diff options
31 files changed, 31 insertions, 31 deletions
diff --git a/scraper/reports/report_coverage.html b/scraper/reports/report_coverage.html index ecee4212..962695d0 100644 --- a/scraper/reports/report_coverage.html +++ b/scraper/reports/report_coverage.html @@ -1 +1 @@ -<!doctype html><html><head><meta charset='utf-8'><title>Coverage</title><link rel='stylesheet' href='reports.css'></head><body><h2>Coverage</h2><table border='1' cellpadding='3' cellspacing='3'><th>Paper ID</th><th>Megapixels Key</th><th>Megapixels Name</th><th>Report Link</th><th>PDF Link</th><th>Journal</th><th>Type</th><th>Address</th><th>Country</th><th>Lat</th><th>Lng</th><th>Coverage</th><th>Total Citations</th><th>Geocoded Citations</th><th>Unknown Citations</th><th>Empty Citations</th><th>With PDF</th><th>With DOI</th><tr><td>b5f2846a506fc417e7da43f6a7679146d99c5e96</td><td>ucf_101</td><td>UCF101</td><td><a href="papers/b5f2846a506fc417e7da43f6a7679146d99c5e96.html" target="_blank">UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild</a></td><td><a href="https://arxiv.org/pdf/1212.0402.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>999</td><td>607</td><td>392</td><td>56</td><td>628</td><td>362</td></tr><tr><td>0e986f51fe45b00633de9fd0c94d082d2be51406</td><td>afw</td><td>AFW</td><td><a href="papers/0e986f51fe45b00633de9fd0c94d082d2be51406.html" target="_blank">Face detection, pose estimation, and landmark localization in the wild</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>999</td><td>605</td><td>394</td><td>45</td><td>576</td><td>422</td></tr><tr><td>026e3363b7f76b51cc711886597a44d5f1fd1de2</td><td>kitti</td><td>KITTI</td><td><a href="papers/026e3363b7f76b51cc711886597a44d5f1fd1de2.html" target="_blank">Vision meets robotics: The KITTI dataset</a></td><td><a href="https://pdfs.semanticscholar.org/026e/3363b7f76b51cc711886597a44d5f1fd1de2.pdf" target="_blank">[pdf]</a></td><td>I. J. Robotics Res.</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>547</td><td>452</td><td>37</td><td>553</td><td>462</td></tr><tr><td>370b5757a5379b15e30d619e4d3fb9e8e13f3256</td><td>lfw</td><td>LFW</td><td><a href="papers/370b5757a5379b15e30d619e4d3fb9e8e13f3256.html" target="_blank">Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments</a></td><td><a href="https://pdfs.semanticscholar.org/c6b3/ca4f939e36a9679a70e14ce8b1bbbc5618f3.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>547</td><td>452</td><td>64</td><td>598</td><td>382</td></tr><tr><td>162ea969d1929ed180cc6de9f0bf116993ff6e06</td><td>vgg_faces</td><td>VGG Face</td><td><a href="papers/162ea969d1929ed180cc6de9f0bf116993ff6e06.html" target="_blank">Deep Face Recognition</a></td><td><a href="https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>546</td><td>453</td><td>58</td><td>558</td><td>429</td></tr><tr><td>5e0f8c355a37a5a89351c02f174e7a5ddcb98683</td><td>coco</td><td>COCO</td><td><a href="papers/5e0f8c355a37a5a89351c02f174e7a5ddcb98683.html" target="_blank">Microsoft COCO: Common Objects in Context</a></td><td><a href="https://arxiv.org/pdf/1405.0312.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>545</td><td>454</td><td>26</td><td>722</td><td>259</td></tr><tr><td>0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a</td><td>voc</td><td>VOC</td><td><a href="papers/0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a.html" target="_blank">The Pascal Visual Object Classes (VOC) Challenge</a></td><td><a href="http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>999</td><td>544</td><td>454</td><td>30</td><td>557</td><td>422</td></tr><tr><td>4d9a02d080636e9666c4d1cc438b9893391ec6c7</td><td>cohn_kanade_plus</td><td>CK+</td><td><a href="papers/4d9a02d080636e9666c4d1cc438b9893391ec6c7.html" target="_blank">The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops</td><td>edu</td><td>University of Pittsburgh</td><td>United States</td><td>40.44415295</td><td>-79.96243993</td><td>54%</td><td>999</td><td>543</td><td>456</td><td>58</td><td>470</td><td>518</td></tr><tr><td>759a3b3821d9f0e08e0b0a62c8b693230afc3f8d</td><td>pubfig</td><td>PubFig</td><td><a href="papers/759a3b3821d9f0e08e0b0a62c8b693230afc3f8d.html" target="_blank">Attribute and simile classifiers for face verification</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE 12th International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>914</td><td>535</td><td>379</td><td>49</td><td>586</td><td>316</td></tr><tr><td>31b58ced31f22eab10bd3ee2d9174e7c14c27c01</td><td>tiny_images</td><td>Tiny Images</td><td><a href="papers/31b58ced31f22eab10bd3ee2d9174e7c14c27c01.html" target="_blank">80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>999</td><td>529</td><td>470</td><td>89</td><td>644</td><td>337</td></tr><tr><td>6d96f946aaabc734af7fe3fc4454cf8547fcd5ed</td><td>ar_facedb</td><td>AR Face</td><td><a href="papers/6d96f946aaabc734af7fe3fc4454cf8547fcd5ed.html" target="_blank">The AR face database</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>999</td><td>519</td><td>480</td><td>56</td><td>455</td><td>530</td></tr><tr><td>18ae7c9a4bbc832b8b14bc4122070d7939f5e00e</td><td>frgc</td><td>FRGC</td><td><a href="papers/18ae7c9a4bbc832b8b14bc4122070d7939f5e00e.html" target="_blank">Overview of the face recognition grand challenge</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)</td><td>edu</td><td>NIST</td><td>United States</td><td>39.14004000</td><td>-77.21850600</td><td>52%</td><td>999</td><td>519</td><td>479</td><td>86</td><td>549</td><td>442</td></tr><tr><td>18c72175ddbb7d5956d180b65a96005c100f6014</td><td>yale_faces</td><td>YaleFaces</td><td><a href="papers/18c72175ddbb7d5956d180b65a96005c100f6014.html" target="_blank">From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose</a></td><td><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.147.1487&rep=rep1&type=pdf" target="_blank">[pdf]</a></td><td>IEEE Trans. Pattern Anal. Mach. Intell.</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>999</td><td>516</td><td>483</td><td>66</td><td>497</td><td>462</td></tr><tr><td>f72f6a45ee240cc99296a287ff725aaa7e7ebb35</td><td>caltech_pedestrians</td><td>Caltech Pedestrians</td><td><a href="papers/f72f6a45ee240cc99296a287ff725aaa7e7ebb35.html" target="_blank">Pedestrian Detection: An Evaluation of the State of the Art</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td>edu</td><td>California Institute of Technology</td><td>United States</td><td>34.13710185</td><td>-118.12527487</td><td>51%</td><td>999</td><td>510</td><td>489</td><td>71</td><td>526</td><td>466</td></tr><tr><td>10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5</td><td>inria_person</td><td>INRIA Pedestrian</td><td><a href="papers/10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5.html" target="_blank">Histograms of oriented gradients for human detection</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)</td><td>edu</td><td>INRIA Rhone-Alps, Montbonnot, France</td><td>France</td><td>45.21788600</td><td>5.80736900</td><td>51%</td><td>999</td><td>510</td><td>489</td><td>44</td><td>419</td><td>509</td></tr><tr><td>2ad0ee93d029e790ebb50574f403a09854b65b7e</td><td>yale_faces</td><td>YaleFaces</td><td><a href="papers/2ad0ee93d029e790ebb50574f403a09854b65b7e.html" target="_blank">Acquiring linear subspaces for face recognition under variable lighting</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>999</td><td>498</td><td>501</td><td>94</td><td>495</td><td>491</td></tr><tr><td>23fc83c8cfff14a16df7ca497661264fc54ed746</td><td>cohn_kanade</td><td>CK</td><td><a href="papers/23fc83c8cfff14a16df7ca497661264fc54ed746.html" target="_blank">Comprehensive Database for Facial Expression Analysis</a></td><td><a href="https://pdfs.semanticscholar.org/23fc/83c8cfff14a16df7ca497661264fc54ed746.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>999</td><td>492</td><td>507</td><td>69</td><td>539</td><td>439</td></tr><tr><td>b62628ac06bbac998a3ab825324a41a11bc3a988</td><td>m2vtsdb_extended</td><td>xm2vtsdb</td><td><a href="papers/b62628ac06bbac998a3ab825324a41a11bc3a988.html" target="_blank">XM2VTSDB : The extended M2VTS database</a></td><td><a href="https://pdfs.semanticscholar.org/b626/28ac06bbac998a3ab825324a41a11bc3a988.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>864</td><td>463</td><td>401</td><td>40</td><td>493</td><td>404</td></tr><tr><td>6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4</td><td>celeba</td><td>CelebA</td><td><a href="papers/6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4.html" target="_blank">Deep Learning Face Attributes in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td>edu</td><td>Chinese University of Hong Kong</td><td>China</td><td>22.41626320</td><td>114.21093180</td><td>50%</td><td>919</td><td>456</td><td>462</td><td>64</td><td>694</td><td>201</td></tr><tr><td>dc8b25e35a3acb812beb499844734081722319b4</td><td>feret</td><td>FERET</td><td><a href="papers/dc8b25e35a3acb812beb499844734081722319b4.html" target="_blank">The FERET database and evaluation procedure for face-recognition algorithms</a></td><td><a href="http://biometrics.nist.gov/cs_links/face/frvt/feret/FERET_Database_evaluation_procedure.pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>999</td><td>455</td><td>544</td><td>103</td><td>590</td><td>421</td></tr><tr><td>55206f0b5f57ce17358999145506cd01e570358c</td><td>orl</td><td>ORL</td><td><a href="papers/55206f0b5f57ce17358999145506cd01e570358c.html" target="_blank">Parameterisation of a stochastic model for human face identification</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>999</td><td>452</td><td>547</td><td>94</td><td>543</td><td>427</td></tr><tr><td>45c31cde87258414f33412b3b12fc5bec7cb3ba9</td><td>jaffe</td><td>JAFFE</td><td><a href="papers/45c31cde87258414f33412b3b12fc5bec7cb3ba9.html" target="_blank">Coding Facial Expressions with Gabor Wavelets</a></td><td><a href="http://physics.lbl.gov/patrecog/images/Facerecog_gabor.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>899</td><td>443</td><td>456</td><td>51</td><td>431</td><td>451</td></tr><tr><td>4d423acc78273b75134e2afd1777ba6d3a398973</td><td>cmu_pie</td><td>CMU PIE</td><td><a href="papers/4d423acc78273b75134e2afd1777ba6d3a398973.html" target="_blank">The CMU Pose, Illumination, and Expression (PIE) Database</a></td><td><a href="http://www.comp.nus.edu.sg/~tsim/piedb.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>760</td><td>409</td><td>350</td><td>50</td><td>404</td><td>345</td></tr><tr><td>4d423acc78273b75134e2afd1777ba6d3a398973</td><td>multi_pie</td><td>MULTIPIE</td><td><a href="papers/4d423acc78273b75134e2afd1777ba6d3a398973.html" target="_blank">The CMU Pose, Illumination, and Expression (PIE) Database</a></td><td><a href="http://www.comp.nus.edu.sg/~tsim/piedb.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>760</td><td>409</td><td>350</td><td>50</td><td>404</td><td>345</td></tr><tr><td>2830fb5282de23d7784b4b4bc37065d27839a412</td><td>h3d</td><td>H3D</td><td><a href="papers/2830fb5282de23d7784b4b4bc37065d27839a412.html" target="_blank">Poselets: Body part detectors trained using 3D human pose annotations</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE 12th International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>716</td><td>370</td><td>346</td><td>60</td><td>492</td><td>222</td></tr><tr><td>6273b3491e94ea4dd1ce42b791d77bdc96ee73a8</td><td>viper</td><td>VIPeR</td><td><a href="papers/6273b3491e94ea4dd1ce42b791d77bdc96ee73a8.html" target="_blank">Evaluating Appearance Models for Recognition, Reacquisition, and Tracking</a></td><td><a href="https://pdfs.semanticscholar.org/7847/b1fbccadb780b655e72c66d3f9e93ddb880c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>624</td><td>352</td><td>272</td><td>35</td><td>342</td><td>276</td></tr><tr><td>6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3</td><td>cuhk_campus_03</td><td>CUHK03 Campus</td><td><a href="papers/6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3.html" target="_blank">DeepReID: Deep Filter Pairing Neural Network for Person Re-identification</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>568</td><td>320</td><td>248</td><td>26</td><td>320</td><td>235</td></tr><tr><td>2258e01865367018ed6f4262c880df85b94959f8</td><td>mot</td><td>MOT</td><td><a href="papers/2258e01865367018ed6f4262c880df85b94959f8.html" target="_blank">Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics</a></td><td><a href="https://cvhci.anthropomatik.kit.edu/images/stories/msmmi/papers/eurasip2008.pdf" target="_blank">[pdf]</a></td><td>EURASIP J. Image and Video Processing</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>632</td><td>313</td><td>317</td><td>50</td><td>358</td><td>264</td></tr><tr><td>560e0e58d0059259ddf86fcec1fa7975dee6a868</td><td>youtube_faces</td><td>YouTubeFaces</td><td><a href="papers/560e0e58d0059259ddf86fcec1fa7975dee6a868.html" target="_blank">Face recognition in unconstrained videos with matched background similarity</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>509</td><td>291</td><td>217</td><td>28</td><td>294</td><td>216</td></tr><tr><td>3316521a5527c7700af8ae6aef32a79a8b83672c</td><td>tud_campus</td><td>TUD-Campus</td><td><a href="papers/3316521a5527c7700af8ae6aef32a79a8b83672c.html" target="_blank">People-tracking-by-detection and people-detection-by-tracking</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>545</td><td>287</td><td>257</td><td>40</td><td>330</td><td>218</td></tr><tr><td>3316521a5527c7700af8ae6aef32a79a8b83672c</td><td>tud_crossing</td><td>TUD-Crossing</td><td><a href="papers/3316521a5527c7700af8ae6aef32a79a8b83672c.html" target="_blank">People-tracking-by-detection and people-detection-by-tracking</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>545</td><td>287</td><td>257</td><td>40</td><td>330</td><td>218</td></tr><tr><td>3316521a5527c7700af8ae6aef32a79a8b83672c</td><td>tud_pedestrian</td><td>TUD-Pedestrian</td><td><a href="papers/3316521a5527c7700af8ae6aef32a79a8b83672c.html" target="_blank">People-tracking-by-detection and people-detection-by-tracking</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>545</td><td>287</td><td>257</td><td>40</td><td>330</td><td>218</td></tr><tr><td>853bd61bc48a431b9b1c7cab10c603830c488e39</td><td>casia_webface</td><td>CASIA Webface</td><td><a href="papers/853bd61bc48a431b9b1c7cab10c603830c488e39.html" target="_blank">Learning Face Representation from Scratch</a></td><td><a href="https://arxiv.org/pdf/1411.7923.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>476</td><td>277</td><td>199</td><td>26</td><td>290</td><td>182</td></tr><tr><td>cc589c499dcf323fe4a143bbef0074c3e31f9b60</td><td>bu_3dfe</td><td>BU-3DFE</td><td><a href="papers/cc589c499dcf323fe4a143bbef0074c3e31f9b60.html" target="_blank">A 3D facial expression database for facial behavior research</a></td><td><span class="gray">[pdf]</a></td><td>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>588</td><td>275</td><td>312</td><td>45</td><td>306</td><td>282</td></tr><tr><td>4308bd8c28e37e2ed9a3fcfe74d5436cce34b410</td><td>market_1501</td><td>Market 1501</td><td><a href="papers/4308bd8c28e37e2ed9a3fcfe74d5436cce34b410.html" target="_blank">Scalable Person Re-identification: A Benchmark</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>460</td><td>254</td><td>206</td><td>16</td><td>263</td><td>185</td></tr><tr><td>4053e3423fb70ad9140ca89351df49675197196a</td><td>bio_id</td><td>BioID Face</td><td><a href="papers/4053e3423fb70ad9140ca89351df49675197196a.html" target="_blank">Robust Face Detection Using the Hausdorff Distance</a></td><td><a href="https://pdfs.semanticscholar.org/4053/e3423fb70ad9140ca89351df49675197196a.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>48%</td><td>511</td><td>247</td><td>264</td><td>51</td><td>329</td><td>182</td></tr><tr><td>8a3c5507237957d013a0fe0f082cab7f757af6ee</td><td>mafl</td><td>MAFL</td><td><a href="papers/8a3c5507237957d013a0fe0f082cab7f757af6ee.html" target="_blank">Facial Landmark Detection by Deep Multi-task Learning</a></td><td><a href="https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>407</td><td>239</td><td>168</td><td>18</td><td>252</td><td>153</td></tr><tr><td>8a3c5507237957d013a0fe0f082cab7f757af6ee</td><td>mtfl</td><td>MTFL</td><td><a href="papers/8a3c5507237957d013a0fe0f082cab7f757af6ee.html" target="_blank">Facial Landmark Detection by Deep Multi-task Learning</a></td><td><a href="https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>407</td><td>239</td><td>168</td><td>18</td><td>252</td><td>153</td></tr><tr><td>9055b155cbabdce3b98e16e5ac9c0edf00f9552f</td><td>morph</td><td>MORPH Commercial</td><td><a href="papers/9055b155cbabdce3b98e16e5ac9c0edf00f9552f.html" target="_blank">MORPH: a longitudinal image database of normal adult age-progression</a></td><td><span class="gray">[pdf]</a></td><td>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>437</td><td>225</td><td>211</td><td>24</td><td>228</td><td>203</td></tr><tr><td>9055b155cbabdce3b98e16e5ac9c0edf00f9552f</td><td>morph_nc</td><td>MORPH Non-Commercial</td><td><a href="papers/9055b155cbabdce3b98e16e5ac9c0edf00f9552f.html" target="_blank">MORPH: a longitudinal image database of normal adult age-progression</a></td><td><span class="gray">[pdf]</a></td><td>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>437</td><td>225</td><td>211</td><td>24</td><td>228</td><td>203</td></tr><tr><td>3325860c0c82a93b2eac654f5324dd6a776f609e</td><td>mpii_human_pose</td><td>MPII Human Pose</td><td><a href="papers/3325860c0c82a93b2eac654f5324dd6a776f609e.html" target="_blank">2D Human Pose Estimation: New Benchmark and State of the Art Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>387</td><td>224</td><td>163</td><td>21</td><td>291</td><td>96</td></tr><tr><td>16c7c31a7553d99f1837fc6e88e77b5ccbb346b8</td><td>prid</td><td>PRID</td><td><a href="papers/16c7c31a7553d99f1837fc6e88e77b5ccbb346b8.html" target="_blank">Person Re-identification by Descriptive and Discriminative Classification</a></td><td><a href="https://pdfs.semanticscholar.org/4c1b/f0592be3e535faf256c95e27982db9b3d3d3.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>386</td><td>220</td><td>166</td><td>25</td><td>204</td><td>180</td></tr><tr><td>2485c98aa44131d1a2f7d1355b1e372f2bb148ad</td><td>cas_peal</td><td>CAS-PEAL</td><td><a href="papers/2485c98aa44131d1a2f7d1355b1e372f2bb148ad.html" target="_blank">The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>429</td><td>218</td><td>211</td><td>39</td><td>198</td><td>234</td></tr><tr><td>2a75f34663a60ab1b04a0049ed1d14335129e908</td><td>mmi_facial_expression</td><td>MMI Facial Expression Dataset</td><td><a href="papers/2a75f34663a60ab1b04a0049ed1d14335129e908.html" target="_blank">Web-based database for facial expression analysis</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE International Conference on Multimedia and Expo</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>464</td><td>217</td><td>247</td><td>45</td><td>282</td><td>188</td></tr><tr><td>75da1df4ed319926c544eefe17ec8d720feef8c0</td><td>fddb</td><td>FDDB</td><td><a href="papers/75da1df4ed319926c544eefe17ec8d720feef8c0.html" target="_blank">FDDB: A benchmark for face detection in unconstrained settings</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>380</td><td>214</td><td>166</td><td>22</td><td>202</td><td>164</td></tr><tr><td>6dd0597f8513dc100cd0bc1b493768cde45098a9</td><td>stickmen_buffy</td><td>Buffy Stickmen</td><td><a href="papers/6dd0597f8513dc100cd0bc1b493768cde45098a9.html" target="_blank">Learning to parse images of articulated bodies</a></td><td><a href="http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_899.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>369</td><td>207</td><td>161</td><td>32</td><td>237</td><td>131</td></tr><tr><td>6dd0597f8513dc100cd0bc1b493768cde45098a9</td><td>stickmen_pascal</td><td>Stickmen PASCAL</td><td><a href="papers/6dd0597f8513dc100cd0bc1b493768cde45098a9.html" target="_blank">Learning to parse images of articulated bodies</a></td><td><a href="http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_899.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>369</td><td>207</td><td>161</td><td>32</td><td>237</td><td>131</td></tr><tr><td>6dd0597f8513dc100cd0bc1b493768cde45098a9</td><td>stickmen_pascal</td><td>Stickmen PASCAL</td><td><a href="papers/6dd0597f8513dc100cd0bc1b493768cde45098a9.html" target="_blank">Learning to parse images of articulated bodies</a></td><td><a href="http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_899.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>369</td><td>207</td><td>161</td><td>32</td><td>237</td><td>131</td></tr><tr><td>95f12d27c3b4914e0668a268360948bce92f7db3</td><td>helen</td><td>Helen</td><td><a href="papers/95f12d27c3b4914e0668a268360948bce92f7db3.html" target="_blank">Interactive Facial Feature Localization</a></td><td><a href="https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>company</td><td>Facebook</td><td>United States</td><td>37.39367170</td><td>-122.08072620</td><td>57%</td><td>352</td><td>200</td><td>152</td><td>26</td><td>212</td><td>146</td></tr><tr><td>044d9a8c61383312cdafbcc44b9d00d650b21c70</td><td>fiw_300</td><td>300-W</td><td><a href="papers/044d9a8c61383312cdafbcc44b9d00d650b21c70.html" target="_blank">300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision Workshops</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>323</td><td>198</td><td>125</td><td>27</td><td>208</td><td>120</td></tr><tr><td>3765df816dc5a061bc261e190acc8bdd9d47bec0</td><td>rafd</td><td>RaFD</td><td><a href="papers/3765df816dc5a061bc261e190acc8bdd9d47bec0.html" target="_blank">Presentation and validation of the Radboud Faces Database</a></td><td><a href="https://pdfs.semanticscholar.org/3765/df816dc5a061bc261e190acc8bdd9d47bec0.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>39%</td><td>487</td><td>192</td><td>295</td><td>39</td><td>342</td><td>144</td></tr><tr><td>2724ba85ec4a66de18da33925e537f3902f21249</td><td>cofw</td><td>COFW</td><td><a href="papers/2724ba85ec4a66de18da33925e537f3902f21249.html" target="_blank">Robust Face Landmark Estimation under Occlusion</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision</td><td>edu</td><td>California Institute of Technology</td><td>United States</td><td>34.13710185</td><td>-118.12527487</td><td>57%</td><td>325</td><td>185</td><td>140</td><td>19</td><td>194</td><td>133</td></tr><tr><td>639937b3a1b8bded3f7e9a40e85bd3770016cf3c</td><td>bfm</td><td>BFM</td><td><a href="papers/639937b3a1b8bded3f7e9a40e85bd3770016cf3c.html" target="_blank">A 3D Face Model for Pose and Illumination Invariant Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>343</td><td>183</td><td>160</td><td>25</td><td>223</td><td>114</td></tr><tr><td>13f06b08f371ba8b5d31c3e288b4deb61335b462</td><td>eth_andreas_ess</td><td>ETHZ Pedestrian</td><td><a href="papers/13f06b08f371ba8b5d31c3e288b4deb61335b462.html" target="_blank">Depth and Appearance for Mobile Scene Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2007 IEEE 11th International Conference on Computer Vision</td><td>edu</td><td>ETH Zurich</td><td>Switzerland</td><td>47.37631300</td><td>8.54766990</td><td>55%</td><td>324</td><td>179</td><td>145</td><td>26</td><td>193</td><td>127</td></tr><tr><td>a74251efa970b92925b89eeef50a5e37d9281ad0</td><td>aflw</td><td>AFLW</td><td><a href="papers/a74251efa970b92925b89eeef50a5e37d9281ad0.html" target="_blank">Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>318</td><td>177</td><td>141</td><td>35</td><td>211</td><td>107</td></tr><tr><td>4b1d23d17476fcf78f4cbadf69fb130b1aa627c0</td><td>leeds_sports_pose</td><td>Leeds Sports Pose</td><td><a href="papers/4b1d23d17476fcf78f4cbadf69fb130b1aa627c0.html" target="_blank">Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation</a></td><td><a href="http://www.bmva.org/bmvc/2010/conference/paper12/abstract12.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>285</td><td>174</td><td>111</td><td>13</td><td>197</td><td>93</td></tr><tr><td>4b1d23d17476fcf78f4cbadf69fb130b1aa627c0</td><td>stickmen_buffy</td><td>Buffy Stickmen</td><td><a href="papers/4b1d23d17476fcf78f4cbadf69fb130b1aa627c0.html" target="_blank">Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation</a></td><td><a href="http://www.bmva.org/bmvc/2010/conference/paper12/abstract12.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>285</td><td>174</td><td>111</td><td>13</td><td>197</td><td>93</td></tr><tr><td>5981e6479c3fd4e31644db35d236bfb84ae46514</td><td>mot</td><td>MOT</td><td><a href="papers/5981e6479c3fd4e31644db35d236bfb84ae46514.html" target="_blank">Learning to associate: HybridBoosted multi-target tracker for crowded scene</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>University of Southern California</td><td>United States</td><td>34.02241490</td><td>-118.28634407</td><td>53%</td><td>326</td><td>172</td><td>153</td><td>27</td><td>190</td><td>137</td></tr><tr><td>436f798d1a4e54e5947c1e7d7375c31b2bdb4064</td><td>tud_multiview</td><td>TUD-Multiview</td><td><a href="papers/436f798d1a4e54e5947c1e7d7375c31b2bdb4064.html" target="_blank">Monocular 3D pose estimation and tracking by detection</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>TU Darmstadt</td><td>Germany</td><td>49.87482770</td><td>8.65632810</td><td>55%</td><td>311</td><td>172</td><td>139</td><td>35</td><td>208</td><td>105</td></tr><tr><td>436f798d1a4e54e5947c1e7d7375c31b2bdb4064</td><td>tud_stadtmitte</td><td>TUD-Stadtmitte</td><td><a href="papers/436f798d1a4e54e5947c1e7d7375c31b2bdb4064.html" target="_blank">Monocular 3D pose estimation and tracking by detection</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>TU Darmstadt</td><td>Germany</td><td>49.87482770</td><td>8.65632810</td><td>55%</td><td>311</td><td>172</td><td>139</td><td>35</td><td>208</td><td>105</td></tr><tr><td>2acf7e58f0a526b957be2099c10aab693f795973</td><td>bosphorus</td><td>The Bosphorus</td><td><a href="papers/2acf7e58f0a526b957be2099c10aab693f795973.html" target="_blank">Bosphorus Database for 3D Face Analysis</a></td><td><a href="https://pdfs.semanticscholar.org/4254/fbba3846008f50671edc9cf70b99d7304543.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>352</td><td>171</td><td>181</td><td>17</td><td>162</td><td>188</td></tr><tr><td>44484d2866f222bbb9b6b0870890f9eea1ffb2d0</td><td>cuhk_campus_03</td><td>CUHK03 Campus</td><td><a href="papers/44484d2866f222bbb9b6b0870890f9eea1ffb2d0.html" target="_blank">Human Reidentification with Transferred Metric Learning</a></td><td><a href="http://www.ee.cuhk.edu.hk/~xgwang/papers/liZWaccv12.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>280</td><td>167</td><td>113</td><td>12</td><td>139</td><td>137</td></tr><tr><td>833fa04463d90aab4a9fe2870d480f0b40df446e</td><td>sun_attributes</td><td>SUN</td><td><a href="papers/833fa04463d90aab4a9fe2870d480f0b40df446e.html" target="_blank">SUN attribute database: Discovering, annotating, and recognizing scene attributes</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Brown University</td><td>United States</td><td>41.82686820</td><td>-71.40123146</td><td>58%</td><td>264</td><td>154</td><td>110</td><td>27</td><td>206</td><td>56</td></tr><tr><td>010f0f4929e6a6644fb01f0e43820f91d0fad292</td><td>yfcc_100m</td><td>YFCC100M</td><td><a href="papers/010f0f4929e6a6644fb01f0e43820f91d0fad292.html" target="_blank">YFCC100M: the new data in multimedia research</a></td><td><span class="gray">[pdf]</a></td><td>Commun. ACM</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>274</td><td>154</td><td>120</td><td>24</td><td>172</td><td>100</td></tr><tr><td>9361b784e73e9238d5cefbea5ac40d35d1e3103f</td><td>town_centre</td><td>TownCentre</td><td><a href="papers/9361b784e73e9238d5cefbea5ac40d35d1e3103f.html" target="_blank">Stable multi-target tracking in real-time surveillance video</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>328</td><td>153</td><td>175</td><td>24</td><td>186</td><td>140</td></tr><tr><td>6204776d31359d129a582057c2d788a14f8aadeb</td><td>youtube_celebrities</td><td>YouTube Celebrities</td><td><a href="papers/6204776d31359d129a582057c2d788a14f8aadeb.html" target="_blank">Face tracking and recognition with visual constraints in real-world videos</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Rutgers University</td><td>United States</td><td>40.47913175</td><td>-74.43168868</td><td>53%</td><td>267</td><td>142</td><td>124</td><td>14</td><td>125</td><td>121</td></tr><tr><td>2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9</td><td>graz</td><td>Graz Pedestrian</td><td><a href="papers/2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9.html" target="_blank">Generic object recognition with boosting</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td>edu</td><td>TU Graz</td><td>Austria</td><td>47.07071400</td><td>15.43950400</td><td>47%</td><td>293</td><td>138</td><td>155</td><td>16</td><td>195</td><td>97</td></tr><tr><td>e8de844fefd54541b71c9823416daa238be65546</td><td>visual_phrases</td><td>Phrasal Recognition</td><td><a href="papers/e8de844fefd54541b71c9823416daa238be65546.html" target="_blank">Recognition using visual phrases</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td>edu</td><td>University of Illinois, Urbana-Champaign</td><td>United States</td><td>40.11116745</td><td>-88.22587665</td><td>55%</td><td>246</td><td>135</td><td>111</td><td>18</td><td>170</td><td>68</td></tr><tr><td>38b55d95189c5e69cf4ab45098a48fba407609b4</td><td>cuhk_campus_03</td><td>CUHK03 Campus</td><td><a href="papers/38b55d95189c5e69cf4ab45098a48fba407609b4.html" target="_blank">Locally Aligned Feature Transforms across Views</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>258</td><td>134</td><td>124</td><td>17</td><td>136</td><td>117</td></tr><tr><td>7808937b46acad36e43c30ae4e9f3fd57462853d</td><td>bpad</td><td>BPAD</td><td><a href="papers/7808937b46acad36e43c30ae4e9f3fd57462853d.html" target="_blank">Describing people: A poselet-based approach to attribute classification</a></td><td><span class="gray">[pdf]</a></td><td>2011 International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>230</td><td>128</td><td>102</td><td>14</td><td>163</td><td>66</td></tr><tr><td>0c91808994a250d7be332400a534a9291ca3b60e</td><td>graz</td><td>Graz Pedestrian</td><td><a href="papers/0c91808994a250d7be332400a534a9291ca3b60e.html" target="_blank">Weak Hypotheses and Boosting for Generic Object Detection and Recognition</a></td><td><a href="https://pdfs.semanticscholar.org/0c91/808994a250d7be332400a534a9291ca3b60e.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>236</td><td>127</td><td>109</td><td>17</td><td>161</td><td>77</td></tr><tr><td>4c170a0dcc8de75587dae21ca508dab2f9343974</td><td>face_tracer</td><td>FaceTracer</td><td><a href="papers/4c170a0dcc8de75587dae21ca508dab2f9343974.html" target="_blank">FaceTracer: A Search Engine for Large Collections of Images with Faces</a></td><td><a href="https://pdfs.semanticscholar.org/73a8/1d311eedac8dea3ca24dc15b6990fa4a725e.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>225</td><td>126</td><td>99</td><td>17</td><td>146</td><td>77</td></tr><tr><td>140c95e53c619eac594d70f6369f518adfea12ef</td><td>ijb_a</td><td>IJB-A</td><td><a href="papers/140c95e53c619eac594d70f6369f518adfea12ef.html" target="_blank">Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>237</td><td>123</td><td>114</td><td>22</td><td>159</td><td>76</td></tr><tr><td>98bb029afe2a1239c3fdab517323066f0957b81b</td><td>ilids_mcts_vid</td><td>iLIDS-VID</td><td><a href="papers/98bb029afe2a1239c3fdab517323066f0957b81b.html" target="_blank">Person Re-identification by Video Ranking</a></td><td><a href="https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>209</td><td>121</td><td>88</td><td>9</td><td>111</td><td>97</td></tr><tr><td>98bb029afe2a1239c3fdab517323066f0957b81b</td><td>sdu_vid</td><td>SDU-VID</td><td><a href="papers/98bb029afe2a1239c3fdab517323066f0957b81b.html" target="_blank">Person Re-identification by Video Ranking</a></td><td><a href="https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>209</td><td>121</td><td>88</td><td>9</td><td>111</td><td>97</td></tr><tr><td>35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62</td><td>coco_qa</td><td>COCO QA</td><td><a href="papers/35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62.html" target="_blank">Exploring Models and Data for Image Question Answering</a></td><td><a href="https://arxiv.org/pdf/1505.02074.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>206</td><td>115</td><td>91</td><td>11</td><td>162</td><td>39</td></tr><tr><td>46a01565e6afe7c074affb752e7069ee3bf2e4ef</td><td>sdu_vid</td><td>SDU-VID</td><td><a href="papers/46a01565e6afe7c074affb752e7069ee3bf2e4ef.html" target="_blank">Local Descriptors Encoded by Fisher Vectors for Person Re-identification</a></td><td><a href="https://pdfs.semanticscholar.org/a105/f1ef67b4b02da38eadce8ffb4e13aa301a93.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>197</td><td>112</td><td>85</td><td>16</td><td>108</td><td>88</td></tr><tr><td>b1f4423c227fa37b9680787be38857069247a307</td><td>afew_va</td><td>AFEW-VA</td><td><a href="papers/b1f4423c227fa37b9680787be38857069247a307.html" target="_blank">Collecting Large, Richly Annotated Facial-Expression Databases from Movies</a></td><td><span class="gray">[pdf]</a></td><td>IEEE MultiMedia</td><td>edu</td><td>Australian National University</td><td>Australia</td><td>-35.27769990</td><td>149.11852700</td><td>61%</td><td>181</td><td>111</td><td>70</td><td>8</td><td>87</td><td>97</td></tr><tr><td>570f37ed63142312e6ccdf00ecc376341ec72b9f</td><td>stanford_drone</td><td>Stanford Drone</td><td><a href="papers/570f37ed63142312e6ccdf00ecc376341ec72b9f.html" target="_blank">Social LSTM: Human Trajectory Prediction in Crowded Spaces</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>224</td><td>110</td><td>114</td><td>3</td><td>140</td><td>81</td></tr><tr><td>013909077ad843eb6df7a3e8e290cfd5575999d2</td><td>fiw_300</td><td>300-W</td><td><a href="papers/013909077ad843eb6df7a3e8e290cfd5575999d2.html" target="_blank">A Semi-automatic Methodology for Facial Landmark Annotation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>184</td><td>107</td><td>77</td><td>14</td><td>120</td><td>67</td></tr><tr><td>18010284894ed0edcca74e5bf768ee2e15ef7841</td><td>deep_fashion</td><td>DeepFashion</td><td><a href="papers/18010284894ed0edcca74e5bf768ee2e15ef7841.html" target="_blank">DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>176</td><td>105</td><td>71</td><td>2</td><td>113</td><td>62</td></tr><tr><td>22ad2c8c0f4d6aa4328b38d894b814ec22579761</td><td>gallagher</td><td>Gallagher</td><td><a href="papers/22ad2c8c0f4d6aa4328b38d894b814ec22579761.html" target="_blank">Clothing cosegmentation for recognizing people</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Carnegie Mellon University Silicon Valley</td><td>United States</td><td>37.41021930</td><td>-122.05965487</td><td>59%</td><td>178</td><td>105</td><td>73</td><td>7</td><td>100</td><td>86</td></tr><tr><td>52d7eb0fbc3522434c13cc247549f74bb9609c5d</td><td>wider_face</td><td>WIDER FACE</td><td><a href="papers/52d7eb0fbc3522434c13cc247549f74bb9609c5d.html" target="_blank">WIDER FACE: A Face Detection Benchmark</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td>edu</td><td>Chinese University of Hong Kong</td><td>China</td><td>22.41626320</td><td>114.21093180</td><td>58%</td><td>178</td><td>104</td><td>74</td><td>13</td><td>112</td><td>66</td></tr><tr><td>4e4746094bf60ee83e40d8597a6191e463b57f76</td><td>leeds_sports_pose_extended</td><td>Leeds Sports Pose Extended</td><td><a href="papers/4e4746094bf60ee83e40d8597a6191e463b57f76.html" target="_blank">Learning effective human pose estimation from inaccurate annotation</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td>edu</td><td>University of Leeds</td><td>United Kingdom</td><td>53.80387185</td><td>-1.55245712</td><td>61%</td><td>169</td><td>103</td><td>66</td><td>8</td><td>108</td><td>65</td></tr><tr><td>133f01aec1534604d184d56de866a4bd531dac87</td><td>lfw</td><td>LFW</td><td><a href="papers/133f01aec1534604d184d56de866a4bd531dac87.html" target="_blank">Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>183</td><td>101</td><td>82</td><td>14</td><td>103</td><td>77</td></tr><tr><td>1aad2da473888cb7ebc1bfaa15bfa0f1502ce005</td><td>jpl_pose</td><td>JPL-Interaction dataset</td><td><a href="papers/1aad2da473888cb7ebc1bfaa15bfa0f1502ce005.html" target="_blank">First-Person Activity Recognition: What Are They Doing to Me?</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>66%</td><td>148</td><td>98</td><td>50</td><td>7</td><td>105</td><td>43</td></tr><tr><td>56ffa7d906b08d02d6d5a12c7377a57e24ef3391</td><td>unbc_shoulder_pain</td><td>UNBC-McMaster Pain</td><td><a href="papers/56ffa7d906b08d02d6d5a12c7377a57e24ef3391.html" target="_blank">Painful data: The UNBC-McMaster shoulder pain expression archive database</a></td><td><span class="gray">[pdf]</a></td><td>Face and Gesture 2011</td><td>edu</td><td>Carnegie Mellon University Silicon Valley</td><td>United States</td><td>37.41021930</td><td>-122.05965487</td><td>51%</td><td>189</td><td>97</td><td>92</td><td>22</td><td>108</td><td>78</td></tr><tr><td>0df0d1adea39a5bef318b74faa37de7f3e00b452</td><td>mpii_gaze</td><td>MPIIGaze</td><td><a href="papers/0df0d1adea39a5bef318b74faa37de7f3e00b452.html" target="_blank">Appearance-based gaze estimation in the wild</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>64%</td><td>149</td><td>95</td><td>54</td><td>3</td><td>94</td><td>54</td></tr><tr><td>32c801cb7fbeb742edfd94cccfca4934baec71da</td><td>ucf_crowd</td><td>UCF-CC-50</td><td><a href="papers/32c801cb7fbeb742edfd94cccfca4934baec71da.html" target="_blank">Multi-source Multi-scale Counting in Extremely Dense Crowd Images</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>64%</td><td>148</td><td>95</td><td>53</td><td>5</td><td>80</td><td>65</td></tr><tr><td>29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d</td><td>scface</td><td>SCface</td><td><a href="papers/29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d.html" target="_blank">SCface – surveillance cameras face database</a></td><td><a href="http://scface.org/SCface%20-%20Surveillance%20Cameras%20Face%20Database.pdf" target="_blank">[pdf]</a></td><td>Multimedia Tools and Applications</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>179</td><td>94</td><td>85</td><td>15</td><td>88</td><td>89</td></tr><tr><td>1be498d4bbc30c3bfd0029114c784bc2114d67c0</td><td>adience</td><td>Adience</td><td><a href="papers/1be498d4bbc30c3bfd0029114c784bc2114d67c0.html" target="_blank">Age and Gender Estimation of Unfiltered Faces</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Information Forensics and Security</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>179</td><td>93</td><td>86</td><td>7</td><td>98</td><td>80</td></tr><tr><td>5a5f0287484f0d480fed1ce585dbf729586f0edc</td><td>disfa</td><td>DISFA</td><td><a href="papers/5a5f0287484f0d480fed1ce585dbf729586f0edc.html" target="_blank">DISFA: A Spontaneous Facial Action Intensity Database</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Affective Computing</td><td>edu</td><td>University of Denver</td><td>United States</td><td>39.67665410</td><td>-104.96220300</td><td>49%</td><td>184</td><td>90</td><td>94</td><td>19</td><td>96</td><td>89</td></tr><tr><td>4f93cd09785c6e77bf4bc5a788e079df524c8d21</td><td>soton</td><td>SOTON HiD</td><td><a href="papers/4f93cd09785c6e77bf4bc5a788e079df524c8d21.html" target="_blank">On a Large Sequence-Based Human Gait Database</a></td><td><a href="https://pdfs.semanticscholar.org/4f93/cd09785c6e77bf4bc5a788e079df524c8d21.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>150</td><td>90</td><td>60</td><td>17</td><td>103</td><td>51</td></tr><tr><td>27a2fad58dd8727e280f97036e0d2bc55ef5424c</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/27a2fad58dd8727e280f97036e0d2bc55ef5424c.html" target="_blank">Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking</a></td><td><a href="https://arxiv.org/pdf/1609.01775.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Duke University</td><td>United States</td><td>35.99905220</td><td>-78.92906290</td><td>53%</td><td>169</td><td>89</td><td>80</td><td>6</td><td>113</td><td>54</td></tr><tr><td>27a2fad58dd8727e280f97036e0d2bc55ef5424c</td><td>mot</td><td>MOT</td><td><a href="papers/27a2fad58dd8727e280f97036e0d2bc55ef5424c.html" target="_blank">Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking</a></td><td><a href="https://arxiv.org/pdf/1609.01775.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Duke University</td><td>United States</td><td>35.99905220</td><td>-78.92906290</td><td>53%</td><td>169</td><td>89</td><td>80</td><td>6</td><td>113</td><td>54</td></tr><tr><td>291265db88023e92bb8c8e6390438e5da148e8f5</td><td>msceleb</td><td>MsCeleb</td><td><a href="papers/291265db88023e92bb8c8e6390438e5da148e8f5.html" target="_blank">MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition</a></td><td><a href="https://arxiv.org/pdf/1607.08221.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>180</td><td>88</td><td>92</td><td>16</td><td>120</td><td>59</td></tr><tr><td>3b5b6d19d4733ab606c39c69a889f9e67967f151</td><td>qmul_grid</td><td>GRID</td><td><a href="papers/3b5b6d19d4733ab606c39c69a889f9e67967f151.html" target="_blank">Multi-camera activity correlation analysis</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Queen Mary University of London</td><td>United Kingdom</td><td>51.52472720</td><td>-0.03931035</td><td>62%</td><td>142</td><td>88</td><td>54</td><td>7</td><td>77</td><td>64</td></tr><tr><td>c0387e788a52f10bf35d4d50659cfa515d89fbec</td><td>mars</td><td>MARS</td><td><a href="papers/c0387e788a52f10bf35d4d50659cfa515d89fbec.html" target="_blank">MARS: A Video Benchmark for Large-Scale Person Re-Identification</a></td><td><a href="https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>168</td><td>84</td><td>84</td><td>5</td><td>97</td><td>69</td></tr><tr><td>066000d44d6691d27202896691f08b27117918b9</td><td>psu</td><td>PSU</td><td><a href="papers/066000d44d6691d27202896691f08b27117918b9.html" target="_blank">Vision-Based Analysis of Small Groups in Pedestrian Crowds</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>168</td><td>83</td><td>85</td><td>11</td><td>85</td><td>79</td></tr><tr><td>8b56e33f33e582f3e473dba573a16b598ed9bcdc</td><td>fei</td><td>FEI</td><td><a href="papers/8b56e33f33e582f3e473dba573a16b598ed9bcdc.html" target="_blank">A new ranking method for principal components analysis and its application to face image analysis</a></td><td><span class="gray">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>169</td><td>80</td><td>89</td><td>6</td><td>69</td><td>102</td></tr><tr><td>10195a163ab6348eef37213a46f60a3d87f289c5</td><td>imdb_wiki</td><td>IMDB</td><td><a href="papers/10195a163ab6348eef37213a46f60a3d87f289c5.html" target="_blank">Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks</a></td><td><a href="http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td>edu</td><td>ETH Zurich</td><td>Switzerland</td><td>47.37631300</td><td>8.54766990</td><td>52%</td><td>145</td><td>76</td><td>69</td><td>11</td><td>93</td><td>51</td></tr><tr><td>96e0cfcd81cdeb8282e29ef9ec9962b125f379b0</td><td>megaface</td><td>MegaFace</td><td><a href="papers/96e0cfcd81cdeb8282e29ef9ec9962b125f379b0.html" target="_blank">The MegaFace Benchmark: 1 Million Faces for Recognition at Scale</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>139</td><td>74</td><td>65</td><td>9</td><td>100</td><td>37</td></tr><tr><td>0486214fb58ee9a04edfe7d6a74c6d0f661a7668</td><td>chokepoint</td><td>ChokePoint</td><td><a href="papers/0486214fb58ee9a04edfe7d6a74c6d0f661a7668.html" target="_blank">Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>138</td><td>72</td><td>66</td><td>6</td><td>76</td><td>63</td></tr><tr><td>5a4df9bef1872865f0b619ac3aacc97f49e4a035</td><td>cuhk_train_station</td><td>CUHK Train Station Dataset</td><td><a href="papers/5a4df9bef1872865f0b619ac3aacc97f49e4a035.html" target="_blank">Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Chinese University of Hong Kong</td><td>China</td><td>22.41626320</td><td>114.21093180</td><td>51%</td><td>141</td><td>72</td><td>69</td><td>6</td><td>60</td><td>75</td></tr><tr><td>b91f54e1581fbbf60392364323d00a0cd43e493c</td><td>bp4d_spontanous</td><td>BP4D-Spontanous</td><td><a href="papers/b91f54e1581fbbf60392364323d00a0cd43e493c.html" target="_blank">A high-resolution spontaneous 3D dynamic facial expression database</a></td><td><span class="gray">[pdf]</a></td><td>2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</td><td>edu</td><td>SUNY Binghamton</td><td>United States</td><td>42.08779975</td><td>-75.97066066</td><td>46%</td><td>154</td><td>71</td><td>83</td><td>7</td><td>80</td><td>75</td></tr><tr><td>2d3482dcff69c7417c7b933f22de606a0e8e42d4</td><td>lfw</td><td>LFW</td><td><a href="papers/2d3482dcff69c7417c7b933f22de606a0e8e42d4.html" target="_blank">Labeled Faces in the Wild : Updates and New Reporting Procedures</a></td><td><a href="https://pdfs.semanticscholar.org/2d34/82dcff69c7417c7b933f22de606a0e8e42d4.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>123</td><td>71</td><td>52</td><td>3</td><td>71</td><td>51</td></tr><tr><td>66e6f08873325d37e0ec20a4769ce881e04e964e</td><td>sun_attributes</td><td>SUN</td><td><a href="papers/66e6f08873325d37e0ec20a4769ce881e04e964e.html" target="_blank">The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding</a></td><td><a href="http://www.cc.gatech.edu/~hays/papers/attribute_ijcv.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>116</td><td>69</td><td>47</td><td>14</td><td>84</td><td>31</td></tr><tr><td>8355d095d3534ef511a9af68a3b2893339e3f96b</td><td>imdb_wiki</td><td>IMDB</td><td><a href="papers/8355d095d3534ef511a9af68a3b2893339e3f96b.html" target="_blank">DEX: Deep EXpectation of Apparent Age from a Single Image</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision Workshop (ICCVW)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>122</td><td>68</td><td>54</td><td>6</td><td>75</td><td>48</td></tr><tr><td>0d3bb75852098b25d90f31d2f48fd0cb4944702b</td><td>face_scrub</td><td>FaceScrub</td><td><a href="papers/0d3bb75852098b25d90f31d2f48fd0cb4944702b.html" target="_blank">A data-driven approach to cleaning large face datasets</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE International Conference on Image Processing (ICIP)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>138</td><td>67</td><td>71</td><td>5</td><td>95</td><td>41</td></tr><tr><td>e4754afaa15b1b53e70743880484b8d0736990ff</td><td>fiw_300</td><td>300-W</td><td><a href="papers/e4754afaa15b1b53e70743880484b8d0736990ff.html" target="_blank">300 Faces In-The-Wild Challenge: database and results</a></td><td><a href="http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>129</td><td>66</td><td>63</td><td>9</td><td>74</td><td>55</td></tr><tr><td>2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e</td><td>3dpes</td><td>3DPeS</td><td><a href="papers/2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e.html" target="_blank">3DPeS: 3D people dataset for surveillance and forensics</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>133</td><td>65</td><td>68</td><td>11</td><td>73</td><td>58</td></tr><tr><td>04c2cda00e5536f4b1508cbd80041e9552880e67</td><td>hipsterwars</td><td>Hipsterwars</td><td><a href="papers/04c2cda00e5536f4b1508cbd80041e9552880e67.html" target="_blank">Hipster Wars: Discovering Elements of Fashion Styles</a></td><td><a href="https://pdfs.semanticscholar.org/04c2/cda00e5536f4b1508cbd80041e9552880e67.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>63%</td><td>95</td><td>60</td><td>35</td><td>4</td><td>59</td><td>35</td></tr><tr><td>3b4ec8af470948a72a6ed37a9fd226719a874ebc</td><td>sdu_vid</td><td>SDU-VID</td><td><a href="papers/3b4ec8af470948a72a6ed37a9fd226719a874ebc.html" target="_blank">A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>95</td><td>57</td><td>38</td><td>7</td><td>50</td><td>45</td></tr><tr><td>a0fd85b3400c7b3e11122f44dc5870ae2de9009a</td><td>mafl</td><td>MAFL</td><td><a href="papers/a0fd85b3400c7b3e11122f44dc5870ae2de9009a.html" target="_blank">Learning Deep Representation for Face Alignment with Auxiliary Attributes</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>108</td><td>56</td><td>52</td><td>11</td><td>66</td><td>44</td></tr><tr><td>a0fd85b3400c7b3e11122f44dc5870ae2de9009a</td><td>mtfl</td><td>MTFL</td><td><a href="papers/a0fd85b3400c7b3e11122f44dc5870ae2de9009a.html" target="_blank">Learning Deep Representation for Face Alignment with Auxiliary Attributes</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>108</td><td>56</td><td>52</td><td>11</td><td>66</td><td>44</td></tr><tr><td>06f02199690961ba52997cde1527e714d2b3bf8f</td><td>columbia_gaze</td><td>Columbia Gaze</td><td><a href="papers/06f02199690961ba52997cde1527e714d2b3bf8f.html" target="_blank">Gaze locking: passive eye contact detection for human-object interaction</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Columbia University</td><td>United States</td><td>40.84198360</td><td>-73.94368971</td><td>70%</td><td>79</td><td>55</td><td>24</td><td>0</td><td>49</td><td>34</td></tr><tr><td>08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7</td><td>kin_face</td><td>UB KinFace</td><td><a href="papers/08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7.html" target="_blank">Understanding Kin Relationships in a Photo</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Multimedia</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>94</td><td>55</td><td>39</td><td>1</td><td>33</td><td>61</td></tr><tr><td>2a4bbee0b4cf52d5aadbbc662164f7efba89566c</td><td>peta</td><td>PETA</td><td><a href="papers/2a4bbee0b4cf52d5aadbbc662164f7efba89566c.html" target="_blank">Pedestrian Attribute Recognition At Far Distance</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>62%</td><td>88</td><td>55</td><td>33</td><td>1</td><td>50</td><td>36</td></tr><tr><td>3394168ff0719b03ff65bcea35336a76b21fe5e4</td><td>penn_fudan</td><td>Penn Fudan</td><td><a href="papers/3394168ff0719b03ff65bcea35336a76b21fe5e4.html" target="_blank">Object Detection Combining Recognition and Segmentation</a></td><td><a href="https://pdfs.semanticscholar.org/3394/168ff0719b03ff65bcea35336a76b21fe5e4.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>105</td><td>53</td><td>52</td><td>9</td><td>58</td><td>43</td></tr><tr><td>4df3143922bcdf7db78eb91e6b5359d6ada004d2</td><td>cfd</td><td>CFD</td><td><a href="papers/4df3143922bcdf7db78eb91e6b5359d6ada004d2.html" target="_blank">The Chicago face database: A free stimulus set of faces and norming data.</a></td><td><a href="https://pdfs.semanticscholar.org/4df3/143922bcdf7db78eb91e6b5359d6ada004d2.pdf" target="_blank">[pdf]</a></td><td>Behavior research methods</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>99</td><td>52</td><td>47</td><td>1</td><td>73</td><td>21</td></tr><tr><td>0c4a139bb87c6743c7905b29a3cfec27a5130652</td><td>feret</td><td>FERET</td><td><a href="papers/0c4a139bb87c6743c7905b29a3cfec27a5130652.html" target="_blank">The FERET Verification Testing Protocol for Face Recognition Algorithms</a></td><td><a href="https://pdfs.semanticscholar.org/8d2a/1c768fce6f71584dd993fb97e7b6419aaf60.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>115</td><td>49</td><td>66</td><td>8</td><td>75</td><td>37</td></tr><tr><td>3cd40bfa1ff193a96bde0207e5140a399476466c</td><td>tvhi</td><td>TVHI</td><td><a href="papers/3cd40bfa1ff193a96bde0207e5140a399476466c.html" target="_blank">High Five: Recognising human interactions in TV shows</a></td><td><a href="https://pdfs.semanticscholar.org/3cd4/0bfa1ff193a96bde0207e5140a399476466c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>98</td><td>49</td><td>49</td><td>10</td><td>66</td><td>28</td></tr><tr><td>5194cbd51f9769ab25260446b4fa17204752e799</td><td>violent_flows</td><td>Violent Flows</td><td><a href="papers/5194cbd51f9769ab25260446b4fa17204752e799.html" target="_blank">Violent flows: Real-time detection of violent crowd behavior</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops</td><td>edu</td><td>Open University of Israel</td><td>Israel</td><td>32.77824165</td><td>34.99565673</td><td>55%</td><td>88</td><td>48</td><td>40</td><td>6</td><td>45</td><td>44</td></tr><tr><td>2160788824c4c29ffe213b2cbeb3f52972d73f37</td><td>3d_rma</td><td>3D-RMA</td><td><a href="papers/2160788824c4c29ffe213b2cbeb3f52972d73f37.html" target="_blank">Automatic 3D face authentication</a></td><td><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.31.9190&rep=rep1&type=pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>100</td><td>47</td><td>53</td><td>8</td><td>63</td><td>36</td></tr><tr><td>7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22</td><td>lfw</td><td>LFW</td><td><a href="papers/7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22.html" target="_blank">Labeled Faces in the Wild: A Survey</a></td><td><a href="https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>109</td><td>47</td><td>62</td><td>9</td><td>66</td><td>43</td></tr><tr><td>2ce2560cf59db59ce313bbeb004e8ce55c5ce928</td><td>texas_3dfrd</td><td>Texas 3DFRD</td><td><a href="papers/2ce2560cf59db59ce313bbeb004e8ce55c5ce928.html" target="_blank">Anthropometric 3D Face Recognition</a></td><td><a href="http://live.ece.utexas.edu/publications/2010/sg_ijcv_june10.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>91</td><td>47</td><td>44</td><td>5</td><td>60</td><td>31</td></tr><tr><td>0b440695c822a8e35184fb2f60dcdaa8a6de84ae</td><td>kinectface</td><td>KinectFaceDB</td><td><a href="papers/0b440695c822a8e35184fb2f60dcdaa8a6de84ae.html" target="_blank">KinectFaceDB: A Kinect Database for Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Systems, Man, and Cybernetics: Systems</td><td>edu</td><td>University of North Carolina at Chapel Hill</td><td>United States</td><td>35.91139710</td><td>-79.05045290</td><td>56%</td><td>82</td><td>46</td><td>36</td><td>6</td><td>28</td><td>52</td></tr><tr><td>0dc11a37cadda92886c56a6fb5191ded62099c28</td><td>stickmen_family</td><td>We Are Family Stickmen</td><td><a href="papers/0dc11a37cadda92886c56a6fb5191ded62099c28.html" target="_blank">We Are Family: Joint Pose Estimation of Multiple Persons</a></td><td><a href="http://eprints.pascal-network.org/archive/00007964/01/eichner10eccv.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>78</td><td>45</td><td>33</td><td>6</td><td>54</td><td>23</td></tr><tr><td>ae0aee03d946efffdc7af2362a42d3750e7dd48a</td><td>put_face</td><td>Put Face</td><td><a href="papers/ae0aee03d946efffdc7af2362a42d3750e7dd48a.html" target="_blank">The put face database</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>99</td><td>43</td><td>56</td><td>7</td><td>54</td><td>48</td></tr><tr><td>2edb87494278ad11641b6cf7a3f8996de12b8e14</td><td>qmul_grid</td><td>GRID</td><td><a href="papers/2edb87494278ad11641b6cf7a3f8996de12b8e14.html" target="_blank">Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding</a></td><td><a href="http://www.eecs.qmul.ac.uk/~ccloy/files/ijcv_2010.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td>edu</td><td>Queen Mary University of London</td><td>United Kingdom</td><td>51.52472720</td><td>-0.03931035</td><td>51%</td><td>84</td><td>43</td><td>41</td><td>6</td><td>51</td><td>33</td></tr><tr><td>2bf8541199728262f78d4dced6fb91479b39b738</td><td>clothing_co_parsing</td><td>CCP</td><td><a href="papers/2bf8541199728262f78d4dced6fb91479b39b738.html" target="_blank">Clothing Co-parsing by Joint Image Segmentation and Labeling</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>70%</td><td>60</td><td>42</td><td>18</td><td>0</td><td>34</td><td>28</td></tr><tr><td>7f23a4bb0c777dd72cca7665a5f370ac7980217e</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/7f23a4bb0c777dd72cca7665a5f370ac7980217e.html" target="_blank">Improving Person Re-identification by Attribute and Identity Learning</a></td><td><a href="https://arxiv.org/pdf/1703.07220.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>48%</td><td>87</td><td>42</td><td>45</td><td>0</td><td>43</td><td>42</td></tr><tr><td>70c59dc3470ae867016f6ab0e008ac8ba03774a1</td><td>vgg_faces2</td><td>VGG Face2</td><td><a href="papers/70c59dc3470ae867016f6ab0e008ac8ba03774a1.html" target="_blank">VGGFace2: A Dataset for Recognising Faces across Pose and Age</a></td><td><a href="https://arxiv.org/pdf/1710.08092.pdf" target="_blank">[pdf]</a></td><td>2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>83</td><td>41</td><td>42</td><td>6</td><td>61</td><td>20</td></tr><tr><td>636b8ffc09b1b23ff714ac8350bb35635e49fa3c</td><td>caltech_10k_web_faces</td><td>Caltech 10K Web Faces</td><td><a href="papers/636b8ffc09b1b23ff714ac8350bb35635e49fa3c.html" target="_blank">Pruning training sets for learning of object categories</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)</td><td></td><td></td><td></td><td></td><td></td><td>63%</td><td>63</td><td>40</td><td>23</td><td>5</td><td>42</td><td>20</td></tr><tr><td>c900e0ad4c95948baaf0acd8449fde26f9b4952a</td><td>emotio_net</td><td>EmotioNet Database</td><td><a href="papers/c900e0ad4c95948baaf0acd8449fde26f9b4952a.html" target="_blank">EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>86</td><td>40</td><td>46</td><td>7</td><td>54</td><td>29</td></tr><tr><td>4793f11fbca4a7dba898b9fff68f70d868e2497c</td><td>kin_face</td><td>UB KinFace</td><td><a href="papers/4793f11fbca4a7dba898b9fff68f70d868e2497c.html" target="_blank">Kinship Verification through Transfer Learning</a></td><td><a href="https://pdfs.semanticscholar.org/4793/f11fbca4a7dba898b9fff68f70d868e2497c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>71</td><td>40</td><td>31</td><td>2</td><td>29</td><td>42</td></tr><tr><td>47aeb3b82f54b5ae8142b4bdda7b614433e69b9a</td><td>am_fed</td><td>AM-FED</td><td><a href="papers/47aeb3b82f54b5ae8142b4bdda7b614433e69b9a.html" target="_blank">Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>83</td><td>37</td><td>46</td><td>6</td><td>43</td><td>39</td></tr><tr><td>0a85bdff552615643dd74646ac881862a7c7072d</td><td>pipa</td><td>PIPA</td><td><a href="papers/0a85bdff552615643dd74646ac881862a7c7072d.html" target="_blank">Beyond frontal faces: Improving Person Recognition using multiple cues</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td>company</td><td>Facebook</td><td>United States</td><td>37.39367170</td><td>-122.08072620</td><td>69%</td><td>54</td><td>37</td><td>16</td><td>1</td><td>41</td><td>12</td></tr><tr><td>6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c</td><td>afad</td><td>AFAD</td><td><a href="papers/6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c.html" target="_blank">Ordinal Regression with Multiple Output CNN for Age Estimation</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>78</td><td>35</td><td>43</td><td>8</td><td>44</td><td>31</td></tr><tr><td>0b84f07af44f964817675ad961def8a51406dd2e</td><td>prw</td><td>PRW</td><td><a href="papers/0b84f07af44f964817675ad961def8a51406dd2e.html" target="_blank">Person Re-identification in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>77</td><td>35</td><td>42</td><td>2</td><td>47</td><td>27</td></tr><tr><td>31de9b3dd6106ce6eec9a35991b2b9083395fd0b</td><td>feret</td><td>FERET</td><td><a href="papers/31de9b3dd6106ce6eec9a35991b2b9083395fd0b.html" target="_blank">FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results</a></td><td><a href="https://pdfs.semanticscholar.org/31de/9b3dd6106ce6eec9a35991b2b9083395fd0b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>75</td><td>34</td><td>41</td><td>5</td><td>54</td><td>20</td></tr><tr><td>fcc6fe6007c322641796cb8792718641856a22a7</td><td>miw</td><td>MIW</td><td><a href="papers/fcc6fe6007c322641796cb8792718641856a22a7.html" target="_blank">Automatic facial makeup detection with application in face recognition</a></td><td><span class="gray">[pdf]</a></td><td>2013 International Conference on Biometrics (ICB)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>69%</td><td>49</td><td>34</td><td>15</td><td>1</td><td>19</td><td>29</td></tr><tr><td>f1af714b92372c8e606485a3982eab2f16772ad8</td><td>mug_faces</td><td>MUG Faces</td><td><a href="papers/f1af714b92372c8e606485a3982eab2f16772ad8.html" target="_blank">The MUG facial expression database</a></td><td><span class="gray">[pdf]</a></td><td>11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10</td><td>edu</td><td>Aristotle University of Thessaloniki</td><td>Greece</td><td>40.62984145</td><td>22.95889350</td><td>41%</td><td>82</td><td>34</td><td>48</td><td>5</td><td>34</td><td>47</td></tr><tr><td>fcc6fe6007c322641796cb8792718641856a22a7</td><td>youtube_makeup</td><td>YMU</td><td><a href="papers/fcc6fe6007c322641796cb8792718641856a22a7.html" target="_blank">Automatic facial makeup detection with application in face recognition</a></td><td><span class="gray">[pdf]</a></td><td>2013 International Conference on Biometrics (ICB)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>69%</td><td>49</td><td>34</td><td>15</td><td>1</td><td>19</td><td>29</td></tr><tr><td>51eba481dac6b229a7490f650dff7b17ce05df73</td><td>imsitu</td><td>imSitu</td><td><a href="papers/51eba481dac6b229a7490f650dff7b17ce05df73.html" target="_blank">Situation Recognition: Visual Semantic Role Labeling for Image Understanding</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>62%</td><td>52</td><td>32</td><td>20</td><td>1</td><td>46</td><td>6</td></tr><tr><td>8be57cdad86fdf8c8290df4ca3149592f3c46dd3</td><td>m2vts</td><td>m2vts</td><td><a href="papers/8be57cdad86fdf8c8290df4ca3149592f3c46dd3.html" target="_blank">The M2VTS Multimodal Face Database (Release 1.00)</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>73</td><td>32</td><td>41</td><td>2</td><td>39</td><td>33</td></tr><tr><td>37d6f0eb074d207b53885bd2eb78ccc8a04be597</td><td>vmu</td><td>VMU</td><td><a href="papers/37d6f0eb074d207b53885bd2eb78ccc8a04be597.html" target="_blank">Can facial cosmetics affect the matching accuracy of face recognition systems?</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>60%</td><td>53</td><td>32</td><td>21</td><td>0</td><td>19</td><td>31</td></tr><tr><td>37d6f0eb074d207b53885bd2eb78ccc8a04be597</td><td>youtube_makeup</td><td>YMU</td><td><a href="papers/37d6f0eb074d207b53885bd2eb78ccc8a04be597.html" target="_blank">Can facial cosmetics affect the matching accuracy of face recognition systems?</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>60%</td><td>53</td><td>32</td><td>21</td><td>0</td><td>19</td><td>31</td></tr><tr><td>faf40ce28857aedf183e193486f5b4b0a8c478a2</td><td>iit_dehli_ear</td><td>IIT Dehli Ear</td><td><a href="papers/faf40ce28857aedf183e193486f5b4b0a8c478a2.html" target="_blank">Automated Human Identification Using Ear Imaging</a></td><td><a href="https://pdfs.semanticscholar.org/faf4/0ce28857aedf183e193486f5b4b0a8c478a2.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>38%</td><td>80</td><td>30</td><td>50</td><td>6</td><td>35</td><td>44</td></tr><tr><td>f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44</td><td>pa_100k</td><td>PA-100K</td><td><a href="papers/f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44.html" target="_blank">HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>55</td><td>30</td><td>25</td><td>0</td><td>36</td><td>17</td></tr><tr><td>18858cc936947fc96b5c06bbe3c6c2faa5614540</td><td>pilot_parliament</td><td>PPB</td><td><a href="papers/18858cc936947fc96b5c06bbe3c6c2faa5614540.html" target="_blank">Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification</a></td><td><a href="http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>59</td><td>29</td><td>30</td><td>0</td><td>47</td><td>10</td></tr><tr><td>4d58f886f5150b2d5e48fd1b5a49e09799bf895d</td><td>texas_3dfrd</td><td>Texas 3DFRD</td><td><a href="papers/4d58f886f5150b2d5e48fd1b5a49e09799bf895d.html" target="_blank">Texas 3D Face Recognition Database</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>66</td><td>29</td><td>37</td><td>3</td><td>40</td><td>27</td></tr><tr><td>16e8b0a1e8451d5f697b94c0c2b32a00abee1d52</td><td>umb</td><td>UMB</td><td><a href="papers/16e8b0a1e8451d5f697b94c0c2b32a00abee1d52.html" target="_blank">UMB-DB: A database of partially occluded 3D faces</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td></td><td></td><td></td><td></td><td></td><td>62%</td><td>47</td><td>29</td><td>18</td><td>2</td><td>22</td><td>24</td></tr><tr><td>356b431d4f7a2a0a38cf971c84568207dcdbf189</td><td>wider</td><td>WIDER</td><td><a href="papers/356b431d4f7a2a0a38cf971c84568207dcdbf189.html" target="_blank">Recognize complex events from static images by fusing deep channels</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>66%</td><td>44</td><td>29</td><td>15</td><td>1</td><td>29</td><td>15</td></tr><tr><td>3dc3f0b64ef80f573e3a5f96e456e52ee980b877</td><td>georgia_tech_face_database</td><td>Georgia Tech Face</td><td><a href="papers/3dc3f0b64ef80f573e3a5f96e456e52ee980b877.html" target="_blank">Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition</a></td><td><a href="http://www.researchgate.net/profile/Monson_Hayes/publication/221124512_Maximum_Likelihood_Training_of_the_Embedded_HMM_for_Face_Detection_and_Recognition/links/0deec53509be9d6f55000000.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>42%</td><td>67</td><td>28</td><td>39</td><td>4</td><td>29</td><td>28</td></tr><tr><td>79828e6e9f137a583082b8b5a9dfce0c301989b8</td><td>mapillary</td><td>Mapillary</td><td><a href="papers/79828e6e9f137a583082b8b5a9dfce0c301989b8.html" target="_blank">The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>61</td><td>28</td><td>33</td><td>0</td><td>43</td><td>16</td></tr><tr><td>8b2dd5c61b23ead5ae5508bb8ce808b5ea266730</td><td>10k_US_adult_faces</td><td>10K US Adult Faces</td><td><a href="papers/8b2dd5c61b23ead5ae5508bb8ce808b5ea266730.html" target="_blank">The intrinsic memorability of face photographs.</a></td><td><a href="https://pdfs.semanticscholar.org/8b2d/d5c61b23ead5ae5508bb8ce808b5ea266730.pdf" target="_blank">[pdf]</a></td><td>Journal of experimental psychology. General</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>52</td><td>27</td><td>25</td><td>2</td><td>36</td><td>14</td></tr><tr><td>9c23859ec7313f2e756a3e85575735e0c52249f4</td><td>facebook_100</td><td>Facebook100</td><td><a href="papers/9c23859ec7313f2e756a3e85575735e0c52249f4.html" target="_blank">Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td>edu</td><td>Harvard University</td><td>United States</td><td>42.36782045</td><td>-71.12666653</td><td>52%</td><td>52</td><td>27</td><td>25</td><td>3</td><td>38</td><td>13</td></tr><tr><td>9c23859ec7313f2e756a3e85575735e0c52249f4</td><td>pubfig_83</td><td>pubfig83</td><td><a href="papers/9c23859ec7313f2e756a3e85575735e0c52249f4.html" target="_blank">Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td>edu</td><td>Harvard University</td><td>United States</td><td>42.36782045</td><td>-71.12666653</td><td>52%</td><td>52</td><td>27</td><td>25</td><td>3</td><td>38</td><td>13</td></tr><tr><td>09d78009687bec46e70efcf39d4612822e61cb8c</td><td>raid</td><td>RAiD</td><td><a href="papers/09d78009687bec46e70efcf39d4612822e61cb8c.html" target="_blank">Consistent Re-identification in a Camera Network</a></td><td><a href="https://pdfs.semanticscholar.org/c27f/099e6e7e3f7f9979cbe9e0a5175fc5848ea0.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>49</td><td>27</td><td>22</td><td>5</td><td>34</td><td>13</td></tr><tr><td>22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b</td><td>saivt</td><td>SAIVT SoftBio</td><td><a href="papers/22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b.html" target="_blank">A Database for Person Re-Identification in Multi-Camera Surveillance Networks</a></td><td><span class="gray">[pdf]</a></td><td>2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)</td><td></td><td></td><td></td><td></td><td></td><td>40%</td><td>65</td><td>26</td><td>39</td><td>7</td><td>45</td><td>20</td></tr><tr><td>070de852bc6eb275d7ca3a9cdde8f6be8795d1a3</td><td>d3dfacs</td><td>D3DFACS</td><td><a href="papers/070de852bc6eb275d7ca3a9cdde8f6be8795d1a3.html" target="_blank">A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling</a></td><td><span class="gray">[pdf]</a></td><td>2011 International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>50</td><td>25</td><td>25</td><td>5</td><td>31</td><td>18</td></tr><tr><td>298cbc3dfbbb3a20af4eed97906650a4ea1c29e0</td><td>ferplus</td><td>FER+</td><td><a href="papers/298cbc3dfbbb3a20af4eed97906650a4ea1c29e0.html" target="_blank">Training deep networks for facial expression recognition with crowd-sourced label distribution</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>71%</td><td>34</td><td>24</td><td>10</td><td>0</td><td>18</td><td>16</td></tr><tr><td>2161f6b7ee3c0acc81603b01dc0df689683577b9</td><td>large_scale_person_search</td><td>Large Scale Person Search</td><td><a href="papers/2161f6b7ee3c0acc81603b01dc0df689683577b9.html" target="_blank">End-to-End Deep Learning for Person Search</a></td><td><a href="https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>46</td><td>24</td><td>22</td><td>1</td><td>27</td><td>16</td></tr><tr><td>6f3c76b7c0bd8e1d122c6ea808a271fd4749c951</td><td>ward</td><td>WARD</td><td><a href="papers/6f3c76b7c0bd8e1d122c6ea808a271fd4749c951.html" target="_blank">Re-identify people in wide area camera network</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops</td><td>edu</td><td>University of Udine</td><td>Italy</td><td>46.08107230</td><td>13.21194740</td><td>38%</td><td>60</td><td>23</td><td>37</td><td>1</td><td>38</td><td>21</td></tr><tr><td>758d7e1be64cc668c59ef33ba8882c8597406e53</td><td>affectnet</td><td>AffectNet</td><td><a href="papers/758d7e1be64cc668c59ef33ba8882c8597406e53.html" target="_blank">AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild</a></td><td><a href="https://arxiv.org/pdf/1708.03985.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>37</td><td>22</td><td>15</td><td>0</td><td>25</td><td>11</td></tr><tr><td>1bd1645a629f1b612960ab9bba276afd4cf7c666</td><td>brainwash</td><td>Brainwash</td><td><a href="papers/1bd1645a629f1b612960ab9bba276afd4cf7c666.html" target="_blank">End-to-End People Detection in Crowded Scenes</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>42</td><td>21</td><td>21</td><td>1</td><td>19</td><td>19</td></tr><tr><td>47662d1a368daf70ba70ef2d59eb6209f98b675d</td><td>fia</td><td>CMU FiA</td><td><a href="papers/47662d1a368daf70ba70ef2d59eb6209f98b675d.html" target="_blank">The CMU Face In Action (FIA) Database</a></td><td><a href="https://pdfs.semanticscholar.org/4766/2d1a368daf70ba70ef2d59eb6209f98b675d.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>39%</td><td>54</td><td>21</td><td>33</td><td>5</td><td>40</td><td>16</td></tr><tr><td>fd8168f1c50de85bac58a8d328df0a50248b16ae</td><td>nd_2006</td><td>ND-2006</td><td><a href="papers/fd8168f1c50de85bac58a8d328df0a50248b16ae.html" target="_blank">Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems</td><td>edu</td><td>University of Notre Dame</td><td>United States</td><td>41.70456775</td><td>-86.23822026</td><td>60%</td><td>35</td><td>21</td><td>14</td><td>3</td><td>18</td><td>15</td></tr><tr><td>31b05f65405534a696a847dd19c621b7b8588263</td><td>umd_faces</td><td>UMD</td><td><a href="papers/31b05f65405534a696a847dd19c621b7b8588263.html" target="_blank">UMDFaces: An annotated face dataset for training deep networks</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Joint Conference on Biometrics (IJCB)</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>42</td><td>21</td><td>21</td><td>5</td><td>30</td><td>11</td></tr><tr><td>53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4</td><td>bp4d_plus</td><td>BP4D+</td><td><a href="papers/53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4.html" target="_blank">Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>48%</td><td>42</td><td>20</td><td>22</td><td>0</td><td>17</td><td>26</td></tr><tr><td>1c2802c2199b6d15ecefe7ba0c39bfe44363de38</td><td>youtube_poses</td><td>YouTube Pose</td><td><a href="papers/1c2802c2199b6d15ecefe7ba0c39bfe44363de38.html" target="_blank">Personalizing Human Video Pose Estimation</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>36</td><td>20</td><td>16</td><td>2</td><td>30</td><td>8</td></tr><tr><td>488e475eeb3bb39a145f23ede197cd3620f1d98a</td><td>apis</td><td>APiS1.0</td><td><a href="papers/488e475eeb3bb39a145f23ede197cd3620f1d98a.html" target="_blank">Pedestrian Attribute Classification in Surveillance: Database and Evaluation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision Workshops</td><td></td><td></td><td></td><td></td><td></td><td>68%</td><td>28</td><td>19</td><td>9</td><td>0</td><td>13</td><td>15</td></tr><tr><td>d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae</td><td>b3d_ac</td><td>B3D(AC)</td><td><a href="papers/d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae.html" target="_blank">A 3-D Audio-Visual Corpus of Affective Communication</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Multimedia</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>42</td><td>19</td><td>23</td><td>2</td><td>26</td><td>15</td></tr><tr><td>57fe081950f21ca03b5b375ae3e84b399c015861</td><td>cvc_01_barcelona</td><td>CVC-01</td><td><a href="papers/57fe081950f21ca03b5b375ae3e84b399c015861.html" target="_blank">Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>40%</td><td>47</td><td>19</td><td>28</td><td>1</td><td>23</td><td>24</td></tr><tr><td>28d4e027c7e90b51b7d8908fce68128d1964668a</td><td>megaface</td><td>MegaFace</td><td><a href="papers/28d4e027c7e90b51b7d8908fce68128d1964668a.html" target="_blank">Level Playing Field for Million Scale Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>39</td><td>19</td><td>20</td><td>2</td><td>29</td><td>9</td></tr><tr><td>41976ebc8ab76d9a6861487c97cc7fcbe3b6015f</td><td>moments_in_time</td><td>Moments in Time</td><td><a href="papers/41976ebc8ab76d9a6861487c97cc7fcbe3b6015f.html" target="_blank">Moments in Time Dataset: one million videos for event understanding</a></td><td><a href="https://arxiv.org/pdf/1801.03150.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>66%</td><td>29</td><td>19</td><td>10</td><td>2</td><td>27</td><td>2</td></tr><tr><td>488e475eeb3bb39a145f23ede197cd3620f1d98a</td><td>svs</td><td>SVS</td><td><a href="papers/488e475eeb3bb39a145f23ede197cd3620f1d98a.html" target="_blank">Pedestrian Attribute Classification in Surveillance: Database and Evaluation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision Workshops</td><td></td><td></td><td></td><td></td><td></td><td>68%</td><td>28</td><td>19</td><td>9</td><td>0</td><td>13</td><td>15</td></tr><tr><td>0ceda9dae8b9f322df65ca2ef02caca9758aec6f</td><td>casablanca</td><td>Casablanca</td><td><a href="papers/0ceda9dae8b9f322df65ca2ef02caca9758aec6f.html" target="_blank">Context-Aware CNNs for Person Head Detection</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>33</td><td>18</td><td>15</td><td>1</td><td>23</td><td>11</td></tr><tr><td>4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7</td><td>deep_fashion</td><td>DeepFashion</td><td><a href="papers/4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7.html" target="_blank">Fashion Landmark Detection in the Wild</a></td><td><a href="https://arxiv.org/pdf/1608.03049.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>69%</td><td>26</td><td>18</td><td>8</td><td>1</td><td>16</td><td>10</td></tr><tr><td>0ceda9dae8b9f322df65ca2ef02caca9758aec6f</td><td>hollywood_headset</td><td>HollywoodHeads</td><td><a href="papers/0ceda9dae8b9f322df65ca2ef02caca9758aec6f.html" target="_blank">Context-Aware CNNs for Person Head Detection</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>33</td><td>18</td><td>15</td><td>1</td><td>23</td><td>11</td></tr><tr><td>84fe5b4ac805af63206012d29523a1e033bc827e</td><td>awe_ears</td><td>AWE Ears</td><td><a href="papers/84fe5b4ac805af63206012d29523a1e033bc827e.html" target="_blank">Ear Recognition: More Than a Survey</a></td><td><a href="https://arxiv.org/pdf/1611.06203.pdf" target="_blank">[pdf]</a></td><td>Neurocomputing</td><td></td><td></td><td></td><td></td><td></td><td>65%</td><td>26</td><td>17</td><td>9</td><td>0</td><td>10</td><td>16</td></tr><tr><td>213a579af9e4f57f071b884aa872651372b661fd</td><td>bbc_pose</td><td>BBC Pose</td><td><a href="papers/213a579af9e4f57f071b884aa872651372b661fd.html" target="_blank">Automatic and Efficient Human Pose Estimation for Sign Language Videos</a></td><td><a href="http://tomas.pfister.fi/files/charles13ijcv.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>65%</td><td>26</td><td>17</td><td>9</td><td>1</td><td>16</td><td>11</td></tr><tr><td>20388099cc415c772926e47bcbbe554e133343d1</td><td>cafe</td><td>#N/A</td><td><a href="papers/20388099cc415c772926e47bcbbe554e133343d1.html" target="_blank">The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults</a></td><td><a href="https://pdfs.semanticscholar.org/2038/8099cc415c772926e47bcbbe554e133343d1.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>37</td><td>17</td><td>20</td><td>3</td><td>30</td><td>7</td></tr><tr><td>d178cde92ab3dc0dd2ebee5a76a33d556c39448b</td><td>jiku_mobile</td><td>Jiku Mobile Video Dataset</td><td><a href="papers/d178cde92ab3dc0dd2ebee5a76a33d556c39448b.html" target="_blank">The jiku mobile video dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>National University of Singapore</td><td>Singapore</td><td>1.29620180</td><td>103.77689944</td><td>71%</td><td>24</td><td>17</td><td>7</td><td>0</td><td>6</td><td>19</td></tr><tr><td>2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d</td><td>kin_face</td><td>UB KinFace</td><td><a href="papers/2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d.html" target="_blank">Genealogical face recognition based on UB KinFace database</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td>edu</td><td>SUNY Buffalo</td><td>United States</td><td>42.93362780</td><td>-78.88394479</td><td>55%</td><td>31</td><td>17</td><td>14</td><td>0</td><td>11</td><td>21</td></tr><tr><td>a0cc5f73a37723a6dd465924143f1cb4976d0169</td><td>msmt_17</td><td>MSMT17</td><td><a href="papers/a0cc5f73a37723a6dd465924143f1cb4976d0169.html" target="_blank">Person Transfer GAN to Bridge Domain Gap for Person Re-identification</a></td><td><span class="gray">[pdf]</a></td><td>2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>71%</td><td>24</td><td>17</td><td>7</td><td>1</td><td>20</td><td>4</td></tr><tr><td>4946ba10a4d5a7d0a38372f23e6622bd347ae273</td><td>coco_action</td><td>COCO-a</td><td><a href="papers/4946ba10a4d5a7d0a38372f23e6622bd347ae273.html" target="_blank">Describing Common Human Visual Actions in Images</a></td><td><a href="https://arxiv.org/pdf/1506.02203.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>64%</td><td>25</td><td>16</td><td>9</td><td>0</td><td>23</td><td>2</td></tr><tr><td>b6c293f0420f7e945b5916ae44269fb53e139275</td><td>erce</td><td>ERCe</td><td><a href="papers/b6c293f0420f7e945b5916ae44269fb53e139275.html" target="_blank">Video Synopsis by Heterogeneous Multi-source Correlation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>29</td><td>16</td><td>13</td><td>2</td><td>14</td><td>13</td></tr><tr><td>e27ef52c641c2b5100a1b34fd0b819e84a31b4df</td><td>sarc3d</td><td>Sarc3D</td><td><a href="papers/e27ef52c641c2b5100a1b34fd0b819e84a31b4df.html" target="_blank">SARC3D: A New 3D Body Model for People Tracking and Re-identification</a></td><td><a href="https://pdfs.semanticscholar.org/e27e/f52c641c2b5100a1b34fd0b819e84a31b4df.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>34</td><td>16</td><td>18</td><td>3</td><td>21</td><td>12</td></tr><tr><td>b6c293f0420f7e945b5916ae44269fb53e139275</td><td>tisi</td><td>Times Square Intersection</td><td><a href="papers/b6c293f0420f7e945b5916ae44269fb53e139275.html" target="_blank">Video Synopsis by Heterogeneous Multi-source Correlation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>29</td><td>16</td><td>13</td><td>2</td><td>14</td><td>13</td></tr><tr><td>1e3df3ca8feab0b36fd293fe689f93bb2aaac591</td><td>immediacy</td><td>Immediacy</td><td><a href="papers/1e3df3ca8feab0b36fd293fe689f93bb2aaac591.html" target="_blank">Multi-task Recurrent Neural Network for Immediacy Prediction</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>26</td><td>15</td><td>11</td><td>2</td><td>21</td><td>6</td></tr><tr><td>ea050801199f98a1c7c1df6769f23f658299a3ae</td><td>mpi_large</td><td>Large MPI Facial Expression</td><td><a href="papers/ea050801199f98a1c7c1df6769f23f658299a3ae.html" target="_blank">The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions</a></td><td><a href="https://pdfs.semanticscholar.org/ea05/0801199f98a1c7c1df6769f23f658299a3ae.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>33</td><td>15</td><td>18</td><td>4</td><td>29</td><td>4</td></tr><tr><td>ea050801199f98a1c7c1df6769f23f658299a3ae</td><td>mpi_small</td><td>Small MPI Facial Expression</td><td><a href="papers/ea050801199f98a1c7c1df6769f23f658299a3ae.html" target="_blank">The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions</a></td><td><a href="https://pdfs.semanticscholar.org/ea05/0801199f98a1c7c1df6769f23f658299a3ae.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>33</td><td>15</td><td>18</td><td>4</td><td>29</td><td>4</td></tr><tr><td>d818568838433a6d6831adde49a58cef05e0c89f</td><td>agedb</td><td>AgeDB</td><td><a href="papers/d818568838433a6d6831adde49a58cef05e0c89f.html" target="_blank">AgeDB: The First Manually Collected, In-the-Wild Age Database</a></td><td><a href="http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf" target="_blank">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>78%</td><td>18</td><td>14</td><td>4</td><td>0</td><td>14</td><td>3</td></tr><tr><td>0297448f3ed948e136bb06ceff10eccb34e5bb77</td><td>ilids_mcts</td><td>i-LIDS Multiple-Camera</td><td><a href="papers/0297448f3ed948e136bb06ceff10eccb34e5bb77.html" target="_blank">Imagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems</a></td><td><span class="gray">[pdf]</a></td><td>Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology</td><td></td><td></td><td></td><td></td><td></td><td>40%</td><td>35</td><td>14</td><td>21</td><td>2</td><td>21</td><td>14</td></tr><tr><td>5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725</td><td>50_people_one_question</td><td>50 People One Question</td><td><a href="papers/5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725.html" target="_blank">Merging Pose Estimates Across Space and Time</a></td><td><a href="http://authors.library.caltech.edu/41565/1/tracking_bmvc.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>81%</td><td>16</td><td>13</td><td>3</td><td>0</td><td>13</td><td>4</td></tr><tr><td>19d1b811df60f86cbd5e04a094b07f32fff7a32a</td><td>york_3d</td><td>UOY 3D Face Database</td><td><a href="papers/19d1b811df60f86cbd5e04a094b07f32fff7a32a.html" target="_blank">Three-dimensional face recognition: an eigensurface approach</a></td><td><span class="gray">[pdf]</a></td><td>2004 International Conference on Image Processing, 2004. ICIP '04.</td><td></td><td></td><td></td><td></td><td></td><td>34%</td><td>38</td><td>13</td><td>25</td><td>4</td><td>24</td><td>13</td></tr><tr><td>0cb2dd5f178e3a297a0c33068961018659d0f443</td><td>ijb_b</td><td>IJB-B</td><td><a href="papers/0cb2dd5f178e3a297a0c33068961018659d0f443.html" target="_blank">IARPA Janus Benchmark-B Face Dataset</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>34%</td><td>35</td><td>12</td><td>23</td><td>6</td><td>25</td><td>8</td></tr><tr><td>221c18238b829c12b911706947ab38fd017acef7</td><td>rap_pedestrian</td><td>RAP</td><td><a href="papers/221c18238b829c12b911706947ab38fd017acef7.html" target="_blank">A Richly Annotated Dataset for Pedestrian Attribute Recognition</a></td><td><a href="https://arxiv.org/pdf/1603.07054.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>26</td><td>12</td><td>14</td><td>0</td><td>16</td><td>10</td></tr><tr><td>774cbb45968607a027ae4729077734db000a1ec5</td><td>urban_tribes</td><td>Urban Tribes</td><td><a href="papers/774cbb45968607a027ae4729077734db000a1ec5.html" target="_blank">From Bikers to Surfers: Visual Recognition of Urban Tribes</a></td><td><a href="http://vision.cornell.edu/se3/wp-content/uploads/2014/09/utribes_bmvc13_final.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>67%</td><td>18</td><td>12</td><td>6</td><td>1</td><td>12</td><td>6</td></tr><tr><td>44d23df380af207f5ac5b41459c722c87283e1eb</td><td>wider_attribute</td><td>WIDER Attribute</td><td><a href="papers/44d23df380af207f5ac5b41459c722c87283e1eb.html" target="_blank">Human Attribute Recognition by Deep Hierarchical Contexts</a></td><td><a href="https://pdfs.semanticscholar.org/8e28/07f2dd53b03a759e372e07f7191cae65c9fd.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>67%</td><td>18</td><td>12</td><td>6</td><td>0</td><td>14</td><td>4</td></tr><tr><td>45e616093a92e5f1e61a7c6037d5f637aa8964af</td><td>malf</td><td>MALF</td><td><a href="papers/45e616093a92e5f1e61a7c6037d5f637aa8964af.html" target="_blank">Fine-grained evaluation on face detection in the wild</a></td><td><span class="gray">[pdf]</a></td><td>2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</td><td></td><td></td><td></td><td></td><td></td><td>65%</td><td>17</td><td>11</td><td>6</td><td>0</td><td>12</td><td>5</td></tr><tr><td>4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06</td><td>distance_nighttime</td><td>Long Distance Heterogeneous Face</td><td><a href="papers/4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06.html" target="_blank">Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching</a></td><td><a href="https://pdfs.semanticscholar.org/4156/b7e88f2e0ab0a7c095b9bab199ae2b23bd06.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>22</td><td>10</td><td>12</td><td>3</td><td>11</td><td>10</td></tr><tr><td>ca3e88d87e1344d076c964ea89d91a75c417f5ee</td><td>imfdb</td><td>IMFDB</td><td><a href="papers/ca3e88d87e1344d076c964ea89d91a75c417f5ee.html" target="_blank">Indian Movie Face Database: A benchmark for face recognition under wide variations</a></td><td><span class="gray">[pdf]</a></td><td>2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)</td><td>edu</td><td>BVBCET, Hubli, India</td><td>India</td><td>15.36883320</td><td>75.12137960</td><td>59%</td><td>17</td><td>10</td><td>7</td><td>0</td><td>11</td><td>5</td></tr><tr><td>2a171f8d14b6b8735001a11c217af9587d095848</td><td>social_relation</td><td>Social Relation</td><td><a href="papers/2a171f8d14b6b8735001a11c217af9587d095848.html" target="_blank">Learning Social Relation Traits from Face Images</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>23</td><td>10</td><td>13</td><td>4</td><td>16</td><td>7</td></tr><tr><td>71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6</td><td>umd_faces</td><td>UMD</td><td><a href="papers/71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6.html" target="_blank">The Do’s and Don’ts for CNN-Based Face Verification</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision Workshops (ICCVW)</td><td></td><td></td><td></td><td></td><td></td><td>38%</td><td>26</td><td>10</td><td>16</td><td>3</td><td>16</td><td>8</td></tr><tr><td>64e0690dd176a93de9d4328f6e31fc4afe1e7536</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/64e0690dd176a93de9d4328f6e31fc4afe1e7536.html" target="_blank">Tracking Multiple People Online and in Real Time</a></td><td><a href="https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>39%</td><td>23</td><td>9</td><td>14</td><td>2</td><td>12</td><td>10</td></tr><tr><td>25474c21613607f6bb7687a281d5f9d4ffa1f9f3</td><td>faceplace</td><td>Face Place</td><td><a href="papers/25474c21613607f6bb7687a281d5f9d4ffa1f9f3.html" target="_blank">Recognizing disguised faces</a></td><td><a href="https://pdfs.semanticscholar.org/d936/7ceb0be378c3a9ddf7cb741c678c1a3c574c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>31%</td><td>29</td><td>9</td><td>20</td><td>0</td><td>18</td><td>10</td></tr><tr><td>a8d0b149c2eadaa02204d3e4356fbc8eccf3b315</td><td>hi4d_adsip</td><td>Hi4D-ADSIP</td><td><a href="papers/a8d0b149c2eadaa02204d3e4356fbc8eccf3b315.html" target="_blank">Hi4D-ADSIP 3-D dynamic facial articulation database</a></td><td><span class="gray">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>15</td><td>9</td><td>6</td><td>1</td><td>4</td><td>11</td></tr><tr><td>2f43b614607163abf41dfe5d17ef6749a1b61304</td><td>hrt_transgender</td><td>HRT Transgender</td><td><a href="papers/2f43b614607163abf41dfe5d17ef6749a1b61304.html" target="_blank">Investigating the Periocular-Based Face Recognition Across Gender Transformation</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Information Forensics and Security</td><td>edu</td><td>University of North Carolina at Wilmington</td><td>United States</td><td>34.22498270</td><td>-77.86907744</td><td>69%</td><td>13</td><td>9</td><td>4</td><td>0</td><td>6</td><td>8</td></tr><tr><td>bd26dabab576adb6af30484183c9c9c8379bf2e0</td><td>scut_fbp</td><td>SCUT-FBP</td><td><a href="papers/bd26dabab576adb6af30484183c9c9c8379bf2e0.html" target="_blank">SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Systems, Man, and Cybernetics</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>19</td><td>9</td><td>10</td><td>2</td><td>6</td><td>13</td></tr><tr><td>2624d84503bc2f8e190e061c5480b6aa4d89277a</td><td>afew_va</td><td>AFEW-VA</td><td><a href="papers/2624d84503bc2f8e190e061c5480b6aa4d89277a.html" target="_blank">AFEW-VA database for valence and arousal estimation in-the-wild</a></td><td><a href="https://ibug.doc.ic.ac.uk/media/uploads/documents/afew-va.pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>18</td><td>8</td><td>10</td><td>0</td><td>12</td><td>5</td></tr><tr><td>4e6ee936eb50dd032f7138702fa39b7c18ee8907</td><td>dartmouth_children</td><td>Dartmouth Children</td><td><a href="papers/4e6ee936eb50dd032f7138702fa39b7c18ee8907.html" target="_blank">The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set</a></td><td><a href="https://pdfs.semanticscholar.org/4e6e/e936eb50dd032f7138702fa39b7c18ee8907.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>38%</td><td>21</td><td>8</td><td>13</td><td>2</td><td>18</td><td>3</td></tr><tr><td>0f0fcf041559703998abf310e56f8a2f90ee6f21</td><td>feret</td><td>FERET</td><td><a href="papers/0f0fcf041559703998abf310e56f8a2f90ee6f21.html" target="_blank">The FERET Evaluation Methodology for Face-Recognition Algorithms</a></td><td><a href="https://pdfs.semanticscholar.org/5099/7a5605c1f61e09e9a96789ed7495be6625aa.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>28%</td><td>29</td><td>8</td><td>21</td><td>3</td><td>18</td><td>9</td></tr><tr><td>c570d1247e337f91e555c3be0e8c8a5aba539d9f</td><td>mcgill</td><td>McGill Real World</td><td><a href="papers/c570d1247e337f91e555c3be0e8c8a5aba539d9f.html" target="_blank">Robust semi-automatic head pose labeling for real-world face video sequences</a></td><td><span class="gray">[pdf]</a></td><td>Multimedia Tools and Applications</td><td>edu</td><td>McGill University</td><td>Canada</td><td>45.50397610</td><td>-73.57496870</td><td>44%</td><td>18</td><td>8</td><td>10</td><td>0</td><td>13</td><td>7</td></tr><tr><td>041d3eedf5e45ce5c5229f0181c5c576ed1fafd6</td><td>ucf_selfie</td><td>UCF Selfie</td><td><a href="papers/041d3eedf5e45ce5c5229f0181c5c576ed1fafd6.html" target="_blank">How to Take a Good Selfie?</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>73%</td><td>11</td><td>8</td><td>3</td><td>0</td><td>7</td><td>5</td></tr><tr><td>a94cae786d515d3450d48267e12ca954aab791c4</td><td>yawdd</td><td>YawDD</td><td><a href="papers/a94cae786d515d3450d48267e12ca954aab791c4.html" target="_blank">YawDD: a yawning detection dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>15</td><td>8</td><td>7</td><td>1</td><td>2</td><td>13</td></tr><tr><td>6403117f9c005ae81f1e8e6d1302f4a045e3d99d</td><td>alert_airport</td><td>ALERT Airport</td><td><a href="papers/6403117f9c005ae81f1e8e6d1302f4a045e3d99d.html" target="_blank">A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>35%</td><td>20</td><td>7</td><td>13</td><td>0</td><td>9</td><td>11</td></tr><tr><td>2b926b3586399d028b46315d7d9fb9d879e4f79c</td><td>frav3d</td><td>FRAV3D</td><td><a href="papers/2b926b3586399d028b46315d7d9fb9d879e4f79c.html" target="_blank">Multimodal 2D, 2.5D & 3D Face Verification</a></td><td><span class="gray">[pdf]</a></td><td>2006 International Conference on Image Processing</td><td>edu</td><td>Universidad Rey Juan Carlos, Spain</td><td>Spain</td><td>40.33586610</td><td>-3.87694320</td><td>50%</td><td>14</td><td>7</td><td>7</td><td>0</td><td>2</td><td>12</td></tr><tr><td>2cd7821fcf5fae53a185624f7eeda007434ae037</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/2cd7821fcf5fae53a185624f7eeda007434ae037.html" target="_blank">Exploring the geo-dependence of human face appearance</a></td><td><a href="http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf" target="_blank">[pdf]</a></td><td>IEEE Winter Conference on Applications of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>88%</td><td>8</td><td>7</td><td>1</td><td>0</td><td>5</td><td>3</td></tr><tr><td>2cd7821fcf5fae53a185624f7eeda007434ae037</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/2cd7821fcf5fae53a185624f7eeda007434ae037.html" target="_blank">Exploring the geo-dependence of human face appearance</a></td><td><a href="http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf" target="_blank">[pdf]</a></td><td>IEEE Winter Conference on Applications of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>88%</td><td>8</td><td>7</td><td>1</td><td>0</td><td>5</td><td>3</td></tr><tr><td>b71d1aa90dcbe3638888725314c0d56640c1fef1</td><td>ifdb</td><td>IFDB</td><td><a href="papers/b71d1aa90dcbe3638888725314c0d56640c1fef1.html" target="_blank">Iranian Face Database with age, pose and expression</a></td><td><span class="gray">[pdf]</a></td><td>2007 International Conference on Machine Vision</td><td>edu</td><td>Islamic Azad University</td><td>Iran</td><td>34.84529990</td><td>48.55962120</td><td>30%</td><td>23</td><td>7</td><td>16</td><td>2</td><td>14</td><td>9</td></tr><tr><td>4563b46d42079242f06567b3f2e2f7a80cb3befe</td><td>vadana</td><td>VADANA</td><td><a href="papers/4563b46d42079242f06567b3f2e2f7a80cb3befe.html" target="_blank">VADANA: A dense dataset for facial image analysis</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td>edu</td><td>University of Delaware</td><td>United States</td><td>39.68103280</td><td>-75.75401840</td><td>47%</td><td>15</td><td>7</td><td>8</td><td>0</td><td>5</td><td>10</td></tr><tr><td>060820f110a72cbf02c14a6d1085bd6e1d994f6a</td><td>caltech_crp</td><td>Caltech CRP</td><td><a href="papers/060820f110a72cbf02c14a6d1085bd6e1d994f6a.html" target="_blank">Fine-grained classification of pedestrians in video: Benchmark and state of the art</a></td><td><a href="https://arxiv.org/pdf/1605.06177.pdf" target="_blank">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>35%</td><td>17</td><td>6</td><td>11</td><td>0</td><td>9</td><td>8</td></tr><tr><td>8d5998cd984e7cce307da7d46f155f9db99c6590</td><td>chalearn</td><td>ChaLearn</td><td><a href="papers/8d5998cd984e7cce307da7d46f155f9db99c6590.html" target="_blank">ChaLearn looking at people: A review of events and resources</a></td><td><span class="gray">[pdf]</a></td><td>2017 International Joint Conference on Neural Networks (IJCNN)</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>13</td><td>6</td><td>7</td><td>1</td><td>8</td><td>4</td></tr><tr><td>22f656d0f8426c84a33a267977f511f127bfd7f3</td><td>expw</td><td>ExpW</td><td><a href="papers/22f656d0f8426c84a33a267977f511f127bfd7f3.html" target="_blank">From Facial Expression Recognition to Interpersonal Relation Prediction</a></td><td><a href="https://arxiv.org/pdf/1609.06426.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>11</td><td>6</td><td>5</td><td>0</td><td>5</td><td>4</td></tr><tr><td>7f4040b482d16354d5938c1d1b926b544652bf5b</td><td>nova_emotions</td><td>Novaemötions Dataset</td><td><a href="papers/7f4040b482d16354d5938c1d1b926b544652bf5b.html" target="_blank">Competitive affective gaming: winning with a smile</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Universidade NOVA de Lisboa, Caparica, Portugal</td><td>Portugal</td><td>38.66096400</td><td>-9.20581300</td><td>67%</td><td>9</td><td>6</td><td>3</td><td>0</td><td>5</td><td>4</td></tr><tr><td>1a40092b493c6b8840257ab7f96051d1a4dbfeb2</td><td>sports_videos_in_the_wild</td><td>SVW</td><td><a href="papers/1a40092b493c6b8840257ab7f96051d1a4dbfeb2.html" target="_blank">Sports Videos in the Wild (SVW): A video dataset for sports analysis</a></td><td><span class="gray">[pdf]</a></td><td>2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</td><td></td><td></td><td></td><td></td><td></td><td>86%</td><td>7</td><td>6</td><td>1</td><td>1</td><td>5</td><td>2</td></tr><tr><td>633c851ebf625ad7abdda2324e9de093cf623141</td><td>appa_real</td><td>APPA-REAL</td><td><a href="papers/633c851ebf625ad7abdda2324e9de093cf623141.html" target="_blank">Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database</a></td><td><span class="gray">[pdf]</a></td><td>2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>10</td><td>5</td><td>5</td><td>0</td><td>8</td><td>3</td></tr><tr><td>4af89578ac237278be310f7660a408b03f12d603</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/4af89578ac237278be310f7660a408b03f12d603.html" target="_blank">Large-scale geo-facial image analysis</a></td><td><a href="https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf" target="_blank">[pdf]</a></td><td>EURASIP J. Image and Video Processing</td><td></td><td></td><td></td><td></td><td></td><td>83%</td><td>6</td><td>5</td><td>1</td><td>0</td><td>4</td><td>2</td></tr><tr><td>57178b36c21fd7f4529ac6748614bb3374714e91</td><td>ijb_c</td><td>IJB-C</td><td><a href="papers/57178b36c21fd7f4529ac6748614bb3374714e91.html" target="_blank">IARPA Janus Benchmark - C: Face Dataset and Protocol</a></td><td><span class="gray">[pdf]</a></td><td>2018 International Conference on Biometrics (ICB)</td><td></td><td></td><td></td><td></td><td></td><td>36%</td><td>14</td><td>5</td><td>9</td><td>2</td><td>12</td><td>1</td></tr><tr><td>07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1</td><td>uccs</td><td>UCCS</td><td><a href="papers/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1.html" target="_blank">Large scale unconstrained open set face database</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td></td><td></td><td></td><td></td><td></td><td>83%</td><td>6</td><td>5</td><td>1</td><td>0</td><td>4</td><td>2</td></tr><tr><td>d4f1eb008eb80595bcfdac368e23ae9754e1e745</td><td>uccs</td><td>UCCS</td><td><a href="papers/d4f1eb008eb80595bcfdac368e23ae9754e1e745.html" target="_blank">Unconstrained Face Detection and Open-Set Face Recognition Challenge</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Joint Conference on Biometrics (IJCB)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>5</td><td>5</td><td>0</td><td>0</td><td>4</td><td>1</td></tr><tr><td>8627f019882b024aef92e4eb9355c499c733e5b7</td><td>used</td><td>USED Social Event Dataset</td><td><a href="papers/8627f019882b024aef92e4eb9355c499c733e5b7.html" target="_blank">USED: a large-scale social event detection dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>University of Trento</td><td>Italy</td><td>46.06588360</td><td>11.11598940</td><td>71%</td><td>7</td><td>5</td><td>2</td><td>0</td><td>3</td><td>4</td></tr><tr><td>56ae6d94fc6097ec4ca861f0daa87941d1c10b70</td><td>cmdp</td><td>CMDP</td><td><a href="papers/56ae6d94fc6097ec4ca861f0daa87941d1c10b70.html" target="_blank">Distance Estimation of an Unknown Person from a Portrait</a></td><td><a href="http://authors.library.caltech.edu/49084/13/FaceDistanceEstimation_RONCHI.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>9</td><td>4</td><td>5</td><td>0</td><td>6</td><td>3</td></tr><tr><td>4b4106614c1d553365bad75d7866bff0de6056ed</td><td>ufi</td><td>UFI</td><td><a href="papers/4b4106614c1d553365bad75d7866bff0de6056ed.html" target="_blank">Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions</a></td><td><a href="http://home.zcu.cz/~pkral/papers/kral_micai15.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>33%</td><td>12</td><td>4</td><td>8</td><td>0</td><td>4</td><td>6</td></tr><tr><td>563c940054e4b456661762c1ab858e6f730c3159</td><td>data_61</td><td>Data61 Pedestrian</td><td><a href="papers/563c940054e4b456661762c1ab858e6f730c3159.html" target="_blank">A Multi-modal Graphical Model for Scene Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Winter Conference on Applications of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>8</td><td>4</td><td>4</td><td>0</td><td>5</td><td>3</td></tr><tr><td>287ddcb3db5562235d83aee318f318b8d5e43fb1</td><td>erce</td><td>ERCe</td><td><a href="papers/287ddcb3db5562235d83aee318f318b8d5e43fb1.html" target="_blank">Learning from Multiple Sources for Video Summarisation</a></td><td><a href="https://arxiv.org/pdf/1501.03069.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>7</td><td>4</td><td>3</td><td>0</td><td>4</td><td>3</td></tr><tr><td>dd65f71dac86e36eecbd3ed225d016c3336b4a13</td><td>families_in_the_wild</td><td>FIW</td><td><a href="papers/dd65f71dac86e36eecbd3ed225d016c3336b4a13.html" target="_blank">Visual Kinship Recognition of Families in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td>edu</td><td>University of Massachusetts Dartmouth</td><td>United States</td><td>41.62772475</td><td>-71.00724501</td><td>80%</td><td>5</td><td>4</td><td>1</td><td>0</td><td>2</td><td>3</td></tr><tr><td>8f02ec0be21461fbcedf51d864f944cfc42c875f</td><td>hda_plus</td><td>HDA+</td><td><a href="papers/8f02ec0be21461fbcedf51d864f944cfc42c875f.html" target="_blank">The HDA+ Data Set for Research on Fully Automated Re-identification Systems</a></td><td><a href="https://pdfs.semanticscholar.org/8f02/ec0be21461fbcedf51d864f944cfc42c875f.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>25%</td><td>16</td><td>4</td><td>12</td><td>2</td><td>10</td><td>6</td></tr><tr><td>137aa2f891d474fce1e7a1d1e9b3aefe21e22b34</td><td>hrt_transgender</td><td>HRT Transgender</td><td><a href="papers/137aa2f891d474fce1e7a1d1e9b3aefe21e22b34.html" target="_blank">Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>7</td><td>4</td><td>3</td><td>1</td><td>3</td><td>5</td></tr><tr><td>2d45cfd838016a6e39f6b766ffe85acd649440c7</td><td>mcgill</td><td>McGill Real World</td><td><a href="papers/2d45cfd838016a6e39f6b766ffe85acd649440c7.html" target="_blank">Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos</a></td><td><span class="gray">[pdf]</a></td><td>Computer Vision and Image Understanding</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>8</td><td>4</td><td>4</td><td>1</td><td>5</td><td>3</td></tr><tr><td>23e824d1dfc33f3780dd18076284f07bd99f1c43</td><td>mifs</td><td>MIFS</td><td><a href="papers/23e824d1dfc33f3780dd18076284f07bd99f1c43.html" target="_blank">Spoofing faces using makeup: An investigative study</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)</td><td>edu</td><td>INRIA Méditerranée</td><td>France</td><td>43.61581310</td><td>7.06838000</td><td>67%</td><td>6</td><td>4</td><td>2</td><td>0</td><td>1</td><td>5</td></tr><tr><td>54983972aafc8e149259d913524581357b0f91c3</td><td>reseed</td><td>ReSEED</td><td><a href="papers/54983972aafc8e149259d913524581357b0f91c3.html" target="_blank">ReSEED: social event dEtection dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>67%</td><td>6</td><td>4</td><td>2</td><td>1</td><td>1</td><td>5</td></tr><tr><td>287ddcb3db5562235d83aee318f318b8d5e43fb1</td><td>tisi</td><td>Times Square Intersection</td><td><a href="papers/287ddcb3db5562235d83aee318f318b8d5e43fb1.html" target="_blank">Learning from Multiple Sources for Video Summarisation</a></td><td><a href="https://arxiv.org/pdf/1501.03069.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>7</td><td>4</td><td>3</td><td>0</td><td>4</td><td>3</td></tr><tr><td>7ebb153704706e457ab57b432793d2b6e5d12592</td><td>vgg_celebs_in_places</td><td>CIP</td><td><a href="papers/7ebb153704706e457ab57b432793d2b6e5d12592.html" target="_blank">Faces in Places: compound query retrieval</a></td><td><a href="https://pdfs.semanticscholar.org/7ebb/153704706e457ab57b432793d2b6e5d12592.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>80%</td><td>5</td><td>4</td><td>1</td><td>0</td><td>3</td><td>2</td></tr><tr><td>0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e</td><td>lag</td><td>LAG</td><td><a href="papers/0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e.html" target="_blank">Large age-gap face verification by feature injection in deep networks</a></td><td><a href="https://arxiv.org/pdf/1602.06149.pdf" target="_blank">[pdf]</a></td><td>Pattern Recognition Letters</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>7</td><td>3</td><td>4</td><td>0</td><td>3</td><td>4</td></tr><tr><td>9cc8cf0c7d7fa7607659921b6ff657e17e135ecc</td><td>mafa</td><td>MAsked FAces</td><td><a href="papers/9cc8cf0c7d7fa7607659921b6ff657e17e135ecc.html" target="_blank">Detecting Masked Faces in the Wild with LLE-CNNs</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>5</td><td>3</td><td>2</td><td>1</td><td>4</td><td>1</td></tr><tr><td>a7fe834a0af614ce6b50dc093132b031dd9a856b</td><td>market_1501</td><td>Market 1501</td><td><a href="papers/a7fe834a0af614ce6b50dc093132b031dd9a856b.html" target="_blank">Orientation Driven Bag of Appearances for Person Re-identification</a></td><td><a href="https://arxiv.org/pdf/1605.02464.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>7</td><td>3</td><td>4</td><td>0</td><td>4</td><td>4</td></tr><tr><td>a7fe834a0af614ce6b50dc093132b031dd9a856b</td><td>pku_reid</td><td>PKU-Reid</td><td><a href="papers/a7fe834a0af614ce6b50dc093132b031dd9a856b.html" target="_blank">Orientation Driven Bag of Appearances for Person Re-identification</a></td><td><a href="https://arxiv.org/pdf/1605.02464.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>7</td><td>3</td><td>4</td><td>0</td><td>4</td><td>4</td></tr><tr><td>9e5378e7b336c89735d3bb15cf67eff96f86d39a</td><td>precarious</td><td>Precarious</td><td><a href="papers/9e5378e7b336c89735d3bb15cf67eff96f86d39a.html" target="_blank">Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>21%</td><td>14</td><td>3</td><td>11</td><td>1</td><td>12</td><td>1</td></tr><tr><td>17b46e2dad927836c689d6787ddb3387c6159ece</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/17b46e2dad927836c689d6787ddb3387c6159ece.html" target="_blank">GeoFaceExplorer: exploring the geo-dependence of facial attributes</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>2</td><td>2</td><td>0</td><td>0</td><td>1</td><td>1</td></tr><tr><td>ad01687649d95cd5b56d7399a9603c4b8e2217d7</td><td>mrp_drone</td><td>MRP Drone</td><td><a href="papers/ad01687649d95cd5b56d7399a9603c4b8e2217d7.html" target="_blank">Investigating Open-World Person Re-identification Using a Drone</a></td><td><a href="https://pdfs.semanticscholar.org/ad01/687649d95cd5b56d7399a9603c4b8e2217d7.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>29%</td><td>7</td><td>2</td><td>5</td><td>1</td><td>5</td><td>2</td></tr><tr><td>f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f</td><td>pku_reid</td><td>PKU-Reid</td><td><a href="papers/f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f.html" target="_blank">Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification</a></td><td><a href="https://pdfs.semanticscholar.org/f6c8/d5e35d7e4d60a0104f233ac1a3ab757da53f.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>4</td><td>2</td><td>2</td><td>0</td><td>1</td><td>2</td></tr><tr><td>4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461</td><td>3dddb_unconstrained</td><td>3D Dynamic</td><td><a href="papers/4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461.html" target="_blank">A 3D Dynamic Database for Unconstrained Face Recognition</a></td><td><a href="https://pdfs.semanticscholar.org/4d4b/b462c9f1d4e4ab1e4aa6a75cc0bc71b38461.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td></tr><tr><td>65355cbb581a219bd7461d48b3afd115263ea760</td><td>complex_activities</td><td>Ongoing Complex Activities</td><td><a href="papers/65355cbb581a219bd7461d48b3afd115263ea760.html" target="_blank">Recognition of ongoing complex activities by sequence prediction over a hierarchical label space</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Winter Conference on Applications of Computer Vision (WACV)</td><td></td><td></td><td></td><td></td><td></td><td>33%</td><td>3</td><td>1</td><td>2</td><td>0</td><td>3</td><td>0</td></tr><tr><td>e58dd160a76349d46f881bd6ddbc2921f08d1050</td><td>gfw</td><td>Grouping Face in the Wild</td><td><a href="papers/e58dd160a76349d46f881bd6ddbc2921f08d1050.html" target="_blank">Merge or Not? Learning to Group Faces via Imitation Learning</a></td><td><a href="https://arxiv.org/pdf/1707.03986.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>2</td><td>0</td></tr><tr><td>55c40cbcf49a0225e72d911d762c27bb1c2d14aa</td><td>ifad</td><td>IFAD</td><td><a href="papers/55c40cbcf49a0225e72d911d762c27bb1c2d14aa.html" target="_blank">Indian Face Age Database: A Database for Face Recognition with Age Variation</a></td><td><a href="https://pdfs.semanticscholar.org/025e/4cf3fd3fdeced91e9373b56ee14af7ca432c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>2</td><td>0</td></tr><tr><td>9e31e77f9543ab42474ba4e9330676e18c242e72</td><td>imdb_face</td><td>IMDb Face</td><td><a href="papers/9e31e77f9543ab42474ba4e9330676e18c242e72.html" target="_blank">The Devil of Face Recognition is in the Noise</a></td><td><a href="https://arxiv.org/pdf/1807.11649.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>company</td><td>SenseTime</td><td>China</td><td>39.99300800</td><td>116.32988200</td><td>17%</td><td>6</td><td>1</td><td>5</td><td>0</td><td>4</td><td>1</td></tr><tr><td>4eab317b5ac436a949849ed286baa3de2a541eef</td><td>laofiw</td><td>LAOFIW</td><td><a href="papers/4eab317b5ac436a949849ed286baa3de2a541eef.html" target="_blank">Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings</a></td><td><a href="https://arxiv.org/pdf/1809.02169.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>2</td><td>0</td></tr><tr><td>c72a2ea819df9b0e8cd267eebcc6528b8741e03d</td><td>megaage</td><td>MegaAge</td><td><a href="papers/c72a2ea819df9b0e8cd267eebcc6528b8741e03d.html" target="_blank">Quantifying Facial Age by Posterior of Age Comparisons</a></td><td><a href="https://arxiv.org/pdf/1708.09687.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>25%</td><td>4</td><td>1</td><td>3</td><td>1</td><td>4</td><td>0</td></tr><tr><td>578d4ad74818086bb64f182f72e2c8bd31e3d426</td><td>mr2</td><td>MR2</td><td><a href="papers/578d4ad74818086bb64f182f72e2c8bd31e3d426.html" target="_blank">The MR2: A multi-racial, mega-resolution database of facial stimuli.</a></td><td><a href="http://www.mpmlab.org/The%20MR2%20face%20database.pdf" target="_blank">[pdf]</a></td><td>Behavior research methods</td><td></td><td></td><td></td><td></td><td></td><td>14%</td><td>7</td><td>1</td><td>6</td><td>0</td><td>7</td><td>0</td></tr><tr><td>c06b13d0ec3f5c43e2782cd22542588e233733c3</td><td>nova_emotions</td><td>Novaemötions Dataset</td><td><a href="papers/c06b13d0ec3f5c43e2782cd22542588e233733c3.html" target="_blank">Crowdsourcing facial expressions for affective-interaction</a></td><td><span class="gray">[pdf]</a></td><td>Computer Vision and Image Understanding</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><td>22909dd19a0ec3b6065334cb5be5392cb24d839d</td><td>pets</td><td>PETS 2017</td><td><a href="papers/22909dd19a0ec3b6065334cb5be5392cb24d839d.html" target="_blank">PETS 2017: Dataset and Challenge</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>11%</td><td>9</td><td>1</td><td>8</td><td>0</td><td>1</td><td>8</td></tr><tr><td>2306b2a8fba28539306052764a77a0d0f5d1236a</td><td>qmul_surv_face</td><td>QMUL-SurvFace</td><td><a href="papers/2306b2a8fba28539306052764a77a0d0f5d1236a.html" target="_blank">Surveillance Face Recognition Challenge</a></td><td><a href="https://arxiv.org/pdf/1804.09691.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td>edu</td><td>Queen Mary University of London</td><td>United Kingdom</td><td>51.52472720</td><td>-0.03931035</td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><td>d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9</td><td>stair_actions</td><td>STAIR Action</td><td><a href="papers/d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9.html" target="_blank">STAIR Actions: A Video Dataset of Everyday Home Actions</a></td><td><a href="https://arxiv.org/pdf/1804.04326.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><td>3531332efe19be21e7401ba1f04570a142617236</td><td>ufdd</td><td>UFDD</td><td><a href="papers/3531332efe19be21e7401ba1f04570a142617236.html" target="_blank">Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results</a></td><td><a href="https://arxiv.org/pdf/1804.10275.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>25%</td><td>4</td><td>1</td><td>3</td><td>1</td><td>4</td><td>0</td></tr><tr><td>922e0a51a3b8c67c4c6ac09a577ff674cbd28b34</td><td>v47</td><td>V47</td><td><a href="papers/922e0a51a3b8c67c4c6ac09a577ff674cbd28b34.html" target="_blank">Re-identification of pedestrians with variable occlusion and scale</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td>edu</td><td>Kingston University</td><td>United Kingdom</td><td>51.42930860</td><td>-0.26840440</td><td>11%</td><td>9</td><td>1</td><td>8</td><td>2</td><td>5</td><td>4</td></tr><tr><td>5ad4e9f947c1653c247d418f05dad758a3f9277b</td><td>wlfdb</td><td>WLFDB</td><td><a href="papers/5ad4e9f947c1653c247d418f05dad758a3f9277b.html" target="_blank">WLFDB : Weakly Labeled Face Databases</a></td><td><a href="https://pdfs.semanticscholar.org/5ad4/e9f947c1653c247d418f05dad758a3f9277b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td></tr><tr><td>a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43</td><td>4dfab</td><td>4DFAB</td><td><a href="papers/a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43.html" target="_blank">4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications</a></td><td><a href="https://arxiv.org/pdf/1712.01443.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>0%</td><td>4</td><td>0</td><td>4</td><td>0</td><td>2</td><td>2</td></tr><tr><td>7b92d1e53cc87f7a4256695de590098a2f30261e</td><td>appa_real</td><td>APPA-REAL</td><td><a href="papers/7b92d1e53cc87f7a4256695de590098a2f30261e.html" target="_blank">From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation</a></td><td><span class="gray">[pdf]</a></td><td>2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>1dc35905a1deff8bc74688f2d7e2f48fd2273275</td><td>caltech_pedestrians</td><td>Caltech Pedestrians</td><td><a href="papers/1dc35905a1deff8bc74688f2d7e2f48fd2273275.html" target="_blank">Pedestrian detection: A benchmark</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>15e1af79939dbf90790b03d8aa02477783fb1d0f</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/15e1af79939dbf90790b03d8aa02477783fb1d0f.html" target="_blank">Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro</a></td><td><a href="https://arxiv.org/pdf/1701.07717.pdf" target="_blank">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>72a155c987816ae81c858fddbd6beab656d86220</td><td>europersons</td><td>EuroCity Persons</td><td><a href="papers/72a155c987816ae81c858fddbd6beab656d86220.html" target="_blank">The EuroCity Persons Dataset: A Novel Benchmark for Object Detection</a></td><td><a href="https://arxiv.org/pdf/1805.07193.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>0%</td><td>2</td><td>0</td><td>2</td><td>0</td><td>2</td><td>0</td></tr><tr><td>670637d0303a863c1548d5b19f705860a23e285c</td><td>face_tracer</td><td>FaceTracer</td><td><a href="papers/670637d0303a863c1548d5b19f705860a23e285c.html" target="_blank">Face swapping: automatically replacing faces in photographs</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>12ad3b5bbbf407f8e54ea692c07633d1a867c566</td><td>graz</td><td>Graz Pedestrian</td><td><a href="papers/12ad3b5bbbf407f8e54ea692c07633d1a867c566.html" target="_blank">Object recognition using segmentation for feature detection</a></td><td><span class="gray">[pdf]</a></td><td>Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.</td><td>edu</td><td>Inst. of Comput. Sci., Univ. of Leoben, Austria</td><td>Austria</td><td>47.38473720</td><td>15.09302010</td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>bd88bb2e4f351352d88ee7375af834360e223498</td><td>hda_plus</td><td>HDA+</td><td><a href="papers/bd88bb2e4f351352d88ee7375af834360e223498.html" target="_blank">HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance</a></td><td><a href="https://pdfs.semanticscholar.org/bd88/bb2e4f351352d88ee7375af834360e223498.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>0%</td><td>2</td><td>0</td><td>2</td><td>0</td><td>1</td><td>2</td></tr><tr><td>0ab7cff2ccda7269b73ff6efd9d37e1318f7db25</td><td>ibm_dif</td><td>IBM Diversity in Faces</td><td><a href="papers/0ab7cff2ccda7269b73ff6efd9d37e1318f7db25.html" target="_blank">Facial Coding Scheme Reference 1 Craniofacial Distances</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>066d71fcd997033dce4ca58df924397dfe0b5fd1</td><td>ifdb</td><td>IFDB</td><td><a href="papers/066d71fcd997033dce4ca58df924397dfe0b5fd1.html" target="_blank">Iranian Face Database and Evaluation with a New Detection Algorithm</a></td><td><a href="https://pdfs.semanticscholar.org/066d/71fcd997033dce4ca58df924397dfe0b5fd1.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>21d9d0deed16f0ad62a4865e9acf0686f4f15492</td><td>images_of_groups</td><td>Images of Groups</td><td><a href="papers/21d9d0deed16f0ad62a4865e9acf0686f4f15492.html" target="_blank">Understanding images of groups of people</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Carnegie Mellon University Silicon Valley</td><td>United States</td><td>37.41021930</td><td>-122.05965487</td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>140438a77a771a8fb656b39a78ff488066eb6b50</td><td>lfpw</td><td>LFWP</td><td><a href="papers/140438a77a771a8fb656b39a78ff488066eb6b50.html" target="_blank">Localizing Parts of Faces Using a Consensus of Exemplars</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>079a0a3bf5200994e1f972b1b9197bf2f90e87d4</td><td>mit_cbcl</td><td>MIT CBCL</td><td><a href="papers/079a0a3bf5200994e1f972b1b9197bf2f90e87d4.html" target="_blank">Component-Based Face Recognition with 3D Morphable Models</a></td><td><span class="gray">[pdf]</a></td><td>2004 Conference on Computer Vision and Pattern Recognition Workshop</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>2fda164863a06a92d3a910b96eef927269aeb730</td><td>names_and_faces</td><td>News Dataset</td><td><a href="papers/2fda164863a06a92d3a910b96eef927269aeb730.html" target="_blank">Names and faces in the news</a></td><td><span class="gray">[pdf]</a></td><td>Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>d3200d49a19a4a4e4e9745ee39649b65d80c834b</td><td>scut_head</td><td>SCUT HEAD</td><td><a href="papers/d3200d49a19a4a4e4e9745ee39649b65d80c834b.html" target="_blank">Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture</a></td><td><a href="https://arxiv.org/pdf/1803.09256.pdf" target="_blank">[pdf]</a></td><td>2018 24th International Conference on Pattern Recognition (ICPR)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>8990cdce3f917dad622e43e033db686b354d057c</td><td>tiny_faces</td><td>TinyFace</td><td><a href="papers/8990cdce3f917dad622e43e033db686b354d057c.html" target="_blank">Low-Resolution Face Recognition</a></td><td><a href="https://arxiv.org/pdf/1811.08965.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>6ad5a38df8dd4cdddd74f31996ce096d41219f72</td><td>tud_brussels</td><td>TUD-Brussels</td><td><a href="papers/6ad5a38df8dd4cdddd74f31996ce096d41219f72.html" target="_blank">Multi-cue onboard pedestrian detection</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>6ad5a38df8dd4cdddd74f31996ce096d41219f72</td><td>tud_motionpairs</td><td>TUD-Motionparis</td><td><a href="papers/6ad5a38df8dd4cdddd74f31996ce096d41219f72.html" target="_blank">Multi-cue onboard pedestrian detection</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>01959ef569f74c286956024866c1d107099199f7</td><td>vqa</td><td>VQA</td><td><a href="papers/01959ef569f74c286956024866c1d107099199f7.html" target="_blank">VQA: Visual Question Answering</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>9b9bf5e623cb8af7407d2d2d857bc3f1b531c182</td><td>who_goes_there</td><td>WGT</td><td><a href="papers/9b9bf5e623cb8af7407d2d2d857bc3f1b531c182.html" target="_blank">Who goes there?: approaches to mapping facial appearance diversity</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>University of Kentucky</td><td>United States</td><td>38.03337420</td><td>-84.50177580</td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>36bccfb2ad847096bc76777e544f305813cd8f5b</td><td>wildtrack</td><td>WildTrack</td><td><a href="papers/36bccfb2ad847096bc76777e544f305813cd8f5b.html" target="_blank">WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection</a></td><td><a href="http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1562-supp.pdf" target="_blank">[pdf]</a></td><td>2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr></table></body></html>
\ No newline at end of file +<!doctype html><html><head><meta charset='utf-8'><title>Coverage</title><link rel='stylesheet' href='reports.css'></head><body><h2>Coverage</h2><table border='1' cellpadding='3' cellspacing='3'><th>Paper ID</th><th>Megapixels Key</th><th>Megapixels Name</th><th>Report Link</th><th>PDF Link</th><th>Journal</th><th>Type</th><th>Address</th><th>Country</th><th>Lat</th><th>Lng</th><th>Coverage</th><th>Total Citations</th><th>Geocoded Citations</th><th>Unknown Citations</th><th>Empty Citations</th><th>With PDF</th><th>With DOI</th><tr><td>b5f2846a506fc417e7da43f6a7679146d99c5e96</td><td>ucf_101</td><td>UCF101</td><td><a href="papers/b5f2846a506fc417e7da43f6a7679146d99c5e96.html" target="_blank">UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild</a></td><td><a href="https://arxiv.org/pdf/1212.0402.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>999</td><td>607</td><td>392</td><td>56</td><td>628</td><td>362</td></tr><tr><td>0e986f51fe45b00633de9fd0c94d082d2be51406</td><td>afw</td><td>AFW</td><td><a href="papers/0e986f51fe45b00633de9fd0c94d082d2be51406.html" target="_blank">Face detection, pose estimation, and landmark localization in the wild</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>999</td><td>605</td><td>394</td><td>45</td><td>576</td><td>422</td></tr><tr><td>026e3363b7f76b51cc711886597a44d5f1fd1de2</td><td>kitti</td><td>KITTI</td><td><a href="papers/026e3363b7f76b51cc711886597a44d5f1fd1de2.html" target="_blank">Vision meets robotics: The KITTI dataset</a></td><td><a href="https://pdfs.semanticscholar.org/026e/3363b7f76b51cc711886597a44d5f1fd1de2.pdf" target="_blank">[pdf]</a></td><td>I. J. Robotics Res.</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>547</td><td>452</td><td>37</td><td>553</td><td>462</td></tr><tr><td>370b5757a5379b15e30d619e4d3fb9e8e13f3256</td><td>lfw</td><td>LFW</td><td><a href="papers/370b5757a5379b15e30d619e4d3fb9e8e13f3256.html" target="_blank">Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments</a></td><td><a href="https://pdfs.semanticscholar.org/c6b3/ca4f939e36a9679a70e14ce8b1bbbc5618f3.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>547</td><td>452</td><td>64</td><td>598</td><td>382</td></tr><tr><td>162ea969d1929ed180cc6de9f0bf116993ff6e06</td><td>vgg_faces</td><td>VGG Face</td><td><a href="papers/162ea969d1929ed180cc6de9f0bf116993ff6e06.html" target="_blank">Deep Face Recognition</a></td><td><a href="https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>546</td><td>453</td><td>58</td><td>558</td><td>429</td></tr><tr><td>5e0f8c355a37a5a89351c02f174e7a5ddcb98683</td><td>coco</td><td>COCO</td><td><a href="papers/5e0f8c355a37a5a89351c02f174e7a5ddcb98683.html" target="_blank">Microsoft COCO: Common Objects in Context</a></td><td><a href="https://arxiv.org/pdf/1405.0312.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>545</td><td>454</td><td>26</td><td>722</td><td>259</td></tr><tr><td>0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a</td><td>voc</td><td>VOC</td><td><a href="papers/0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a.html" target="_blank">The Pascal Visual Object Classes (VOC) Challenge</a></td><td><a href="http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>999</td><td>544</td><td>454</td><td>30</td><td>557</td><td>422</td></tr><tr><td>4d9a02d080636e9666c4d1cc438b9893391ec6c7</td><td>cohn_kanade_plus</td><td>CK+</td><td><a href="papers/4d9a02d080636e9666c4d1cc438b9893391ec6c7.html" target="_blank">The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops</td><td>edu</td><td>University of Pittsburgh</td><td>United States</td><td>40.44415295</td><td>-79.96243993</td><td>54%</td><td>999</td><td>543</td><td>456</td><td>58</td><td>470</td><td>518</td></tr><tr><td>759a3b3821d9f0e08e0b0a62c8b693230afc3f8d</td><td>pubfig</td><td>PubFig</td><td><a href="papers/759a3b3821d9f0e08e0b0a62c8b693230afc3f8d.html" target="_blank">Attribute and simile classifiers for face verification</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE 12th International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>914</td><td>535</td><td>379</td><td>49</td><td>586</td><td>316</td></tr><tr><td>31b58ced31f22eab10bd3ee2d9174e7c14c27c01</td><td>tiny_images</td><td>Tiny Images</td><td><a href="papers/31b58ced31f22eab10bd3ee2d9174e7c14c27c01.html" target="_blank">80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>999</td><td>529</td><td>470</td><td>89</td><td>644</td><td>337</td></tr><tr><td>6d96f946aaabc734af7fe3fc4454cf8547fcd5ed</td><td>ar_facedb</td><td>AR Face</td><td><a href="papers/6d96f946aaabc734af7fe3fc4454cf8547fcd5ed.html" target="_blank">The AR face database</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>999</td><td>519</td><td>480</td><td>56</td><td>455</td><td>530</td></tr><tr><td>18ae7c9a4bbc832b8b14bc4122070d7939f5e00e</td><td>frgc</td><td>FRGC</td><td><a href="papers/18ae7c9a4bbc832b8b14bc4122070d7939f5e00e.html" target="_blank">Overview of the face recognition grand challenge</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)</td><td>edu</td><td>NIST</td><td>United States</td><td>39.14004000</td><td>-77.21850600</td><td>52%</td><td>999</td><td>519</td><td>479</td><td>86</td><td>549</td><td>442</td></tr><tr><td>18c72175ddbb7d5956d180b65a96005c100f6014</td><td>yale_faces</td><td>YaleFaces</td><td><a href="papers/18c72175ddbb7d5956d180b65a96005c100f6014.html" target="_blank">From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose</a></td><td><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.147.1487&rep=rep1&type=pdf" target="_blank">[pdf]</a></td><td>IEEE Trans. Pattern Anal. Mach. Intell.</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>999</td><td>516</td><td>483</td><td>66</td><td>497</td><td>462</td></tr><tr><td>f72f6a45ee240cc99296a287ff725aaa7e7ebb35</td><td>caltech_pedestrians</td><td>Caltech Pedestrians</td><td><a href="papers/f72f6a45ee240cc99296a287ff725aaa7e7ebb35.html" target="_blank">Pedestrian Detection: An Evaluation of the State of the Art</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td>edu</td><td>California Institute of Technology</td><td>United States</td><td>34.13710185</td><td>-118.12527487</td><td>51%</td><td>999</td><td>511</td><td>488</td><td>71</td><td>526</td><td>466</td></tr><tr><td>10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5</td><td>inria_person</td><td>INRIA Pedestrian</td><td><a href="papers/10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5.html" target="_blank">Histograms of oriented gradients for human detection</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)</td><td>edu</td><td>INRIA Rhone-Alps, Montbonnot, France</td><td>France</td><td>45.21788600</td><td>5.80736900</td><td>51%</td><td>999</td><td>510</td><td>489</td><td>44</td><td>419</td><td>509</td></tr><tr><td>2ad0ee93d029e790ebb50574f403a09854b65b7e</td><td>yale_faces</td><td>YaleFaces</td><td><a href="papers/2ad0ee93d029e790ebb50574f403a09854b65b7e.html" target="_blank">Acquiring linear subspaces for face recognition under variable lighting</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>999</td><td>498</td><td>501</td><td>94</td><td>495</td><td>491</td></tr><tr><td>23fc83c8cfff14a16df7ca497661264fc54ed746</td><td>cohn_kanade</td><td>CK</td><td><a href="papers/23fc83c8cfff14a16df7ca497661264fc54ed746.html" target="_blank">Comprehensive Database for Facial Expression Analysis</a></td><td><a href="https://pdfs.semanticscholar.org/23fc/83c8cfff14a16df7ca497661264fc54ed746.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>999</td><td>492</td><td>507</td><td>69</td><td>539</td><td>439</td></tr><tr><td>b62628ac06bbac998a3ab825324a41a11bc3a988</td><td>m2vtsdb_extended</td><td>xm2vtsdb</td><td><a href="papers/b62628ac06bbac998a3ab825324a41a11bc3a988.html" target="_blank">XM2VTSDB : The extended M2VTS database</a></td><td><a href="https://pdfs.semanticscholar.org/b626/28ac06bbac998a3ab825324a41a11bc3a988.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>864</td><td>463</td><td>401</td><td>40</td><td>493</td><td>404</td></tr><tr><td>6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4</td><td>celeba</td><td>CelebA</td><td><a href="papers/6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4.html" target="_blank">Deep Learning Face Attributes in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td>edu</td><td>Chinese University of Hong Kong</td><td>China</td><td>22.41626320</td><td>114.21093180</td><td>50%</td><td>919</td><td>456</td><td>462</td><td>64</td><td>694</td><td>201</td></tr><tr><td>dc8b25e35a3acb812beb499844734081722319b4</td><td>feret</td><td>FERET</td><td><a href="papers/dc8b25e35a3acb812beb499844734081722319b4.html" target="_blank">The FERET database and evaluation procedure for face-recognition algorithms</a></td><td><a href="http://biometrics.nist.gov/cs_links/face/frvt/feret/FERET_Database_evaluation_procedure.pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>999</td><td>455</td><td>544</td><td>103</td><td>590</td><td>421</td></tr><tr><td>55206f0b5f57ce17358999145506cd01e570358c</td><td>orl</td><td>ORL</td><td><a href="papers/55206f0b5f57ce17358999145506cd01e570358c.html" target="_blank">Parameterisation of a stochastic model for human face identification</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>999</td><td>452</td><td>547</td><td>94</td><td>543</td><td>427</td></tr><tr><td>45c31cde87258414f33412b3b12fc5bec7cb3ba9</td><td>jaffe</td><td>JAFFE</td><td><a href="papers/45c31cde87258414f33412b3b12fc5bec7cb3ba9.html" target="_blank">Coding Facial Expressions with Gabor Wavelets</a></td><td><a href="http://physics.lbl.gov/patrecog/images/Facerecog_gabor.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>899</td><td>443</td><td>456</td><td>51</td><td>431</td><td>451</td></tr><tr><td>4d423acc78273b75134e2afd1777ba6d3a398973</td><td>cmu_pie</td><td>CMU PIE</td><td><a href="papers/4d423acc78273b75134e2afd1777ba6d3a398973.html" target="_blank">The CMU Pose, Illumination, and Expression (PIE) Database</a></td><td><a href="http://www.comp.nus.edu.sg/~tsim/piedb.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>760</td><td>409</td><td>350</td><td>50</td><td>404</td><td>345</td></tr><tr><td>4d423acc78273b75134e2afd1777ba6d3a398973</td><td>multi_pie</td><td>MULTIPIE</td><td><a href="papers/4d423acc78273b75134e2afd1777ba6d3a398973.html" target="_blank">The CMU Pose, Illumination, and Expression (PIE) Database</a></td><td><a href="http://www.comp.nus.edu.sg/~tsim/piedb.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>760</td><td>409</td><td>350</td><td>50</td><td>404</td><td>345</td></tr><tr><td>2830fb5282de23d7784b4b4bc37065d27839a412</td><td>h3d</td><td>H3D</td><td><a href="papers/2830fb5282de23d7784b4b4bc37065d27839a412.html" target="_blank">Poselets: Body part detectors trained using 3D human pose annotations</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE 12th International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>716</td><td>370</td><td>346</td><td>60</td><td>492</td><td>222</td></tr><tr><td>6273b3491e94ea4dd1ce42b791d77bdc96ee73a8</td><td>viper</td><td>VIPeR</td><td><a href="papers/6273b3491e94ea4dd1ce42b791d77bdc96ee73a8.html" target="_blank">Evaluating Appearance Models for Recognition, Reacquisition, and Tracking</a></td><td><a href="https://pdfs.semanticscholar.org/7847/b1fbccadb780b655e72c66d3f9e93ddb880c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>624</td><td>352</td><td>272</td><td>35</td><td>342</td><td>276</td></tr><tr><td>6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3</td><td>cuhk_campus_03</td><td>CUHK03 Campus</td><td><a href="papers/6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3.html" target="_blank">DeepReID: Deep Filter Pairing Neural Network for Person Re-identification</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>568</td><td>323</td><td>245</td><td>26</td><td>320</td><td>235</td></tr><tr><td>2258e01865367018ed6f4262c880df85b94959f8</td><td>mot</td><td>MOT</td><td><a href="papers/2258e01865367018ed6f4262c880df85b94959f8.html" target="_blank">Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics</a></td><td><a href="https://cvhci.anthropomatik.kit.edu/images/stories/msmmi/papers/eurasip2008.pdf" target="_blank">[pdf]</a></td><td>EURASIP J. Image and Video Processing</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>632</td><td>314</td><td>316</td><td>50</td><td>358</td><td>264</td></tr><tr><td>560e0e58d0059259ddf86fcec1fa7975dee6a868</td><td>youtube_faces</td><td>YouTubeFaces</td><td><a href="papers/560e0e58d0059259ddf86fcec1fa7975dee6a868.html" target="_blank">Face recognition in unconstrained videos with matched background similarity</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>509</td><td>291</td><td>217</td><td>28</td><td>294</td><td>216</td></tr><tr><td>3316521a5527c7700af8ae6aef32a79a8b83672c</td><td>tud_campus</td><td>TUD-Campus</td><td><a href="papers/3316521a5527c7700af8ae6aef32a79a8b83672c.html" target="_blank">People-tracking-by-detection and people-detection-by-tracking</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>545</td><td>287</td><td>257</td><td>40</td><td>330</td><td>218</td></tr><tr><td>3316521a5527c7700af8ae6aef32a79a8b83672c</td><td>tud_crossing</td><td>TUD-Crossing</td><td><a href="papers/3316521a5527c7700af8ae6aef32a79a8b83672c.html" target="_blank">People-tracking-by-detection and people-detection-by-tracking</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>545</td><td>287</td><td>257</td><td>40</td><td>330</td><td>218</td></tr><tr><td>3316521a5527c7700af8ae6aef32a79a8b83672c</td><td>tud_pedestrian</td><td>TUD-Pedestrian</td><td><a href="papers/3316521a5527c7700af8ae6aef32a79a8b83672c.html" target="_blank">People-tracking-by-detection and people-detection-by-tracking</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>545</td><td>287</td><td>257</td><td>40</td><td>330</td><td>218</td></tr><tr><td>853bd61bc48a431b9b1c7cab10c603830c488e39</td><td>casia_webface</td><td>CASIA Webface</td><td><a href="papers/853bd61bc48a431b9b1c7cab10c603830c488e39.html" target="_blank">Learning Face Representation from Scratch</a></td><td><a href="https://arxiv.org/pdf/1411.7923.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>476</td><td>277</td><td>199</td><td>26</td><td>290</td><td>182</td></tr><tr><td>cc589c499dcf323fe4a143bbef0074c3e31f9b60</td><td>bu_3dfe</td><td>BU-3DFE</td><td><a href="papers/cc589c499dcf323fe4a143bbef0074c3e31f9b60.html" target="_blank">A 3D facial expression database for facial behavior research</a></td><td><span class="gray">[pdf]</a></td><td>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>588</td><td>275</td><td>312</td><td>45</td><td>306</td><td>282</td></tr><tr><td>4308bd8c28e37e2ed9a3fcfe74d5436cce34b410</td><td>market_1501</td><td>Market 1501</td><td><a href="papers/4308bd8c28e37e2ed9a3fcfe74d5436cce34b410.html" target="_blank">Scalable Person Re-identification: A Benchmark</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>460</td><td>257</td><td>203</td><td>16</td><td>263</td><td>185</td></tr><tr><td>4053e3423fb70ad9140ca89351df49675197196a</td><td>bio_id</td><td>BioID Face</td><td><a href="papers/4053e3423fb70ad9140ca89351df49675197196a.html" target="_blank">Robust Face Detection Using the Hausdorff Distance</a></td><td><a href="https://pdfs.semanticscholar.org/4053/e3423fb70ad9140ca89351df49675197196a.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>48%</td><td>511</td><td>247</td><td>264</td><td>51</td><td>329</td><td>182</td></tr><tr><td>8a3c5507237957d013a0fe0f082cab7f757af6ee</td><td>mafl</td><td>MAFL</td><td><a href="papers/8a3c5507237957d013a0fe0f082cab7f757af6ee.html" target="_blank">Facial Landmark Detection by Deep Multi-task Learning</a></td><td><a href="https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>407</td><td>239</td><td>168</td><td>18</td><td>252</td><td>153</td></tr><tr><td>8a3c5507237957d013a0fe0f082cab7f757af6ee</td><td>mtfl</td><td>MTFL</td><td><a href="papers/8a3c5507237957d013a0fe0f082cab7f757af6ee.html" target="_blank">Facial Landmark Detection by Deep Multi-task Learning</a></td><td><a href="https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>407</td><td>239</td><td>168</td><td>18</td><td>252</td><td>153</td></tr><tr><td>9055b155cbabdce3b98e16e5ac9c0edf00f9552f</td><td>morph</td><td>MORPH Commercial</td><td><a href="papers/9055b155cbabdce3b98e16e5ac9c0edf00f9552f.html" target="_blank">MORPH: a longitudinal image database of normal adult age-progression</a></td><td><span class="gray">[pdf]</a></td><td>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>437</td><td>225</td><td>211</td><td>24</td><td>228</td><td>203</td></tr><tr><td>9055b155cbabdce3b98e16e5ac9c0edf00f9552f</td><td>morph_nc</td><td>MORPH Non-Commercial</td><td><a href="papers/9055b155cbabdce3b98e16e5ac9c0edf00f9552f.html" target="_blank">MORPH: a longitudinal image database of normal adult age-progression</a></td><td><span class="gray">[pdf]</a></td><td>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>437</td><td>225</td><td>211</td><td>24</td><td>228</td><td>203</td></tr><tr><td>3325860c0c82a93b2eac654f5324dd6a776f609e</td><td>mpii_human_pose</td><td>MPII Human Pose</td><td><a href="papers/3325860c0c82a93b2eac654f5324dd6a776f609e.html" target="_blank">2D Human Pose Estimation: New Benchmark and State of the Art Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>387</td><td>224</td><td>163</td><td>21</td><td>291</td><td>96</td></tr><tr><td>16c7c31a7553d99f1837fc6e88e77b5ccbb346b8</td><td>prid</td><td>PRID</td><td><a href="papers/16c7c31a7553d99f1837fc6e88e77b5ccbb346b8.html" target="_blank">Person Re-identification by Descriptive and Discriminative Classification</a></td><td><a href="https://pdfs.semanticscholar.org/4c1b/f0592be3e535faf256c95e27982db9b3d3d3.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>386</td><td>221</td><td>165</td><td>25</td><td>204</td><td>180</td></tr><tr><td>2485c98aa44131d1a2f7d1355b1e372f2bb148ad</td><td>cas_peal</td><td>CAS-PEAL</td><td><a href="papers/2485c98aa44131d1a2f7d1355b1e372f2bb148ad.html" target="_blank">The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>429</td><td>218</td><td>211</td><td>39</td><td>198</td><td>234</td></tr><tr><td>2a75f34663a60ab1b04a0049ed1d14335129e908</td><td>mmi_facial_expression</td><td>MMI Facial Expression Dataset</td><td><a href="papers/2a75f34663a60ab1b04a0049ed1d14335129e908.html" target="_blank">Web-based database for facial expression analysis</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE International Conference on Multimedia and Expo</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>464</td><td>217</td><td>247</td><td>45</td><td>282</td><td>188</td></tr><tr><td>75da1df4ed319926c544eefe17ec8d720feef8c0</td><td>fddb</td><td>FDDB</td><td><a href="papers/75da1df4ed319926c544eefe17ec8d720feef8c0.html" target="_blank">FDDB: A benchmark for face detection in unconstrained settings</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>380</td><td>214</td><td>166</td><td>22</td><td>202</td><td>164</td></tr><tr><td>6dd0597f8513dc100cd0bc1b493768cde45098a9</td><td>stickmen_buffy</td><td>Buffy Stickmen</td><td><a href="papers/6dd0597f8513dc100cd0bc1b493768cde45098a9.html" target="_blank">Learning to parse images of articulated bodies</a></td><td><a href="http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_899.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>369</td><td>207</td><td>161</td><td>32</td><td>237</td><td>131</td></tr><tr><td>6dd0597f8513dc100cd0bc1b493768cde45098a9</td><td>stickmen_pascal</td><td>Stickmen PASCAL</td><td><a href="papers/6dd0597f8513dc100cd0bc1b493768cde45098a9.html" target="_blank">Learning to parse images of articulated bodies</a></td><td><a href="http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_899.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>369</td><td>207</td><td>161</td><td>32</td><td>237</td><td>131</td></tr><tr><td>6dd0597f8513dc100cd0bc1b493768cde45098a9</td><td>stickmen_pascal</td><td>Stickmen PASCAL</td><td><a href="papers/6dd0597f8513dc100cd0bc1b493768cde45098a9.html" target="_blank">Learning to parse images of articulated bodies</a></td><td><a href="http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_899.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>369</td><td>207</td><td>161</td><td>32</td><td>237</td><td>131</td></tr><tr><td>95f12d27c3b4914e0668a268360948bce92f7db3</td><td>helen</td><td>Helen</td><td><a href="papers/95f12d27c3b4914e0668a268360948bce92f7db3.html" target="_blank">Interactive Facial Feature Localization</a></td><td><a href="https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>company</td><td>Facebook</td><td>United States</td><td>37.39367170</td><td>-122.08072620</td><td>57%</td><td>352</td><td>200</td><td>152</td><td>26</td><td>212</td><td>146</td></tr><tr><td>044d9a8c61383312cdafbcc44b9d00d650b21c70</td><td>fiw_300</td><td>300-W</td><td><a href="papers/044d9a8c61383312cdafbcc44b9d00d650b21c70.html" target="_blank">300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision Workshops</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>323</td><td>198</td><td>125</td><td>27</td><td>208</td><td>120</td></tr><tr><td>3765df816dc5a061bc261e190acc8bdd9d47bec0</td><td>rafd</td><td>RaFD</td><td><a href="papers/3765df816dc5a061bc261e190acc8bdd9d47bec0.html" target="_blank">Presentation and validation of the Radboud Faces Database</a></td><td><a href="https://pdfs.semanticscholar.org/3765/df816dc5a061bc261e190acc8bdd9d47bec0.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>39%</td><td>487</td><td>192</td><td>295</td><td>39</td><td>342</td><td>144</td></tr><tr><td>2724ba85ec4a66de18da33925e537f3902f21249</td><td>cofw</td><td>COFW</td><td><a href="papers/2724ba85ec4a66de18da33925e537f3902f21249.html" target="_blank">Robust Face Landmark Estimation under Occlusion</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision</td><td>edu</td><td>California Institute of Technology</td><td>United States</td><td>34.13710185</td><td>-118.12527487</td><td>57%</td><td>325</td><td>185</td><td>140</td><td>19</td><td>194</td><td>133</td></tr><tr><td>639937b3a1b8bded3f7e9a40e85bd3770016cf3c</td><td>bfm</td><td>BFM</td><td><a href="papers/639937b3a1b8bded3f7e9a40e85bd3770016cf3c.html" target="_blank">A 3D Face Model for Pose and Illumination Invariant Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>343</td><td>183</td><td>160</td><td>25</td><td>223</td><td>114</td></tr><tr><td>13f06b08f371ba8b5d31c3e288b4deb61335b462</td><td>eth_andreas_ess</td><td>ETHZ Pedestrian</td><td><a href="papers/13f06b08f371ba8b5d31c3e288b4deb61335b462.html" target="_blank">Depth and Appearance for Mobile Scene Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2007 IEEE 11th International Conference on Computer Vision</td><td>edu</td><td>ETH Zurich</td><td>Switzerland</td><td>47.37631300</td><td>8.54766990</td><td>55%</td><td>324</td><td>179</td><td>145</td><td>26</td><td>193</td><td>127</td></tr><tr><td>a74251efa970b92925b89eeef50a5e37d9281ad0</td><td>aflw</td><td>AFLW</td><td><a href="papers/a74251efa970b92925b89eeef50a5e37d9281ad0.html" target="_blank">Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>318</td><td>177</td><td>141</td><td>35</td><td>211</td><td>107</td></tr><tr><td>4b1d23d17476fcf78f4cbadf69fb130b1aa627c0</td><td>leeds_sports_pose</td><td>Leeds Sports Pose</td><td><a href="papers/4b1d23d17476fcf78f4cbadf69fb130b1aa627c0.html" target="_blank">Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation</a></td><td><a href="http://www.bmva.org/bmvc/2010/conference/paper12/abstract12.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>285</td><td>174</td><td>111</td><td>13</td><td>197</td><td>93</td></tr><tr><td>4b1d23d17476fcf78f4cbadf69fb130b1aa627c0</td><td>stickmen_buffy</td><td>Buffy Stickmen</td><td><a href="papers/4b1d23d17476fcf78f4cbadf69fb130b1aa627c0.html" target="_blank">Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation</a></td><td><a href="http://www.bmva.org/bmvc/2010/conference/paper12/abstract12.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>285</td><td>174</td><td>111</td><td>13</td><td>197</td><td>93</td></tr><tr><td>5981e6479c3fd4e31644db35d236bfb84ae46514</td><td>mot</td><td>MOT</td><td><a href="papers/5981e6479c3fd4e31644db35d236bfb84ae46514.html" target="_blank">Learning to associate: HybridBoosted multi-target tracker for crowded scene</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>University of Southern California</td><td>United States</td><td>34.02241490</td><td>-118.28634407</td><td>53%</td><td>326</td><td>172</td><td>153</td><td>27</td><td>190</td><td>137</td></tr><tr><td>436f798d1a4e54e5947c1e7d7375c31b2bdb4064</td><td>tud_multiview</td><td>TUD-Multiview</td><td><a href="papers/436f798d1a4e54e5947c1e7d7375c31b2bdb4064.html" target="_blank">Monocular 3D pose estimation and tracking by detection</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>TU Darmstadt</td><td>Germany</td><td>49.87482770</td><td>8.65632810</td><td>55%</td><td>311</td><td>172</td><td>139</td><td>35</td><td>208</td><td>105</td></tr><tr><td>436f798d1a4e54e5947c1e7d7375c31b2bdb4064</td><td>tud_stadtmitte</td><td>TUD-Stadtmitte</td><td><a href="papers/436f798d1a4e54e5947c1e7d7375c31b2bdb4064.html" target="_blank">Monocular 3D pose estimation and tracking by detection</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>TU Darmstadt</td><td>Germany</td><td>49.87482770</td><td>8.65632810</td><td>55%</td><td>311</td><td>172</td><td>139</td><td>35</td><td>208</td><td>105</td></tr><tr><td>2acf7e58f0a526b957be2099c10aab693f795973</td><td>bosphorus</td><td>The Bosphorus</td><td><a href="papers/2acf7e58f0a526b957be2099c10aab693f795973.html" target="_blank">Bosphorus Database for 3D Face Analysis</a></td><td><a href="https://pdfs.semanticscholar.org/4254/fbba3846008f50671edc9cf70b99d7304543.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>352</td><td>171</td><td>181</td><td>17</td><td>162</td><td>188</td></tr><tr><td>44484d2866f222bbb9b6b0870890f9eea1ffb2d0</td><td>cuhk_campus_03</td><td>CUHK03 Campus</td><td><a href="papers/44484d2866f222bbb9b6b0870890f9eea1ffb2d0.html" target="_blank">Human Reidentification with Transferred Metric Learning</a></td><td><a href="http://www.ee.cuhk.edu.hk/~xgwang/papers/liZWaccv12.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>280</td><td>168</td><td>112</td><td>12</td><td>139</td><td>137</td></tr><tr><td>833fa04463d90aab4a9fe2870d480f0b40df446e</td><td>sun_attributes</td><td>SUN</td><td><a href="papers/833fa04463d90aab4a9fe2870d480f0b40df446e.html" target="_blank">SUN attribute database: Discovering, annotating, and recognizing scene attributes</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Brown University</td><td>United States</td><td>41.82686820</td><td>-71.40123146</td><td>58%</td><td>264</td><td>154</td><td>110</td><td>27</td><td>206</td><td>56</td></tr><tr><td>010f0f4929e6a6644fb01f0e43820f91d0fad292</td><td>yfcc_100m</td><td>YFCC100M</td><td><a href="papers/010f0f4929e6a6644fb01f0e43820f91d0fad292.html" target="_blank">YFCC100M: the new data in multimedia research</a></td><td><span class="gray">[pdf]</a></td><td>Commun. ACM</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>274</td><td>154</td><td>120</td><td>24</td><td>172</td><td>100</td></tr><tr><td>9361b784e73e9238d5cefbea5ac40d35d1e3103f</td><td>town_centre</td><td>TownCentre</td><td><a href="papers/9361b784e73e9238d5cefbea5ac40d35d1e3103f.html" target="_blank">Stable multi-target tracking in real-time surveillance video</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>328</td><td>153</td><td>175</td><td>24</td><td>186</td><td>140</td></tr><tr><td>6204776d31359d129a582057c2d788a14f8aadeb</td><td>youtube_celebrities</td><td>YouTube Celebrities</td><td><a href="papers/6204776d31359d129a582057c2d788a14f8aadeb.html" target="_blank">Face tracking and recognition with visual constraints in real-world videos</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Rutgers University</td><td>United States</td><td>40.47913175</td><td>-74.43168868</td><td>53%</td><td>267</td><td>142</td><td>124</td><td>14</td><td>125</td><td>121</td></tr><tr><td>2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9</td><td>graz</td><td>Graz Pedestrian</td><td><a href="papers/2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9.html" target="_blank">Generic object recognition with boosting</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td>edu</td><td>TU Graz</td><td>Austria</td><td>47.07071400</td><td>15.43950400</td><td>47%</td><td>293</td><td>138</td><td>155</td><td>16</td><td>195</td><td>97</td></tr><tr><td>38b55d95189c5e69cf4ab45098a48fba407609b4</td><td>cuhk_campus_03</td><td>CUHK03 Campus</td><td><a href="papers/38b55d95189c5e69cf4ab45098a48fba407609b4.html" target="_blank">Locally Aligned Feature Transforms across Views</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>258</td><td>135</td><td>123</td><td>17</td><td>136</td><td>117</td></tr><tr><td>e8de844fefd54541b71c9823416daa238be65546</td><td>visual_phrases</td><td>Phrasal Recognition</td><td><a href="papers/e8de844fefd54541b71c9823416daa238be65546.html" target="_blank">Recognition using visual phrases</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td>edu</td><td>University of Illinois, Urbana-Champaign</td><td>United States</td><td>40.11116745</td><td>-88.22587665</td><td>55%</td><td>246</td><td>135</td><td>111</td><td>18</td><td>170</td><td>68</td></tr><tr><td>7808937b46acad36e43c30ae4e9f3fd57462853d</td><td>bpad</td><td>BPAD</td><td><a href="papers/7808937b46acad36e43c30ae4e9f3fd57462853d.html" target="_blank">Describing people: A poselet-based approach to attribute classification</a></td><td><span class="gray">[pdf]</a></td><td>2011 International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>230</td><td>128</td><td>102</td><td>14</td><td>163</td><td>66</td></tr><tr><td>0c91808994a250d7be332400a534a9291ca3b60e</td><td>graz</td><td>Graz Pedestrian</td><td><a href="papers/0c91808994a250d7be332400a534a9291ca3b60e.html" target="_blank">Weak Hypotheses and Boosting for Generic Object Detection and Recognition</a></td><td><a href="https://pdfs.semanticscholar.org/0c91/808994a250d7be332400a534a9291ca3b60e.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>236</td><td>127</td><td>109</td><td>17</td><td>161</td><td>77</td></tr><tr><td>4c170a0dcc8de75587dae21ca508dab2f9343974</td><td>face_tracer</td><td>FaceTracer</td><td><a href="papers/4c170a0dcc8de75587dae21ca508dab2f9343974.html" target="_blank">FaceTracer: A Search Engine for Large Collections of Images with Faces</a></td><td><a href="https://pdfs.semanticscholar.org/73a8/1d311eedac8dea3ca24dc15b6990fa4a725e.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>225</td><td>126</td><td>99</td><td>17</td><td>146</td><td>77</td></tr><tr><td>140c95e53c619eac594d70f6369f518adfea12ef</td><td>ijb_a</td><td>IJB-A</td><td><a href="papers/140c95e53c619eac594d70f6369f518adfea12ef.html" target="_blank">Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>237</td><td>123</td><td>114</td><td>22</td><td>159</td><td>76</td></tr><tr><td>98bb029afe2a1239c3fdab517323066f0957b81b</td><td>ilids_mcts_vid</td><td>iLIDS-VID</td><td><a href="papers/98bb029afe2a1239c3fdab517323066f0957b81b.html" target="_blank">Person Re-identification by Video Ranking</a></td><td><a href="https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>209</td><td>123</td><td>86</td><td>9</td><td>111</td><td>97</td></tr><tr><td>98bb029afe2a1239c3fdab517323066f0957b81b</td><td>sdu_vid</td><td>SDU-VID</td><td><a href="papers/98bb029afe2a1239c3fdab517323066f0957b81b.html" target="_blank">Person Re-identification by Video Ranking</a></td><td><a href="https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>209</td><td>123</td><td>86</td><td>9</td><td>111</td><td>97</td></tr><tr><td>35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62</td><td>coco_qa</td><td>COCO QA</td><td><a href="papers/35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62.html" target="_blank">Exploring Models and Data for Image Question Answering</a></td><td><a href="https://arxiv.org/pdf/1505.02074.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>206</td><td>115</td><td>91</td><td>11</td><td>162</td><td>39</td></tr><tr><td>46a01565e6afe7c074affb752e7069ee3bf2e4ef</td><td>sdu_vid</td><td>SDU-VID</td><td><a href="papers/46a01565e6afe7c074affb752e7069ee3bf2e4ef.html" target="_blank">Local Descriptors Encoded by Fisher Vectors for Person Re-identification</a></td><td><a href="https://pdfs.semanticscholar.org/a105/f1ef67b4b02da38eadce8ffb4e13aa301a93.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>197</td><td>114</td><td>83</td><td>16</td><td>108</td><td>88</td></tr><tr><td>b1f4423c227fa37b9680787be38857069247a307</td><td>afew_va</td><td>AFEW-VA</td><td><a href="papers/b1f4423c227fa37b9680787be38857069247a307.html" target="_blank">Collecting Large, Richly Annotated Facial-Expression Databases from Movies</a></td><td><span class="gray">[pdf]</a></td><td>IEEE MultiMedia</td><td>edu</td><td>Australian National University</td><td>Australia</td><td>-35.27769990</td><td>149.11852700</td><td>61%</td><td>181</td><td>111</td><td>70</td><td>8</td><td>87</td><td>97</td></tr><tr><td>570f37ed63142312e6ccdf00ecc376341ec72b9f</td><td>stanford_drone</td><td>Stanford Drone</td><td><a href="papers/570f37ed63142312e6ccdf00ecc376341ec72b9f.html" target="_blank">Social LSTM: Human Trajectory Prediction in Crowded Spaces</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>224</td><td>110</td><td>114</td><td>3</td><td>140</td><td>81</td></tr><tr><td>013909077ad843eb6df7a3e8e290cfd5575999d2</td><td>fiw_300</td><td>300-W</td><td><a href="papers/013909077ad843eb6df7a3e8e290cfd5575999d2.html" target="_blank">A Semi-automatic Methodology for Facial Landmark Annotation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>184</td><td>107</td><td>77</td><td>14</td><td>120</td><td>67</td></tr><tr><td>18010284894ed0edcca74e5bf768ee2e15ef7841</td><td>deep_fashion</td><td>DeepFashion</td><td><a href="papers/18010284894ed0edcca74e5bf768ee2e15ef7841.html" target="_blank">DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>176</td><td>105</td><td>71</td><td>2</td><td>113</td><td>62</td></tr><tr><td>22ad2c8c0f4d6aa4328b38d894b814ec22579761</td><td>gallagher</td><td>Gallagher</td><td><a href="papers/22ad2c8c0f4d6aa4328b38d894b814ec22579761.html" target="_blank">Clothing cosegmentation for recognizing people</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Carnegie Mellon University Silicon Valley</td><td>United States</td><td>37.41021930</td><td>-122.05965487</td><td>59%</td><td>178</td><td>105</td><td>73</td><td>7</td><td>100</td><td>86</td></tr><tr><td>52d7eb0fbc3522434c13cc247549f74bb9609c5d</td><td>wider_face</td><td>WIDER FACE</td><td><a href="papers/52d7eb0fbc3522434c13cc247549f74bb9609c5d.html" target="_blank">WIDER FACE: A Face Detection Benchmark</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td>edu</td><td>Chinese University of Hong Kong</td><td>China</td><td>22.41626320</td><td>114.21093180</td><td>58%</td><td>178</td><td>104</td><td>74</td><td>13</td><td>112</td><td>66</td></tr><tr><td>4e4746094bf60ee83e40d8597a6191e463b57f76</td><td>leeds_sports_pose_extended</td><td>Leeds Sports Pose Extended</td><td><a href="papers/4e4746094bf60ee83e40d8597a6191e463b57f76.html" target="_blank">Learning effective human pose estimation from inaccurate annotation</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td>edu</td><td>University of Leeds</td><td>United Kingdom</td><td>53.80387185</td><td>-1.55245712</td><td>61%</td><td>169</td><td>103</td><td>66</td><td>8</td><td>108</td><td>65</td></tr><tr><td>133f01aec1534604d184d56de866a4bd531dac87</td><td>lfw</td><td>LFW</td><td><a href="papers/133f01aec1534604d184d56de866a4bd531dac87.html" target="_blank">Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>183</td><td>101</td><td>82</td><td>14</td><td>103</td><td>77</td></tr><tr><td>1aad2da473888cb7ebc1bfaa15bfa0f1502ce005</td><td>jpl_pose</td><td>JPL-Interaction dataset</td><td><a href="papers/1aad2da473888cb7ebc1bfaa15bfa0f1502ce005.html" target="_blank">First-Person Activity Recognition: What Are They Doing to Me?</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>66%</td><td>148</td><td>98</td><td>50</td><td>7</td><td>105</td><td>43</td></tr><tr><td>56ffa7d906b08d02d6d5a12c7377a57e24ef3391</td><td>unbc_shoulder_pain</td><td>UNBC-McMaster Pain</td><td><a href="papers/56ffa7d906b08d02d6d5a12c7377a57e24ef3391.html" target="_blank">Painful data: The UNBC-McMaster shoulder pain expression archive database</a></td><td><span class="gray">[pdf]</a></td><td>Face and Gesture 2011</td><td>edu</td><td>Carnegie Mellon University Silicon Valley</td><td>United States</td><td>37.41021930</td><td>-122.05965487</td><td>51%</td><td>189</td><td>97</td><td>92</td><td>22</td><td>108</td><td>78</td></tr><tr><td>0df0d1adea39a5bef318b74faa37de7f3e00b452</td><td>mpii_gaze</td><td>MPIIGaze</td><td><a href="papers/0df0d1adea39a5bef318b74faa37de7f3e00b452.html" target="_blank">Appearance-based gaze estimation in the wild</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>64%</td><td>149</td><td>95</td><td>54</td><td>3</td><td>94</td><td>54</td></tr><tr><td>32c801cb7fbeb742edfd94cccfca4934baec71da</td><td>ucf_crowd</td><td>UCF-CC-50</td><td><a href="papers/32c801cb7fbeb742edfd94cccfca4934baec71da.html" target="_blank">Multi-source Multi-scale Counting in Extremely Dense Crowd Images</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>64%</td><td>148</td><td>95</td><td>53</td><td>5</td><td>80</td><td>65</td></tr><tr><td>29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d</td><td>scface</td><td>SCface</td><td><a href="papers/29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d.html" target="_blank">SCface – surveillance cameras face database</a></td><td><a href="http://scface.org/SCface%20-%20Surveillance%20Cameras%20Face%20Database.pdf" target="_blank">[pdf]</a></td><td>Multimedia Tools and Applications</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>179</td><td>94</td><td>85</td><td>15</td><td>88</td><td>89</td></tr><tr><td>1be498d4bbc30c3bfd0029114c784bc2114d67c0</td><td>adience</td><td>Adience</td><td><a href="papers/1be498d4bbc30c3bfd0029114c784bc2114d67c0.html" target="_blank">Age and Gender Estimation of Unfiltered Faces</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Information Forensics and Security</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>179</td><td>93</td><td>86</td><td>7</td><td>98</td><td>80</td></tr><tr><td>27a2fad58dd8727e280f97036e0d2bc55ef5424c</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/27a2fad58dd8727e280f97036e0d2bc55ef5424c.html" target="_blank">Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking</a></td><td><a href="https://arxiv.org/pdf/1609.01775.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Duke University</td><td>United States</td><td>35.99905220</td><td>-78.92906290</td><td>55%</td><td>169</td><td>93</td><td>76</td><td>6</td><td>113</td><td>54</td></tr><tr><td>27a2fad58dd8727e280f97036e0d2bc55ef5424c</td><td>mot</td><td>MOT</td><td><a href="papers/27a2fad58dd8727e280f97036e0d2bc55ef5424c.html" target="_blank">Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking</a></td><td><a href="https://arxiv.org/pdf/1609.01775.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Duke University</td><td>United States</td><td>35.99905220</td><td>-78.92906290</td><td>55%</td><td>169</td><td>93</td><td>76</td><td>6</td><td>113</td><td>54</td></tr><tr><td>5a5f0287484f0d480fed1ce585dbf729586f0edc</td><td>disfa</td><td>DISFA</td><td><a href="papers/5a5f0287484f0d480fed1ce585dbf729586f0edc.html" target="_blank">DISFA: A Spontaneous Facial Action Intensity Database</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Affective Computing</td><td>edu</td><td>University of Denver</td><td>United States</td><td>39.67665410</td><td>-104.96220300</td><td>49%</td><td>184</td><td>90</td><td>94</td><td>19</td><td>96</td><td>89</td></tr><tr><td>4f93cd09785c6e77bf4bc5a788e079df524c8d21</td><td>soton</td><td>SOTON HiD</td><td><a href="papers/4f93cd09785c6e77bf4bc5a788e079df524c8d21.html" target="_blank">On a Large Sequence-Based Human Gait Database</a></td><td><a href="https://pdfs.semanticscholar.org/4f93/cd09785c6e77bf4bc5a788e079df524c8d21.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>150</td><td>90</td><td>60</td><td>17</td><td>103</td><td>51</td></tr><tr><td>291265db88023e92bb8c8e6390438e5da148e8f5</td><td>msceleb</td><td>MsCeleb</td><td><a href="papers/291265db88023e92bb8c8e6390438e5da148e8f5.html" target="_blank">MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition</a></td><td><a href="https://arxiv.org/pdf/1607.08221.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>180</td><td>88</td><td>92</td><td>16</td><td>120</td><td>59</td></tr><tr><td>3b5b6d19d4733ab606c39c69a889f9e67967f151</td><td>qmul_grid</td><td>GRID</td><td><a href="papers/3b5b6d19d4733ab606c39c69a889f9e67967f151.html" target="_blank">Multi-camera activity correlation analysis</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Queen Mary University of London</td><td>United Kingdom</td><td>51.52472720</td><td>-0.03931035</td><td>62%</td><td>142</td><td>88</td><td>54</td><td>7</td><td>77</td><td>64</td></tr><tr><td>c0387e788a52f10bf35d4d50659cfa515d89fbec</td><td>mars</td><td>MARS</td><td><a href="papers/c0387e788a52f10bf35d4d50659cfa515d89fbec.html" target="_blank">MARS: A Video Benchmark for Large-Scale Person Re-Identification</a></td><td><a href="https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>168</td><td>85</td><td>83</td><td>5</td><td>97</td><td>69</td></tr><tr><td>066000d44d6691d27202896691f08b27117918b9</td><td>psu</td><td>PSU</td><td><a href="papers/066000d44d6691d27202896691f08b27117918b9.html" target="_blank">Vision-Based Analysis of Small Groups in Pedestrian Crowds</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>168</td><td>83</td><td>85</td><td>11</td><td>85</td><td>79</td></tr><tr><td>8b56e33f33e582f3e473dba573a16b598ed9bcdc</td><td>fei</td><td>FEI</td><td><a href="papers/8b56e33f33e582f3e473dba573a16b598ed9bcdc.html" target="_blank">A new ranking method for principal components analysis and its application to face image analysis</a></td><td><span class="gray">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>169</td><td>80</td><td>89</td><td>6</td><td>69</td><td>102</td></tr><tr><td>10195a163ab6348eef37213a46f60a3d87f289c5</td><td>imdb_wiki</td><td>IMDB</td><td><a href="papers/10195a163ab6348eef37213a46f60a3d87f289c5.html" target="_blank">Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks</a></td><td><a href="http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td>edu</td><td>ETH Zurich</td><td>Switzerland</td><td>47.37631300</td><td>8.54766990</td><td>52%</td><td>145</td><td>76</td><td>69</td><td>11</td><td>93</td><td>51</td></tr><tr><td>96e0cfcd81cdeb8282e29ef9ec9962b125f379b0</td><td>megaface</td><td>MegaFace</td><td><a href="papers/96e0cfcd81cdeb8282e29ef9ec9962b125f379b0.html" target="_blank">The MegaFace Benchmark: 1 Million Faces for Recognition at Scale</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>139</td><td>74</td><td>65</td><td>9</td><td>100</td><td>37</td></tr><tr><td>5a4df9bef1872865f0b619ac3aacc97f49e4a035</td><td>cuhk_train_station</td><td>CUHK Train Station Dataset</td><td><a href="papers/5a4df9bef1872865f0b619ac3aacc97f49e4a035.html" target="_blank">Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Chinese University of Hong Kong</td><td>China</td><td>22.41626320</td><td>114.21093180</td><td>52%</td><td>141</td><td>73</td><td>68</td><td>6</td><td>60</td><td>75</td></tr><tr><td>0486214fb58ee9a04edfe7d6a74c6d0f661a7668</td><td>chokepoint</td><td>ChokePoint</td><td><a href="papers/0486214fb58ee9a04edfe7d6a74c6d0f661a7668.html" target="_blank">Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>138</td><td>72</td><td>66</td><td>6</td><td>76</td><td>63</td></tr><tr><td>b91f54e1581fbbf60392364323d00a0cd43e493c</td><td>bp4d_spontanous</td><td>BP4D-Spontanous</td><td><a href="papers/b91f54e1581fbbf60392364323d00a0cd43e493c.html" target="_blank">A high-resolution spontaneous 3D dynamic facial expression database</a></td><td><span class="gray">[pdf]</a></td><td>2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</td><td>edu</td><td>SUNY Binghamton</td><td>United States</td><td>42.08779975</td><td>-75.97066066</td><td>46%</td><td>154</td><td>71</td><td>83</td><td>7</td><td>80</td><td>75</td></tr><tr><td>2d3482dcff69c7417c7b933f22de606a0e8e42d4</td><td>lfw</td><td>LFW</td><td><a href="papers/2d3482dcff69c7417c7b933f22de606a0e8e42d4.html" target="_blank">Labeled Faces in the Wild : Updates and New Reporting Procedures</a></td><td><a href="https://pdfs.semanticscholar.org/2d34/82dcff69c7417c7b933f22de606a0e8e42d4.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>123</td><td>71</td><td>52</td><td>3</td><td>71</td><td>51</td></tr><tr><td>66e6f08873325d37e0ec20a4769ce881e04e964e</td><td>sun_attributes</td><td>SUN</td><td><a href="papers/66e6f08873325d37e0ec20a4769ce881e04e964e.html" target="_blank">The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding</a></td><td><a href="http://www.cc.gatech.edu/~hays/papers/attribute_ijcv.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>116</td><td>69</td><td>47</td><td>14</td><td>84</td><td>31</td></tr><tr><td>8355d095d3534ef511a9af68a3b2893339e3f96b</td><td>imdb_wiki</td><td>IMDB</td><td><a href="papers/8355d095d3534ef511a9af68a3b2893339e3f96b.html" target="_blank">DEX: Deep EXpectation of Apparent Age from a Single Image</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision Workshop (ICCVW)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>122</td><td>68</td><td>54</td><td>6</td><td>75</td><td>48</td></tr><tr><td>0d3bb75852098b25d90f31d2f48fd0cb4944702b</td><td>face_scrub</td><td>FaceScrub</td><td><a href="papers/0d3bb75852098b25d90f31d2f48fd0cb4944702b.html" target="_blank">A data-driven approach to cleaning large face datasets</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE International Conference on Image Processing (ICIP)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>138</td><td>67</td><td>71</td><td>5</td><td>95</td><td>41</td></tr><tr><td>e4754afaa15b1b53e70743880484b8d0736990ff</td><td>fiw_300</td><td>300-W</td><td><a href="papers/e4754afaa15b1b53e70743880484b8d0736990ff.html" target="_blank">300 Faces In-The-Wild Challenge: database and results</a></td><td><a href="http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>129</td><td>66</td><td>63</td><td>9</td><td>74</td><td>55</td></tr><tr><td>2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e</td><td>3dpes</td><td>3DPeS</td><td><a href="papers/2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e.html" target="_blank">3DPeS: 3D people dataset for surveillance and forensics</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>133</td><td>65</td><td>68</td><td>11</td><td>73</td><td>58</td></tr><tr><td>04c2cda00e5536f4b1508cbd80041e9552880e67</td><td>hipsterwars</td><td>Hipsterwars</td><td><a href="papers/04c2cda00e5536f4b1508cbd80041e9552880e67.html" target="_blank">Hipster Wars: Discovering Elements of Fashion Styles</a></td><td><a href="https://pdfs.semanticscholar.org/04c2/cda00e5536f4b1508cbd80041e9552880e67.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>63%</td><td>95</td><td>60</td><td>35</td><td>4</td><td>59</td><td>35</td></tr><tr><td>3b4ec8af470948a72a6ed37a9fd226719a874ebc</td><td>sdu_vid</td><td>SDU-VID</td><td><a href="papers/3b4ec8af470948a72a6ed37a9fd226719a874ebc.html" target="_blank">A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>95</td><td>57</td><td>38</td><td>7</td><td>50</td><td>45</td></tr><tr><td>a0fd85b3400c7b3e11122f44dc5870ae2de9009a</td><td>mafl</td><td>MAFL</td><td><a href="papers/a0fd85b3400c7b3e11122f44dc5870ae2de9009a.html" target="_blank">Learning Deep Representation for Face Alignment with Auxiliary Attributes</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>108</td><td>56</td><td>52</td><td>11</td><td>66</td><td>44</td></tr><tr><td>a0fd85b3400c7b3e11122f44dc5870ae2de9009a</td><td>mtfl</td><td>MTFL</td><td><a href="papers/a0fd85b3400c7b3e11122f44dc5870ae2de9009a.html" target="_blank">Learning Deep Representation for Face Alignment with Auxiliary Attributes</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>108</td><td>56</td><td>52</td><td>11</td><td>66</td><td>44</td></tr><tr><td>06f02199690961ba52997cde1527e714d2b3bf8f</td><td>columbia_gaze</td><td>Columbia Gaze</td><td><a href="papers/06f02199690961ba52997cde1527e714d2b3bf8f.html" target="_blank">Gaze locking: passive eye contact detection for human-object interaction</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Columbia University</td><td>United States</td><td>40.84198360</td><td>-73.94368971</td><td>70%</td><td>79</td><td>55</td><td>24</td><td>0</td><td>49</td><td>34</td></tr><tr><td>08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7</td><td>kin_face</td><td>UB KinFace</td><td><a href="papers/08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7.html" target="_blank">Understanding Kin Relationships in a Photo</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Multimedia</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>94</td><td>55</td><td>39</td><td>1</td><td>33</td><td>61</td></tr><tr><td>2a4bbee0b4cf52d5aadbbc662164f7efba89566c</td><td>peta</td><td>PETA</td><td><a href="papers/2a4bbee0b4cf52d5aadbbc662164f7efba89566c.html" target="_blank">Pedestrian Attribute Recognition At Far Distance</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>62%</td><td>88</td><td>55</td><td>33</td><td>1</td><td>50</td><td>36</td></tr><tr><td>3394168ff0719b03ff65bcea35336a76b21fe5e4</td><td>penn_fudan</td><td>Penn Fudan</td><td><a href="papers/3394168ff0719b03ff65bcea35336a76b21fe5e4.html" target="_blank">Object Detection Combining Recognition and Segmentation</a></td><td><a href="https://pdfs.semanticscholar.org/3394/168ff0719b03ff65bcea35336a76b21fe5e4.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>105</td><td>53</td><td>52</td><td>9</td><td>58</td><td>43</td></tr><tr><td>4df3143922bcdf7db78eb91e6b5359d6ada004d2</td><td>cfd</td><td>CFD</td><td><a href="papers/4df3143922bcdf7db78eb91e6b5359d6ada004d2.html" target="_blank">The Chicago face database: A free stimulus set of faces and norming data.</a></td><td><a href="https://pdfs.semanticscholar.org/4df3/143922bcdf7db78eb91e6b5359d6ada004d2.pdf" target="_blank">[pdf]</a></td><td>Behavior research methods</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>99</td><td>52</td><td>47</td><td>1</td><td>73</td><td>21</td></tr><tr><td>0c4a139bb87c6743c7905b29a3cfec27a5130652</td><td>feret</td><td>FERET</td><td><a href="papers/0c4a139bb87c6743c7905b29a3cfec27a5130652.html" target="_blank">The FERET Verification Testing Protocol for Face Recognition Algorithms</a></td><td><a href="https://pdfs.semanticscholar.org/8d2a/1c768fce6f71584dd993fb97e7b6419aaf60.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>115</td><td>49</td><td>66</td><td>8</td><td>75</td><td>37</td></tr><tr><td>3cd40bfa1ff193a96bde0207e5140a399476466c</td><td>tvhi</td><td>TVHI</td><td><a href="papers/3cd40bfa1ff193a96bde0207e5140a399476466c.html" target="_blank">High Five: Recognising human interactions in TV shows</a></td><td><a href="https://pdfs.semanticscholar.org/3cd4/0bfa1ff193a96bde0207e5140a399476466c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>98</td><td>49</td><td>49</td><td>10</td><td>66</td><td>28</td></tr><tr><td>5194cbd51f9769ab25260446b4fa17204752e799</td><td>violent_flows</td><td>Violent Flows</td><td><a href="papers/5194cbd51f9769ab25260446b4fa17204752e799.html" target="_blank">Violent flows: Real-time detection of violent crowd behavior</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops</td><td>edu</td><td>Open University of Israel</td><td>Israel</td><td>32.77824165</td><td>34.99565673</td><td>55%</td><td>88</td><td>48</td><td>40</td><td>6</td><td>45</td><td>44</td></tr><tr><td>2160788824c4c29ffe213b2cbeb3f52972d73f37</td><td>3d_rma</td><td>3D-RMA</td><td><a href="papers/2160788824c4c29ffe213b2cbeb3f52972d73f37.html" target="_blank">Automatic 3D face authentication</a></td><td><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.31.9190&rep=rep1&type=pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>100</td><td>47</td><td>53</td><td>8</td><td>63</td><td>36</td></tr><tr><td>7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22</td><td>lfw</td><td>LFW</td><td><a href="papers/7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22.html" target="_blank">Labeled Faces in the Wild: A Survey</a></td><td><a href="https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>109</td><td>47</td><td>62</td><td>9</td><td>66</td><td>43</td></tr><tr><td>2ce2560cf59db59ce313bbeb004e8ce55c5ce928</td><td>texas_3dfrd</td><td>Texas 3DFRD</td><td><a href="papers/2ce2560cf59db59ce313bbeb004e8ce55c5ce928.html" target="_blank">Anthropometric 3D Face Recognition</a></td><td><a href="http://live.ece.utexas.edu/publications/2010/sg_ijcv_june10.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>91</td><td>47</td><td>44</td><td>5</td><td>60</td><td>31</td></tr><tr><td>0b440695c822a8e35184fb2f60dcdaa8a6de84ae</td><td>kinectface</td><td>KinectFaceDB</td><td><a href="papers/0b440695c822a8e35184fb2f60dcdaa8a6de84ae.html" target="_blank">KinectFaceDB: A Kinect Database for Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Systems, Man, and Cybernetics: Systems</td><td>edu</td><td>University of North Carolina at Chapel Hill</td><td>United States</td><td>35.91139710</td><td>-79.05045290</td><td>56%</td><td>82</td><td>46</td><td>36</td><td>6</td><td>28</td><td>52</td></tr><tr><td>0dc11a37cadda92886c56a6fb5191ded62099c28</td><td>stickmen_family</td><td>We Are Family Stickmen</td><td><a href="papers/0dc11a37cadda92886c56a6fb5191ded62099c28.html" target="_blank">We Are Family: Joint Pose Estimation of Multiple Persons</a></td><td><a href="http://eprints.pascal-network.org/archive/00007964/01/eichner10eccv.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>78</td><td>45</td><td>33</td><td>6</td><td>54</td><td>23</td></tr><tr><td>7f23a4bb0c777dd72cca7665a5f370ac7980217e</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/7f23a4bb0c777dd72cca7665a5f370ac7980217e.html" target="_blank">Improving Person Re-identification by Attribute and Identity Learning</a></td><td><a href="https://arxiv.org/pdf/1703.07220.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>87</td><td>44</td><td>43</td><td>0</td><td>43</td><td>42</td></tr><tr><td>2edb87494278ad11641b6cf7a3f8996de12b8e14</td><td>qmul_grid</td><td>GRID</td><td><a href="papers/2edb87494278ad11641b6cf7a3f8996de12b8e14.html" target="_blank">Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding</a></td><td><a href="http://www.eecs.qmul.ac.uk/~ccloy/files/ijcv_2010.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td>edu</td><td>Queen Mary University of London</td><td>United Kingdom</td><td>51.52472720</td><td>-0.03931035</td><td>52%</td><td>84</td><td>44</td><td>40</td><td>6</td><td>51</td><td>33</td></tr><tr><td>ae0aee03d946efffdc7af2362a42d3750e7dd48a</td><td>put_face</td><td>Put Face</td><td><a href="papers/ae0aee03d946efffdc7af2362a42d3750e7dd48a.html" target="_blank">The put face database</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>99</td><td>43</td><td>56</td><td>7</td><td>54</td><td>48</td></tr><tr><td>2bf8541199728262f78d4dced6fb91479b39b738</td><td>clothing_co_parsing</td><td>CCP</td><td><a href="papers/2bf8541199728262f78d4dced6fb91479b39b738.html" target="_blank">Clothing Co-parsing by Joint Image Segmentation and Labeling</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>70%</td><td>60</td><td>42</td><td>18</td><td>0</td><td>34</td><td>28</td></tr><tr><td>70c59dc3470ae867016f6ab0e008ac8ba03774a1</td><td>vgg_faces2</td><td>VGG Face2</td><td><a href="papers/70c59dc3470ae867016f6ab0e008ac8ba03774a1.html" target="_blank">VGGFace2: A Dataset for Recognising Faces across Pose and Age</a></td><td><a href="https://arxiv.org/pdf/1710.08092.pdf" target="_blank">[pdf]</a></td><td>2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>83</td><td>41</td><td>42</td><td>6</td><td>61</td><td>20</td></tr><tr><td>636b8ffc09b1b23ff714ac8350bb35635e49fa3c</td><td>caltech_10k_web_faces</td><td>Caltech 10K Web Faces</td><td><a href="papers/636b8ffc09b1b23ff714ac8350bb35635e49fa3c.html" target="_blank">Pruning training sets for learning of object categories</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)</td><td></td><td></td><td></td><td></td><td></td><td>63%</td><td>63</td><td>40</td><td>23</td><td>5</td><td>42</td><td>20</td></tr><tr><td>c900e0ad4c95948baaf0acd8449fde26f9b4952a</td><td>emotio_net</td><td>EmotioNet Database</td><td><a href="papers/c900e0ad4c95948baaf0acd8449fde26f9b4952a.html" target="_blank">EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>86</td><td>40</td><td>46</td><td>7</td><td>54</td><td>29</td></tr><tr><td>4793f11fbca4a7dba898b9fff68f70d868e2497c</td><td>kin_face</td><td>UB KinFace</td><td><a href="papers/4793f11fbca4a7dba898b9fff68f70d868e2497c.html" target="_blank">Kinship Verification through Transfer Learning</a></td><td><a href="https://pdfs.semanticscholar.org/4793/f11fbca4a7dba898b9fff68f70d868e2497c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>71</td><td>40</td><td>31</td><td>2</td><td>29</td><td>42</td></tr><tr><td>47aeb3b82f54b5ae8142b4bdda7b614433e69b9a</td><td>am_fed</td><td>AM-FED</td><td><a href="papers/47aeb3b82f54b5ae8142b4bdda7b614433e69b9a.html" target="_blank">Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>83</td><td>37</td><td>46</td><td>6</td><td>43</td><td>39</td></tr><tr><td>0a85bdff552615643dd74646ac881862a7c7072d</td><td>pipa</td><td>PIPA</td><td><a href="papers/0a85bdff552615643dd74646ac881862a7c7072d.html" target="_blank">Beyond frontal faces: Improving Person Recognition using multiple cues</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td>company</td><td>Facebook</td><td>United States</td><td>37.39367170</td><td>-122.08072620</td><td>69%</td><td>54</td><td>37</td><td>16</td><td>1</td><td>41</td><td>12</td></tr><tr><td>6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c</td><td>afad</td><td>AFAD</td><td><a href="papers/6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c.html" target="_blank">Ordinal Regression with Multiple Output CNN for Age Estimation</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>78</td><td>35</td><td>43</td><td>8</td><td>44</td><td>31</td></tr><tr><td>0b84f07af44f964817675ad961def8a51406dd2e</td><td>prw</td><td>PRW</td><td><a href="papers/0b84f07af44f964817675ad961def8a51406dd2e.html" target="_blank">Person Re-identification in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>77</td><td>35</td><td>42</td><td>2</td><td>47</td><td>27</td></tr><tr><td>31de9b3dd6106ce6eec9a35991b2b9083395fd0b</td><td>feret</td><td>FERET</td><td><a href="papers/31de9b3dd6106ce6eec9a35991b2b9083395fd0b.html" target="_blank">FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results</a></td><td><a href="https://pdfs.semanticscholar.org/31de/9b3dd6106ce6eec9a35991b2b9083395fd0b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>75</td><td>34</td><td>41</td><td>5</td><td>54</td><td>20</td></tr><tr><td>fcc6fe6007c322641796cb8792718641856a22a7</td><td>miw</td><td>MIW</td><td><a href="papers/fcc6fe6007c322641796cb8792718641856a22a7.html" target="_blank">Automatic facial makeup detection with application in face recognition</a></td><td><span class="gray">[pdf]</a></td><td>2013 International Conference on Biometrics (ICB)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>69%</td><td>49</td><td>34</td><td>15</td><td>1</td><td>19</td><td>29</td></tr><tr><td>f1af714b92372c8e606485a3982eab2f16772ad8</td><td>mug_faces</td><td>MUG Faces</td><td><a href="papers/f1af714b92372c8e606485a3982eab2f16772ad8.html" target="_blank">The MUG facial expression database</a></td><td><span class="gray">[pdf]</a></td><td>11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10</td><td>edu</td><td>Aristotle University of Thessaloniki</td><td>Greece</td><td>40.62984145</td><td>22.95889350</td><td>41%</td><td>82</td><td>34</td><td>48</td><td>5</td><td>34</td><td>47</td></tr><tr><td>fcc6fe6007c322641796cb8792718641856a22a7</td><td>youtube_makeup</td><td>YMU</td><td><a href="papers/fcc6fe6007c322641796cb8792718641856a22a7.html" target="_blank">Automatic facial makeup detection with application in face recognition</a></td><td><span class="gray">[pdf]</a></td><td>2013 International Conference on Biometrics (ICB)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>69%</td><td>49</td><td>34</td><td>15</td><td>1</td><td>19</td><td>29</td></tr><tr><td>51eba481dac6b229a7490f650dff7b17ce05df73</td><td>imsitu</td><td>imSitu</td><td><a href="papers/51eba481dac6b229a7490f650dff7b17ce05df73.html" target="_blank">Situation Recognition: Visual Semantic Role Labeling for Image Understanding</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>62%</td><td>52</td><td>32</td><td>20</td><td>1</td><td>46</td><td>6</td></tr><tr><td>8be57cdad86fdf8c8290df4ca3149592f3c46dd3</td><td>m2vts</td><td>m2vts</td><td><a href="papers/8be57cdad86fdf8c8290df4ca3149592f3c46dd3.html" target="_blank">The M2VTS Multimodal Face Database (Release 1.00)</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>73</td><td>32</td><td>41</td><td>2</td><td>39</td><td>33</td></tr><tr><td>37d6f0eb074d207b53885bd2eb78ccc8a04be597</td><td>vmu</td><td>VMU</td><td><a href="papers/37d6f0eb074d207b53885bd2eb78ccc8a04be597.html" target="_blank">Can facial cosmetics affect the matching accuracy of face recognition systems?</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>60%</td><td>53</td><td>32</td><td>21</td><td>0</td><td>19</td><td>31</td></tr><tr><td>37d6f0eb074d207b53885bd2eb78ccc8a04be597</td><td>youtube_makeup</td><td>YMU</td><td><a href="papers/37d6f0eb074d207b53885bd2eb78ccc8a04be597.html" target="_blank">Can facial cosmetics affect the matching accuracy of face recognition systems?</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>60%</td><td>53</td><td>32</td><td>21</td><td>0</td><td>19</td><td>31</td></tr><tr><td>f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44</td><td>pa_100k</td><td>PA-100K</td><td><a href="papers/f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44.html" target="_blank">HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>55</td><td>31</td><td>24</td><td>0</td><td>36</td><td>17</td></tr><tr><td>faf40ce28857aedf183e193486f5b4b0a8c478a2</td><td>iit_dehli_ear</td><td>IIT Dehli Ear</td><td><a href="papers/faf40ce28857aedf183e193486f5b4b0a8c478a2.html" target="_blank">Automated Human Identification Using Ear Imaging</a></td><td><a href="https://pdfs.semanticscholar.org/faf4/0ce28857aedf183e193486f5b4b0a8c478a2.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>38%</td><td>80</td><td>30</td><td>50</td><td>6</td><td>35</td><td>44</td></tr><tr><td>18858cc936947fc96b5c06bbe3c6c2faa5614540</td><td>pilot_parliament</td><td>PPB</td><td><a href="papers/18858cc936947fc96b5c06bbe3c6c2faa5614540.html" target="_blank">Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification</a></td><td><a href="http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>59</td><td>29</td><td>30</td><td>0</td><td>47</td><td>10</td></tr><tr><td>09d78009687bec46e70efcf39d4612822e61cb8c</td><td>raid</td><td>RAiD</td><td><a href="papers/09d78009687bec46e70efcf39d4612822e61cb8c.html" target="_blank">Consistent Re-identification in a Camera Network</a></td><td><a href="https://pdfs.semanticscholar.org/c27f/099e6e7e3f7f9979cbe9e0a5175fc5848ea0.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>49</td><td>29</td><td>20</td><td>5</td><td>34</td><td>13</td></tr><tr><td>4d58f886f5150b2d5e48fd1b5a49e09799bf895d</td><td>texas_3dfrd</td><td>Texas 3DFRD</td><td><a href="papers/4d58f886f5150b2d5e48fd1b5a49e09799bf895d.html" target="_blank">Texas 3D Face Recognition Database</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>66</td><td>29</td><td>37</td><td>3</td><td>40</td><td>27</td></tr><tr><td>16e8b0a1e8451d5f697b94c0c2b32a00abee1d52</td><td>umb</td><td>UMB</td><td><a href="papers/16e8b0a1e8451d5f697b94c0c2b32a00abee1d52.html" target="_blank">UMB-DB: A database of partially occluded 3D faces</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td></td><td></td><td></td><td></td><td></td><td>62%</td><td>47</td><td>29</td><td>18</td><td>2</td><td>22</td><td>24</td></tr><tr><td>356b431d4f7a2a0a38cf971c84568207dcdbf189</td><td>wider</td><td>WIDER</td><td><a href="papers/356b431d4f7a2a0a38cf971c84568207dcdbf189.html" target="_blank">Recognize complex events from static images by fusing deep channels</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>66%</td><td>44</td><td>29</td><td>15</td><td>1</td><td>29</td><td>15</td></tr><tr><td>3dc3f0b64ef80f573e3a5f96e456e52ee980b877</td><td>georgia_tech_face_database</td><td>Georgia Tech Face</td><td><a href="papers/3dc3f0b64ef80f573e3a5f96e456e52ee980b877.html" target="_blank">Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition</a></td><td><a href="http://www.researchgate.net/profile/Monson_Hayes/publication/221124512_Maximum_Likelihood_Training_of_the_Embedded_HMM_for_Face_Detection_and_Recognition/links/0deec53509be9d6f55000000.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>42%</td><td>67</td><td>28</td><td>39</td><td>4</td><td>29</td><td>28</td></tr><tr><td>79828e6e9f137a583082b8b5a9dfce0c301989b8</td><td>mapillary</td><td>Mapillary</td><td><a href="papers/79828e6e9f137a583082b8b5a9dfce0c301989b8.html" target="_blank">The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>61</td><td>28</td><td>33</td><td>0</td><td>43</td><td>16</td></tr><tr><td>8b2dd5c61b23ead5ae5508bb8ce808b5ea266730</td><td>10k_US_adult_faces</td><td>10K US Adult Faces</td><td><a href="papers/8b2dd5c61b23ead5ae5508bb8ce808b5ea266730.html" target="_blank">The intrinsic memorability of face photographs.</a></td><td><a href="https://pdfs.semanticscholar.org/8b2d/d5c61b23ead5ae5508bb8ce808b5ea266730.pdf" target="_blank">[pdf]</a></td><td>Journal of experimental psychology. General</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>52</td><td>27</td><td>25</td><td>2</td><td>36</td><td>14</td></tr><tr><td>9c23859ec7313f2e756a3e85575735e0c52249f4</td><td>facebook_100</td><td>Facebook100</td><td><a href="papers/9c23859ec7313f2e756a3e85575735e0c52249f4.html" target="_blank">Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td>edu</td><td>Harvard University</td><td>United States</td><td>42.36782045</td><td>-71.12666653</td><td>52%</td><td>52</td><td>27</td><td>25</td><td>3</td><td>38</td><td>13</td></tr><tr><td>9c23859ec7313f2e756a3e85575735e0c52249f4</td><td>pubfig_83</td><td>pubfig83</td><td><a href="papers/9c23859ec7313f2e756a3e85575735e0c52249f4.html" target="_blank">Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td>edu</td><td>Harvard University</td><td>United States</td><td>42.36782045</td><td>-71.12666653</td><td>52%</td><td>52</td><td>27</td><td>25</td><td>3</td><td>38</td><td>13</td></tr><tr><td>22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b</td><td>saivt</td><td>SAIVT SoftBio</td><td><a href="papers/22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b.html" target="_blank">A Database for Person Re-Identification in Multi-Camera Surveillance Networks</a></td><td><span class="gray">[pdf]</a></td><td>2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)</td><td></td><td></td><td></td><td></td><td></td><td>42%</td><td>65</td><td>27</td><td>38</td><td>7</td><td>45</td><td>20</td></tr><tr><td>070de852bc6eb275d7ca3a9cdde8f6be8795d1a3</td><td>d3dfacs</td><td>D3DFACS</td><td><a href="papers/070de852bc6eb275d7ca3a9cdde8f6be8795d1a3.html" target="_blank">A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling</a></td><td><span class="gray">[pdf]</a></td><td>2011 International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>50</td><td>25</td><td>25</td><td>5</td><td>31</td><td>18</td></tr><tr><td>298cbc3dfbbb3a20af4eed97906650a4ea1c29e0</td><td>ferplus</td><td>FER+</td><td><a href="papers/298cbc3dfbbb3a20af4eed97906650a4ea1c29e0.html" target="_blank">Training deep networks for facial expression recognition with crowd-sourced label distribution</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>71%</td><td>34</td><td>24</td><td>10</td><td>0</td><td>18</td><td>16</td></tr><tr><td>2161f6b7ee3c0acc81603b01dc0df689683577b9</td><td>large_scale_person_search</td><td>Large Scale Person Search</td><td><a href="papers/2161f6b7ee3c0acc81603b01dc0df689683577b9.html" target="_blank">End-to-End Deep Learning for Person Search</a></td><td><a href="https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>46</td><td>24</td><td>22</td><td>1</td><td>27</td><td>16</td></tr><tr><td>6f3c76b7c0bd8e1d122c6ea808a271fd4749c951</td><td>ward</td><td>WARD</td><td><a href="papers/6f3c76b7c0bd8e1d122c6ea808a271fd4749c951.html" target="_blank">Re-identify people in wide area camera network</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops</td><td>edu</td><td>University of Udine</td><td>Italy</td><td>46.08107230</td><td>13.21194740</td><td>40%</td><td>60</td><td>24</td><td>36</td><td>1</td><td>38</td><td>21</td></tr><tr><td>758d7e1be64cc668c59ef33ba8882c8597406e53</td><td>affectnet</td><td>AffectNet</td><td><a href="papers/758d7e1be64cc668c59ef33ba8882c8597406e53.html" target="_blank">AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild</a></td><td><a href="https://arxiv.org/pdf/1708.03985.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>37</td><td>22</td><td>15</td><td>0</td><td>25</td><td>11</td></tr><tr><td>1bd1645a629f1b612960ab9bba276afd4cf7c666</td><td>brainwash</td><td>Brainwash</td><td><a href="papers/1bd1645a629f1b612960ab9bba276afd4cf7c666.html" target="_blank">End-to-End People Detection in Crowded Scenes</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>42</td><td>21</td><td>21</td><td>1</td><td>19</td><td>19</td></tr><tr><td>47662d1a368daf70ba70ef2d59eb6209f98b675d</td><td>fia</td><td>CMU FiA</td><td><a href="papers/47662d1a368daf70ba70ef2d59eb6209f98b675d.html" target="_blank">The CMU Face In Action (FIA) Database</a></td><td><a href="https://pdfs.semanticscholar.org/4766/2d1a368daf70ba70ef2d59eb6209f98b675d.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>39%</td><td>54</td><td>21</td><td>33</td><td>5</td><td>40</td><td>16</td></tr><tr><td>fd8168f1c50de85bac58a8d328df0a50248b16ae</td><td>nd_2006</td><td>ND-2006</td><td><a href="papers/fd8168f1c50de85bac58a8d328df0a50248b16ae.html" target="_blank">Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems</td><td>edu</td><td>University of Notre Dame</td><td>United States</td><td>41.70456775</td><td>-86.23822026</td><td>60%</td><td>35</td><td>21</td><td>14</td><td>3</td><td>18</td><td>15</td></tr><tr><td>31b05f65405534a696a847dd19c621b7b8588263</td><td>umd_faces</td><td>UMD</td><td><a href="papers/31b05f65405534a696a847dd19c621b7b8588263.html" target="_blank">UMDFaces: An annotated face dataset for training deep networks</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Joint Conference on Biometrics (IJCB)</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>42</td><td>21</td><td>21</td><td>5</td><td>30</td><td>11</td></tr><tr><td>53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4</td><td>bp4d_plus</td><td>BP4D+</td><td><a href="papers/53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4.html" target="_blank">Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>48%</td><td>42</td><td>20</td><td>22</td><td>0</td><td>17</td><td>26</td></tr><tr><td>1c2802c2199b6d15ecefe7ba0c39bfe44363de38</td><td>youtube_poses</td><td>YouTube Pose</td><td><a href="papers/1c2802c2199b6d15ecefe7ba0c39bfe44363de38.html" target="_blank">Personalizing Human Video Pose Estimation</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>36</td><td>20</td><td>16</td><td>2</td><td>30</td><td>8</td></tr><tr><td>488e475eeb3bb39a145f23ede197cd3620f1d98a</td><td>apis</td><td>APiS1.0</td><td><a href="papers/488e475eeb3bb39a145f23ede197cd3620f1d98a.html" target="_blank">Pedestrian Attribute Classification in Surveillance: Database and Evaluation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision Workshops</td><td></td><td></td><td></td><td></td><td></td><td>68%</td><td>28</td><td>19</td><td>9</td><td>0</td><td>13</td><td>15</td></tr><tr><td>d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae</td><td>b3d_ac</td><td>B3D(AC)</td><td><a href="papers/d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae.html" target="_blank">A 3-D Audio-Visual Corpus of Affective Communication</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Multimedia</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>42</td><td>19</td><td>23</td><td>2</td><td>26</td><td>15</td></tr><tr><td>57fe081950f21ca03b5b375ae3e84b399c015861</td><td>cvc_01_barcelona</td><td>CVC-01</td><td><a href="papers/57fe081950f21ca03b5b375ae3e84b399c015861.html" target="_blank">Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>40%</td><td>47</td><td>19</td><td>28</td><td>1</td><td>23</td><td>24</td></tr><tr><td>28d4e027c7e90b51b7d8908fce68128d1964668a</td><td>megaface</td><td>MegaFace</td><td><a href="papers/28d4e027c7e90b51b7d8908fce68128d1964668a.html" target="_blank">Level Playing Field for Million Scale Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>39</td><td>19</td><td>20</td><td>2</td><td>29</td><td>9</td></tr><tr><td>41976ebc8ab76d9a6861487c97cc7fcbe3b6015f</td><td>moments_in_time</td><td>Moments in Time</td><td><a href="papers/41976ebc8ab76d9a6861487c97cc7fcbe3b6015f.html" target="_blank">Moments in Time Dataset: one million videos for event understanding</a></td><td><a href="https://arxiv.org/pdf/1801.03150.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>66%</td><td>29</td><td>19</td><td>10</td><td>2</td><td>27</td><td>2</td></tr><tr><td>488e475eeb3bb39a145f23ede197cd3620f1d98a</td><td>svs</td><td>SVS</td><td><a href="papers/488e475eeb3bb39a145f23ede197cd3620f1d98a.html" target="_blank">Pedestrian Attribute Classification in Surveillance: Database and Evaluation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision Workshops</td><td></td><td></td><td></td><td></td><td></td><td>68%</td><td>28</td><td>19</td><td>9</td><td>0</td><td>13</td><td>15</td></tr><tr><td>0ceda9dae8b9f322df65ca2ef02caca9758aec6f</td><td>casablanca</td><td>Casablanca</td><td><a href="papers/0ceda9dae8b9f322df65ca2ef02caca9758aec6f.html" target="_blank">Context-Aware CNNs for Person Head Detection</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>33</td><td>18</td><td>15</td><td>1</td><td>23</td><td>11</td></tr><tr><td>4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7</td><td>deep_fashion</td><td>DeepFashion</td><td><a href="papers/4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7.html" target="_blank">Fashion Landmark Detection in the Wild</a></td><td><a href="https://arxiv.org/pdf/1608.03049.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>69%</td><td>26</td><td>18</td><td>8</td><td>1</td><td>16</td><td>10</td></tr><tr><td>0ceda9dae8b9f322df65ca2ef02caca9758aec6f</td><td>hollywood_headset</td><td>HollywoodHeads</td><td><a href="papers/0ceda9dae8b9f322df65ca2ef02caca9758aec6f.html" target="_blank">Context-Aware CNNs for Person Head Detection</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>33</td><td>18</td><td>15</td><td>1</td><td>23</td><td>11</td></tr><tr><td>84fe5b4ac805af63206012d29523a1e033bc827e</td><td>awe_ears</td><td>AWE Ears</td><td><a href="papers/84fe5b4ac805af63206012d29523a1e033bc827e.html" target="_blank">Ear Recognition: More Than a Survey</a></td><td><a href="https://arxiv.org/pdf/1611.06203.pdf" target="_blank">[pdf]</a></td><td>Neurocomputing</td><td></td><td></td><td></td><td></td><td></td><td>65%</td><td>26</td><td>17</td><td>9</td><td>0</td><td>10</td><td>16</td></tr><tr><td>213a579af9e4f57f071b884aa872651372b661fd</td><td>bbc_pose</td><td>BBC Pose</td><td><a href="papers/213a579af9e4f57f071b884aa872651372b661fd.html" target="_blank">Automatic and Efficient Human Pose Estimation for Sign Language Videos</a></td><td><a href="http://tomas.pfister.fi/files/charles13ijcv.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>65%</td><td>26</td><td>17</td><td>9</td><td>1</td><td>16</td><td>11</td></tr><tr><td>20388099cc415c772926e47bcbbe554e133343d1</td><td>cafe</td><td>#N/A</td><td><a href="papers/20388099cc415c772926e47bcbbe554e133343d1.html" target="_blank">The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults</a></td><td><a href="https://pdfs.semanticscholar.org/2038/8099cc415c772926e47bcbbe554e133343d1.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>37</td><td>17</td><td>20</td><td>3</td><td>30</td><td>7</td></tr><tr><td>d178cde92ab3dc0dd2ebee5a76a33d556c39448b</td><td>jiku_mobile</td><td>Jiku Mobile Video Dataset</td><td><a href="papers/d178cde92ab3dc0dd2ebee5a76a33d556c39448b.html" target="_blank">The jiku mobile video dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>National University of Singapore</td><td>Singapore</td><td>1.29620180</td><td>103.77689944</td><td>71%</td><td>24</td><td>17</td><td>7</td><td>0</td><td>6</td><td>19</td></tr><tr><td>2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d</td><td>kin_face</td><td>UB KinFace</td><td><a href="papers/2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d.html" target="_blank">Genealogical face recognition based on UB KinFace database</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td>edu</td><td>SUNY Buffalo</td><td>United States</td><td>42.93362780</td><td>-78.88394479</td><td>55%</td><td>31</td><td>17</td><td>14</td><td>0</td><td>11</td><td>21</td></tr><tr><td>a0cc5f73a37723a6dd465924143f1cb4976d0169</td><td>msmt_17</td><td>MSMT17</td><td><a href="papers/a0cc5f73a37723a6dd465924143f1cb4976d0169.html" target="_blank">Person Transfer GAN to Bridge Domain Gap for Person Re-identification</a></td><td><span class="gray">[pdf]</a></td><td>2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>71%</td><td>24</td><td>17</td><td>7</td><td>1</td><td>20</td><td>4</td></tr><tr><td>e27ef52c641c2b5100a1b34fd0b819e84a31b4df</td><td>sarc3d</td><td>Sarc3D</td><td><a href="papers/e27ef52c641c2b5100a1b34fd0b819e84a31b4df.html" target="_blank">SARC3D: A New 3D Body Model for People Tracking and Re-identification</a></td><td><a href="https://pdfs.semanticscholar.org/e27e/f52c641c2b5100a1b34fd0b819e84a31b4df.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>34</td><td>17</td><td>17</td><td>3</td><td>21</td><td>12</td></tr><tr><td>4946ba10a4d5a7d0a38372f23e6622bd347ae273</td><td>coco_action</td><td>COCO-a</td><td><a href="papers/4946ba10a4d5a7d0a38372f23e6622bd347ae273.html" target="_blank">Describing Common Human Visual Actions in Images</a></td><td><a href="https://arxiv.org/pdf/1506.02203.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>64%</td><td>25</td><td>16</td><td>9</td><td>0</td><td>23</td><td>2</td></tr><tr><td>b6c293f0420f7e945b5916ae44269fb53e139275</td><td>erce</td><td>ERCe</td><td><a href="papers/b6c293f0420f7e945b5916ae44269fb53e139275.html" target="_blank">Video Synopsis by Heterogeneous Multi-source Correlation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>29</td><td>16</td><td>13</td><td>2</td><td>14</td><td>13</td></tr><tr><td>b6c293f0420f7e945b5916ae44269fb53e139275</td><td>tisi</td><td>Times Square Intersection</td><td><a href="papers/b6c293f0420f7e945b5916ae44269fb53e139275.html" target="_blank">Video Synopsis by Heterogeneous Multi-source Correlation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>29</td><td>16</td><td>13</td><td>2</td><td>14</td><td>13</td></tr><tr><td>1e3df3ca8feab0b36fd293fe689f93bb2aaac591</td><td>immediacy</td><td>Immediacy</td><td><a href="papers/1e3df3ca8feab0b36fd293fe689f93bb2aaac591.html" target="_blank">Multi-task Recurrent Neural Network for Immediacy Prediction</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>26</td><td>15</td><td>11</td><td>2</td><td>21</td><td>6</td></tr><tr><td>ea050801199f98a1c7c1df6769f23f658299a3ae</td><td>mpi_large</td><td>Large MPI Facial Expression</td><td><a href="papers/ea050801199f98a1c7c1df6769f23f658299a3ae.html" target="_blank">The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions</a></td><td><a href="https://pdfs.semanticscholar.org/ea05/0801199f98a1c7c1df6769f23f658299a3ae.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>33</td><td>15</td><td>18</td><td>4</td><td>29</td><td>4</td></tr><tr><td>ea050801199f98a1c7c1df6769f23f658299a3ae</td><td>mpi_small</td><td>Small MPI Facial Expression</td><td><a href="papers/ea050801199f98a1c7c1df6769f23f658299a3ae.html" target="_blank">The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions</a></td><td><a href="https://pdfs.semanticscholar.org/ea05/0801199f98a1c7c1df6769f23f658299a3ae.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>33</td><td>15</td><td>18</td><td>4</td><td>29</td><td>4</td></tr><tr><td>d818568838433a6d6831adde49a58cef05e0c89f</td><td>agedb</td><td>AgeDB</td><td><a href="papers/d818568838433a6d6831adde49a58cef05e0c89f.html" target="_blank">AgeDB: The First Manually Collected, In-the-Wild Age Database</a></td><td><a href="http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf" target="_blank">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>78%</td><td>18</td><td>14</td><td>4</td><td>0</td><td>14</td><td>3</td></tr><tr><td>0297448f3ed948e136bb06ceff10eccb34e5bb77</td><td>ilids_mcts</td><td>i-LIDS Multiple-Camera</td><td><a href="papers/0297448f3ed948e136bb06ceff10eccb34e5bb77.html" target="_blank">Imagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems</a></td><td><span class="gray">[pdf]</a></td><td>Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology</td><td></td><td></td><td></td><td></td><td></td><td>40%</td><td>35</td><td>14</td><td>21</td><td>2</td><td>21</td><td>14</td></tr><tr><td>5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725</td><td>50_people_one_question</td><td>50 People One Question</td><td><a href="papers/5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725.html" target="_blank">Merging Pose Estimates Across Space and Time</a></td><td><a href="http://authors.library.caltech.edu/41565/1/tracking_bmvc.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>81%</td><td>16</td><td>13</td><td>3</td><td>0</td><td>13</td><td>4</td></tr><tr><td>19d1b811df60f86cbd5e04a094b07f32fff7a32a</td><td>york_3d</td><td>UOY 3D Face Database</td><td><a href="papers/19d1b811df60f86cbd5e04a094b07f32fff7a32a.html" target="_blank">Three-dimensional face recognition: an eigensurface approach</a></td><td><span class="gray">[pdf]</a></td><td>2004 International Conference on Image Processing, 2004. ICIP '04.</td><td></td><td></td><td></td><td></td><td></td><td>34%</td><td>38</td><td>13</td><td>25</td><td>4</td><td>24</td><td>13</td></tr><tr><td>0cb2dd5f178e3a297a0c33068961018659d0f443</td><td>ijb_b</td><td>IJB-B</td><td><a href="papers/0cb2dd5f178e3a297a0c33068961018659d0f443.html" target="_blank">IARPA Janus Benchmark-B Face Dataset</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>34%</td><td>35</td><td>12</td><td>23</td><td>6</td><td>25</td><td>8</td></tr><tr><td>221c18238b829c12b911706947ab38fd017acef7</td><td>rap_pedestrian</td><td>RAP</td><td><a href="papers/221c18238b829c12b911706947ab38fd017acef7.html" target="_blank">A Richly Annotated Dataset for Pedestrian Attribute Recognition</a></td><td><a href="https://arxiv.org/pdf/1603.07054.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>26</td><td>12</td><td>14</td><td>0</td><td>16</td><td>10</td></tr><tr><td>774cbb45968607a027ae4729077734db000a1ec5</td><td>urban_tribes</td><td>Urban Tribes</td><td><a href="papers/774cbb45968607a027ae4729077734db000a1ec5.html" target="_blank">From Bikers to Surfers: Visual Recognition of Urban Tribes</a></td><td><a href="http://vision.cornell.edu/se3/wp-content/uploads/2014/09/utribes_bmvc13_final.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>67%</td><td>18</td><td>12</td><td>6</td><td>1</td><td>12</td><td>6</td></tr><tr><td>44d23df380af207f5ac5b41459c722c87283e1eb</td><td>wider_attribute</td><td>WIDER Attribute</td><td><a href="papers/44d23df380af207f5ac5b41459c722c87283e1eb.html" target="_blank">Human Attribute Recognition by Deep Hierarchical Contexts</a></td><td><a href="https://pdfs.semanticscholar.org/8e28/07f2dd53b03a759e372e07f7191cae65c9fd.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>67%</td><td>18</td><td>12</td><td>6</td><td>0</td><td>14</td><td>4</td></tr><tr><td>45e616093a92e5f1e61a7c6037d5f637aa8964af</td><td>malf</td><td>MALF</td><td><a href="papers/45e616093a92e5f1e61a7c6037d5f637aa8964af.html" target="_blank">Fine-grained evaluation on face detection in the wild</a></td><td><span class="gray">[pdf]</a></td><td>2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</td><td></td><td></td><td></td><td></td><td></td><td>65%</td><td>17</td><td>11</td><td>6</td><td>0</td><td>12</td><td>5</td></tr><tr><td>4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06</td><td>distance_nighttime</td><td>Long Distance Heterogeneous Face</td><td><a href="papers/4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06.html" target="_blank">Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching</a></td><td><a href="https://pdfs.semanticscholar.org/4156/b7e88f2e0ab0a7c095b9bab199ae2b23bd06.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>22</td><td>10</td><td>12</td><td>3</td><td>11</td><td>10</td></tr><tr><td>64e0690dd176a93de9d4328f6e31fc4afe1e7536</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/64e0690dd176a93de9d4328f6e31fc4afe1e7536.html" target="_blank">Tracking Multiple People Online and in Real Time</a></td><td><a href="https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>23</td><td>10</td><td>13</td><td>2</td><td>12</td><td>10</td></tr><tr><td>ca3e88d87e1344d076c964ea89d91a75c417f5ee</td><td>imfdb</td><td>IMFDB</td><td><a href="papers/ca3e88d87e1344d076c964ea89d91a75c417f5ee.html" target="_blank">Indian Movie Face Database: A benchmark for face recognition under wide variations</a></td><td><span class="gray">[pdf]</a></td><td>2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)</td><td>edu</td><td>BVBCET, Hubli, India</td><td>India</td><td>15.36883320</td><td>75.12137960</td><td>59%</td><td>17</td><td>10</td><td>7</td><td>0</td><td>11</td><td>5</td></tr><tr><td>2a171f8d14b6b8735001a11c217af9587d095848</td><td>social_relation</td><td>Social Relation</td><td><a href="papers/2a171f8d14b6b8735001a11c217af9587d095848.html" target="_blank">Learning Social Relation Traits from Face Images</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>23</td><td>10</td><td>13</td><td>4</td><td>16</td><td>7</td></tr><tr><td>71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6</td><td>umd_faces</td><td>UMD</td><td><a href="papers/71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6.html" target="_blank">The Do’s and Don’ts for CNN-Based Face Verification</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision Workshops (ICCVW)</td><td></td><td></td><td></td><td></td><td></td><td>38%</td><td>26</td><td>10</td><td>16</td><td>3</td><td>16</td><td>8</td></tr><tr><td>25474c21613607f6bb7687a281d5f9d4ffa1f9f3</td><td>faceplace</td><td>Face Place</td><td><a href="papers/25474c21613607f6bb7687a281d5f9d4ffa1f9f3.html" target="_blank">Recognizing disguised faces</a></td><td><a href="https://pdfs.semanticscholar.org/d936/7ceb0be378c3a9ddf7cb741c678c1a3c574c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>31%</td><td>29</td><td>9</td><td>20</td><td>0</td><td>18</td><td>10</td></tr><tr><td>a8d0b149c2eadaa02204d3e4356fbc8eccf3b315</td><td>hi4d_adsip</td><td>Hi4D-ADSIP</td><td><a href="papers/a8d0b149c2eadaa02204d3e4356fbc8eccf3b315.html" target="_blank">Hi4D-ADSIP 3-D dynamic facial articulation database</a></td><td><span class="gray">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>15</td><td>9</td><td>6</td><td>1</td><td>4</td><td>11</td></tr><tr><td>2f43b614607163abf41dfe5d17ef6749a1b61304</td><td>hrt_transgender</td><td>HRT Transgender</td><td><a href="papers/2f43b614607163abf41dfe5d17ef6749a1b61304.html" target="_blank">Investigating the Periocular-Based Face Recognition Across Gender Transformation</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Information Forensics and Security</td><td>edu</td><td>University of North Carolina at Wilmington</td><td>United States</td><td>34.22498270</td><td>-77.86907744</td><td>69%</td><td>13</td><td>9</td><td>4</td><td>0</td><td>6</td><td>8</td></tr><tr><td>bd26dabab576adb6af30484183c9c9c8379bf2e0</td><td>scut_fbp</td><td>SCUT-FBP</td><td><a href="papers/bd26dabab576adb6af30484183c9c9c8379bf2e0.html" target="_blank">SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Systems, Man, and Cybernetics</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>19</td><td>9</td><td>10</td><td>2</td><td>6</td><td>13</td></tr><tr><td>2624d84503bc2f8e190e061c5480b6aa4d89277a</td><td>afew_va</td><td>AFEW-VA</td><td><a href="papers/2624d84503bc2f8e190e061c5480b6aa4d89277a.html" target="_blank">AFEW-VA database for valence and arousal estimation in-the-wild</a></td><td><a href="https://ibug.doc.ic.ac.uk/media/uploads/documents/afew-va.pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>18</td><td>8</td><td>10</td><td>0</td><td>12</td><td>5</td></tr><tr><td>4e6ee936eb50dd032f7138702fa39b7c18ee8907</td><td>dartmouth_children</td><td>Dartmouth Children</td><td><a href="papers/4e6ee936eb50dd032f7138702fa39b7c18ee8907.html" target="_blank">The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set</a></td><td><a href="https://pdfs.semanticscholar.org/4e6e/e936eb50dd032f7138702fa39b7c18ee8907.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>38%</td><td>21</td><td>8</td><td>13</td><td>2</td><td>18</td><td>3</td></tr><tr><td>0f0fcf041559703998abf310e56f8a2f90ee6f21</td><td>feret</td><td>FERET</td><td><a href="papers/0f0fcf041559703998abf310e56f8a2f90ee6f21.html" target="_blank">The FERET Evaluation Methodology for Face-Recognition Algorithms</a></td><td><a href="https://pdfs.semanticscholar.org/5099/7a5605c1f61e09e9a96789ed7495be6625aa.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>28%</td><td>29</td><td>8</td><td>21</td><td>3</td><td>18</td><td>9</td></tr><tr><td>c570d1247e337f91e555c3be0e8c8a5aba539d9f</td><td>mcgill</td><td>McGill Real World</td><td><a href="papers/c570d1247e337f91e555c3be0e8c8a5aba539d9f.html" target="_blank">Robust semi-automatic head pose labeling for real-world face video sequences</a></td><td><span class="gray">[pdf]</a></td><td>Multimedia Tools and Applications</td><td>edu</td><td>McGill University</td><td>Canada</td><td>45.50397610</td><td>-73.57496870</td><td>44%</td><td>18</td><td>8</td><td>10</td><td>0</td><td>13</td><td>7</td></tr><tr><td>041d3eedf5e45ce5c5229f0181c5c576ed1fafd6</td><td>ucf_selfie</td><td>UCF Selfie</td><td><a href="papers/041d3eedf5e45ce5c5229f0181c5c576ed1fafd6.html" target="_blank">How to Take a Good Selfie?</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>73%</td><td>11</td><td>8</td><td>3</td><td>0</td><td>7</td><td>5</td></tr><tr><td>a94cae786d515d3450d48267e12ca954aab791c4</td><td>yawdd</td><td>YawDD</td><td><a href="papers/a94cae786d515d3450d48267e12ca954aab791c4.html" target="_blank">YawDD: a yawning detection dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>15</td><td>8</td><td>7</td><td>1</td><td>2</td><td>13</td></tr><tr><td>6403117f9c005ae81f1e8e6d1302f4a045e3d99d</td><td>alert_airport</td><td>ALERT Airport</td><td><a href="papers/6403117f9c005ae81f1e8e6d1302f4a045e3d99d.html" target="_blank">A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>35%</td><td>20</td><td>7</td><td>13</td><td>0</td><td>9</td><td>11</td></tr><tr><td>2b926b3586399d028b46315d7d9fb9d879e4f79c</td><td>frav3d</td><td>FRAV3D</td><td><a href="papers/2b926b3586399d028b46315d7d9fb9d879e4f79c.html" target="_blank">Multimodal 2D, 2.5D & 3D Face Verification</a></td><td><span class="gray">[pdf]</a></td><td>2006 International Conference on Image Processing</td><td>edu</td><td>Universidad Rey Juan Carlos, Spain</td><td>Spain</td><td>40.33586610</td><td>-3.87694320</td><td>50%</td><td>14</td><td>7</td><td>7</td><td>0</td><td>2</td><td>12</td></tr><tr><td>2cd7821fcf5fae53a185624f7eeda007434ae037</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/2cd7821fcf5fae53a185624f7eeda007434ae037.html" target="_blank">Exploring the geo-dependence of human face appearance</a></td><td><a href="http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf" target="_blank">[pdf]</a></td><td>IEEE Winter Conference on Applications of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>88%</td><td>8</td><td>7</td><td>1</td><td>0</td><td>5</td><td>3</td></tr><tr><td>2cd7821fcf5fae53a185624f7eeda007434ae037</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/2cd7821fcf5fae53a185624f7eeda007434ae037.html" target="_blank">Exploring the geo-dependence of human face appearance</a></td><td><a href="http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf" target="_blank">[pdf]</a></td><td>IEEE Winter Conference on Applications of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>88%</td><td>8</td><td>7</td><td>1</td><td>0</td><td>5</td><td>3</td></tr><tr><td>b71d1aa90dcbe3638888725314c0d56640c1fef1</td><td>ifdb</td><td>IFDB</td><td><a href="papers/b71d1aa90dcbe3638888725314c0d56640c1fef1.html" target="_blank">Iranian Face Database with age, pose and expression</a></td><td><span class="gray">[pdf]</a></td><td>2007 International Conference on Machine Vision</td><td>edu</td><td>Islamic Azad University</td><td>Iran</td><td>34.84529990</td><td>48.55962120</td><td>30%</td><td>23</td><td>7</td><td>16</td><td>2</td><td>14</td><td>9</td></tr><tr><td>4563b46d42079242f06567b3f2e2f7a80cb3befe</td><td>vadana</td><td>VADANA</td><td><a href="papers/4563b46d42079242f06567b3f2e2f7a80cb3befe.html" target="_blank">VADANA: A dense dataset for facial image analysis</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td>edu</td><td>University of Delaware</td><td>United States</td><td>39.68103280</td><td>-75.75401840</td><td>47%</td><td>15</td><td>7</td><td>8</td><td>0</td><td>5</td><td>10</td></tr><tr><td>060820f110a72cbf02c14a6d1085bd6e1d994f6a</td><td>caltech_crp</td><td>Caltech CRP</td><td><a href="papers/060820f110a72cbf02c14a6d1085bd6e1d994f6a.html" target="_blank">Fine-grained classification of pedestrians in video: Benchmark and state of the art</a></td><td><a href="https://arxiv.org/pdf/1605.06177.pdf" target="_blank">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>35%</td><td>17</td><td>6</td><td>11</td><td>0</td><td>9</td><td>8</td></tr><tr><td>8d5998cd984e7cce307da7d46f155f9db99c6590</td><td>chalearn</td><td>ChaLearn</td><td><a href="papers/8d5998cd984e7cce307da7d46f155f9db99c6590.html" target="_blank">ChaLearn looking at people: A review of events and resources</a></td><td><span class="gray">[pdf]</a></td><td>2017 International Joint Conference on Neural Networks (IJCNN)</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>13</td><td>6</td><td>7</td><td>1</td><td>8</td><td>4</td></tr><tr><td>22f656d0f8426c84a33a267977f511f127bfd7f3</td><td>expw</td><td>ExpW</td><td><a href="papers/22f656d0f8426c84a33a267977f511f127bfd7f3.html" target="_blank">From Facial Expression Recognition to Interpersonal Relation Prediction</a></td><td><a href="https://arxiv.org/pdf/1609.06426.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>11</td><td>6</td><td>5</td><td>0</td><td>5</td><td>4</td></tr><tr><td>7f4040b482d16354d5938c1d1b926b544652bf5b</td><td>nova_emotions</td><td>Novaemötions Dataset</td><td><a href="papers/7f4040b482d16354d5938c1d1b926b544652bf5b.html" target="_blank">Competitive affective gaming: winning with a smile</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Universidade NOVA de Lisboa, Caparica, Portugal</td><td>Portugal</td><td>38.66096400</td><td>-9.20581300</td><td>67%</td><td>9</td><td>6</td><td>3</td><td>0</td><td>5</td><td>4</td></tr><tr><td>1a40092b493c6b8840257ab7f96051d1a4dbfeb2</td><td>sports_videos_in_the_wild</td><td>SVW</td><td><a href="papers/1a40092b493c6b8840257ab7f96051d1a4dbfeb2.html" target="_blank">Sports Videos in the Wild (SVW): A video dataset for sports analysis</a></td><td><span class="gray">[pdf]</a></td><td>2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</td><td></td><td></td><td></td><td></td><td></td><td>86%</td><td>7</td><td>6</td><td>1</td><td>1</td><td>5</td><td>2</td></tr><tr><td>633c851ebf625ad7abdda2324e9de093cf623141</td><td>appa_real</td><td>APPA-REAL</td><td><a href="papers/633c851ebf625ad7abdda2324e9de093cf623141.html" target="_blank">Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database</a></td><td><span class="gray">[pdf]</a></td><td>2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>10</td><td>5</td><td>5</td><td>0</td><td>8</td><td>3</td></tr><tr><td>4af89578ac237278be310f7660a408b03f12d603</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/4af89578ac237278be310f7660a408b03f12d603.html" target="_blank">Large-scale geo-facial image analysis</a></td><td><a href="https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf" target="_blank">[pdf]</a></td><td>EURASIP J. Image and Video Processing</td><td></td><td></td><td></td><td></td><td></td><td>83%</td><td>6</td><td>5</td><td>1</td><td>0</td><td>4</td><td>2</td></tr><tr><td>8f02ec0be21461fbcedf51d864f944cfc42c875f</td><td>hda_plus</td><td>HDA+</td><td><a href="papers/8f02ec0be21461fbcedf51d864f944cfc42c875f.html" target="_blank">The HDA+ Data Set for Research on Fully Automated Re-identification Systems</a></td><td><a href="https://pdfs.semanticscholar.org/8f02/ec0be21461fbcedf51d864f944cfc42c875f.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>31%</td><td>16</td><td>5</td><td>11</td><td>2</td><td>10</td><td>6</td></tr><tr><td>57178b36c21fd7f4529ac6748614bb3374714e91</td><td>ijb_c</td><td>IJB-C</td><td><a href="papers/57178b36c21fd7f4529ac6748614bb3374714e91.html" target="_blank">IARPA Janus Benchmark - C: Face Dataset and Protocol</a></td><td><span class="gray">[pdf]</a></td><td>2018 International Conference on Biometrics (ICB)</td><td></td><td></td><td></td><td></td><td></td><td>36%</td><td>14</td><td>5</td><td>9</td><td>2</td><td>12</td><td>1</td></tr><tr><td>07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1</td><td>uccs</td><td>UCCS</td><td><a href="papers/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1.html" target="_blank">Large scale unconstrained open set face database</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td></td><td></td><td></td><td></td><td></td><td>83%</td><td>6</td><td>5</td><td>1</td><td>0</td><td>4</td><td>2</td></tr><tr><td>d4f1eb008eb80595bcfdac368e23ae9754e1e745</td><td>uccs</td><td>UCCS</td><td><a href="papers/d4f1eb008eb80595bcfdac368e23ae9754e1e745.html" target="_blank">Unconstrained Face Detection and Open-Set Face Recognition Challenge</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Joint Conference on Biometrics (IJCB)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>5</td><td>5</td><td>0</td><td>0</td><td>4</td><td>1</td></tr><tr><td>8627f019882b024aef92e4eb9355c499c733e5b7</td><td>used</td><td>USED Social Event Dataset</td><td><a href="papers/8627f019882b024aef92e4eb9355c499c733e5b7.html" target="_blank">USED: a large-scale social event detection dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>University of Trento</td><td>Italy</td><td>46.06588360</td><td>11.11598940</td><td>71%</td><td>7</td><td>5</td><td>2</td><td>0</td><td>3</td><td>4</td></tr><tr><td>56ae6d94fc6097ec4ca861f0daa87941d1c10b70</td><td>cmdp</td><td>CMDP</td><td><a href="papers/56ae6d94fc6097ec4ca861f0daa87941d1c10b70.html" target="_blank">Distance Estimation of an Unknown Person from a Portrait</a></td><td><a href="http://authors.library.caltech.edu/49084/13/FaceDistanceEstimation_RONCHI.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>9</td><td>4</td><td>5</td><td>0</td><td>6</td><td>3</td></tr><tr><td>4b4106614c1d553365bad75d7866bff0de6056ed</td><td>ufi</td><td>UFI</td><td><a href="papers/4b4106614c1d553365bad75d7866bff0de6056ed.html" target="_blank">Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions</a></td><td><a href="http://home.zcu.cz/~pkral/papers/kral_micai15.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>33%</td><td>12</td><td>4</td><td>8</td><td>0</td><td>4</td><td>6</td></tr><tr><td>563c940054e4b456661762c1ab858e6f730c3159</td><td>data_61</td><td>Data61 Pedestrian</td><td><a href="papers/563c940054e4b456661762c1ab858e6f730c3159.html" target="_blank">A Multi-modal Graphical Model for Scene Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Winter Conference on Applications of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>8</td><td>4</td><td>4</td><td>0</td><td>5</td><td>3</td></tr><tr><td>287ddcb3db5562235d83aee318f318b8d5e43fb1</td><td>erce</td><td>ERCe</td><td><a href="papers/287ddcb3db5562235d83aee318f318b8d5e43fb1.html" target="_blank">Learning from Multiple Sources for Video Summarisation</a></td><td><a href="https://arxiv.org/pdf/1501.03069.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>7</td><td>4</td><td>3</td><td>0</td><td>4</td><td>3</td></tr><tr><td>dd65f71dac86e36eecbd3ed225d016c3336b4a13</td><td>families_in_the_wild</td><td>FIW</td><td><a href="papers/dd65f71dac86e36eecbd3ed225d016c3336b4a13.html" target="_blank">Visual Kinship Recognition of Families in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td>edu</td><td>University of Massachusetts Dartmouth</td><td>United States</td><td>41.62772475</td><td>-71.00724501</td><td>80%</td><td>5</td><td>4</td><td>1</td><td>0</td><td>2</td><td>3</td></tr><tr><td>137aa2f891d474fce1e7a1d1e9b3aefe21e22b34</td><td>hrt_transgender</td><td>HRT Transgender</td><td><a href="papers/137aa2f891d474fce1e7a1d1e9b3aefe21e22b34.html" target="_blank">Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>7</td><td>4</td><td>3</td><td>1</td><td>3</td><td>5</td></tr><tr><td>2d45cfd838016a6e39f6b766ffe85acd649440c7</td><td>mcgill</td><td>McGill Real World</td><td><a href="papers/2d45cfd838016a6e39f6b766ffe85acd649440c7.html" target="_blank">Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos</a></td><td><span class="gray">[pdf]</a></td><td>Computer Vision and Image Understanding</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>8</td><td>4</td><td>4</td><td>1</td><td>5</td><td>3</td></tr><tr><td>23e824d1dfc33f3780dd18076284f07bd99f1c43</td><td>mifs</td><td>MIFS</td><td><a href="papers/23e824d1dfc33f3780dd18076284f07bd99f1c43.html" target="_blank">Spoofing faces using makeup: An investigative study</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)</td><td>edu</td><td>INRIA Méditerranée</td><td>France</td><td>43.61581310</td><td>7.06838000</td><td>67%</td><td>6</td><td>4</td><td>2</td><td>0</td><td>1</td><td>5</td></tr><tr><td>54983972aafc8e149259d913524581357b0f91c3</td><td>reseed</td><td>ReSEED</td><td><a href="papers/54983972aafc8e149259d913524581357b0f91c3.html" target="_blank">ReSEED: social event dEtection dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>67%</td><td>6</td><td>4</td><td>2</td><td>1</td><td>1</td><td>5</td></tr><tr><td>287ddcb3db5562235d83aee318f318b8d5e43fb1</td><td>tisi</td><td>Times Square Intersection</td><td><a href="papers/287ddcb3db5562235d83aee318f318b8d5e43fb1.html" target="_blank">Learning from Multiple Sources for Video Summarisation</a></td><td><a href="https://arxiv.org/pdf/1501.03069.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>7</td><td>4</td><td>3</td><td>0</td><td>4</td><td>3</td></tr><tr><td>7ebb153704706e457ab57b432793d2b6e5d12592</td><td>vgg_celebs_in_places</td><td>CIP</td><td><a href="papers/7ebb153704706e457ab57b432793d2b6e5d12592.html" target="_blank">Faces in Places: compound query retrieval</a></td><td><a href="https://pdfs.semanticscholar.org/7ebb/153704706e457ab57b432793d2b6e5d12592.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>80%</td><td>5</td><td>4</td><td>1</td><td>0</td><td>3</td><td>2</td></tr><tr><td>0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e</td><td>lag</td><td>LAG</td><td><a href="papers/0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e.html" target="_blank">Large age-gap face verification by feature injection in deep networks</a></td><td><a href="https://arxiv.org/pdf/1602.06149.pdf" target="_blank">[pdf]</a></td><td>Pattern Recognition Letters</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>7</td><td>3</td><td>4</td><td>0</td><td>3</td><td>4</td></tr><tr><td>9cc8cf0c7d7fa7607659921b6ff657e17e135ecc</td><td>mafa</td><td>MAsked FAces</td><td><a href="papers/9cc8cf0c7d7fa7607659921b6ff657e17e135ecc.html" target="_blank">Detecting Masked Faces in the Wild with LLE-CNNs</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>5</td><td>3</td><td>2</td><td>1</td><td>4</td><td>1</td></tr><tr><td>a7fe834a0af614ce6b50dc093132b031dd9a856b</td><td>market_1501</td><td>Market 1501</td><td><a href="papers/a7fe834a0af614ce6b50dc093132b031dd9a856b.html" target="_blank">Orientation Driven Bag of Appearances for Person Re-identification</a></td><td><a href="https://arxiv.org/pdf/1605.02464.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>7</td><td>3</td><td>4</td><td>0</td><td>4</td><td>4</td></tr><tr><td>a7fe834a0af614ce6b50dc093132b031dd9a856b</td><td>pku_reid</td><td>PKU-Reid</td><td><a href="papers/a7fe834a0af614ce6b50dc093132b031dd9a856b.html" target="_blank">Orientation Driven Bag of Appearances for Person Re-identification</a></td><td><a href="https://arxiv.org/pdf/1605.02464.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>7</td><td>3</td><td>4</td><td>0</td><td>4</td><td>4</td></tr><tr><td>9e5378e7b336c89735d3bb15cf67eff96f86d39a</td><td>precarious</td><td>Precarious</td><td><a href="papers/9e5378e7b336c89735d3bb15cf67eff96f86d39a.html" target="_blank">Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>21%</td><td>14</td><td>3</td><td>11</td><td>1</td><td>12</td><td>1</td></tr><tr><td>17b46e2dad927836c689d6787ddb3387c6159ece</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/17b46e2dad927836c689d6787ddb3387c6159ece.html" target="_blank">GeoFaceExplorer: exploring the geo-dependence of facial attributes</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>2</td><td>2</td><td>0</td><td>0</td><td>1</td><td>1</td></tr><tr><td>ad01687649d95cd5b56d7399a9603c4b8e2217d7</td><td>mrp_drone</td><td>MRP Drone</td><td><a href="papers/ad01687649d95cd5b56d7399a9603c4b8e2217d7.html" target="_blank">Investigating Open-World Person Re-identification Using a Drone</a></td><td><a href="https://pdfs.semanticscholar.org/ad01/687649d95cd5b56d7399a9603c4b8e2217d7.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>29%</td><td>7</td><td>2</td><td>5</td><td>1</td><td>5</td><td>2</td></tr><tr><td>f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f</td><td>pku_reid</td><td>PKU-Reid</td><td><a href="papers/f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f.html" target="_blank">Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification</a></td><td><a href="https://pdfs.semanticscholar.org/f6c8/d5e35d7e4d60a0104f233ac1a3ab757da53f.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>4</td><td>2</td><td>2</td><td>0</td><td>1</td><td>2</td></tr><tr><td>922e0a51a3b8c67c4c6ac09a577ff674cbd28b34</td><td>v47</td><td>V47</td><td><a href="papers/922e0a51a3b8c67c4c6ac09a577ff674cbd28b34.html" target="_blank">Re-identification of pedestrians with variable occlusion and scale</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td>edu</td><td>Kingston University</td><td>United Kingdom</td><td>51.42930860</td><td>-0.26840440</td><td>22%</td><td>9</td><td>2</td><td>7</td><td>2</td><td>5</td><td>4</td></tr><tr><td>4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461</td><td>3dddb_unconstrained</td><td>3D Dynamic</td><td><a href="papers/4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461.html" target="_blank">A 3D Dynamic Database for Unconstrained Face Recognition</a></td><td><a href="https://pdfs.semanticscholar.org/4d4b/b462c9f1d4e4ab1e4aa6a75cc0bc71b38461.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td></tr><tr><td>65355cbb581a219bd7461d48b3afd115263ea760</td><td>complex_activities</td><td>Ongoing Complex Activities</td><td><a href="papers/65355cbb581a219bd7461d48b3afd115263ea760.html" target="_blank">Recognition of ongoing complex activities by sequence prediction over a hierarchical label space</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Winter Conference on Applications of Computer Vision (WACV)</td><td></td><td></td><td></td><td></td><td></td><td>33%</td><td>3</td><td>1</td><td>2</td><td>0</td><td>3</td><td>0</td></tr><tr><td>e58dd160a76349d46f881bd6ddbc2921f08d1050</td><td>gfw</td><td>Grouping Face in the Wild</td><td><a href="papers/e58dd160a76349d46f881bd6ddbc2921f08d1050.html" target="_blank">Merge or Not? Learning to Group Faces via Imitation Learning</a></td><td><a href="https://arxiv.org/pdf/1707.03986.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>2</td><td>0</td></tr><tr><td>55c40cbcf49a0225e72d911d762c27bb1c2d14aa</td><td>ifad</td><td>IFAD</td><td><a href="papers/55c40cbcf49a0225e72d911d762c27bb1c2d14aa.html" target="_blank">Indian Face Age Database: A Database for Face Recognition with Age Variation</a></td><td><a href="https://pdfs.semanticscholar.org/025e/4cf3fd3fdeced91e9373b56ee14af7ca432c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>2</td><td>0</td></tr><tr><td>9e31e77f9543ab42474ba4e9330676e18c242e72</td><td>imdb_face</td><td>IMDb Face</td><td><a href="papers/9e31e77f9543ab42474ba4e9330676e18c242e72.html" target="_blank">The Devil of Face Recognition is in the Noise</a></td><td><a href="https://arxiv.org/pdf/1807.11649.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>company</td><td>SenseTime</td><td>China</td><td>39.99300800</td><td>116.32988200</td><td>17%</td><td>6</td><td>1</td><td>5</td><td>0</td><td>4</td><td>1</td></tr><tr><td>4eab317b5ac436a949849ed286baa3de2a541eef</td><td>laofiw</td><td>LAOFIW</td><td><a href="papers/4eab317b5ac436a949849ed286baa3de2a541eef.html" target="_blank">Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings</a></td><td><a href="https://arxiv.org/pdf/1809.02169.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>2</td><td>0</td></tr><tr><td>c72a2ea819df9b0e8cd267eebcc6528b8741e03d</td><td>megaage</td><td>MegaAge</td><td><a href="papers/c72a2ea819df9b0e8cd267eebcc6528b8741e03d.html" target="_blank">Quantifying Facial Age by Posterior of Age Comparisons</a></td><td><a href="https://arxiv.org/pdf/1708.09687.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>25%</td><td>4</td><td>1</td><td>3</td><td>1</td><td>4</td><td>0</td></tr><tr><td>578d4ad74818086bb64f182f72e2c8bd31e3d426</td><td>mr2</td><td>MR2</td><td><a href="papers/578d4ad74818086bb64f182f72e2c8bd31e3d426.html" target="_blank">The MR2: A multi-racial, mega-resolution database of facial stimuli.</a></td><td><a href="http://www.mpmlab.org/The%20MR2%20face%20database.pdf" target="_blank">[pdf]</a></td><td>Behavior research methods</td><td></td><td></td><td></td><td></td><td></td><td>14%</td><td>7</td><td>1</td><td>6</td><td>0</td><td>7</td><td>0</td></tr><tr><td>c06b13d0ec3f5c43e2782cd22542588e233733c3</td><td>nova_emotions</td><td>Novaemötions Dataset</td><td><a href="papers/c06b13d0ec3f5c43e2782cd22542588e233733c3.html" target="_blank">Crowdsourcing facial expressions for affective-interaction</a></td><td><span class="gray">[pdf]</a></td><td>Computer Vision and Image Understanding</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><td>22909dd19a0ec3b6065334cb5be5392cb24d839d</td><td>pets</td><td>PETS 2017</td><td><a href="papers/22909dd19a0ec3b6065334cb5be5392cb24d839d.html" target="_blank">PETS 2017: Dataset and Challenge</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>11%</td><td>9</td><td>1</td><td>8</td><td>0</td><td>1</td><td>8</td></tr><tr><td>2306b2a8fba28539306052764a77a0d0f5d1236a</td><td>qmul_surv_face</td><td>QMUL-SurvFace</td><td><a href="papers/2306b2a8fba28539306052764a77a0d0f5d1236a.html" target="_blank">Surveillance Face Recognition Challenge</a></td><td><a href="https://arxiv.org/pdf/1804.09691.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td>edu</td><td>Queen Mary University of London</td><td>United Kingdom</td><td>51.52472720</td><td>-0.03931035</td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><td>d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9</td><td>stair_actions</td><td>STAIR Action</td><td><a href="papers/d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9.html" target="_blank">STAIR Actions: A Video Dataset of Everyday Home Actions</a></td><td><a href="https://arxiv.org/pdf/1804.04326.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><td>3531332efe19be21e7401ba1f04570a142617236</td><td>ufdd</td><td>UFDD</td><td><a href="papers/3531332efe19be21e7401ba1f04570a142617236.html" target="_blank">Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results</a></td><td><a href="https://arxiv.org/pdf/1804.10275.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>25%</td><td>4</td><td>1</td><td>3</td><td>1</td><td>4</td><td>0</td></tr><tr><td>5ad4e9f947c1653c247d418f05dad758a3f9277b</td><td>wlfdb</td><td>WLFDB</td><td><a href="papers/5ad4e9f947c1653c247d418f05dad758a3f9277b.html" target="_blank">WLFDB : Weakly Labeled Face Databases</a></td><td><a href="https://pdfs.semanticscholar.org/5ad4/e9f947c1653c247d418f05dad758a3f9277b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td></tr><tr><td>a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43</td><td>4dfab</td><td>4DFAB</td><td><a href="papers/a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43.html" target="_blank">4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications</a></td><td><a href="https://arxiv.org/pdf/1712.01443.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>0%</td><td>4</td><td>0</td><td>4</td><td>0</td><td>2</td><td>2</td></tr><tr><td>7b92d1e53cc87f7a4256695de590098a2f30261e</td><td>appa_real</td><td>APPA-REAL</td><td><a href="papers/7b92d1e53cc87f7a4256695de590098a2f30261e.html" target="_blank">From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation</a></td><td><span class="gray">[pdf]</a></td><td>2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>1dc35905a1deff8bc74688f2d7e2f48fd2273275</td><td>caltech_pedestrians</td><td>Caltech Pedestrians</td><td><a href="papers/1dc35905a1deff8bc74688f2d7e2f48fd2273275.html" target="_blank">Pedestrian detection: A benchmark</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>15e1af79939dbf90790b03d8aa02477783fb1d0f</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/15e1af79939dbf90790b03d8aa02477783fb1d0f.html" target="_blank">Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro</a></td><td><a href="https://arxiv.org/pdf/1701.07717.pdf" target="_blank">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>72a155c987816ae81c858fddbd6beab656d86220</td><td>europersons</td><td>EuroCity Persons</td><td><a href="papers/72a155c987816ae81c858fddbd6beab656d86220.html" target="_blank">The EuroCity Persons Dataset: A Novel Benchmark for Object Detection</a></td><td><a href="https://arxiv.org/pdf/1805.07193.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>0%</td><td>2</td><td>0</td><td>2</td><td>0</td><td>2</td><td>0</td></tr><tr><td>670637d0303a863c1548d5b19f705860a23e285c</td><td>face_tracer</td><td>FaceTracer</td><td><a href="papers/670637d0303a863c1548d5b19f705860a23e285c.html" target="_blank">Face swapping: automatically replacing faces in photographs</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>12ad3b5bbbf407f8e54ea692c07633d1a867c566</td><td>graz</td><td>Graz Pedestrian</td><td><a href="papers/12ad3b5bbbf407f8e54ea692c07633d1a867c566.html" target="_blank">Object recognition using segmentation for feature detection</a></td><td><span class="gray">[pdf]</a></td><td>Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.</td><td>edu</td><td>Inst. of Comput. Sci., Univ. of Leoben, Austria</td><td>Austria</td><td>47.38473720</td><td>15.09302010</td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>bd88bb2e4f351352d88ee7375af834360e223498</td><td>hda_plus</td><td>HDA+</td><td><a href="papers/bd88bb2e4f351352d88ee7375af834360e223498.html" target="_blank">HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance</a></td><td><a href="https://pdfs.semanticscholar.org/bd88/bb2e4f351352d88ee7375af834360e223498.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>0%</td><td>2</td><td>0</td><td>2</td><td>0</td><td>1</td><td>2</td></tr><tr><td>0ab7cff2ccda7269b73ff6efd9d37e1318f7db25</td><td>ibm_dif</td><td>IBM Diversity in Faces</td><td><a href="papers/0ab7cff2ccda7269b73ff6efd9d37e1318f7db25.html" target="_blank">Facial Coding Scheme Reference 1 Craniofacial Distances</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>066d71fcd997033dce4ca58df924397dfe0b5fd1</td><td>ifdb</td><td>IFDB</td><td><a href="papers/066d71fcd997033dce4ca58df924397dfe0b5fd1.html" target="_blank">Iranian Face Database and Evaluation with a New Detection Algorithm</a></td><td><a href="https://pdfs.semanticscholar.org/066d/71fcd997033dce4ca58df924397dfe0b5fd1.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>21d9d0deed16f0ad62a4865e9acf0686f4f15492</td><td>images_of_groups</td><td>Images of Groups</td><td><a href="papers/21d9d0deed16f0ad62a4865e9acf0686f4f15492.html" target="_blank">Understanding images of groups of people</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Carnegie Mellon University Silicon Valley</td><td>United States</td><td>37.41021930</td><td>-122.05965487</td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>140438a77a771a8fb656b39a78ff488066eb6b50</td><td>lfpw</td><td>LFWP</td><td><a href="papers/140438a77a771a8fb656b39a78ff488066eb6b50.html" target="_blank">Localizing Parts of Faces Using a Consensus of Exemplars</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>079a0a3bf5200994e1f972b1b9197bf2f90e87d4</td><td>mit_cbcl</td><td>MIT CBCL</td><td><a href="papers/079a0a3bf5200994e1f972b1b9197bf2f90e87d4.html" target="_blank">Component-Based Face Recognition with 3D Morphable Models</a></td><td><span class="gray">[pdf]</a></td><td>2004 Conference on Computer Vision and Pattern Recognition Workshop</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>2fda164863a06a92d3a910b96eef927269aeb730</td><td>names_and_faces</td><td>News Dataset</td><td><a href="papers/2fda164863a06a92d3a910b96eef927269aeb730.html" target="_blank">Names and faces in the news</a></td><td><span class="gray">[pdf]</a></td><td>Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>d3200d49a19a4a4e4e9745ee39649b65d80c834b</td><td>scut_head</td><td>SCUT HEAD</td><td><a href="papers/d3200d49a19a4a4e4e9745ee39649b65d80c834b.html" target="_blank">Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture</a></td><td><a href="https://arxiv.org/pdf/1803.09256.pdf" target="_blank">[pdf]</a></td><td>2018 24th International Conference on Pattern Recognition (ICPR)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>8990cdce3f917dad622e43e033db686b354d057c</td><td>tiny_faces</td><td>TinyFace</td><td><a href="papers/8990cdce3f917dad622e43e033db686b354d057c.html" target="_blank">Low-Resolution Face Recognition</a></td><td><a href="https://arxiv.org/pdf/1811.08965.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>6ad5a38df8dd4cdddd74f31996ce096d41219f72</td><td>tud_brussels</td><td>TUD-Brussels</td><td><a href="papers/6ad5a38df8dd4cdddd74f31996ce096d41219f72.html" target="_blank">Multi-cue onboard pedestrian detection</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>6ad5a38df8dd4cdddd74f31996ce096d41219f72</td><td>tud_motionpairs</td><td>TUD-Motionparis</td><td><a href="papers/6ad5a38df8dd4cdddd74f31996ce096d41219f72.html" target="_blank">Multi-cue onboard pedestrian detection</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>01959ef569f74c286956024866c1d107099199f7</td><td>vqa</td><td>VQA</td><td><a href="papers/01959ef569f74c286956024866c1d107099199f7.html" target="_blank">VQA: Visual Question Answering</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>9b9bf5e623cb8af7407d2d2d857bc3f1b531c182</td><td>who_goes_there</td><td>WGT</td><td><a href="papers/9b9bf5e623cb8af7407d2d2d857bc3f1b531c182.html" target="_blank">Who goes there?: approaches to mapping facial appearance diversity</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>University of Kentucky</td><td>United States</td><td>38.03337420</td><td>-84.50177580</td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>36bccfb2ad847096bc76777e544f305813cd8f5b</td><td>wildtrack</td><td>WildTrack</td><td><a href="papers/36bccfb2ad847096bc76777e544f305813cd8f5b.html" target="_blank">WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection</a></td><td><a href="http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1562-supp.pdf" target="_blank">[pdf]</a></td><td>2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr></table></body></html>
\ No newline at end of file diff --git a/scraper/reports/report_index.html b/scraper/reports/report_index.html index c6b92593..95184221 100644 --- a/scraper/reports/report_index.html +++ b/scraper/reports/report_index.html @@ -1 +1 @@ -<!doctype html><html><head><meta charset='utf-8'><title>All Papers</title><link rel='stylesheet' href='reports.css'></head><body><h2>All Papers</h2><table border='1' cellpadding='3' cellspacing='3'><th>Paper ID</th><th>Megapixels Key</th><th>Megapixels Name</th><th>Report Link</th><th>PDF Link</th><th>Journal</th><th>Type</th><th>Address</th><th>Country</th><th>Lat</th><th>Lng</th><th>Coverage</th><th>Total Citations</th><th>Geocoded Citations</th><th>Unknown Citations</th><th>Empty Citations</th><th>With PDF</th><th>With DOI</th><tr><td>3325860c0c82a93b2eac654f5324dd6a776f609e</td><td>mpii_human_pose</td><td>MPII Human Pose</td><td><a href="papers/3325860c0c82a93b2eac654f5324dd6a776f609e.html" target="_blank">2D Human Pose Estimation: New Benchmark and State of the Art Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>387</td><td>224</td><td>163</td><td>21</td><td>291</td><td>96</td></tr><tr><td>e4754afaa15b1b53e70743880484b8d0736990ff</td><td>fiw_300</td><td>300-W</td><td><a href="papers/e4754afaa15b1b53e70743880484b8d0736990ff.html" target="_blank">300 Faces In-The-Wild Challenge: database and results</a></td><td><a href="http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>129</td><td>66</td><td>63</td><td>9</td><td>74</td><td>55</td></tr><tr><td>044d9a8c61383312cdafbcc44b9d00d650b21c70</td><td>fiw_300</td><td>300-W</td><td><a href="papers/044d9a8c61383312cdafbcc44b9d00d650b21c70.html" target="_blank">300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision Workshops</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>323</td><td>198</td><td>125</td><td>27</td><td>208</td><td>120</td></tr><tr><td>2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e</td><td>3dpes</td><td>3DPeS</td><td><a href="papers/2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e.html" target="_blank">3DPeS: 3D people dataset for surveillance and forensics</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>133</td><td>65</td><td>68</td><td>11</td><td>73</td><td>58</td></tr><tr><td>a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43</td><td>4dfab</td><td>4DFAB</td><td><a href="papers/a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43.html" target="_blank">4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications</a></td><td><a href="https://arxiv.org/pdf/1712.01443.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>0%</td><td>4</td><td>0</td><td>4</td><td>0</td><td>2</td><td>2</td></tr><tr><td>31b58ced31f22eab10bd3ee2d9174e7c14c27c01</td><td>tiny_images</td><td>Tiny Images</td><td><a href="papers/31b58ced31f22eab10bd3ee2d9174e7c14c27c01.html" target="_blank">80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>999</td><td>529</td><td>470</td><td>89</td><td>644</td><td>337</td></tr><tr><td>d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae</td><td>b3d_ac</td><td>B3D(AC)</td><td><a href="papers/d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae.html" target="_blank">A 3-D Audio-Visual Corpus of Affective Communication</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Multimedia</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>42</td><td>19</td><td>23</td><td>2</td><td>26</td><td>15</td></tr><tr><td>4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461</td><td>3dddb_unconstrained</td><td>3D Dynamic</td><td><a href="papers/4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461.html" target="_blank">A 3D Dynamic Database for Unconstrained Face Recognition</a></td><td><a href="https://pdfs.semanticscholar.org/4d4b/b462c9f1d4e4ab1e4aa6a75cc0bc71b38461.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td></tr><tr><td>639937b3a1b8bded3f7e9a40e85bd3770016cf3c</td><td>bfm</td><td>BFM</td><td><a href="papers/639937b3a1b8bded3f7e9a40e85bd3770016cf3c.html" target="_blank">A 3D Face Model for Pose and Illumination Invariant Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>343</td><td>183</td><td>160</td><td>25</td><td>223</td><td>114</td></tr><tr><td>cc589c499dcf323fe4a143bbef0074c3e31f9b60</td><td>bu_3dfe</td><td>BU-3DFE</td><td><a href="papers/cc589c499dcf323fe4a143bbef0074c3e31f9b60.html" target="_blank">A 3D facial expression database for facial behavior research</a></td><td><span class="gray">[pdf]</a></td><td>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>588</td><td>275</td><td>312</td><td>45</td><td>306</td><td>282</td></tr><tr><td>22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b</td><td>saivt</td><td>SAIVT SoftBio</td><td><a href="papers/22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b.html" target="_blank">A Database for Person Re-Identification in Multi-Camera Surveillance Networks</a></td><td><span class="gray">[pdf]</a></td><td>2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)</td><td></td><td></td><td></td><td></td><td></td><td>40%</td><td>65</td><td>26</td><td>39</td><td>7</td><td>45</td><td>20</td></tr><tr><td>070de852bc6eb275d7ca3a9cdde8f6be8795d1a3</td><td>d3dfacs</td><td>D3DFACS</td><td><a href="papers/070de852bc6eb275d7ca3a9cdde8f6be8795d1a3.html" target="_blank">A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling</a></td><td><span class="gray">[pdf]</a></td><td>2011 International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>50</td><td>25</td><td>25</td><td>5</td><td>31</td><td>18</td></tr><tr><td>563c940054e4b456661762c1ab858e6f730c3159</td><td>data_61</td><td>Data61 Pedestrian</td><td><a href="papers/563c940054e4b456661762c1ab858e6f730c3159.html" target="_blank">A Multi-modal Graphical Model for Scene Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Winter Conference on Applications of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>8</td><td>4</td><td>4</td><td>0</td><td>5</td><td>3</td></tr><tr><td>221c18238b829c12b911706947ab38fd017acef7</td><td>rap_pedestrian</td><td>RAP</td><td><a href="papers/221c18238b829c12b911706947ab38fd017acef7.html" target="_blank">A Richly Annotated Dataset for Pedestrian Attribute Recognition</a></td><td><a href="https://arxiv.org/pdf/1603.07054.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>26</td><td>12</td><td>14</td><td>0</td><td>16</td><td>10</td></tr><tr><td>013909077ad843eb6df7a3e8e290cfd5575999d2</td><td>fiw_300</td><td>300-W</td><td><a href="papers/013909077ad843eb6df7a3e8e290cfd5575999d2.html" target="_blank">A Semi-automatic Methodology for Facial Landmark Annotation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>184</td><td>107</td><td>77</td><td>14</td><td>120</td><td>67</td></tr><tr><td>3b4ec8af470948a72a6ed37a9fd226719a874ebc</td><td>sdu_vid</td><td>SDU-VID</td><td><a href="papers/3b4ec8af470948a72a6ed37a9fd226719a874ebc.html" target="_blank">A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>95</td><td>57</td><td>38</td><td>7</td><td>50</td><td>45</td></tr><tr><td>6403117f9c005ae81f1e8e6d1302f4a045e3d99d</td><td>alert_airport</td><td>ALERT Airport</td><td><a href="papers/6403117f9c005ae81f1e8e6d1302f4a045e3d99d.html" target="_blank">A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>35%</td><td>20</td><td>7</td><td>13</td><td>0</td><td>9</td><td>11</td></tr><tr><td>0d3bb75852098b25d90f31d2f48fd0cb4944702b</td><td>face_scrub</td><td>FaceScrub</td><td><a href="papers/0d3bb75852098b25d90f31d2f48fd0cb4944702b.html" target="_blank">A data-driven approach to cleaning large face datasets</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE International Conference on Image Processing (ICIP)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>138</td><td>67</td><td>71</td><td>5</td><td>95</td><td>41</td></tr><tr><td>b91f54e1581fbbf60392364323d00a0cd43e493c</td><td>bp4d_spontanous</td><td>BP4D-Spontanous</td><td><a href="papers/b91f54e1581fbbf60392364323d00a0cd43e493c.html" target="_blank">A high-resolution spontaneous 3D dynamic facial expression database</a></td><td><span class="gray">[pdf]</a></td><td>2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</td><td>edu</td><td>SUNY Binghamton</td><td>United States</td><td>42.08779975</td><td>-75.97066066</td><td>46%</td><td>154</td><td>71</td><td>83</td><td>7</td><td>80</td><td>75</td></tr><tr><td>8b56e33f33e582f3e473dba573a16b598ed9bcdc</td><td>fei</td><td>FEI</td><td><a href="papers/8b56e33f33e582f3e473dba573a16b598ed9bcdc.html" target="_blank">A new ranking method for principal components analysis and its application to face image analysis</a></td><td><span class="gray">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>169</td><td>80</td><td>89</td><td>6</td><td>69</td><td>102</td></tr><tr><td>2624d84503bc2f8e190e061c5480b6aa4d89277a</td><td>afew_va</td><td>AFEW-VA</td><td><a href="papers/2624d84503bc2f8e190e061c5480b6aa4d89277a.html" target="_blank">AFEW-VA database for valence and arousal estimation in-the-wild</a></td><td><a href="https://ibug.doc.ic.ac.uk/media/uploads/documents/afew-va.pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>18</td><td>8</td><td>10</td><td>0</td><td>12</td><td>5</td></tr><tr><td>2ad0ee93d029e790ebb50574f403a09854b65b7e</td><td>yale_faces</td><td>YaleFaces</td><td><a href="papers/2ad0ee93d029e790ebb50574f403a09854b65b7e.html" target="_blank">Acquiring linear subspaces for face recognition under variable lighting</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>999</td><td>498</td><td>501</td><td>94</td><td>495</td><td>491</td></tr><tr><td>57fe081950f21ca03b5b375ae3e84b399c015861</td><td>cvc_01_barcelona</td><td>CVC-01</td><td><a href="papers/57fe081950f21ca03b5b375ae3e84b399c015861.html" target="_blank">Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>40%</td><td>47</td><td>19</td><td>28</td><td>1</td><td>23</td><td>24</td></tr><tr><td>758d7e1be64cc668c59ef33ba8882c8597406e53</td><td>affectnet</td><td>AffectNet</td><td><a href="papers/758d7e1be64cc668c59ef33ba8882c8597406e53.html" target="_blank">AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild</a></td><td><a href="https://arxiv.org/pdf/1708.03985.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>37</td><td>22</td><td>15</td><td>0</td><td>25</td><td>11</td></tr><tr><td>47aeb3b82f54b5ae8142b4bdda7b614433e69b9a</td><td>am_fed</td><td>AM-FED</td><td><a href="papers/47aeb3b82f54b5ae8142b4bdda7b614433e69b9a.html" target="_blank">Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>83</td><td>37</td><td>46</td><td>6</td><td>43</td><td>39</td></tr><tr><td>1be498d4bbc30c3bfd0029114c784bc2114d67c0</td><td>adience</td><td>Adience</td><td><a href="papers/1be498d4bbc30c3bfd0029114c784bc2114d67c0.html" target="_blank">Age and Gender Estimation of Unfiltered Faces</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Information Forensics and Security</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>179</td><td>93</td><td>86</td><td>7</td><td>98</td><td>80</td></tr><tr><td>d818568838433a6d6831adde49a58cef05e0c89f</td><td>agedb</td><td>AgeDB</td><td><a href="papers/d818568838433a6d6831adde49a58cef05e0c89f.html" target="_blank">AgeDB: The First Manually Collected, In-the-Wild Age Database</a></td><td><a href="http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf" target="_blank">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>78%</td><td>18</td><td>14</td><td>4</td><td>0</td><td>14</td><td>3</td></tr><tr><td>a74251efa970b92925b89eeef50a5e37d9281ad0</td><td>aflw</td><td>AFLW</td><td><a href="papers/a74251efa970b92925b89eeef50a5e37d9281ad0.html" target="_blank">Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>318</td><td>177</td><td>141</td><td>35</td><td>211</td><td>107</td></tr><tr><td>2ce2560cf59db59ce313bbeb004e8ce55c5ce928</td><td>texas_3dfrd</td><td>Texas 3DFRD</td><td><a href="papers/2ce2560cf59db59ce313bbeb004e8ce55c5ce928.html" target="_blank">Anthropometric 3D Face Recognition</a></td><td><a href="http://live.ece.utexas.edu/publications/2010/sg_ijcv_june10.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>91</td><td>47</td><td>44</td><td>5</td><td>60</td><td>31</td></tr><tr><td>633c851ebf625ad7abdda2324e9de093cf623141</td><td>appa_real</td><td>APPA-REAL</td><td><a href="papers/633c851ebf625ad7abdda2324e9de093cf623141.html" target="_blank">Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database</a></td><td><span class="gray">[pdf]</a></td><td>2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>10</td><td>5</td><td>5</td><td>0</td><td>8</td><td>3</td></tr><tr><td>0df0d1adea39a5bef318b74faa37de7f3e00b452</td><td>mpii_gaze</td><td>MPIIGaze</td><td><a href="papers/0df0d1adea39a5bef318b74faa37de7f3e00b452.html" target="_blank">Appearance-based gaze estimation in the wild</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>64%</td><td>149</td><td>95</td><td>54</td><td>3</td><td>94</td><td>54</td></tr><tr><td>759a3b3821d9f0e08e0b0a62c8b693230afc3f8d</td><td>pubfig</td><td>PubFig</td><td><a href="papers/759a3b3821d9f0e08e0b0a62c8b693230afc3f8d.html" target="_blank">Attribute and simile classifiers for face verification</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE 12th International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>914</td><td>535</td><td>379</td><td>49</td><td>586</td><td>316</td></tr><tr><td>faf40ce28857aedf183e193486f5b4b0a8c478a2</td><td>iit_dehli_ear</td><td>IIT Dehli Ear</td><td><a href="papers/faf40ce28857aedf183e193486f5b4b0a8c478a2.html" target="_blank">Automated Human Identification Using Ear Imaging</a></td><td><a href="https://pdfs.semanticscholar.org/faf4/0ce28857aedf183e193486f5b4b0a8c478a2.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>38%</td><td>80</td><td>30</td><td>50</td><td>6</td><td>35</td><td>44</td></tr><tr><td>2160788824c4c29ffe213b2cbeb3f52972d73f37</td><td>3d_rma</td><td>3D-RMA</td><td><a href="papers/2160788824c4c29ffe213b2cbeb3f52972d73f37.html" target="_blank">Automatic 3D face authentication</a></td><td><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.31.9190&rep=rep1&type=pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>100</td><td>47</td><td>53</td><td>8</td><td>63</td><td>36</td></tr><tr><td>213a579af9e4f57f071b884aa872651372b661fd</td><td>bbc_pose</td><td>BBC Pose</td><td><a href="papers/213a579af9e4f57f071b884aa872651372b661fd.html" target="_blank">Automatic and Efficient Human Pose Estimation for Sign Language Videos</a></td><td><a href="http://tomas.pfister.fi/files/charles13ijcv.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>65%</td><td>26</td><td>17</td><td>9</td><td>1</td><td>16</td><td>11</td></tr><tr><td>fcc6fe6007c322641796cb8792718641856a22a7</td><td>miw</td><td>MIW</td><td><a href="papers/fcc6fe6007c322641796cb8792718641856a22a7.html" target="_blank">Automatic facial makeup detection with application in face recognition</a></td><td><span class="gray">[pdf]</a></td><td>2013 International Conference on Biometrics (ICB)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>69%</td><td>49</td><td>34</td><td>15</td><td>1</td><td>19</td><td>29</td></tr><tr><td>fcc6fe6007c322641796cb8792718641856a22a7</td><td>youtube_makeup</td><td>YMU</td><td><a href="papers/fcc6fe6007c322641796cb8792718641856a22a7.html" target="_blank">Automatic facial makeup detection with application in face recognition</a></td><td><span class="gray">[pdf]</a></td><td>2013 International Conference on Biometrics (ICB)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>69%</td><td>49</td><td>34</td><td>15</td><td>1</td><td>19</td><td>29</td></tr><tr><td>0a85bdff552615643dd74646ac881862a7c7072d</td><td>pipa</td><td>PIPA</td><td><a href="papers/0a85bdff552615643dd74646ac881862a7c7072d.html" target="_blank">Beyond frontal faces: Improving Person Recognition using multiple cues</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td>company</td><td>Facebook</td><td>United States</td><td>37.39367170</td><td>-122.08072620</td><td>69%</td><td>54</td><td>37</td><td>16</td><td>1</td><td>41</td><td>12</td></tr><tr><td>2acf7e58f0a526b957be2099c10aab693f795973</td><td>bosphorus</td><td>The Bosphorus</td><td><a href="papers/2acf7e58f0a526b957be2099c10aab693f795973.html" target="_blank">Bosphorus Database for 3D Face Analysis</a></td><td><a href="https://pdfs.semanticscholar.org/4254/fbba3846008f50671edc9cf70b99d7304543.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>352</td><td>171</td><td>181</td><td>17</td><td>162</td><td>188</td></tr><tr><td>37d6f0eb074d207b53885bd2eb78ccc8a04be597</td><td>vmu</td><td>VMU</td><td><a href="papers/37d6f0eb074d207b53885bd2eb78ccc8a04be597.html" target="_blank">Can facial cosmetics affect the matching accuracy of face recognition systems?</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>60%</td><td>53</td><td>32</td><td>21</td><td>0</td><td>19</td><td>31</td></tr><tr><td>37d6f0eb074d207b53885bd2eb78ccc8a04be597</td><td>youtube_makeup</td><td>YMU</td><td><a href="papers/37d6f0eb074d207b53885bd2eb78ccc8a04be597.html" target="_blank">Can facial cosmetics affect the matching accuracy of face recognition systems?</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>60%</td><td>53</td><td>32</td><td>21</td><td>0</td><td>19</td><td>31</td></tr><tr><td>8d5998cd984e7cce307da7d46f155f9db99c6590</td><td>chalearn</td><td>ChaLearn</td><td><a href="papers/8d5998cd984e7cce307da7d46f155f9db99c6590.html" target="_blank">ChaLearn looking at people: A review of events and resources</a></td><td><span class="gray">[pdf]</a></td><td>2017 International Joint Conference on Neural Networks (IJCNN)</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>13</td><td>6</td><td>7</td><td>1</td><td>8</td><td>4</td></tr><tr><td>2bf8541199728262f78d4dced6fb91479b39b738</td><td>clothing_co_parsing</td><td>CCP</td><td><a href="papers/2bf8541199728262f78d4dced6fb91479b39b738.html" target="_blank">Clothing Co-parsing by Joint Image Segmentation and Labeling</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>70%</td><td>60</td><td>42</td><td>18</td><td>0</td><td>34</td><td>28</td></tr><tr><td>22ad2c8c0f4d6aa4328b38d894b814ec22579761</td><td>gallagher</td><td>Gallagher</td><td><a href="papers/22ad2c8c0f4d6aa4328b38d894b814ec22579761.html" target="_blank">Clothing cosegmentation for recognizing people</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Carnegie Mellon University Silicon Valley</td><td>United States</td><td>37.41021930</td><td>-122.05965487</td><td>59%</td><td>178</td><td>105</td><td>73</td><td>7</td><td>100</td><td>86</td></tr><tr><td>4b1d23d17476fcf78f4cbadf69fb130b1aa627c0</td><td>leeds_sports_pose</td><td>Leeds Sports Pose</td><td><a href="papers/4b1d23d17476fcf78f4cbadf69fb130b1aa627c0.html" target="_blank">Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation</a></td><td><a href="http://www.bmva.org/bmvc/2010/conference/paper12/abstract12.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>285</td><td>174</td><td>111</td><td>13</td><td>197</td><td>93</td></tr><tr><td>4b1d23d17476fcf78f4cbadf69fb130b1aa627c0</td><td>stickmen_buffy</td><td>Buffy Stickmen</td><td><a href="papers/4b1d23d17476fcf78f4cbadf69fb130b1aa627c0.html" target="_blank">Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation</a></td><td><a href="http://www.bmva.org/bmvc/2010/conference/paper12/abstract12.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>285</td><td>174</td><td>111</td><td>13</td><td>197</td><td>93</td></tr><tr><td>45c31cde87258414f33412b3b12fc5bec7cb3ba9</td><td>jaffe</td><td>JAFFE</td><td><a href="papers/45c31cde87258414f33412b3b12fc5bec7cb3ba9.html" target="_blank">Coding Facial Expressions with Gabor Wavelets</a></td><td><a href="http://physics.lbl.gov/patrecog/images/Facerecog_gabor.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>899</td><td>443</td><td>456</td><td>51</td><td>431</td><td>451</td></tr><tr><td>b1f4423c227fa37b9680787be38857069247a307</td><td>afew_va</td><td>AFEW-VA</td><td><a href="papers/b1f4423c227fa37b9680787be38857069247a307.html" target="_blank">Collecting Large, Richly Annotated Facial-Expression Databases from Movies</a></td><td><span class="gray">[pdf]</a></td><td>IEEE MultiMedia</td><td>edu</td><td>Australian National University</td><td>Australia</td><td>-35.27769990</td><td>149.11852700</td><td>61%</td><td>181</td><td>111</td><td>70</td><td>8</td><td>87</td><td>97</td></tr><tr><td>7f4040b482d16354d5938c1d1b926b544652bf5b</td><td>nova_emotions</td><td>Novaemötions Dataset</td><td><a href="papers/7f4040b482d16354d5938c1d1b926b544652bf5b.html" target="_blank">Competitive affective gaming: winning with a smile</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Universidade NOVA de Lisboa, Caparica, Portugal</td><td>Portugal</td><td>38.66096400</td><td>-9.20581300</td><td>67%</td><td>9</td><td>6</td><td>3</td><td>0</td><td>5</td><td>4</td></tr><tr><td>079a0a3bf5200994e1f972b1b9197bf2f90e87d4</td><td>mit_cbcl</td><td>MIT CBCL</td><td><a href="papers/079a0a3bf5200994e1f972b1b9197bf2f90e87d4.html" target="_blank">Component-Based Face Recognition with 3D Morphable Models</a></td><td><span class="gray">[pdf]</a></td><td>2004 Conference on Computer Vision and Pattern Recognition Workshop</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>23fc83c8cfff14a16df7ca497661264fc54ed746</td><td>cohn_kanade</td><td>CK</td><td><a href="papers/23fc83c8cfff14a16df7ca497661264fc54ed746.html" target="_blank">Comprehensive Database for Facial Expression Analysis</a></td><td><a href="https://pdfs.semanticscholar.org/23fc/83c8cfff14a16df7ca497661264fc54ed746.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>999</td><td>492</td><td>507</td><td>69</td><td>539</td><td>439</td></tr><tr><td>09d78009687bec46e70efcf39d4612822e61cb8c</td><td>raid</td><td>RAiD</td><td><a href="papers/09d78009687bec46e70efcf39d4612822e61cb8c.html" target="_blank">Consistent Re-identification in a Camera Network</a></td><td><a href="https://pdfs.semanticscholar.org/c27f/099e6e7e3f7f9979cbe9e0a5175fc5848ea0.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>49</td><td>27</td><td>22</td><td>5</td><td>34</td><td>13</td></tr><tr><td>0ceda9dae8b9f322df65ca2ef02caca9758aec6f</td><td>casablanca</td><td>Casablanca</td><td><a href="papers/0ceda9dae8b9f322df65ca2ef02caca9758aec6f.html" target="_blank">Context-Aware CNNs for Person Head Detection</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>33</td><td>18</td><td>15</td><td>1</td><td>23</td><td>11</td></tr><tr><td>0ceda9dae8b9f322df65ca2ef02caca9758aec6f</td><td>hollywood_headset</td><td>HollywoodHeads</td><td><a href="papers/0ceda9dae8b9f322df65ca2ef02caca9758aec6f.html" target="_blank">Context-Aware CNNs for Person Head Detection</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>33</td><td>18</td><td>15</td><td>1</td><td>23</td><td>11</td></tr><tr><td>c06b13d0ec3f5c43e2782cd22542588e233733c3</td><td>nova_emotions</td><td>Novaemötions Dataset</td><td><a href="papers/c06b13d0ec3f5c43e2782cd22542588e233733c3.html" target="_blank">Crowdsourcing facial expressions for affective-interaction</a></td><td><span class="gray">[pdf]</a></td><td>Computer Vision and Image Understanding</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><td>8355d095d3534ef511a9af68a3b2893339e3f96b</td><td>imdb_wiki</td><td>IMDB</td><td><a href="papers/8355d095d3534ef511a9af68a3b2893339e3f96b.html" target="_blank">DEX: Deep EXpectation of Apparent Age from a Single Image</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision Workshop (ICCVW)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>122</td><td>68</td><td>54</td><td>6</td><td>75</td><td>48</td></tr><tr><td>5a5f0287484f0d480fed1ce585dbf729586f0edc</td><td>disfa</td><td>DISFA</td><td><a href="papers/5a5f0287484f0d480fed1ce585dbf729586f0edc.html" target="_blank">DISFA: A Spontaneous Facial Action Intensity Database</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Affective Computing</td><td>edu</td><td>University of Denver</td><td>United States</td><td>39.67665410</td><td>-104.96220300</td><td>49%</td><td>184</td><td>90</td><td>94</td><td>19</td><td>96</td><td>89</td></tr><tr><td>10195a163ab6348eef37213a46f60a3d87f289c5</td><td>imdb_wiki</td><td>IMDB</td><td><a href="papers/10195a163ab6348eef37213a46f60a3d87f289c5.html" target="_blank">Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks</a></td><td><a href="http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td>edu</td><td>ETH Zurich</td><td>Switzerland</td><td>47.37631300</td><td>8.54766990</td><td>52%</td><td>145</td><td>76</td><td>69</td><td>11</td><td>93</td><td>51</td></tr><tr><td>162ea969d1929ed180cc6de9f0bf116993ff6e06</td><td>vgg_faces</td><td>VGG Face</td><td><a href="papers/162ea969d1929ed180cc6de9f0bf116993ff6e06.html" target="_blank">Deep Face Recognition</a></td><td><a href="https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>546</td><td>453</td><td>58</td><td>558</td><td>429</td></tr><tr><td>6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4</td><td>celeba</td><td>CelebA</td><td><a href="papers/6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4.html" target="_blank">Deep Learning Face Attributes in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td>edu</td><td>Chinese University of Hong Kong</td><td>China</td><td>22.41626320</td><td>114.21093180</td><td>50%</td><td>919</td><td>456</td><td>462</td><td>64</td><td>694</td><td>201</td></tr><tr><td>18010284894ed0edcca74e5bf768ee2e15ef7841</td><td>deep_fashion</td><td>DeepFashion</td><td><a href="papers/18010284894ed0edcca74e5bf768ee2e15ef7841.html" target="_blank">DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>176</td><td>105</td><td>71</td><td>2</td><td>113</td><td>62</td></tr><tr><td>6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3</td><td>cuhk_campus_03</td><td>CUHK03 Campus</td><td><a href="papers/6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3.html" target="_blank">DeepReID: Deep Filter Pairing Neural Network for Person Re-identification</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>568</td><td>320</td><td>248</td><td>26</td><td>320</td><td>235</td></tr><tr><td>13f06b08f371ba8b5d31c3e288b4deb61335b462</td><td>eth_andreas_ess</td><td>ETHZ Pedestrian</td><td><a href="papers/13f06b08f371ba8b5d31c3e288b4deb61335b462.html" target="_blank">Depth and Appearance for Mobile Scene Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2007 IEEE 11th International Conference on Computer Vision</td><td>edu</td><td>ETH Zurich</td><td>Switzerland</td><td>47.37631300</td><td>8.54766990</td><td>55%</td><td>324</td><td>179</td><td>145</td><td>26</td><td>193</td><td>127</td></tr><tr><td>4946ba10a4d5a7d0a38372f23e6622bd347ae273</td><td>coco_action</td><td>COCO-a</td><td><a href="papers/4946ba10a4d5a7d0a38372f23e6622bd347ae273.html" target="_blank">Describing Common Human Visual Actions in Images</a></td><td><a href="https://arxiv.org/pdf/1506.02203.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>64%</td><td>25</td><td>16</td><td>9</td><td>0</td><td>23</td><td>2</td></tr><tr><td>7808937b46acad36e43c30ae4e9f3fd57462853d</td><td>bpad</td><td>BPAD</td><td><a href="papers/7808937b46acad36e43c30ae4e9f3fd57462853d.html" target="_blank">Describing people: A poselet-based approach to attribute classification</a></td><td><span class="gray">[pdf]</a></td><td>2011 International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>230</td><td>128</td><td>102</td><td>14</td><td>163</td><td>66</td></tr><tr><td>d3200d49a19a4a4e4e9745ee39649b65d80c834b</td><td>scut_head</td><td>SCUT HEAD</td><td><a href="papers/d3200d49a19a4a4e4e9745ee39649b65d80c834b.html" target="_blank">Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture</a></td><td><a href="https://arxiv.org/pdf/1803.09256.pdf" target="_blank">[pdf]</a></td><td>2018 24th International Conference on Pattern Recognition (ICPR)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>9cc8cf0c7d7fa7607659921b6ff657e17e135ecc</td><td>mafa</td><td>MAsked FAces</td><td><a href="papers/9cc8cf0c7d7fa7607659921b6ff657e17e135ecc.html" target="_blank">Detecting Masked Faces in the Wild with LLE-CNNs</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>5</td><td>3</td><td>2</td><td>1</td><td>4</td><td>1</td></tr><tr><td>56ae6d94fc6097ec4ca861f0daa87941d1c10b70</td><td>cmdp</td><td>CMDP</td><td><a href="papers/56ae6d94fc6097ec4ca861f0daa87941d1c10b70.html" target="_blank">Distance Estimation of an Unknown Person from a Portrait</a></td><td><a href="http://authors.library.caltech.edu/49084/13/FaceDistanceEstimation_RONCHI.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>9</td><td>4</td><td>5</td><td>0</td><td>6</td><td>3</td></tr><tr><td>84fe5b4ac805af63206012d29523a1e033bc827e</td><td>awe_ears</td><td>AWE Ears</td><td><a href="papers/84fe5b4ac805af63206012d29523a1e033bc827e.html" target="_blank">Ear Recognition: More Than a Survey</a></td><td><a href="https://arxiv.org/pdf/1611.06203.pdf" target="_blank">[pdf]</a></td><td>Neurocomputing</td><td></td><td></td><td></td><td></td><td></td><td>65%</td><td>26</td><td>17</td><td>9</td><td>0</td><td>10</td><td>16</td></tr><tr><td>133f01aec1534604d184d56de866a4bd531dac87</td><td>lfw</td><td>LFW</td><td><a href="papers/133f01aec1534604d184d56de866a4bd531dac87.html" target="_blank">Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>183</td><td>101</td><td>82</td><td>14</td><td>103</td><td>77</td></tr><tr><td>c900e0ad4c95948baaf0acd8449fde26f9b4952a</td><td>emotio_net</td><td>EmotioNet Database</td><td><a href="papers/c900e0ad4c95948baaf0acd8449fde26f9b4952a.html" target="_blank">EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>86</td><td>40</td><td>46</td><td>7</td><td>54</td><td>29</td></tr><tr><td>2161f6b7ee3c0acc81603b01dc0df689683577b9</td><td>large_scale_person_search</td><td>Large Scale Person Search</td><td><a href="papers/2161f6b7ee3c0acc81603b01dc0df689683577b9.html" target="_blank">End-to-End Deep Learning for Person Search</a></td><td><a href="https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>46</td><td>24</td><td>22</td><td>1</td><td>27</td><td>16</td></tr><tr><td>1bd1645a629f1b612960ab9bba276afd4cf7c666</td><td>brainwash</td><td>Brainwash</td><td><a href="papers/1bd1645a629f1b612960ab9bba276afd4cf7c666.html" target="_blank">End-to-End People Detection in Crowded Scenes</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>42</td><td>21</td><td>21</td><td>1</td><td>19</td><td>19</td></tr><tr><td>6273b3491e94ea4dd1ce42b791d77bdc96ee73a8</td><td>viper</td><td>VIPeR</td><td><a href="papers/6273b3491e94ea4dd1ce42b791d77bdc96ee73a8.html" target="_blank">Evaluating Appearance Models for Recognition, Reacquisition, and Tracking</a></td><td><a href="https://pdfs.semanticscholar.org/7847/b1fbccadb780b655e72c66d3f9e93ddb880c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>624</td><td>352</td><td>272</td><td>35</td><td>342</td><td>276</td></tr><tr><td>2258e01865367018ed6f4262c880df85b94959f8</td><td>mot</td><td>MOT</td><td><a href="papers/2258e01865367018ed6f4262c880df85b94959f8.html" target="_blank">Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics</a></td><td><a href="https://cvhci.anthropomatik.kit.edu/images/stories/msmmi/papers/eurasip2008.pdf" target="_blank">[pdf]</a></td><td>EURASIP J. Image and Video Processing</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>632</td><td>313</td><td>317</td><td>50</td><td>358</td><td>264</td></tr><tr><td>9e5378e7b336c89735d3bb15cf67eff96f86d39a</td><td>precarious</td><td>Precarious</td><td><a href="papers/9e5378e7b336c89735d3bb15cf67eff96f86d39a.html" target="_blank">Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>21%</td><td>14</td><td>3</td><td>11</td><td>1</td><td>12</td><td>1</td></tr><tr><td>35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62</td><td>coco_qa</td><td>COCO QA</td><td><a href="papers/35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62.html" target="_blank">Exploring Models and Data for Image Question Answering</a></td><td><a href="https://arxiv.org/pdf/1505.02074.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>206</td><td>115</td><td>91</td><td>11</td><td>162</td><td>39</td></tr><tr><td>2cd7821fcf5fae53a185624f7eeda007434ae037</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/2cd7821fcf5fae53a185624f7eeda007434ae037.html" target="_blank">Exploring the geo-dependence of human face appearance</a></td><td><a href="http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf" target="_blank">[pdf]</a></td><td>IEEE Winter Conference on Applications of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>88%</td><td>8</td><td>7</td><td>1</td><td>0</td><td>5</td><td>3</td></tr><tr><td>2cd7821fcf5fae53a185624f7eeda007434ae037</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/2cd7821fcf5fae53a185624f7eeda007434ae037.html" target="_blank">Exploring the geo-dependence of human face appearance</a></td><td><a href="http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf" target="_blank">[pdf]</a></td><td>IEEE Winter Conference on Applications of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>88%</td><td>8</td><td>7</td><td>1</td><td>0</td><td>5</td><td>3</td></tr><tr><td>75da1df4ed319926c544eefe17ec8d720feef8c0</td><td>fddb</td><td>FDDB</td><td><a href="papers/75da1df4ed319926c544eefe17ec8d720feef8c0.html" target="_blank">FDDB: A benchmark for face detection in unconstrained settings</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>380</td><td>214</td><td>166</td><td>22</td><td>202</td><td>164</td></tr><tr><td>31de9b3dd6106ce6eec9a35991b2b9083395fd0b</td><td>feret</td><td>FERET</td><td><a href="papers/31de9b3dd6106ce6eec9a35991b2b9083395fd0b.html" target="_blank">FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results</a></td><td><a href="https://pdfs.semanticscholar.org/31de/9b3dd6106ce6eec9a35991b2b9083395fd0b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>75</td><td>34</td><td>41</td><td>5</td><td>54</td><td>20</td></tr><tr><td>0e986f51fe45b00633de9fd0c94d082d2be51406</td><td>afw</td><td>AFW</td><td><a href="papers/0e986f51fe45b00633de9fd0c94d082d2be51406.html" target="_blank">Face detection, pose estimation, and landmark localization in the wild</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>999</td><td>605</td><td>394</td><td>45</td><td>576</td><td>422</td></tr><tr><td>560e0e58d0059259ddf86fcec1fa7975dee6a868</td><td>youtube_faces</td><td>YouTubeFaces</td><td><a href="papers/560e0e58d0059259ddf86fcec1fa7975dee6a868.html" target="_blank">Face recognition in unconstrained videos with matched background similarity</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>509</td><td>291</td><td>217</td><td>28</td><td>294</td><td>216</td></tr><tr><td>670637d0303a863c1548d5b19f705860a23e285c</td><td>face_tracer</td><td>FaceTracer</td><td><a href="papers/670637d0303a863c1548d5b19f705860a23e285c.html" target="_blank">Face swapping: automatically replacing faces in photographs</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>6204776d31359d129a582057c2d788a14f8aadeb</td><td>youtube_celebrities</td><td>YouTube Celebrities</td><td><a href="papers/6204776d31359d129a582057c2d788a14f8aadeb.html" target="_blank">Face tracking and recognition with visual constraints in real-world videos</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Rutgers University</td><td>United States</td><td>40.47913175</td><td>-74.43168868</td><td>53%</td><td>267</td><td>142</td><td>124</td><td>14</td><td>125</td><td>121</td></tr><tr><td>4c170a0dcc8de75587dae21ca508dab2f9343974</td><td>face_tracer</td><td>FaceTracer</td><td><a href="papers/4c170a0dcc8de75587dae21ca508dab2f9343974.html" target="_blank">FaceTracer: A Search Engine for Large Collections of Images with Faces</a></td><td><a href="https://pdfs.semanticscholar.org/73a8/1d311eedac8dea3ca24dc15b6990fa4a725e.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>225</td><td>126</td><td>99</td><td>17</td><td>146</td><td>77</td></tr><tr><td>7ebb153704706e457ab57b432793d2b6e5d12592</td><td>vgg_celebs_in_places</td><td>CIP</td><td><a href="papers/7ebb153704706e457ab57b432793d2b6e5d12592.html" target="_blank">Faces in Places: compound query retrieval</a></td><td><a href="https://pdfs.semanticscholar.org/7ebb/153704706e457ab57b432793d2b6e5d12592.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>80%</td><td>5</td><td>4</td><td>1</td><td>0</td><td>3</td><td>2</td></tr><tr><td>0ab7cff2ccda7269b73ff6efd9d37e1318f7db25</td><td>ibm_dif</td><td>IBM Diversity in Faces</td><td><a href="papers/0ab7cff2ccda7269b73ff6efd9d37e1318f7db25.html" target="_blank">Facial Coding Scheme Reference 1 Craniofacial Distances</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>8a3c5507237957d013a0fe0f082cab7f757af6ee</td><td>mafl</td><td>MAFL</td><td><a href="papers/8a3c5507237957d013a0fe0f082cab7f757af6ee.html" target="_blank">Facial Landmark Detection by Deep Multi-task Learning</a></td><td><a href="https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>407</td><td>239</td><td>168</td><td>18</td><td>252</td><td>153</td></tr><tr><td>8a3c5507237957d013a0fe0f082cab7f757af6ee</td><td>mtfl</td><td>MTFL</td><td><a href="papers/8a3c5507237957d013a0fe0f082cab7f757af6ee.html" target="_blank">Facial Landmark Detection by Deep Multi-task Learning</a></td><td><a href="https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>407</td><td>239</td><td>168</td><td>18</td><td>252</td><td>153</td></tr><tr><td>4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7</td><td>deep_fashion</td><td>DeepFashion</td><td><a href="papers/4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7.html" target="_blank">Fashion Landmark Detection in the Wild</a></td><td><a href="https://arxiv.org/pdf/1608.03049.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>69%</td><td>26</td><td>18</td><td>8</td><td>1</td><td>16</td><td>10</td></tr><tr><td>060820f110a72cbf02c14a6d1085bd6e1d994f6a</td><td>caltech_crp</td><td>Caltech CRP</td><td><a href="papers/060820f110a72cbf02c14a6d1085bd6e1d994f6a.html" target="_blank">Fine-grained classification of pedestrians in video: Benchmark and state of the art</a></td><td><a href="https://arxiv.org/pdf/1605.06177.pdf" target="_blank">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>35%</td><td>17</td><td>6</td><td>11</td><td>0</td><td>9</td><td>8</td></tr><tr><td>45e616093a92e5f1e61a7c6037d5f637aa8964af</td><td>malf</td><td>MALF</td><td><a href="papers/45e616093a92e5f1e61a7c6037d5f637aa8964af.html" target="_blank">Fine-grained evaluation on face detection in the wild</a></td><td><span class="gray">[pdf]</a></td><td>2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</td><td></td><td></td><td></td><td></td><td></td><td>65%</td><td>17</td><td>11</td><td>6</td><td>0</td><td>12</td><td>5</td></tr><tr><td>1aad2da473888cb7ebc1bfaa15bfa0f1502ce005</td><td>jpl_pose</td><td>JPL-Interaction dataset</td><td><a href="papers/1aad2da473888cb7ebc1bfaa15bfa0f1502ce005.html" target="_blank">First-Person Activity Recognition: What Are They Doing to Me?</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>66%</td><td>148</td><td>98</td><td>50</td><td>7</td><td>105</td><td>43</td></tr><tr><td>7b92d1e53cc87f7a4256695de590098a2f30261e</td><td>appa_real</td><td>APPA-REAL</td><td><a href="papers/7b92d1e53cc87f7a4256695de590098a2f30261e.html" target="_blank">From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation</a></td><td><span class="gray">[pdf]</a></td><td>2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>774cbb45968607a027ae4729077734db000a1ec5</td><td>urban_tribes</td><td>Urban Tribes</td><td><a href="papers/774cbb45968607a027ae4729077734db000a1ec5.html" target="_blank">From Bikers to Surfers: Visual Recognition of Urban Tribes</a></td><td><a href="http://vision.cornell.edu/se3/wp-content/uploads/2014/09/utribes_bmvc13_final.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>67%</td><td>18</td><td>12</td><td>6</td><td>1</td><td>12</td><td>6</td></tr><tr><td>22f656d0f8426c84a33a267977f511f127bfd7f3</td><td>expw</td><td>ExpW</td><td><a href="papers/22f656d0f8426c84a33a267977f511f127bfd7f3.html" target="_blank">From Facial Expression Recognition to Interpersonal Relation Prediction</a></td><td><a href="https://arxiv.org/pdf/1609.06426.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>11</td><td>6</td><td>5</td><td>0</td><td>5</td><td>4</td></tr><tr><td>18c72175ddbb7d5956d180b65a96005c100f6014</td><td>yale_faces</td><td>YaleFaces</td><td><a href="papers/18c72175ddbb7d5956d180b65a96005c100f6014.html" target="_blank">From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose</a></td><td><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.147.1487&rep=rep1&type=pdf" target="_blank">[pdf]</a></td><td>IEEE Trans. Pattern Anal. Mach. Intell.</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>999</td><td>516</td><td>483</td><td>66</td><td>497</td><td>462</td></tr><tr><td>06f02199690961ba52997cde1527e714d2b3bf8f</td><td>columbia_gaze</td><td>Columbia Gaze</td><td><a href="papers/06f02199690961ba52997cde1527e714d2b3bf8f.html" target="_blank">Gaze locking: passive eye contact detection for human-object interaction</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Columbia University</td><td>United States</td><td>40.84198360</td><td>-73.94368971</td><td>70%</td><td>79</td><td>55</td><td>24</td><td>0</td><td>49</td><td>34</td></tr><tr><td>18858cc936947fc96b5c06bbe3c6c2faa5614540</td><td>pilot_parliament</td><td>PPB</td><td><a href="papers/18858cc936947fc96b5c06bbe3c6c2faa5614540.html" target="_blank">Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification</a></td><td><a href="http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>59</td><td>29</td><td>30</td><td>0</td><td>47</td><td>10</td></tr><tr><td>2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d</td><td>kin_face</td><td>UB KinFace</td><td><a href="papers/2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d.html" target="_blank">Genealogical face recognition based on UB KinFace database</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td>edu</td><td>SUNY Buffalo</td><td>United States</td><td>42.93362780</td><td>-78.88394479</td><td>55%</td><td>31</td><td>17</td><td>14</td><td>0</td><td>11</td><td>21</td></tr><tr><td>2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9</td><td>graz</td><td>Graz Pedestrian</td><td><a href="papers/2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9.html" target="_blank">Generic object recognition with boosting</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td>edu</td><td>TU Graz</td><td>Austria</td><td>47.07071400</td><td>15.43950400</td><td>47%</td><td>293</td><td>138</td><td>155</td><td>16</td><td>195</td><td>97</td></tr><tr><td>17b46e2dad927836c689d6787ddb3387c6159ece</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/17b46e2dad927836c689d6787ddb3387c6159ece.html" target="_blank">GeoFaceExplorer: exploring the geo-dependence of facial attributes</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>2</td><td>2</td><td>0</td><td>0</td><td>1</td><td>1</td></tr><tr><td>bd88bb2e4f351352d88ee7375af834360e223498</td><td>hda_plus</td><td>HDA+</td><td><a href="papers/bd88bb2e4f351352d88ee7375af834360e223498.html" target="_blank">HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance</a></td><td><a href="https://pdfs.semanticscholar.org/bd88/bb2e4f351352d88ee7375af834360e223498.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>0%</td><td>2</td><td>0</td><td>2</td><td>0</td><td>1</td><td>2</td></tr><tr><td>a8d0b149c2eadaa02204d3e4356fbc8eccf3b315</td><td>hi4d_adsip</td><td>Hi4D-ADSIP</td><td><a href="papers/a8d0b149c2eadaa02204d3e4356fbc8eccf3b315.html" target="_blank">Hi4D-ADSIP 3-D dynamic facial articulation database</a></td><td><span class="gray">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>15</td><td>9</td><td>6</td><td>1</td><td>4</td><td>11</td></tr><tr><td>2d45cfd838016a6e39f6b766ffe85acd649440c7</td><td>mcgill</td><td>McGill Real World</td><td><a href="papers/2d45cfd838016a6e39f6b766ffe85acd649440c7.html" target="_blank">Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos</a></td><td><span class="gray">[pdf]</a></td><td>Computer Vision and Image Understanding</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>8</td><td>4</td><td>4</td><td>1</td><td>5</td><td>3</td></tr><tr><td>3cd40bfa1ff193a96bde0207e5140a399476466c</td><td>tvhi</td><td>TVHI</td><td><a href="papers/3cd40bfa1ff193a96bde0207e5140a399476466c.html" target="_blank">High Five: Recognising human interactions in TV shows</a></td><td><a href="https://pdfs.semanticscholar.org/3cd4/0bfa1ff193a96bde0207e5140a399476466c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>98</td><td>49</td><td>49</td><td>10</td><td>66</td><td>28</td></tr><tr><td>04c2cda00e5536f4b1508cbd80041e9552880e67</td><td>hipsterwars</td><td>Hipsterwars</td><td><a href="papers/04c2cda00e5536f4b1508cbd80041e9552880e67.html" target="_blank">Hipster Wars: Discovering Elements of Fashion Styles</a></td><td><a href="https://pdfs.semanticscholar.org/04c2/cda00e5536f4b1508cbd80041e9552880e67.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>63%</td><td>95</td><td>60</td><td>35</td><td>4</td><td>59</td><td>35</td></tr><tr><td>10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5</td><td>inria_person</td><td>INRIA Pedestrian</td><td><a href="papers/10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5.html" target="_blank">Histograms of oriented gradients for human detection</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)</td><td>edu</td><td>INRIA Rhone-Alps, Montbonnot, France</td><td>France</td><td>45.21788600</td><td>5.80736900</td><td>51%</td><td>999</td><td>510</td><td>489</td><td>44</td><td>419</td><td>509</td></tr><tr><td>041d3eedf5e45ce5c5229f0181c5c576ed1fafd6</td><td>ucf_selfie</td><td>UCF Selfie</td><td><a href="papers/041d3eedf5e45ce5c5229f0181c5c576ed1fafd6.html" target="_blank">How to Take a Good Selfie?</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>73%</td><td>11</td><td>8</td><td>3</td><td>0</td><td>7</td><td>5</td></tr><tr><td>44d23df380af207f5ac5b41459c722c87283e1eb</td><td>wider_attribute</td><td>WIDER Attribute</td><td><a href="papers/44d23df380af207f5ac5b41459c722c87283e1eb.html" target="_blank">Human Attribute Recognition by Deep Hierarchical Contexts</a></td><td><a href="https://pdfs.semanticscholar.org/8e28/07f2dd53b03a759e372e07f7191cae65c9fd.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>67%</td><td>18</td><td>12</td><td>6</td><td>0</td><td>14</td><td>4</td></tr><tr><td>44484d2866f222bbb9b6b0870890f9eea1ffb2d0</td><td>cuhk_campus_03</td><td>CUHK03 Campus</td><td><a href="papers/44484d2866f222bbb9b6b0870890f9eea1ffb2d0.html" target="_blank">Human Reidentification with Transferred Metric Learning</a></td><td><a href="http://www.ee.cuhk.edu.hk/~xgwang/papers/liZWaccv12.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>280</td><td>167</td><td>113</td><td>12</td><td>139</td><td>137</td></tr><tr><td>f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44</td><td>pa_100k</td><td>PA-100K</td><td><a href="papers/f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44.html" target="_blank">HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>55</td><td>30</td><td>25</td><td>0</td><td>36</td><td>17</td></tr><tr><td>57178b36c21fd7f4529ac6748614bb3374714e91</td><td>ijb_c</td><td>IJB-C</td><td><a href="papers/57178b36c21fd7f4529ac6748614bb3374714e91.html" target="_blank">IARPA Janus Benchmark - C: Face Dataset and Protocol</a></td><td><span class="gray">[pdf]</a></td><td>2018 International Conference on Biometrics (ICB)</td><td></td><td></td><td></td><td></td><td></td><td>36%</td><td>14</td><td>5</td><td>9</td><td>2</td><td>12</td><td>1</td></tr><tr><td>0cb2dd5f178e3a297a0c33068961018659d0f443</td><td>ijb_b</td><td>IJB-B</td><td><a href="papers/0cb2dd5f178e3a297a0c33068961018659d0f443.html" target="_blank">IARPA Janus Benchmark-B Face Dataset</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>34%</td><td>35</td><td>12</td><td>23</td><td>6</td><td>25</td><td>8</td></tr><tr><td>0297448f3ed948e136bb06ceff10eccb34e5bb77</td><td>ilids_mcts</td><td>i-LIDS Multiple-Camera</td><td><a href="papers/0297448f3ed948e136bb06ceff10eccb34e5bb77.html" target="_blank">Imagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems</a></td><td><span class="gray">[pdf]</a></td><td>Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology</td><td></td><td></td><td></td><td></td><td></td><td>40%</td><td>35</td><td>14</td><td>21</td><td>2</td><td>21</td><td>14</td></tr><tr><td>7f23a4bb0c777dd72cca7665a5f370ac7980217e</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/7f23a4bb0c777dd72cca7665a5f370ac7980217e.html" target="_blank">Improving Person Re-identification by Attribute and Identity Learning</a></td><td><a href="https://arxiv.org/pdf/1703.07220.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>48%</td><td>87</td><td>42</td><td>45</td><td>0</td><td>43</td><td>42</td></tr><tr><td>55c40cbcf49a0225e72d911d762c27bb1c2d14aa</td><td>ifad</td><td>IFAD</td><td><a href="papers/55c40cbcf49a0225e72d911d762c27bb1c2d14aa.html" target="_blank">Indian Face Age Database: A Database for Face Recognition with Age Variation</a></td><td><a href="https://pdfs.semanticscholar.org/025e/4cf3fd3fdeced91e9373b56ee14af7ca432c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>2</td><td>0</td></tr><tr><td>ca3e88d87e1344d076c964ea89d91a75c417f5ee</td><td>imfdb</td><td>IMFDB</td><td><a href="papers/ca3e88d87e1344d076c964ea89d91a75c417f5ee.html" target="_blank">Indian Movie Face Database: A benchmark for face recognition under wide variations</a></td><td><span class="gray">[pdf]</a></td><td>2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)</td><td>edu</td><td>BVBCET, Hubli, India</td><td>India</td><td>15.36883320</td><td>75.12137960</td><td>59%</td><td>17</td><td>10</td><td>7</td><td>0</td><td>11</td><td>5</td></tr><tr><td>95f12d27c3b4914e0668a268360948bce92f7db3</td><td>helen</td><td>Helen</td><td><a href="papers/95f12d27c3b4914e0668a268360948bce92f7db3.html" target="_blank">Interactive Facial Feature Localization</a></td><td><a href="https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>company</td><td>Facebook</td><td>United States</td><td>37.39367170</td><td>-122.08072620</td><td>57%</td><td>352</td><td>200</td><td>152</td><td>26</td><td>212</td><td>146</td></tr><tr><td>ad01687649d95cd5b56d7399a9603c4b8e2217d7</td><td>mrp_drone</td><td>MRP Drone</td><td><a href="papers/ad01687649d95cd5b56d7399a9603c4b8e2217d7.html" target="_blank">Investigating Open-World Person Re-identification Using a Drone</a></td><td><a href="https://pdfs.semanticscholar.org/ad01/687649d95cd5b56d7399a9603c4b8e2217d7.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>29%</td><td>7</td><td>2</td><td>5</td><td>1</td><td>5</td><td>2</td></tr><tr><td>2f43b614607163abf41dfe5d17ef6749a1b61304</td><td>hrt_transgender</td><td>HRT Transgender</td><td><a href="papers/2f43b614607163abf41dfe5d17ef6749a1b61304.html" target="_blank">Investigating the Periocular-Based Face Recognition Across Gender Transformation</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Information Forensics and Security</td><td>edu</td><td>University of North Carolina at Wilmington</td><td>United States</td><td>34.22498270</td><td>-77.86907744</td><td>69%</td><td>13</td><td>9</td><td>4</td><td>0</td><td>6</td><td>8</td></tr><tr><td>066d71fcd997033dce4ca58df924397dfe0b5fd1</td><td>ifdb</td><td>IFDB</td><td><a href="papers/066d71fcd997033dce4ca58df924397dfe0b5fd1.html" target="_blank">Iranian Face Database and Evaluation with a New Detection Algorithm</a></td><td><a href="https://pdfs.semanticscholar.org/066d/71fcd997033dce4ca58df924397dfe0b5fd1.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>b71d1aa90dcbe3638888725314c0d56640c1fef1</td><td>ifdb</td><td>IFDB</td><td><a href="papers/b71d1aa90dcbe3638888725314c0d56640c1fef1.html" target="_blank">Iranian Face Database with age, pose and expression</a></td><td><span class="gray">[pdf]</a></td><td>2007 International Conference on Machine Vision</td><td>edu</td><td>Islamic Azad University</td><td>Iran</td><td>34.84529990</td><td>48.55962120</td><td>30%</td><td>23</td><td>7</td><td>16</td><td>2</td><td>14</td><td>9</td></tr><tr><td>137aa2f891d474fce1e7a1d1e9b3aefe21e22b34</td><td>hrt_transgender</td><td>HRT Transgender</td><td><a href="papers/137aa2f891d474fce1e7a1d1e9b3aefe21e22b34.html" target="_blank">Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>7</td><td>4</td><td>3</td><td>1</td><td>3</td><td>5</td></tr><tr><td>0b440695c822a8e35184fb2f60dcdaa8a6de84ae</td><td>kinectface</td><td>KinectFaceDB</td><td><a href="papers/0b440695c822a8e35184fb2f60dcdaa8a6de84ae.html" target="_blank">KinectFaceDB: A Kinect Database for Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Systems, Man, and Cybernetics: Systems</td><td>edu</td><td>University of North Carolina at Chapel Hill</td><td>United States</td><td>35.91139710</td><td>-79.05045290</td><td>56%</td><td>82</td><td>46</td><td>36</td><td>6</td><td>28</td><td>52</td></tr><tr><td>4793f11fbca4a7dba898b9fff68f70d868e2497c</td><td>kin_face</td><td>UB KinFace</td><td><a href="papers/4793f11fbca4a7dba898b9fff68f70d868e2497c.html" target="_blank">Kinship Verification through Transfer Learning</a></td><td><a href="https://pdfs.semanticscholar.org/4793/f11fbca4a7dba898b9fff68f70d868e2497c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>71</td><td>40</td><td>31</td><td>2</td><td>29</td><td>42</td></tr><tr><td>2d3482dcff69c7417c7b933f22de606a0e8e42d4</td><td>lfw</td><td>LFW</td><td><a href="papers/2d3482dcff69c7417c7b933f22de606a0e8e42d4.html" target="_blank">Labeled Faces in the Wild : Updates and New Reporting Procedures</a></td><td><a href="https://pdfs.semanticscholar.org/2d34/82dcff69c7417c7b933f22de606a0e8e42d4.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>123</td><td>71</td><td>52</td><td>3</td><td>71</td><td>51</td></tr><tr><td>370b5757a5379b15e30d619e4d3fb9e8e13f3256</td><td>lfw</td><td>LFW</td><td><a href="papers/370b5757a5379b15e30d619e4d3fb9e8e13f3256.html" target="_blank">Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments</a></td><td><a href="https://pdfs.semanticscholar.org/c6b3/ca4f939e36a9679a70e14ce8b1bbbc5618f3.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>547</td><td>452</td><td>64</td><td>598</td><td>382</td></tr><tr><td>7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22</td><td>lfw</td><td>LFW</td><td><a href="papers/7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22.html" target="_blank">Labeled Faces in the Wild: A Survey</a></td><td><a href="https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>109</td><td>47</td><td>62</td><td>9</td><td>66</td><td>43</td></tr><tr><td>0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e</td><td>lag</td><td>LAG</td><td><a href="papers/0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e.html" target="_blank">Large age-gap face verification by feature injection in deep networks</a></td><td><a href="https://arxiv.org/pdf/1602.06149.pdf" target="_blank">[pdf]</a></td><td>Pattern Recognition Letters</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>7</td><td>3</td><td>4</td><td>0</td><td>3</td><td>4</td></tr><tr><td>07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1</td><td>uccs</td><td>UCCS</td><td><a href="papers/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1.html" target="_blank">Large scale unconstrained open set face database</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td></td><td></td><td></td><td></td><td></td><td>83%</td><td>6</td><td>5</td><td>1</td><td>0</td><td>4</td><td>2</td></tr><tr><td>4af89578ac237278be310f7660a408b03f12d603</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/4af89578ac237278be310f7660a408b03f12d603.html" target="_blank">Large-scale geo-facial image analysis</a></td><td><a href="https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf" target="_blank">[pdf]</a></td><td>EURASIP J. Image and Video Processing</td><td></td><td></td><td></td><td></td><td></td><td>83%</td><td>6</td><td>5</td><td>1</td><td>0</td><td>4</td><td>2</td></tr><tr><td>a0fd85b3400c7b3e11122f44dc5870ae2de9009a</td><td>mafl</td><td>MAFL</td><td><a href="papers/a0fd85b3400c7b3e11122f44dc5870ae2de9009a.html" target="_blank">Learning Deep Representation for Face Alignment with Auxiliary Attributes</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>108</td><td>56</td><td>52</td><td>11</td><td>66</td><td>44</td></tr><tr><td>a0fd85b3400c7b3e11122f44dc5870ae2de9009a</td><td>mtfl</td><td>MTFL</td><td><a href="papers/a0fd85b3400c7b3e11122f44dc5870ae2de9009a.html" target="_blank">Learning Deep Representation for Face Alignment with Auxiliary Attributes</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>108</td><td>56</td><td>52</td><td>11</td><td>66</td><td>44</td></tr><tr><td>853bd61bc48a431b9b1c7cab10c603830c488e39</td><td>casia_webface</td><td>CASIA Webface</td><td><a href="papers/853bd61bc48a431b9b1c7cab10c603830c488e39.html" target="_blank">Learning Face Representation from Scratch</a></td><td><a href="https://arxiv.org/pdf/1411.7923.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>476</td><td>277</td><td>199</td><td>26</td><td>290</td><td>182</td></tr><tr><td>2a171f8d14b6b8735001a11c217af9587d095848</td><td>social_relation</td><td>Social Relation</td><td><a href="papers/2a171f8d14b6b8735001a11c217af9587d095848.html" target="_blank">Learning Social Relation Traits from Face Images</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>23</td><td>10</td><td>13</td><td>4</td><td>16</td><td>7</td></tr><tr><td>4e4746094bf60ee83e40d8597a6191e463b57f76</td><td>leeds_sports_pose_extended</td><td>Leeds Sports Pose Extended</td><td><a href="papers/4e4746094bf60ee83e40d8597a6191e463b57f76.html" target="_blank">Learning effective human pose estimation from inaccurate annotation</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td>edu</td><td>University of Leeds</td><td>United Kingdom</td><td>53.80387185</td><td>-1.55245712</td><td>61%</td><td>169</td><td>103</td><td>66</td><td>8</td><td>108</td><td>65</td></tr><tr><td>287ddcb3db5562235d83aee318f318b8d5e43fb1</td><td>erce</td><td>ERCe</td><td><a href="papers/287ddcb3db5562235d83aee318f318b8d5e43fb1.html" target="_blank">Learning from Multiple Sources for Video Summarisation</a></td><td><a href="https://arxiv.org/pdf/1501.03069.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>7</td><td>4</td><td>3</td><td>0</td><td>4</td><td>3</td></tr><tr><td>287ddcb3db5562235d83aee318f318b8d5e43fb1</td><td>tisi</td><td>Times Square Intersection</td><td><a href="papers/287ddcb3db5562235d83aee318f318b8d5e43fb1.html" target="_blank">Learning from Multiple Sources for Video Summarisation</a></td><td><a href="https://arxiv.org/pdf/1501.03069.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>7</td><td>4</td><td>3</td><td>0</td><td>4</td><td>3</td></tr><tr><td>5981e6479c3fd4e31644db35d236bfb84ae46514</td><td>mot</td><td>MOT</td><td><a href="papers/5981e6479c3fd4e31644db35d236bfb84ae46514.html" target="_blank">Learning to associate: HybridBoosted multi-target tracker for crowded scene</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>University of Southern California</td><td>United States</td><td>34.02241490</td><td>-118.28634407</td><td>53%</td><td>326</td><td>172</td><td>153</td><td>27</td><td>190</td><td>137</td></tr><tr><td>6dd0597f8513dc100cd0bc1b493768cde45098a9</td><td>stickmen_buffy</td><td>Buffy Stickmen</td><td><a href="papers/6dd0597f8513dc100cd0bc1b493768cde45098a9.html" target="_blank">Learning to parse images of articulated bodies</a></td><td><a href="http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_899.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>369</td><td>207</td><td>161</td><td>32</td><td>237</td><td>131</td></tr><tr><td>6dd0597f8513dc100cd0bc1b493768cde45098a9</td><td>stickmen_pascal</td><td>Stickmen PASCAL</td><td><a href="papers/6dd0597f8513dc100cd0bc1b493768cde45098a9.html" target="_blank">Learning to parse images of articulated bodies</a></td><td><a href="http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_899.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>369</td><td>207</td><td>161</td><td>32</td><td>237</td><td>131</td></tr><tr><td>6dd0597f8513dc100cd0bc1b493768cde45098a9</td><td>stickmen_pascal</td><td>Stickmen PASCAL</td><td><a href="papers/6dd0597f8513dc100cd0bc1b493768cde45098a9.html" target="_blank">Learning to parse images of articulated bodies</a></td><td><a href="http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_899.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>369</td><td>207</td><td>161</td><td>32</td><td>237</td><td>131</td></tr><tr><td>28d4e027c7e90b51b7d8908fce68128d1964668a</td><td>megaface</td><td>MegaFace</td><td><a href="papers/28d4e027c7e90b51b7d8908fce68128d1964668a.html" target="_blank">Level Playing Field for Million Scale Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>39</td><td>19</td><td>20</td><td>2</td><td>29</td><td>9</td></tr><tr><td>46a01565e6afe7c074affb752e7069ee3bf2e4ef</td><td>sdu_vid</td><td>SDU-VID</td><td><a href="papers/46a01565e6afe7c074affb752e7069ee3bf2e4ef.html" target="_blank">Local Descriptors Encoded by Fisher Vectors for Person Re-identification</a></td><td><a href="https://pdfs.semanticscholar.org/a105/f1ef67b4b02da38eadce8ffb4e13aa301a93.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>197</td><td>112</td><td>85</td><td>16</td><td>108</td><td>88</td></tr><tr><td>140438a77a771a8fb656b39a78ff488066eb6b50</td><td>lfpw</td><td>LFWP</td><td><a href="papers/140438a77a771a8fb656b39a78ff488066eb6b50.html" target="_blank">Localizing Parts of Faces Using a Consensus of Exemplars</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>38b55d95189c5e69cf4ab45098a48fba407609b4</td><td>cuhk_campus_03</td><td>CUHK03 Campus</td><td><a href="papers/38b55d95189c5e69cf4ab45098a48fba407609b4.html" target="_blank">Locally Aligned Feature Transforms across Views</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>258</td><td>134</td><td>124</td><td>17</td><td>136</td><td>117</td></tr><tr><td>8990cdce3f917dad622e43e033db686b354d057c</td><td>tiny_faces</td><td>TinyFace</td><td><a href="papers/8990cdce3f917dad622e43e033db686b354d057c.html" target="_blank">Low-Resolution Face Recognition</a></td><td><a href="https://arxiv.org/pdf/1811.08965.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>c0387e788a52f10bf35d4d50659cfa515d89fbec</td><td>mars</td><td>MARS</td><td><a href="papers/c0387e788a52f10bf35d4d50659cfa515d89fbec.html" target="_blank">MARS: A Video Benchmark for Large-Scale Person Re-Identification</a></td><td><a href="https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>168</td><td>84</td><td>84</td><td>5</td><td>97</td><td>69</td></tr><tr><td>9055b155cbabdce3b98e16e5ac9c0edf00f9552f</td><td>morph</td><td>MORPH Commercial</td><td><a href="papers/9055b155cbabdce3b98e16e5ac9c0edf00f9552f.html" target="_blank">MORPH: a longitudinal image database of normal adult age-progression</a></td><td><span class="gray">[pdf]</a></td><td>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>437</td><td>225</td><td>211</td><td>24</td><td>228</td><td>203</td></tr><tr><td>9055b155cbabdce3b98e16e5ac9c0edf00f9552f</td><td>morph_nc</td><td>MORPH Non-Commercial</td><td><a href="papers/9055b155cbabdce3b98e16e5ac9c0edf00f9552f.html" target="_blank">MORPH: a longitudinal image database of normal adult age-progression</a></td><td><span class="gray">[pdf]</a></td><td>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>437</td><td>225</td><td>211</td><td>24</td><td>228</td><td>203</td></tr><tr><td>291265db88023e92bb8c8e6390438e5da148e8f5</td><td>msceleb</td><td>MsCeleb</td><td><a href="papers/291265db88023e92bb8c8e6390438e5da148e8f5.html" target="_blank">MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition</a></td><td><a href="https://arxiv.org/pdf/1607.08221.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>180</td><td>88</td><td>92</td><td>16</td><td>120</td><td>59</td></tr><tr><td>3dc3f0b64ef80f573e3a5f96e456e52ee980b877</td><td>georgia_tech_face_database</td><td>Georgia Tech Face</td><td><a href="papers/3dc3f0b64ef80f573e3a5f96e456e52ee980b877.html" target="_blank">Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition</a></td><td><a href="http://www.researchgate.net/profile/Monson_Hayes/publication/221124512_Maximum_Likelihood_Training_of_the_Embedded_HMM_for_Face_Detection_and_Recognition/links/0deec53509be9d6f55000000.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>42%</td><td>67</td><td>28</td><td>39</td><td>4</td><td>29</td><td>28</td></tr><tr><td>e58dd160a76349d46f881bd6ddbc2921f08d1050</td><td>gfw</td><td>Grouping Face in the Wild</td><td><a href="papers/e58dd160a76349d46f881bd6ddbc2921f08d1050.html" target="_blank">Merge or Not? Learning to Group Faces via Imitation Learning</a></td><td><a href="https://arxiv.org/pdf/1707.03986.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>2</td><td>0</td></tr><tr><td>5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725</td><td>50_people_one_question</td><td>50 People One Question</td><td><a href="papers/5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725.html" target="_blank">Merging Pose Estimates Across Space and Time</a></td><td><a href="http://authors.library.caltech.edu/41565/1/tracking_bmvc.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>81%</td><td>16</td><td>13</td><td>3</td><td>0</td><td>13</td><td>4</td></tr><tr><td>5e0f8c355a37a5a89351c02f174e7a5ddcb98683</td><td>coco</td><td>COCO</td><td><a href="papers/5e0f8c355a37a5a89351c02f174e7a5ddcb98683.html" target="_blank">Microsoft COCO: Common Objects in Context</a></td><td><a href="https://arxiv.org/pdf/1405.0312.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>545</td><td>454</td><td>26</td><td>722</td><td>259</td></tr><tr><td>41976ebc8ab76d9a6861487c97cc7fcbe3b6015f</td><td>moments_in_time</td><td>Moments in Time</td><td><a href="papers/41976ebc8ab76d9a6861487c97cc7fcbe3b6015f.html" target="_blank">Moments in Time Dataset: one million videos for event understanding</a></td><td><a href="https://arxiv.org/pdf/1801.03150.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>66%</td><td>29</td><td>19</td><td>10</td><td>2</td><td>27</td><td>2</td></tr><tr><td>436f798d1a4e54e5947c1e7d7375c31b2bdb4064</td><td>tud_multiview</td><td>TUD-Multiview</td><td><a href="papers/436f798d1a4e54e5947c1e7d7375c31b2bdb4064.html" target="_blank">Monocular 3D pose estimation and tracking by detection</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>TU Darmstadt</td><td>Germany</td><td>49.87482770</td><td>8.65632810</td><td>55%</td><td>311</td><td>172</td><td>139</td><td>35</td><td>208</td><td>105</td></tr><tr><td>436f798d1a4e54e5947c1e7d7375c31b2bdb4064</td><td>tud_stadtmitte</td><td>TUD-Stadtmitte</td><td><a href="papers/436f798d1a4e54e5947c1e7d7375c31b2bdb4064.html" target="_blank">Monocular 3D pose estimation and tracking by detection</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>TU Darmstadt</td><td>Germany</td><td>49.87482770</td><td>8.65632810</td><td>55%</td><td>311</td><td>172</td><td>139</td><td>35</td><td>208</td><td>105</td></tr><tr><td>3b5b6d19d4733ab606c39c69a889f9e67967f151</td><td>qmul_grid</td><td>GRID</td><td><a href="papers/3b5b6d19d4733ab606c39c69a889f9e67967f151.html" target="_blank">Multi-camera activity correlation analysis</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Queen Mary University of London</td><td>United Kingdom</td><td>51.52472720</td><td>-0.03931035</td><td>62%</td><td>142</td><td>88</td><td>54</td><td>7</td><td>77</td><td>64</td></tr><tr><td>6ad5a38df8dd4cdddd74f31996ce096d41219f72</td><td>tud_brussels</td><td>TUD-Brussels</td><td><a href="papers/6ad5a38df8dd4cdddd74f31996ce096d41219f72.html" target="_blank">Multi-cue onboard pedestrian detection</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>6ad5a38df8dd4cdddd74f31996ce096d41219f72</td><td>tud_motionpairs</td><td>TUD-Motionparis</td><td><a href="papers/6ad5a38df8dd4cdddd74f31996ce096d41219f72.html" target="_blank">Multi-cue onboard pedestrian detection</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>32c801cb7fbeb742edfd94cccfca4934baec71da</td><td>ucf_crowd</td><td>UCF-CC-50</td><td><a href="papers/32c801cb7fbeb742edfd94cccfca4934baec71da.html" target="_blank">Multi-source Multi-scale Counting in Extremely Dense Crowd Images</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>64%</td><td>148</td><td>95</td><td>53</td><td>5</td><td>80</td><td>65</td></tr><tr><td>1e3df3ca8feab0b36fd293fe689f93bb2aaac591</td><td>immediacy</td><td>Immediacy</td><td><a href="papers/1e3df3ca8feab0b36fd293fe689f93bb2aaac591.html" target="_blank">Multi-task Recurrent Neural Network for Immediacy Prediction</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>26</td><td>15</td><td>11</td><td>2</td><td>21</td><td>6</td></tr><tr><td>2b926b3586399d028b46315d7d9fb9d879e4f79c</td><td>frav3d</td><td>FRAV3D</td><td><a href="papers/2b926b3586399d028b46315d7d9fb9d879e4f79c.html" target="_blank">Multimodal 2D, 2.5D & 3D Face Verification</a></td><td><span class="gray">[pdf]</a></td><td>2006 International Conference on Image Processing</td><td>edu</td><td>Universidad Rey Juan Carlos, Spain</td><td>Spain</td><td>40.33586610</td><td>-3.87694320</td><td>50%</td><td>14</td><td>7</td><td>7</td><td>0</td><td>2</td><td>12</td></tr><tr><td>53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4</td><td>bp4d_plus</td><td>BP4D+</td><td><a href="papers/53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4.html" target="_blank">Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>48%</td><td>42</td><td>20</td><td>22</td><td>0</td><td>17</td><td>26</td></tr><tr><td>2fda164863a06a92d3a910b96eef927269aeb730</td><td>names_and_faces</td><td>News Dataset</td><td><a href="papers/2fda164863a06a92d3a910b96eef927269aeb730.html" target="_blank">Names and faces in the news</a></td><td><span class="gray">[pdf]</a></td><td>Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06</td><td>distance_nighttime</td><td>Long Distance Heterogeneous Face</td><td><a href="papers/4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06.html" target="_blank">Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching</a></td><td><a href="https://pdfs.semanticscholar.org/4156/b7e88f2e0ab0a7c095b9bab199ae2b23bd06.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>22</td><td>10</td><td>12</td><td>3</td><td>11</td><td>10</td></tr><tr><td>3394168ff0719b03ff65bcea35336a76b21fe5e4</td><td>penn_fudan</td><td>Penn Fudan</td><td><a href="papers/3394168ff0719b03ff65bcea35336a76b21fe5e4.html" target="_blank">Object Detection Combining Recognition and Segmentation</a></td><td><a href="https://pdfs.semanticscholar.org/3394/168ff0719b03ff65bcea35336a76b21fe5e4.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>105</td><td>53</td><td>52</td><td>9</td><td>58</td><td>43</td></tr><tr><td>12ad3b5bbbf407f8e54ea692c07633d1a867c566</td><td>graz</td><td>Graz Pedestrian</td><td><a href="papers/12ad3b5bbbf407f8e54ea692c07633d1a867c566.html" target="_blank">Object recognition using segmentation for feature detection</a></td><td><span class="gray">[pdf]</a></td><td>Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.</td><td>edu</td><td>Inst. of Comput. Sci., Univ. of Leoben, Austria</td><td>Austria</td><td>47.38473720</td><td>15.09302010</td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>4f93cd09785c6e77bf4bc5a788e079df524c8d21</td><td>soton</td><td>SOTON HiD</td><td><a href="papers/4f93cd09785c6e77bf4bc5a788e079df524c8d21.html" target="_blank">On a Large Sequence-Based Human Gait Database</a></td><td><a href="https://pdfs.semanticscholar.org/4f93/cd09785c6e77bf4bc5a788e079df524c8d21.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>150</td><td>90</td><td>60</td><td>17</td><td>103</td><td>51</td></tr><tr><td>6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c</td><td>afad</td><td>AFAD</td><td><a href="papers/6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c.html" target="_blank">Ordinal Regression with Multiple Output CNN for Age Estimation</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>78</td><td>35</td><td>43</td><td>8</td><td>44</td><td>31</td></tr><tr><td>a7fe834a0af614ce6b50dc093132b031dd9a856b</td><td>market_1501</td><td>Market 1501</td><td><a href="papers/a7fe834a0af614ce6b50dc093132b031dd9a856b.html" target="_blank">Orientation Driven Bag of Appearances for Person Re-identification</a></td><td><a href="https://arxiv.org/pdf/1605.02464.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>7</td><td>3</td><td>4</td><td>0</td><td>4</td><td>4</td></tr><tr><td>a7fe834a0af614ce6b50dc093132b031dd9a856b</td><td>pku_reid</td><td>PKU-Reid</td><td><a href="papers/a7fe834a0af614ce6b50dc093132b031dd9a856b.html" target="_blank">Orientation Driven Bag of Appearances for Person Re-identification</a></td><td><a href="https://arxiv.org/pdf/1605.02464.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>7</td><td>3</td><td>4</td><td>0</td><td>4</td><td>4</td></tr><tr><td>18ae7c9a4bbc832b8b14bc4122070d7939f5e00e</td><td>frgc</td><td>FRGC</td><td><a href="papers/18ae7c9a4bbc832b8b14bc4122070d7939f5e00e.html" target="_blank">Overview of the face recognition grand challenge</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)</td><td>edu</td><td>NIST</td><td>United States</td><td>39.14004000</td><td>-77.21850600</td><td>52%</td><td>999</td><td>519</td><td>479</td><td>86</td><td>549</td><td>442</td></tr><tr><td>22909dd19a0ec3b6065334cb5be5392cb24d839d</td><td>pets</td><td>PETS 2017</td><td><a href="papers/22909dd19a0ec3b6065334cb5be5392cb24d839d.html" target="_blank">PETS 2017: Dataset and Challenge</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>11%</td><td>9</td><td>1</td><td>8</td><td>0</td><td>1</td><td>8</td></tr><tr><td>56ffa7d906b08d02d6d5a12c7377a57e24ef3391</td><td>unbc_shoulder_pain</td><td>UNBC-McMaster Pain</td><td><a href="papers/56ffa7d906b08d02d6d5a12c7377a57e24ef3391.html" target="_blank">Painful data: The UNBC-McMaster shoulder pain expression archive database</a></td><td><span class="gray">[pdf]</a></td><td>Face and Gesture 2011</td><td>edu</td><td>Carnegie Mellon University Silicon Valley</td><td>United States</td><td>37.41021930</td><td>-122.05965487</td><td>51%</td><td>189</td><td>97</td><td>92</td><td>22</td><td>108</td><td>78</td></tr><tr><td>55206f0b5f57ce17358999145506cd01e570358c</td><td>orl</td><td>ORL</td><td><a href="papers/55206f0b5f57ce17358999145506cd01e570358c.html" target="_blank">Parameterisation of a stochastic model for human face identification</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>999</td><td>452</td><td>547</td><td>94</td><td>543</td><td>427</td></tr><tr><td>0486214fb58ee9a04edfe7d6a74c6d0f661a7668</td><td>chokepoint</td><td>ChokePoint</td><td><a href="papers/0486214fb58ee9a04edfe7d6a74c6d0f661a7668.html" target="_blank">Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>138</td><td>72</td><td>66</td><td>6</td><td>76</td><td>63</td></tr><tr><td>488e475eeb3bb39a145f23ede197cd3620f1d98a</td><td>apis</td><td>APiS1.0</td><td><a href="papers/488e475eeb3bb39a145f23ede197cd3620f1d98a.html" target="_blank">Pedestrian Attribute Classification in Surveillance: Database and Evaluation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision Workshops</td><td></td><td></td><td></td><td></td><td></td><td>68%</td><td>28</td><td>19</td><td>9</td><td>0</td><td>13</td><td>15</td></tr><tr><td>488e475eeb3bb39a145f23ede197cd3620f1d98a</td><td>svs</td><td>SVS</td><td><a href="papers/488e475eeb3bb39a145f23ede197cd3620f1d98a.html" target="_blank">Pedestrian Attribute Classification in Surveillance: Database and Evaluation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision Workshops</td><td></td><td></td><td></td><td></td><td></td><td>68%</td><td>28</td><td>19</td><td>9</td><td>0</td><td>13</td><td>15</td></tr><tr><td>2a4bbee0b4cf52d5aadbbc662164f7efba89566c</td><td>peta</td><td>PETA</td><td><a href="papers/2a4bbee0b4cf52d5aadbbc662164f7efba89566c.html" target="_blank">Pedestrian Attribute Recognition At Far Distance</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>62%</td><td>88</td><td>55</td><td>33</td><td>1</td><td>50</td><td>36</td></tr><tr><td>f72f6a45ee240cc99296a287ff725aaa7e7ebb35</td><td>caltech_pedestrians</td><td>Caltech Pedestrians</td><td><a href="papers/f72f6a45ee240cc99296a287ff725aaa7e7ebb35.html" target="_blank">Pedestrian Detection: An Evaluation of the State of the Art</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td>edu</td><td>California Institute of Technology</td><td>United States</td><td>34.13710185</td><td>-118.12527487</td><td>51%</td><td>999</td><td>510</td><td>489</td><td>71</td><td>526</td><td>466</td></tr><tr><td>1dc35905a1deff8bc74688f2d7e2f48fd2273275</td><td>caltech_pedestrians</td><td>Caltech Pedestrians</td><td><a href="papers/1dc35905a1deff8bc74688f2d7e2f48fd2273275.html" target="_blank">Pedestrian detection: A benchmark</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>3316521a5527c7700af8ae6aef32a79a8b83672c</td><td>tud_campus</td><td>TUD-Campus</td><td><a href="papers/3316521a5527c7700af8ae6aef32a79a8b83672c.html" target="_blank">People-tracking-by-detection and people-detection-by-tracking</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>545</td><td>287</td><td>257</td><td>40</td><td>330</td><td>218</td></tr><tr><td>3316521a5527c7700af8ae6aef32a79a8b83672c</td><td>tud_crossing</td><td>TUD-Crossing</td><td><a href="papers/3316521a5527c7700af8ae6aef32a79a8b83672c.html" target="_blank">People-tracking-by-detection and people-detection-by-tracking</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>545</td><td>287</td><td>257</td><td>40</td><td>330</td><td>218</td></tr><tr><td>3316521a5527c7700af8ae6aef32a79a8b83672c</td><td>tud_pedestrian</td><td>TUD-Pedestrian</td><td><a href="papers/3316521a5527c7700af8ae6aef32a79a8b83672c.html" target="_blank">People-tracking-by-detection and people-detection-by-tracking</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>545</td><td>287</td><td>257</td><td>40</td><td>330</td><td>218</td></tr><tr><td>27a2fad58dd8727e280f97036e0d2bc55ef5424c</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/27a2fad58dd8727e280f97036e0d2bc55ef5424c.html" target="_blank">Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking</a></td><td><a href="https://arxiv.org/pdf/1609.01775.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Duke University</td><td>United States</td><td>35.99905220</td><td>-78.92906290</td><td>53%</td><td>169</td><td>89</td><td>80</td><td>6</td><td>113</td><td>54</td></tr><tr><td>27a2fad58dd8727e280f97036e0d2bc55ef5424c</td><td>mot</td><td>MOT</td><td><a href="papers/27a2fad58dd8727e280f97036e0d2bc55ef5424c.html" target="_blank">Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking</a></td><td><a href="https://arxiv.org/pdf/1609.01775.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Duke University</td><td>United States</td><td>35.99905220</td><td>-78.92906290</td><td>53%</td><td>169</td><td>89</td><td>80</td><td>6</td><td>113</td><td>54</td></tr><tr><td>16c7c31a7553d99f1837fc6e88e77b5ccbb346b8</td><td>prid</td><td>PRID</td><td><a href="papers/16c7c31a7553d99f1837fc6e88e77b5ccbb346b8.html" target="_blank">Person Re-identification by Descriptive and Discriminative Classification</a></td><td><a href="https://pdfs.semanticscholar.org/4c1b/f0592be3e535faf256c95e27982db9b3d3d3.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>386</td><td>220</td><td>166</td><td>25</td><td>204</td><td>180</td></tr><tr><td>98bb029afe2a1239c3fdab517323066f0957b81b</td><td>ilids_mcts_vid</td><td>iLIDS-VID</td><td><a href="papers/98bb029afe2a1239c3fdab517323066f0957b81b.html" target="_blank">Person Re-identification by Video Ranking</a></td><td><a href="https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>209</td><td>121</td><td>88</td><td>9</td><td>111</td><td>97</td></tr><tr><td>98bb029afe2a1239c3fdab517323066f0957b81b</td><td>sdu_vid</td><td>SDU-VID</td><td><a href="papers/98bb029afe2a1239c3fdab517323066f0957b81b.html" target="_blank">Person Re-identification by Video Ranking</a></td><td><a href="https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>209</td><td>121</td><td>88</td><td>9</td><td>111</td><td>97</td></tr><tr><td>0b84f07af44f964817675ad961def8a51406dd2e</td><td>prw</td><td>PRW</td><td><a href="papers/0b84f07af44f964817675ad961def8a51406dd2e.html" target="_blank">Person Re-identification in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>77</td><td>35</td><td>42</td><td>2</td><td>47</td><td>27</td></tr><tr><td>a0cc5f73a37723a6dd465924143f1cb4976d0169</td><td>msmt_17</td><td>MSMT17</td><td><a href="papers/a0cc5f73a37723a6dd465924143f1cb4976d0169.html" target="_blank">Person Transfer GAN to Bridge Domain Gap for Person Re-identification</a></td><td><span class="gray">[pdf]</a></td><td>2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>71%</td><td>24</td><td>17</td><td>7</td><td>1</td><td>20</td><td>4</td></tr><tr><td>1c2802c2199b6d15ecefe7ba0c39bfe44363de38</td><td>youtube_poses</td><td>YouTube Pose</td><td><a href="papers/1c2802c2199b6d15ecefe7ba0c39bfe44363de38.html" target="_blank">Personalizing Human Video Pose Estimation</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>36</td><td>20</td><td>16</td><td>2</td><td>30</td><td>8</td></tr><tr><td>2830fb5282de23d7784b4b4bc37065d27839a412</td><td>h3d</td><td>H3D</td><td><a href="papers/2830fb5282de23d7784b4b4bc37065d27839a412.html" target="_blank">Poselets: Body part detectors trained using 3D human pose annotations</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE 12th International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>716</td><td>370</td><td>346</td><td>60</td><td>492</td><td>222</td></tr><tr><td>3765df816dc5a061bc261e190acc8bdd9d47bec0</td><td>rafd</td><td>RaFD</td><td><a href="papers/3765df816dc5a061bc261e190acc8bdd9d47bec0.html" target="_blank">Presentation and validation of the Radboud Faces Database</a></td><td><a href="https://pdfs.semanticscholar.org/3765/df816dc5a061bc261e190acc8bdd9d47bec0.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>39%</td><td>487</td><td>192</td><td>295</td><td>39</td><td>342</td><td>144</td></tr><tr><td>636b8ffc09b1b23ff714ac8350bb35635e49fa3c</td><td>caltech_10k_web_faces</td><td>Caltech 10K Web Faces</td><td><a href="papers/636b8ffc09b1b23ff714ac8350bb35635e49fa3c.html" target="_blank">Pruning training sets for learning of object categories</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)</td><td></td><td></td><td></td><td></td><td></td><td>63%</td><td>63</td><td>40</td><td>23</td><td>5</td><td>42</td><td>20</td></tr><tr><td>3531332efe19be21e7401ba1f04570a142617236</td><td>ufdd</td><td>UFDD</td><td><a href="papers/3531332efe19be21e7401ba1f04570a142617236.html" target="_blank">Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results</a></td><td><a href="https://arxiv.org/pdf/1804.10275.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>25%</td><td>4</td><td>1</td><td>3</td><td>1</td><td>4</td><td>0</td></tr><tr><td>140c95e53c619eac594d70f6369f518adfea12ef</td><td>ijb_a</td><td>IJB-A</td><td><a href="papers/140c95e53c619eac594d70f6369f518adfea12ef.html" target="_blank">Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>237</td><td>123</td><td>114</td><td>22</td><td>159</td><td>76</td></tr><tr><td>c72a2ea819df9b0e8cd267eebcc6528b8741e03d</td><td>megaage</td><td>MegaAge</td><td><a href="papers/c72a2ea819df9b0e8cd267eebcc6528b8741e03d.html" target="_blank">Quantifying Facial Age by Posterior of Age Comparisons</a></td><td><a href="https://arxiv.org/pdf/1708.09687.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>25%</td><td>4</td><td>1</td><td>3</td><td>1</td><td>4</td><td>0</td></tr><tr><td>922e0a51a3b8c67c4c6ac09a577ff674cbd28b34</td><td>v47</td><td>V47</td><td><a href="papers/922e0a51a3b8c67c4c6ac09a577ff674cbd28b34.html" target="_blank">Re-identification of pedestrians with variable occlusion and scale</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td>edu</td><td>Kingston University</td><td>United Kingdom</td><td>51.42930860</td><td>-0.26840440</td><td>11%</td><td>9</td><td>1</td><td>8</td><td>2</td><td>5</td><td>4</td></tr><tr><td>6f3c76b7c0bd8e1d122c6ea808a271fd4749c951</td><td>ward</td><td>WARD</td><td><a href="papers/6f3c76b7c0bd8e1d122c6ea808a271fd4749c951.html" target="_blank">Re-identify people in wide area camera network</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops</td><td>edu</td><td>University of Udine</td><td>Italy</td><td>46.08107230</td><td>13.21194740</td><td>38%</td><td>60</td><td>23</td><td>37</td><td>1</td><td>38</td><td>21</td></tr><tr><td>54983972aafc8e149259d913524581357b0f91c3</td><td>reseed</td><td>ReSEED</td><td><a href="papers/54983972aafc8e149259d913524581357b0f91c3.html" target="_blank">ReSEED: social event dEtection dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>67%</td><td>6</td><td>4</td><td>2</td><td>1</td><td>1</td><td>5</td></tr><tr><td>65355cbb581a219bd7461d48b3afd115263ea760</td><td>complex_activities</td><td>Ongoing Complex Activities</td><td><a href="papers/65355cbb581a219bd7461d48b3afd115263ea760.html" target="_blank">Recognition of ongoing complex activities by sequence prediction over a hierarchical label space</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Winter Conference on Applications of Computer Vision (WACV)</td><td></td><td></td><td></td><td></td><td></td><td>33%</td><td>3</td><td>1</td><td>2</td><td>0</td><td>3</td><td>0</td></tr><tr><td>e8de844fefd54541b71c9823416daa238be65546</td><td>visual_phrases</td><td>Phrasal Recognition</td><td><a href="papers/e8de844fefd54541b71c9823416daa238be65546.html" target="_blank">Recognition using visual phrases</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td>edu</td><td>University of Illinois, Urbana-Champaign</td><td>United States</td><td>40.11116745</td><td>-88.22587665</td><td>55%</td><td>246</td><td>135</td><td>111</td><td>18</td><td>170</td><td>68</td></tr><tr><td>356b431d4f7a2a0a38cf971c84568207dcdbf189</td><td>wider</td><td>WIDER</td><td><a href="papers/356b431d4f7a2a0a38cf971c84568207dcdbf189.html" target="_blank">Recognize complex events from static images by fusing deep channels</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>66%</td><td>44</td><td>29</td><td>15</td><td>1</td><td>29</td><td>15</td></tr><tr><td>25474c21613607f6bb7687a281d5f9d4ffa1f9f3</td><td>faceplace</td><td>Face Place</td><td><a href="papers/25474c21613607f6bb7687a281d5f9d4ffa1f9f3.html" target="_blank">Recognizing disguised faces</a></td><td><a href="https://pdfs.semanticscholar.org/d936/7ceb0be378c3a9ddf7cb741c678c1a3c574c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>31%</td><td>29</td><td>9</td><td>20</td><td>0</td><td>18</td><td>10</td></tr><tr><td>4053e3423fb70ad9140ca89351df49675197196a</td><td>bio_id</td><td>BioID Face</td><td><a href="papers/4053e3423fb70ad9140ca89351df49675197196a.html" target="_blank">Robust Face Detection Using the Hausdorff Distance</a></td><td><a href="https://pdfs.semanticscholar.org/4053/e3423fb70ad9140ca89351df49675197196a.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>48%</td><td>511</td><td>247</td><td>264</td><td>51</td><td>329</td><td>182</td></tr><tr><td>2724ba85ec4a66de18da33925e537f3902f21249</td><td>cofw</td><td>COFW</td><td><a href="papers/2724ba85ec4a66de18da33925e537f3902f21249.html" target="_blank">Robust Face Landmark Estimation under Occlusion</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision</td><td>edu</td><td>California Institute of Technology</td><td>United States</td><td>34.13710185</td><td>-118.12527487</td><td>57%</td><td>325</td><td>185</td><td>140</td><td>19</td><td>194</td><td>133</td></tr><tr><td>c570d1247e337f91e555c3be0e8c8a5aba539d9f</td><td>mcgill</td><td>McGill Real World</td><td><a href="papers/c570d1247e337f91e555c3be0e8c8a5aba539d9f.html" target="_blank">Robust semi-automatic head pose labeling for real-world face video sequences</a></td><td><span class="gray">[pdf]</a></td><td>Multimedia Tools and Applications</td><td>edu</td><td>McGill University</td><td>Canada</td><td>45.50397610</td><td>-73.57496870</td><td>44%</td><td>18</td><td>8</td><td>10</td><td>0</td><td>13</td><td>7</td></tr><tr><td>e27ef52c641c2b5100a1b34fd0b819e84a31b4df</td><td>sarc3d</td><td>Sarc3D</td><td><a href="papers/e27ef52c641c2b5100a1b34fd0b819e84a31b4df.html" target="_blank">SARC3D: A New 3D Body Model for People Tracking and Re-identification</a></td><td><a href="https://pdfs.semanticscholar.org/e27e/f52c641c2b5100a1b34fd0b819e84a31b4df.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>34</td><td>16</td><td>18</td><td>3</td><td>21</td><td>12</td></tr><tr><td>bd26dabab576adb6af30484183c9c9c8379bf2e0</td><td>scut_fbp</td><td>SCUT-FBP</td><td><a href="papers/bd26dabab576adb6af30484183c9c9c8379bf2e0.html" target="_blank">SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Systems, Man, and Cybernetics</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>19</td><td>9</td><td>10</td><td>2</td><td>6</td><td>13</td></tr><tr><td>29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d</td><td>scface</td><td>SCface</td><td><a href="papers/29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d.html" target="_blank">SCface – surveillance cameras face database</a></td><td><a href="http://scface.org/SCface%20-%20Surveillance%20Cameras%20Face%20Database.pdf" target="_blank">[pdf]</a></td><td>Multimedia Tools and Applications</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>179</td><td>94</td><td>85</td><td>15</td><td>88</td><td>89</td></tr><tr><td>d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9</td><td>stair_actions</td><td>STAIR Action</td><td><a href="papers/d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9.html" target="_blank">STAIR Actions: A Video Dataset of Everyday Home Actions</a></td><td><a href="https://arxiv.org/pdf/1804.04326.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><td>833fa04463d90aab4a9fe2870d480f0b40df446e</td><td>sun_attributes</td><td>SUN</td><td><a href="papers/833fa04463d90aab4a9fe2870d480f0b40df446e.html" target="_blank">SUN attribute database: Discovering, annotating, and recognizing scene attributes</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Brown University</td><td>United States</td><td>41.82686820</td><td>-71.40123146</td><td>58%</td><td>264</td><td>154</td><td>110</td><td>27</td><td>206</td><td>56</td></tr><tr><td>4308bd8c28e37e2ed9a3fcfe74d5436cce34b410</td><td>market_1501</td><td>Market 1501</td><td><a href="papers/4308bd8c28e37e2ed9a3fcfe74d5436cce34b410.html" target="_blank">Scalable Person Re-identification: A Benchmark</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>460</td><td>254</td><td>206</td><td>16</td><td>263</td><td>185</td></tr><tr><td>9c23859ec7313f2e756a3e85575735e0c52249f4</td><td>facebook_100</td><td>Facebook100</td><td><a href="papers/9c23859ec7313f2e756a3e85575735e0c52249f4.html" target="_blank">Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td>edu</td><td>Harvard University</td><td>United States</td><td>42.36782045</td><td>-71.12666653</td><td>52%</td><td>52</td><td>27</td><td>25</td><td>3</td><td>38</td><td>13</td></tr><tr><td>9c23859ec7313f2e756a3e85575735e0c52249f4</td><td>pubfig_83</td><td>pubfig83</td><td><a href="papers/9c23859ec7313f2e756a3e85575735e0c52249f4.html" target="_blank">Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td>edu</td><td>Harvard University</td><td>United States</td><td>42.36782045</td><td>-71.12666653</td><td>52%</td><td>52</td><td>27</td><td>25</td><td>3</td><td>38</td><td>13</td></tr><tr><td>51eba481dac6b229a7490f650dff7b17ce05df73</td><td>imsitu</td><td>imSitu</td><td><a href="papers/51eba481dac6b229a7490f650dff7b17ce05df73.html" target="_blank">Situation Recognition: Visual Semantic Role Labeling for Image Understanding</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>62%</td><td>52</td><td>32</td><td>20</td><td>1</td><td>46</td><td>6</td></tr><tr><td>570f37ed63142312e6ccdf00ecc376341ec72b9f</td><td>stanford_drone</td><td>Stanford Drone</td><td><a href="papers/570f37ed63142312e6ccdf00ecc376341ec72b9f.html" target="_blank">Social LSTM: Human Trajectory Prediction in Crowded Spaces</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>224</td><td>110</td><td>114</td><td>3</td><td>140</td><td>81</td></tr><tr><td>23e824d1dfc33f3780dd18076284f07bd99f1c43</td><td>mifs</td><td>MIFS</td><td><a href="papers/23e824d1dfc33f3780dd18076284f07bd99f1c43.html" target="_blank">Spoofing faces using makeup: An investigative study</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)</td><td>edu</td><td>INRIA Méditerranée</td><td>France</td><td>43.61581310</td><td>7.06838000</td><td>67%</td><td>6</td><td>4</td><td>2</td><td>0</td><td>1</td><td>5</td></tr><tr><td>1a40092b493c6b8840257ab7f96051d1a4dbfeb2</td><td>sports_videos_in_the_wild</td><td>SVW</td><td><a href="papers/1a40092b493c6b8840257ab7f96051d1a4dbfeb2.html" target="_blank">Sports Videos in the Wild (SVW): A video dataset for sports analysis</a></td><td><span class="gray">[pdf]</a></td><td>2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</td><td></td><td></td><td></td><td></td><td></td><td>86%</td><td>7</td><td>6</td><td>1</td><td>1</td><td>5</td><td>2</td></tr><tr><td>9361b784e73e9238d5cefbea5ac40d35d1e3103f</td><td>town_centre</td><td>TownCentre</td><td><a href="papers/9361b784e73e9238d5cefbea5ac40d35d1e3103f.html" target="_blank">Stable multi-target tracking in real-time surveillance video</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>328</td><td>153</td><td>175</td><td>24</td><td>186</td><td>140</td></tr><tr><td>2306b2a8fba28539306052764a77a0d0f5d1236a</td><td>qmul_surv_face</td><td>QMUL-SurvFace</td><td><a href="papers/2306b2a8fba28539306052764a77a0d0f5d1236a.html" target="_blank">Surveillance Face Recognition Challenge</a></td><td><a href="https://arxiv.org/pdf/1804.09691.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td>edu</td><td>Queen Mary University of London</td><td>United Kingdom</td><td>51.52472720</td><td>-0.03931035</td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><td>f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f</td><td>pku_reid</td><td>PKU-Reid</td><td><a href="papers/f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f.html" target="_blank">Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification</a></td><td><a href="https://pdfs.semanticscholar.org/f6c8/d5e35d7e4d60a0104f233ac1a3ab757da53f.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>4</td><td>2</td><td>2</td><td>0</td><td>1</td><td>2</td></tr><tr><td>4d58f886f5150b2d5e48fd1b5a49e09799bf895d</td><td>texas_3dfrd</td><td>Texas 3DFRD</td><td><a href="papers/4d58f886f5150b2d5e48fd1b5a49e09799bf895d.html" target="_blank">Texas 3D Face Recognition Database</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>66</td><td>29</td><td>37</td><td>3</td><td>40</td><td>27</td></tr><tr><td>6d96f946aaabc734af7fe3fc4454cf8547fcd5ed</td><td>ar_facedb</td><td>AR Face</td><td><a href="papers/6d96f946aaabc734af7fe3fc4454cf8547fcd5ed.html" target="_blank">The AR face database</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>999</td><td>519</td><td>480</td><td>56</td><td>455</td><td>530</td></tr><tr><td>2485c98aa44131d1a2f7d1355b1e372f2bb148ad</td><td>cas_peal</td><td>CAS-PEAL</td><td><a href="papers/2485c98aa44131d1a2f7d1355b1e372f2bb148ad.html" target="_blank">The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>429</td><td>218</td><td>211</td><td>39</td><td>198</td><td>234</td></tr><tr><td>47662d1a368daf70ba70ef2d59eb6209f98b675d</td><td>fia</td><td>CMU FiA</td><td><a href="papers/47662d1a368daf70ba70ef2d59eb6209f98b675d.html" target="_blank">The CMU Face In Action (FIA) Database</a></td><td><a href="https://pdfs.semanticscholar.org/4766/2d1a368daf70ba70ef2d59eb6209f98b675d.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>39%</td><td>54</td><td>21</td><td>33</td><td>5</td><td>40</td><td>16</td></tr><tr><td>4d423acc78273b75134e2afd1777ba6d3a398973</td><td>cmu_pie</td><td>CMU PIE</td><td><a href="papers/4d423acc78273b75134e2afd1777ba6d3a398973.html" target="_blank">The CMU Pose, Illumination, and Expression (PIE) Database</a></td><td><a href="http://www.comp.nus.edu.sg/~tsim/piedb.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>760</td><td>409</td><td>350</td><td>50</td><td>404</td><td>345</td></tr><tr><td>4d423acc78273b75134e2afd1777ba6d3a398973</td><td>multi_pie</td><td>MULTIPIE</td><td><a href="papers/4d423acc78273b75134e2afd1777ba6d3a398973.html" target="_blank">The CMU Pose, Illumination, and Expression (PIE) Database</a></td><td><a href="http://www.comp.nus.edu.sg/~tsim/piedb.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>760</td><td>409</td><td>350</td><td>50</td><td>404</td><td>345</td></tr><tr><td>4df3143922bcdf7db78eb91e6b5359d6ada004d2</td><td>cfd</td><td>CFD</td><td><a href="papers/4df3143922bcdf7db78eb91e6b5359d6ada004d2.html" target="_blank">The Chicago face database: A free stimulus set of faces and norming data.</a></td><td><a href="https://pdfs.semanticscholar.org/4df3/143922bcdf7db78eb91e6b5359d6ada004d2.pdf" target="_blank">[pdf]</a></td><td>Behavior research methods</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>99</td><td>52</td><td>47</td><td>1</td><td>73</td><td>21</td></tr><tr><td>20388099cc415c772926e47bcbbe554e133343d1</td><td>cafe</td><td>#N/A</td><td><a href="papers/20388099cc415c772926e47bcbbe554e133343d1.html" target="_blank">The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults</a></td><td><a href="https://pdfs.semanticscholar.org/2038/8099cc415c772926e47bcbbe554e133343d1.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>37</td><td>17</td><td>20</td><td>3</td><td>30</td><td>7</td></tr><tr><td>4e6ee936eb50dd032f7138702fa39b7c18ee8907</td><td>dartmouth_children</td><td>Dartmouth Children</td><td><a href="papers/4e6ee936eb50dd032f7138702fa39b7c18ee8907.html" target="_blank">The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set</a></td><td><a href="https://pdfs.semanticscholar.org/4e6e/e936eb50dd032f7138702fa39b7c18ee8907.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>38%</td><td>21</td><td>8</td><td>13</td><td>2</td><td>18</td><td>3</td></tr><tr><td>9e31e77f9543ab42474ba4e9330676e18c242e72</td><td>imdb_face</td><td>IMDb Face</td><td><a href="papers/9e31e77f9543ab42474ba4e9330676e18c242e72.html" target="_blank">The Devil of Face Recognition is in the Noise</a></td><td><a href="https://arxiv.org/pdf/1807.11649.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>company</td><td>SenseTime</td><td>China</td><td>39.99300800</td><td>116.32988200</td><td>17%</td><td>6</td><td>1</td><td>5</td><td>0</td><td>4</td><td>1</td></tr><tr><td>71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6</td><td>umd_faces</td><td>UMD</td><td><a href="papers/71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6.html" target="_blank">The Do’s and Don’ts for CNN-Based Face Verification</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision Workshops (ICCVW)</td><td></td><td></td><td></td><td></td><td></td><td>38%</td><td>26</td><td>10</td><td>16</td><td>3</td><td>16</td><td>8</td></tr><tr><td>72a155c987816ae81c858fddbd6beab656d86220</td><td>europersons</td><td>EuroCity Persons</td><td><a href="papers/72a155c987816ae81c858fddbd6beab656d86220.html" target="_blank">The EuroCity Persons Dataset: A Novel Benchmark for Object Detection</a></td><td><a href="https://arxiv.org/pdf/1805.07193.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>0%</td><td>2</td><td>0</td><td>2</td><td>0</td><td>2</td><td>0</td></tr><tr><td>4d9a02d080636e9666c4d1cc438b9893391ec6c7</td><td>cohn_kanade_plus</td><td>CK+</td><td><a href="papers/4d9a02d080636e9666c4d1cc438b9893391ec6c7.html" target="_blank">The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops</td><td>edu</td><td>University of Pittsburgh</td><td>United States</td><td>40.44415295</td><td>-79.96243993</td><td>54%</td><td>999</td><td>543</td><td>456</td><td>58</td><td>470</td><td>518</td></tr><tr><td>0f0fcf041559703998abf310e56f8a2f90ee6f21</td><td>feret</td><td>FERET</td><td><a href="papers/0f0fcf041559703998abf310e56f8a2f90ee6f21.html" target="_blank">The FERET Evaluation Methodology for Face-Recognition Algorithms</a></td><td><a href="https://pdfs.semanticscholar.org/5099/7a5605c1f61e09e9a96789ed7495be6625aa.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>28%</td><td>29</td><td>8</td><td>21</td><td>3</td><td>18</td><td>9</td></tr><tr><td>0c4a139bb87c6743c7905b29a3cfec27a5130652</td><td>feret</td><td>FERET</td><td><a href="papers/0c4a139bb87c6743c7905b29a3cfec27a5130652.html" target="_blank">The FERET Verification Testing Protocol for Face Recognition Algorithms</a></td><td><a href="https://pdfs.semanticscholar.org/8d2a/1c768fce6f71584dd993fb97e7b6419aaf60.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>115</td><td>49</td><td>66</td><td>8</td><td>75</td><td>37</td></tr><tr><td>dc8b25e35a3acb812beb499844734081722319b4</td><td>feret</td><td>FERET</td><td><a href="papers/dc8b25e35a3acb812beb499844734081722319b4.html" target="_blank">The FERET database and evaluation procedure for face-recognition algorithms</a></td><td><a href="http://biometrics.nist.gov/cs_links/face/frvt/feret/FERET_Database_evaluation_procedure.pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>999</td><td>455</td><td>544</td><td>103</td><td>590</td><td>421</td></tr><tr><td>8f02ec0be21461fbcedf51d864f944cfc42c875f</td><td>hda_plus</td><td>HDA+</td><td><a href="papers/8f02ec0be21461fbcedf51d864f944cfc42c875f.html" target="_blank">The HDA+ Data Set for Research on Fully Automated Re-identification Systems</a></td><td><a href="https://pdfs.semanticscholar.org/8f02/ec0be21461fbcedf51d864f944cfc42c875f.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>25%</td><td>16</td><td>4</td><td>12</td><td>2</td><td>10</td><td>6</td></tr><tr><td>8be57cdad86fdf8c8290df4ca3149592f3c46dd3</td><td>m2vts</td><td>m2vts</td><td><a href="papers/8be57cdad86fdf8c8290df4ca3149592f3c46dd3.html" target="_blank">The M2VTS Multimodal Face Database (Release 1.00)</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>73</td><td>32</td><td>41</td><td>2</td><td>39</td><td>33</td></tr><tr><td>ea050801199f98a1c7c1df6769f23f658299a3ae</td><td>mpi_large</td><td>Large MPI Facial Expression</td><td><a href="papers/ea050801199f98a1c7c1df6769f23f658299a3ae.html" target="_blank">The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions</a></td><td><a href="https://pdfs.semanticscholar.org/ea05/0801199f98a1c7c1df6769f23f658299a3ae.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>33</td><td>15</td><td>18</td><td>4</td><td>29</td><td>4</td></tr><tr><td>ea050801199f98a1c7c1df6769f23f658299a3ae</td><td>mpi_small</td><td>Small MPI Facial Expression</td><td><a href="papers/ea050801199f98a1c7c1df6769f23f658299a3ae.html" target="_blank">The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions</a></td><td><a href="https://pdfs.semanticscholar.org/ea05/0801199f98a1c7c1df6769f23f658299a3ae.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>33</td><td>15</td><td>18</td><td>4</td><td>29</td><td>4</td></tr><tr><td>578d4ad74818086bb64f182f72e2c8bd31e3d426</td><td>mr2</td><td>MR2</td><td><a href="papers/578d4ad74818086bb64f182f72e2c8bd31e3d426.html" target="_blank">The MR2: A multi-racial, mega-resolution database of facial stimuli.</a></td><td><a href="http://www.mpmlab.org/The%20MR2%20face%20database.pdf" target="_blank">[pdf]</a></td><td>Behavior research methods</td><td></td><td></td><td></td><td></td><td></td><td>14%</td><td>7</td><td>1</td><td>6</td><td>0</td><td>7</td><td>0</td></tr><tr><td>f1af714b92372c8e606485a3982eab2f16772ad8</td><td>mug_faces</td><td>MUG Faces</td><td><a href="papers/f1af714b92372c8e606485a3982eab2f16772ad8.html" target="_blank">The MUG facial expression database</a></td><td><span class="gray">[pdf]</a></td><td>11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10</td><td>edu</td><td>Aristotle University of Thessaloniki</td><td>Greece</td><td>40.62984145</td><td>22.95889350</td><td>41%</td><td>82</td><td>34</td><td>48</td><td>5</td><td>34</td><td>47</td></tr><tr><td>79828e6e9f137a583082b8b5a9dfce0c301989b8</td><td>mapillary</td><td>Mapillary</td><td><a href="papers/79828e6e9f137a583082b8b5a9dfce0c301989b8.html" target="_blank">The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>61</td><td>28</td><td>33</td><td>0</td><td>43</td><td>16</td></tr><tr><td>96e0cfcd81cdeb8282e29ef9ec9962b125f379b0</td><td>megaface</td><td>MegaFace</td><td><a href="papers/96e0cfcd81cdeb8282e29ef9ec9962b125f379b0.html" target="_blank">The MegaFace Benchmark: 1 Million Faces for Recognition at Scale</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>139</td><td>74</td><td>65</td><td>9</td><td>100</td><td>37</td></tr><tr><td>0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a</td><td>voc</td><td>VOC</td><td><a href="papers/0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a.html" target="_blank">The Pascal Visual Object Classes (VOC) Challenge</a></td><td><a href="http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>999</td><td>544</td><td>454</td><td>30</td><td>557</td><td>422</td></tr><tr><td>66e6f08873325d37e0ec20a4769ce881e04e964e</td><td>sun_attributes</td><td>SUN</td><td><a href="papers/66e6f08873325d37e0ec20a4769ce881e04e964e.html" target="_blank">The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding</a></td><td><a href="http://www.cc.gatech.edu/~hays/papers/attribute_ijcv.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>116</td><td>69</td><td>47</td><td>14</td><td>84</td><td>31</td></tr><tr><td>8b2dd5c61b23ead5ae5508bb8ce808b5ea266730</td><td>10k_US_adult_faces</td><td>10K US Adult Faces</td><td><a href="papers/8b2dd5c61b23ead5ae5508bb8ce808b5ea266730.html" target="_blank">The intrinsic memorability of face photographs.</a></td><td><a href="https://pdfs.semanticscholar.org/8b2d/d5c61b23ead5ae5508bb8ce808b5ea266730.pdf" target="_blank">[pdf]</a></td><td>Journal of experimental psychology. General</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>52</td><td>27</td><td>25</td><td>2</td><td>36</td><td>14</td></tr><tr><td>d178cde92ab3dc0dd2ebee5a76a33d556c39448b</td><td>jiku_mobile</td><td>Jiku Mobile Video Dataset</td><td><a href="papers/d178cde92ab3dc0dd2ebee5a76a33d556c39448b.html" target="_blank">The jiku mobile video dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>National University of Singapore</td><td>Singapore</td><td>1.29620180</td><td>103.77689944</td><td>71%</td><td>24</td><td>17</td><td>7</td><td>0</td><td>6</td><td>19</td></tr><tr><td>ae0aee03d946efffdc7af2362a42d3750e7dd48a</td><td>put_face</td><td>Put Face</td><td><a href="papers/ae0aee03d946efffdc7af2362a42d3750e7dd48a.html" target="_blank">The put face database</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>99</td><td>43</td><td>56</td><td>7</td><td>54</td><td>48</td></tr><tr><td>19d1b811df60f86cbd5e04a094b07f32fff7a32a</td><td>york_3d</td><td>UOY 3D Face Database</td><td><a href="papers/19d1b811df60f86cbd5e04a094b07f32fff7a32a.html" target="_blank">Three-dimensional face recognition: an eigensurface approach</a></td><td><span class="gray">[pdf]</a></td><td>2004 International Conference on Image Processing, 2004. ICIP '04.</td><td></td><td></td><td></td><td></td><td></td><td>34%</td><td>38</td><td>13</td><td>25</td><td>4</td><td>24</td><td>13</td></tr><tr><td>2edb87494278ad11641b6cf7a3f8996de12b8e14</td><td>qmul_grid</td><td>GRID</td><td><a href="papers/2edb87494278ad11641b6cf7a3f8996de12b8e14.html" target="_blank">Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding</a></td><td><a href="http://www.eecs.qmul.ac.uk/~ccloy/files/ijcv_2010.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td>edu</td><td>Queen Mary University of London</td><td>United Kingdom</td><td>51.52472720</td><td>-0.03931035</td><td>51%</td><td>84</td><td>43</td><td>41</td><td>6</td><td>51</td><td>33</td></tr><tr><td>64e0690dd176a93de9d4328f6e31fc4afe1e7536</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/64e0690dd176a93de9d4328f6e31fc4afe1e7536.html" target="_blank">Tracking Multiple People Online and in Real Time</a></td><td><a href="https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>39%</td><td>23</td><td>9</td><td>14</td><td>2</td><td>12</td><td>10</td></tr><tr><td>298cbc3dfbbb3a20af4eed97906650a4ea1c29e0</td><td>ferplus</td><td>FER+</td><td><a href="papers/298cbc3dfbbb3a20af4eed97906650a4ea1c29e0.html" target="_blank">Training deep networks for facial expression recognition with crowd-sourced label distribution</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>71%</td><td>34</td><td>24</td><td>10</td><td>0</td><td>18</td><td>16</td></tr><tr><td>4eab317b5ac436a949849ed286baa3de2a541eef</td><td>laofiw</td><td>LAOFIW</td><td><a href="papers/4eab317b5ac436a949849ed286baa3de2a541eef.html" target="_blank">Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings</a></td><td><a href="https://arxiv.org/pdf/1809.02169.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>2</td><td>0</td></tr><tr><td>b5f2846a506fc417e7da43f6a7679146d99c5e96</td><td>ucf_101</td><td>UCF101</td><td><a href="papers/b5f2846a506fc417e7da43f6a7679146d99c5e96.html" target="_blank">UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild</a></td><td><a href="https://arxiv.org/pdf/1212.0402.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>999</td><td>607</td><td>392</td><td>56</td><td>628</td><td>362</td></tr><tr><td>16e8b0a1e8451d5f697b94c0c2b32a00abee1d52</td><td>umb</td><td>UMB</td><td><a href="papers/16e8b0a1e8451d5f697b94c0c2b32a00abee1d52.html" target="_blank">UMB-DB: A database of partially occluded 3D faces</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td></td><td></td><td></td><td></td><td></td><td>62%</td><td>47</td><td>29</td><td>18</td><td>2</td><td>22</td><td>24</td></tr><tr><td>31b05f65405534a696a847dd19c621b7b8588263</td><td>umd_faces</td><td>UMD</td><td><a href="papers/31b05f65405534a696a847dd19c621b7b8588263.html" target="_blank">UMDFaces: An annotated face dataset for training deep networks</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Joint Conference on Biometrics (IJCB)</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>42</td><td>21</td><td>21</td><td>5</td><td>30</td><td>11</td></tr><tr><td>8627f019882b024aef92e4eb9355c499c733e5b7</td><td>used</td><td>USED Social Event Dataset</td><td><a href="papers/8627f019882b024aef92e4eb9355c499c733e5b7.html" target="_blank">USED: a large-scale social event detection dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>University of Trento</td><td>Italy</td><td>46.06588360</td><td>11.11598940</td><td>71%</td><td>7</td><td>5</td><td>2</td><td>0</td><td>3</td><td>4</td></tr><tr><td>d4f1eb008eb80595bcfdac368e23ae9754e1e745</td><td>uccs</td><td>UCCS</td><td><a href="papers/d4f1eb008eb80595bcfdac368e23ae9754e1e745.html" target="_blank">Unconstrained Face Detection and Open-Set Face Recognition Challenge</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Joint Conference on Biometrics (IJCB)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>5</td><td>5</td><td>0</td><td>0</td><td>4</td><td>1</td></tr><tr><td>4b4106614c1d553365bad75d7866bff0de6056ed</td><td>ufi</td><td>UFI</td><td><a href="papers/4b4106614c1d553365bad75d7866bff0de6056ed.html" target="_blank">Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions</a></td><td><a href="http://home.zcu.cz/~pkral/papers/kral_micai15.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>33%</td><td>12</td><td>4</td><td>8</td><td>0</td><td>4</td><td>6</td></tr><tr><td>08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7</td><td>kin_face</td><td>UB KinFace</td><td><a href="papers/08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7.html" target="_blank">Understanding Kin Relationships in a Photo</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Multimedia</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>94</td><td>55</td><td>39</td><td>1</td><td>33</td><td>61</td></tr><tr><td>5a4df9bef1872865f0b619ac3aacc97f49e4a035</td><td>cuhk_train_station</td><td>CUHK Train Station Dataset</td><td><a href="papers/5a4df9bef1872865f0b619ac3aacc97f49e4a035.html" target="_blank">Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Chinese University of Hong Kong</td><td>China</td><td>22.41626320</td><td>114.21093180</td><td>51%</td><td>141</td><td>72</td><td>69</td><td>6</td><td>60</td><td>75</td></tr><tr><td>21d9d0deed16f0ad62a4865e9acf0686f4f15492</td><td>images_of_groups</td><td>Images of Groups</td><td><a href="papers/21d9d0deed16f0ad62a4865e9acf0686f4f15492.html" target="_blank">Understanding images of groups of people</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Carnegie Mellon University Silicon Valley</td><td>United States</td><td>37.41021930</td><td>-122.05965487</td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>15e1af79939dbf90790b03d8aa02477783fb1d0f</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/15e1af79939dbf90790b03d8aa02477783fb1d0f.html" target="_blank">Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro</a></td><td><a href="https://arxiv.org/pdf/1701.07717.pdf" target="_blank">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>fd8168f1c50de85bac58a8d328df0a50248b16ae</td><td>nd_2006</td><td>ND-2006</td><td><a href="papers/fd8168f1c50de85bac58a8d328df0a50248b16ae.html" target="_blank">Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems</td><td>edu</td><td>University of Notre Dame</td><td>United States</td><td>41.70456775</td><td>-86.23822026</td><td>60%</td><td>35</td><td>21</td><td>14</td><td>3</td><td>18</td><td>15</td></tr><tr><td>4563b46d42079242f06567b3f2e2f7a80cb3befe</td><td>vadana</td><td>VADANA</td><td><a href="papers/4563b46d42079242f06567b3f2e2f7a80cb3befe.html" target="_blank">VADANA: A dense dataset for facial image analysis</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td>edu</td><td>University of Delaware</td><td>United States</td><td>39.68103280</td><td>-75.75401840</td><td>47%</td><td>15</td><td>7</td><td>8</td><td>0</td><td>5</td><td>10</td></tr><tr><td>70c59dc3470ae867016f6ab0e008ac8ba03774a1</td><td>vgg_faces2</td><td>VGG Face2</td><td><a href="papers/70c59dc3470ae867016f6ab0e008ac8ba03774a1.html" target="_blank">VGGFace2: A Dataset for Recognising Faces across Pose and Age</a></td><td><a href="https://arxiv.org/pdf/1710.08092.pdf" target="_blank">[pdf]</a></td><td>2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>83</td><td>41</td><td>42</td><td>6</td><td>61</td><td>20</td></tr><tr><td>01959ef569f74c286956024866c1d107099199f7</td><td>vqa</td><td>VQA</td><td><a href="papers/01959ef569f74c286956024866c1d107099199f7.html" target="_blank">VQA: Visual Question Answering</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>b6c293f0420f7e945b5916ae44269fb53e139275</td><td>erce</td><td>ERCe</td><td><a href="papers/b6c293f0420f7e945b5916ae44269fb53e139275.html" target="_blank">Video Synopsis by Heterogeneous Multi-source Correlation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>29</td><td>16</td><td>13</td><td>2</td><td>14</td><td>13</td></tr><tr><td>b6c293f0420f7e945b5916ae44269fb53e139275</td><td>tisi</td><td>Times Square Intersection</td><td><a href="papers/b6c293f0420f7e945b5916ae44269fb53e139275.html" target="_blank">Video Synopsis by Heterogeneous Multi-source Correlation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>29</td><td>16</td><td>13</td><td>2</td><td>14</td><td>13</td></tr><tr><td>5194cbd51f9769ab25260446b4fa17204752e799</td><td>violent_flows</td><td>Violent Flows</td><td><a href="papers/5194cbd51f9769ab25260446b4fa17204752e799.html" target="_blank">Violent flows: Real-time detection of violent crowd behavior</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops</td><td>edu</td><td>Open University of Israel</td><td>Israel</td><td>32.77824165</td><td>34.99565673</td><td>55%</td><td>88</td><td>48</td><td>40</td><td>6</td><td>45</td><td>44</td></tr><tr><td>026e3363b7f76b51cc711886597a44d5f1fd1de2</td><td>kitti</td><td>KITTI</td><td><a href="papers/026e3363b7f76b51cc711886597a44d5f1fd1de2.html" target="_blank">Vision meets robotics: The KITTI dataset</a></td><td><a href="https://pdfs.semanticscholar.org/026e/3363b7f76b51cc711886597a44d5f1fd1de2.pdf" target="_blank">[pdf]</a></td><td>I. J. Robotics Res.</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>547</td><td>452</td><td>37</td><td>553</td><td>462</td></tr><tr><td>066000d44d6691d27202896691f08b27117918b9</td><td>psu</td><td>PSU</td><td><a href="papers/066000d44d6691d27202896691f08b27117918b9.html" target="_blank">Vision-Based Analysis of Small Groups in Pedestrian Crowds</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>168</td><td>83</td><td>85</td><td>11</td><td>85</td><td>79</td></tr><tr><td>dd65f71dac86e36eecbd3ed225d016c3336b4a13</td><td>families_in_the_wild</td><td>FIW</td><td><a href="papers/dd65f71dac86e36eecbd3ed225d016c3336b4a13.html" target="_blank">Visual Kinship Recognition of Families in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td>edu</td><td>University of Massachusetts Dartmouth</td><td>United States</td><td>41.62772475</td><td>-71.00724501</td><td>80%</td><td>5</td><td>4</td><td>1</td><td>0</td><td>2</td><td>3</td></tr><tr><td>52d7eb0fbc3522434c13cc247549f74bb9609c5d</td><td>wider_face</td><td>WIDER FACE</td><td><a href="papers/52d7eb0fbc3522434c13cc247549f74bb9609c5d.html" target="_blank">WIDER FACE: A Face Detection Benchmark</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td>edu</td><td>Chinese University of Hong Kong</td><td>China</td><td>22.41626320</td><td>114.21093180</td><td>58%</td><td>178</td><td>104</td><td>74</td><td>13</td><td>112</td><td>66</td></tr><tr><td>36bccfb2ad847096bc76777e544f305813cd8f5b</td><td>wildtrack</td><td>WildTrack</td><td><a href="papers/36bccfb2ad847096bc76777e544f305813cd8f5b.html" target="_blank">WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection</a></td><td><a href="http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1562-supp.pdf" target="_blank">[pdf]</a></td><td>2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>5ad4e9f947c1653c247d418f05dad758a3f9277b</td><td>wlfdb</td><td>WLFDB</td><td><a href="papers/5ad4e9f947c1653c247d418f05dad758a3f9277b.html" target="_blank">WLFDB : Weakly Labeled Face Databases</a></td><td><a href="https://pdfs.semanticscholar.org/5ad4/e9f947c1653c247d418f05dad758a3f9277b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td></tr><tr><td>0dc11a37cadda92886c56a6fb5191ded62099c28</td><td>stickmen_family</td><td>We Are Family Stickmen</td><td><a href="papers/0dc11a37cadda92886c56a6fb5191ded62099c28.html" target="_blank">We Are Family: Joint Pose Estimation of Multiple Persons</a></td><td><a href="http://eprints.pascal-network.org/archive/00007964/01/eichner10eccv.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>78</td><td>45</td><td>33</td><td>6</td><td>54</td><td>23</td></tr><tr><td>0c91808994a250d7be332400a534a9291ca3b60e</td><td>graz</td><td>Graz Pedestrian</td><td><a href="papers/0c91808994a250d7be332400a534a9291ca3b60e.html" target="_blank">Weak Hypotheses and Boosting for Generic Object Detection and Recognition</a></td><td><a href="https://pdfs.semanticscholar.org/0c91/808994a250d7be332400a534a9291ca3b60e.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>236</td><td>127</td><td>109</td><td>17</td><td>161</td><td>77</td></tr><tr><td>2a75f34663a60ab1b04a0049ed1d14335129e908</td><td>mmi_facial_expression</td><td>MMI Facial Expression Dataset</td><td><a href="papers/2a75f34663a60ab1b04a0049ed1d14335129e908.html" target="_blank">Web-based database for facial expression analysis</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE International Conference on Multimedia and Expo</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>464</td><td>217</td><td>247</td><td>45</td><td>282</td><td>188</td></tr><tr><td>9b9bf5e623cb8af7407d2d2d857bc3f1b531c182</td><td>who_goes_there</td><td>WGT</td><td><a href="papers/9b9bf5e623cb8af7407d2d2d857bc3f1b531c182.html" target="_blank">Who goes there?: approaches to mapping facial appearance diversity</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>University of Kentucky</td><td>United States</td><td>38.03337420</td><td>-84.50177580</td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>b62628ac06bbac998a3ab825324a41a11bc3a988</td><td>m2vtsdb_extended</td><td>xm2vtsdb</td><td><a href="papers/b62628ac06bbac998a3ab825324a41a11bc3a988.html" target="_blank">XM2VTSDB : The extended M2VTS database</a></td><td><a href="https://pdfs.semanticscholar.org/b626/28ac06bbac998a3ab825324a41a11bc3a988.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>864</td><td>463</td><td>401</td><td>40</td><td>493</td><td>404</td></tr><tr><td>010f0f4929e6a6644fb01f0e43820f91d0fad292</td><td>yfcc_100m</td><td>YFCC100M</td><td><a href="papers/010f0f4929e6a6644fb01f0e43820f91d0fad292.html" target="_blank">YFCC100M: the new data in multimedia research</a></td><td><span class="gray">[pdf]</a></td><td>Commun. ACM</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>274</td><td>154</td><td>120</td><td>24</td><td>172</td><td>100</td></tr><tr><td>a94cae786d515d3450d48267e12ca954aab791c4</td><td>yawdd</td><td>YawDD</td><td><a href="papers/a94cae786d515d3450d48267e12ca954aab791c4.html" target="_blank">YawDD: a yawning detection dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>15</td><td>8</td><td>7</td><td>1</td><td>2</td><td>13</td></tr></table></body></html>
\ No newline at end of file +<!doctype html><html><head><meta charset='utf-8'><title>All Papers</title><link rel='stylesheet' href='reports.css'></head><body><h2>All Papers</h2><table border='1' cellpadding='3' cellspacing='3'><th>Paper ID</th><th>Megapixels Key</th><th>Megapixels Name</th><th>Report Link</th><th>PDF Link</th><th>Journal</th><th>Type</th><th>Address</th><th>Country</th><th>Lat</th><th>Lng</th><th>Coverage</th><th>Total Citations</th><th>Geocoded Citations</th><th>Unknown Citations</th><th>Empty Citations</th><th>With PDF</th><th>With DOI</th><tr><td>3325860c0c82a93b2eac654f5324dd6a776f609e</td><td>mpii_human_pose</td><td>MPII Human Pose</td><td><a href="papers/3325860c0c82a93b2eac654f5324dd6a776f609e.html" target="_blank">2D Human Pose Estimation: New Benchmark and State of the Art Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>387</td><td>224</td><td>163</td><td>21</td><td>291</td><td>96</td></tr><tr><td>e4754afaa15b1b53e70743880484b8d0736990ff</td><td>fiw_300</td><td>300-W</td><td><a href="papers/e4754afaa15b1b53e70743880484b8d0736990ff.html" target="_blank">300 Faces In-The-Wild Challenge: database and results</a></td><td><a href="http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>129</td><td>66</td><td>63</td><td>9</td><td>74</td><td>55</td></tr><tr><td>044d9a8c61383312cdafbcc44b9d00d650b21c70</td><td>fiw_300</td><td>300-W</td><td><a href="papers/044d9a8c61383312cdafbcc44b9d00d650b21c70.html" target="_blank">300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision Workshops</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>323</td><td>198</td><td>125</td><td>27</td><td>208</td><td>120</td></tr><tr><td>2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e</td><td>3dpes</td><td>3DPeS</td><td><a href="papers/2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e.html" target="_blank">3DPeS: 3D people dataset for surveillance and forensics</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>133</td><td>65</td><td>68</td><td>11</td><td>73</td><td>58</td></tr><tr><td>a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43</td><td>4dfab</td><td>4DFAB</td><td><a href="papers/a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43.html" target="_blank">4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications</a></td><td><a href="https://arxiv.org/pdf/1712.01443.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>0%</td><td>4</td><td>0</td><td>4</td><td>0</td><td>2</td><td>2</td></tr><tr><td>31b58ced31f22eab10bd3ee2d9174e7c14c27c01</td><td>tiny_images</td><td>Tiny Images</td><td><a href="papers/31b58ced31f22eab10bd3ee2d9174e7c14c27c01.html" target="_blank">80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>999</td><td>529</td><td>470</td><td>89</td><td>644</td><td>337</td></tr><tr><td>d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae</td><td>b3d_ac</td><td>B3D(AC)</td><td><a href="papers/d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae.html" target="_blank">A 3-D Audio-Visual Corpus of Affective Communication</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Multimedia</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>42</td><td>19</td><td>23</td><td>2</td><td>26</td><td>15</td></tr><tr><td>4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461</td><td>3dddb_unconstrained</td><td>3D Dynamic</td><td><a href="papers/4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461.html" target="_blank">A 3D Dynamic Database for Unconstrained Face Recognition</a></td><td><a href="https://pdfs.semanticscholar.org/4d4b/b462c9f1d4e4ab1e4aa6a75cc0bc71b38461.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td></tr><tr><td>639937b3a1b8bded3f7e9a40e85bd3770016cf3c</td><td>bfm</td><td>BFM</td><td><a href="papers/639937b3a1b8bded3f7e9a40e85bd3770016cf3c.html" target="_blank">A 3D Face Model for Pose and Illumination Invariant Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>343</td><td>183</td><td>160</td><td>25</td><td>223</td><td>114</td></tr><tr><td>cc589c499dcf323fe4a143bbef0074c3e31f9b60</td><td>bu_3dfe</td><td>BU-3DFE</td><td><a href="papers/cc589c499dcf323fe4a143bbef0074c3e31f9b60.html" target="_blank">A 3D facial expression database for facial behavior research</a></td><td><span class="gray">[pdf]</a></td><td>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>588</td><td>275</td><td>312</td><td>45</td><td>306</td><td>282</td></tr><tr><td>22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b</td><td>saivt</td><td>SAIVT SoftBio</td><td><a href="papers/22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b.html" target="_blank">A Database for Person Re-Identification in Multi-Camera Surveillance Networks</a></td><td><span class="gray">[pdf]</a></td><td>2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)</td><td></td><td></td><td></td><td></td><td></td><td>42%</td><td>65</td><td>27</td><td>38</td><td>7</td><td>45</td><td>20</td></tr><tr><td>070de852bc6eb275d7ca3a9cdde8f6be8795d1a3</td><td>d3dfacs</td><td>D3DFACS</td><td><a href="papers/070de852bc6eb275d7ca3a9cdde8f6be8795d1a3.html" target="_blank">A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling</a></td><td><span class="gray">[pdf]</a></td><td>2011 International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>50</td><td>25</td><td>25</td><td>5</td><td>31</td><td>18</td></tr><tr><td>563c940054e4b456661762c1ab858e6f730c3159</td><td>data_61</td><td>Data61 Pedestrian</td><td><a href="papers/563c940054e4b456661762c1ab858e6f730c3159.html" target="_blank">A Multi-modal Graphical Model for Scene Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Winter Conference on Applications of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>8</td><td>4</td><td>4</td><td>0</td><td>5</td><td>3</td></tr><tr><td>221c18238b829c12b911706947ab38fd017acef7</td><td>rap_pedestrian</td><td>RAP</td><td><a href="papers/221c18238b829c12b911706947ab38fd017acef7.html" target="_blank">A Richly Annotated Dataset for Pedestrian Attribute Recognition</a></td><td><a href="https://arxiv.org/pdf/1603.07054.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>26</td><td>12</td><td>14</td><td>0</td><td>16</td><td>10</td></tr><tr><td>013909077ad843eb6df7a3e8e290cfd5575999d2</td><td>fiw_300</td><td>300-W</td><td><a href="papers/013909077ad843eb6df7a3e8e290cfd5575999d2.html" target="_blank">A Semi-automatic Methodology for Facial Landmark Annotation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>184</td><td>107</td><td>77</td><td>14</td><td>120</td><td>67</td></tr><tr><td>3b4ec8af470948a72a6ed37a9fd226719a874ebc</td><td>sdu_vid</td><td>SDU-VID</td><td><a href="papers/3b4ec8af470948a72a6ed37a9fd226719a874ebc.html" target="_blank">A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>95</td><td>57</td><td>38</td><td>7</td><td>50</td><td>45</td></tr><tr><td>6403117f9c005ae81f1e8e6d1302f4a045e3d99d</td><td>alert_airport</td><td>ALERT Airport</td><td><a href="papers/6403117f9c005ae81f1e8e6d1302f4a045e3d99d.html" target="_blank">A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>35%</td><td>20</td><td>7</td><td>13</td><td>0</td><td>9</td><td>11</td></tr><tr><td>0d3bb75852098b25d90f31d2f48fd0cb4944702b</td><td>face_scrub</td><td>FaceScrub</td><td><a href="papers/0d3bb75852098b25d90f31d2f48fd0cb4944702b.html" target="_blank">A data-driven approach to cleaning large face datasets</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE International Conference on Image Processing (ICIP)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>138</td><td>67</td><td>71</td><td>5</td><td>95</td><td>41</td></tr><tr><td>b91f54e1581fbbf60392364323d00a0cd43e493c</td><td>bp4d_spontanous</td><td>BP4D-Spontanous</td><td><a href="papers/b91f54e1581fbbf60392364323d00a0cd43e493c.html" target="_blank">A high-resolution spontaneous 3D dynamic facial expression database</a></td><td><span class="gray">[pdf]</a></td><td>2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</td><td>edu</td><td>SUNY Binghamton</td><td>United States</td><td>42.08779975</td><td>-75.97066066</td><td>46%</td><td>154</td><td>71</td><td>83</td><td>7</td><td>80</td><td>75</td></tr><tr><td>8b56e33f33e582f3e473dba573a16b598ed9bcdc</td><td>fei</td><td>FEI</td><td><a href="papers/8b56e33f33e582f3e473dba573a16b598ed9bcdc.html" target="_blank">A new ranking method for principal components analysis and its application to face image analysis</a></td><td><span class="gray">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>169</td><td>80</td><td>89</td><td>6</td><td>69</td><td>102</td></tr><tr><td>2624d84503bc2f8e190e061c5480b6aa4d89277a</td><td>afew_va</td><td>AFEW-VA</td><td><a href="papers/2624d84503bc2f8e190e061c5480b6aa4d89277a.html" target="_blank">AFEW-VA database for valence and arousal estimation in-the-wild</a></td><td><a href="https://ibug.doc.ic.ac.uk/media/uploads/documents/afew-va.pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>18</td><td>8</td><td>10</td><td>0</td><td>12</td><td>5</td></tr><tr><td>2ad0ee93d029e790ebb50574f403a09854b65b7e</td><td>yale_faces</td><td>YaleFaces</td><td><a href="papers/2ad0ee93d029e790ebb50574f403a09854b65b7e.html" target="_blank">Acquiring linear subspaces for face recognition under variable lighting</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>999</td><td>498</td><td>501</td><td>94</td><td>495</td><td>491</td></tr><tr><td>57fe081950f21ca03b5b375ae3e84b399c015861</td><td>cvc_01_barcelona</td><td>CVC-01</td><td><a href="papers/57fe081950f21ca03b5b375ae3e84b399c015861.html" target="_blank">Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>40%</td><td>47</td><td>19</td><td>28</td><td>1</td><td>23</td><td>24</td></tr><tr><td>758d7e1be64cc668c59ef33ba8882c8597406e53</td><td>affectnet</td><td>AffectNet</td><td><a href="papers/758d7e1be64cc668c59ef33ba8882c8597406e53.html" target="_blank">AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild</a></td><td><a href="https://arxiv.org/pdf/1708.03985.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>37</td><td>22</td><td>15</td><td>0</td><td>25</td><td>11</td></tr><tr><td>47aeb3b82f54b5ae8142b4bdda7b614433e69b9a</td><td>am_fed</td><td>AM-FED</td><td><a href="papers/47aeb3b82f54b5ae8142b4bdda7b614433e69b9a.html" target="_blank">Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>83</td><td>37</td><td>46</td><td>6</td><td>43</td><td>39</td></tr><tr><td>1be498d4bbc30c3bfd0029114c784bc2114d67c0</td><td>adience</td><td>Adience</td><td><a href="papers/1be498d4bbc30c3bfd0029114c784bc2114d67c0.html" target="_blank">Age and Gender Estimation of Unfiltered Faces</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Information Forensics and Security</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>179</td><td>93</td><td>86</td><td>7</td><td>98</td><td>80</td></tr><tr><td>d818568838433a6d6831adde49a58cef05e0c89f</td><td>agedb</td><td>AgeDB</td><td><a href="papers/d818568838433a6d6831adde49a58cef05e0c89f.html" target="_blank">AgeDB: The First Manually Collected, In-the-Wild Age Database</a></td><td><a href="http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf" target="_blank">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>78%</td><td>18</td><td>14</td><td>4</td><td>0</td><td>14</td><td>3</td></tr><tr><td>a74251efa970b92925b89eeef50a5e37d9281ad0</td><td>aflw</td><td>AFLW</td><td><a href="papers/a74251efa970b92925b89eeef50a5e37d9281ad0.html" target="_blank">Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>318</td><td>177</td><td>141</td><td>35</td><td>211</td><td>107</td></tr><tr><td>2ce2560cf59db59ce313bbeb004e8ce55c5ce928</td><td>texas_3dfrd</td><td>Texas 3DFRD</td><td><a href="papers/2ce2560cf59db59ce313bbeb004e8ce55c5ce928.html" target="_blank">Anthropometric 3D Face Recognition</a></td><td><a href="http://live.ece.utexas.edu/publications/2010/sg_ijcv_june10.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>91</td><td>47</td><td>44</td><td>5</td><td>60</td><td>31</td></tr><tr><td>633c851ebf625ad7abdda2324e9de093cf623141</td><td>appa_real</td><td>APPA-REAL</td><td><a href="papers/633c851ebf625ad7abdda2324e9de093cf623141.html" target="_blank">Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database</a></td><td><span class="gray">[pdf]</a></td><td>2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>10</td><td>5</td><td>5</td><td>0</td><td>8</td><td>3</td></tr><tr><td>0df0d1adea39a5bef318b74faa37de7f3e00b452</td><td>mpii_gaze</td><td>MPIIGaze</td><td><a href="papers/0df0d1adea39a5bef318b74faa37de7f3e00b452.html" target="_blank">Appearance-based gaze estimation in the wild</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>64%</td><td>149</td><td>95</td><td>54</td><td>3</td><td>94</td><td>54</td></tr><tr><td>759a3b3821d9f0e08e0b0a62c8b693230afc3f8d</td><td>pubfig</td><td>PubFig</td><td><a href="papers/759a3b3821d9f0e08e0b0a62c8b693230afc3f8d.html" target="_blank">Attribute and simile classifiers for face verification</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE 12th International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>914</td><td>535</td><td>379</td><td>49</td><td>586</td><td>316</td></tr><tr><td>faf40ce28857aedf183e193486f5b4b0a8c478a2</td><td>iit_dehli_ear</td><td>IIT Dehli Ear</td><td><a href="papers/faf40ce28857aedf183e193486f5b4b0a8c478a2.html" target="_blank">Automated Human Identification Using Ear Imaging</a></td><td><a href="https://pdfs.semanticscholar.org/faf4/0ce28857aedf183e193486f5b4b0a8c478a2.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>38%</td><td>80</td><td>30</td><td>50</td><td>6</td><td>35</td><td>44</td></tr><tr><td>2160788824c4c29ffe213b2cbeb3f52972d73f37</td><td>3d_rma</td><td>3D-RMA</td><td><a href="papers/2160788824c4c29ffe213b2cbeb3f52972d73f37.html" target="_blank">Automatic 3D face authentication</a></td><td><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.31.9190&rep=rep1&type=pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>100</td><td>47</td><td>53</td><td>8</td><td>63</td><td>36</td></tr><tr><td>213a579af9e4f57f071b884aa872651372b661fd</td><td>bbc_pose</td><td>BBC Pose</td><td><a href="papers/213a579af9e4f57f071b884aa872651372b661fd.html" target="_blank">Automatic and Efficient Human Pose Estimation for Sign Language Videos</a></td><td><a href="http://tomas.pfister.fi/files/charles13ijcv.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>65%</td><td>26</td><td>17</td><td>9</td><td>1</td><td>16</td><td>11</td></tr><tr><td>fcc6fe6007c322641796cb8792718641856a22a7</td><td>miw</td><td>MIW</td><td><a href="papers/fcc6fe6007c322641796cb8792718641856a22a7.html" target="_blank">Automatic facial makeup detection with application in face recognition</a></td><td><span class="gray">[pdf]</a></td><td>2013 International Conference on Biometrics (ICB)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>69%</td><td>49</td><td>34</td><td>15</td><td>1</td><td>19</td><td>29</td></tr><tr><td>fcc6fe6007c322641796cb8792718641856a22a7</td><td>youtube_makeup</td><td>YMU</td><td><a href="papers/fcc6fe6007c322641796cb8792718641856a22a7.html" target="_blank">Automatic facial makeup detection with application in face recognition</a></td><td><span class="gray">[pdf]</a></td><td>2013 International Conference on Biometrics (ICB)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>69%</td><td>49</td><td>34</td><td>15</td><td>1</td><td>19</td><td>29</td></tr><tr><td>0a85bdff552615643dd74646ac881862a7c7072d</td><td>pipa</td><td>PIPA</td><td><a href="papers/0a85bdff552615643dd74646ac881862a7c7072d.html" target="_blank">Beyond frontal faces: Improving Person Recognition using multiple cues</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td>company</td><td>Facebook</td><td>United States</td><td>37.39367170</td><td>-122.08072620</td><td>69%</td><td>54</td><td>37</td><td>16</td><td>1</td><td>41</td><td>12</td></tr><tr><td>2acf7e58f0a526b957be2099c10aab693f795973</td><td>bosphorus</td><td>The Bosphorus</td><td><a href="papers/2acf7e58f0a526b957be2099c10aab693f795973.html" target="_blank">Bosphorus Database for 3D Face Analysis</a></td><td><a href="https://pdfs.semanticscholar.org/4254/fbba3846008f50671edc9cf70b99d7304543.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>352</td><td>171</td><td>181</td><td>17</td><td>162</td><td>188</td></tr><tr><td>37d6f0eb074d207b53885bd2eb78ccc8a04be597</td><td>vmu</td><td>VMU</td><td><a href="papers/37d6f0eb074d207b53885bd2eb78ccc8a04be597.html" target="_blank">Can facial cosmetics affect the matching accuracy of face recognition systems?</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>60%</td><td>53</td><td>32</td><td>21</td><td>0</td><td>19</td><td>31</td></tr><tr><td>37d6f0eb074d207b53885bd2eb78ccc8a04be597</td><td>youtube_makeup</td><td>YMU</td><td><a href="papers/37d6f0eb074d207b53885bd2eb78ccc8a04be597.html" target="_blank">Can facial cosmetics affect the matching accuracy of face recognition systems?</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td>edu</td><td>West Virginia University</td><td>United States</td><td>39.65404635</td><td>-79.96475355</td><td>60%</td><td>53</td><td>32</td><td>21</td><td>0</td><td>19</td><td>31</td></tr><tr><td>8d5998cd984e7cce307da7d46f155f9db99c6590</td><td>chalearn</td><td>ChaLearn</td><td><a href="papers/8d5998cd984e7cce307da7d46f155f9db99c6590.html" target="_blank">ChaLearn looking at people: A review of events and resources</a></td><td><span class="gray">[pdf]</a></td><td>2017 International Joint Conference on Neural Networks (IJCNN)</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>13</td><td>6</td><td>7</td><td>1</td><td>8</td><td>4</td></tr><tr><td>2bf8541199728262f78d4dced6fb91479b39b738</td><td>clothing_co_parsing</td><td>CCP</td><td><a href="papers/2bf8541199728262f78d4dced6fb91479b39b738.html" target="_blank">Clothing Co-parsing by Joint Image Segmentation and Labeling</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>70%</td><td>60</td><td>42</td><td>18</td><td>0</td><td>34</td><td>28</td></tr><tr><td>22ad2c8c0f4d6aa4328b38d894b814ec22579761</td><td>gallagher</td><td>Gallagher</td><td><a href="papers/22ad2c8c0f4d6aa4328b38d894b814ec22579761.html" target="_blank">Clothing cosegmentation for recognizing people</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Carnegie Mellon University Silicon Valley</td><td>United States</td><td>37.41021930</td><td>-122.05965487</td><td>59%</td><td>178</td><td>105</td><td>73</td><td>7</td><td>100</td><td>86</td></tr><tr><td>4b1d23d17476fcf78f4cbadf69fb130b1aa627c0</td><td>leeds_sports_pose</td><td>Leeds Sports Pose</td><td><a href="papers/4b1d23d17476fcf78f4cbadf69fb130b1aa627c0.html" target="_blank">Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation</a></td><td><a href="http://www.bmva.org/bmvc/2010/conference/paper12/abstract12.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>285</td><td>174</td><td>111</td><td>13</td><td>197</td><td>93</td></tr><tr><td>4b1d23d17476fcf78f4cbadf69fb130b1aa627c0</td><td>stickmen_buffy</td><td>Buffy Stickmen</td><td><a href="papers/4b1d23d17476fcf78f4cbadf69fb130b1aa627c0.html" target="_blank">Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation</a></td><td><a href="http://www.bmva.org/bmvc/2010/conference/paper12/abstract12.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>285</td><td>174</td><td>111</td><td>13</td><td>197</td><td>93</td></tr><tr><td>45c31cde87258414f33412b3b12fc5bec7cb3ba9</td><td>jaffe</td><td>JAFFE</td><td><a href="papers/45c31cde87258414f33412b3b12fc5bec7cb3ba9.html" target="_blank">Coding Facial Expressions with Gabor Wavelets</a></td><td><a href="http://physics.lbl.gov/patrecog/images/Facerecog_gabor.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>899</td><td>443</td><td>456</td><td>51</td><td>431</td><td>451</td></tr><tr><td>b1f4423c227fa37b9680787be38857069247a307</td><td>afew_va</td><td>AFEW-VA</td><td><a href="papers/b1f4423c227fa37b9680787be38857069247a307.html" target="_blank">Collecting Large, Richly Annotated Facial-Expression Databases from Movies</a></td><td><span class="gray">[pdf]</a></td><td>IEEE MultiMedia</td><td>edu</td><td>Australian National University</td><td>Australia</td><td>-35.27769990</td><td>149.11852700</td><td>61%</td><td>181</td><td>111</td><td>70</td><td>8</td><td>87</td><td>97</td></tr><tr><td>7f4040b482d16354d5938c1d1b926b544652bf5b</td><td>nova_emotions</td><td>Novaemötions Dataset</td><td><a href="papers/7f4040b482d16354d5938c1d1b926b544652bf5b.html" target="_blank">Competitive affective gaming: winning with a smile</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Universidade NOVA de Lisboa, Caparica, Portugal</td><td>Portugal</td><td>38.66096400</td><td>-9.20581300</td><td>67%</td><td>9</td><td>6</td><td>3</td><td>0</td><td>5</td><td>4</td></tr><tr><td>079a0a3bf5200994e1f972b1b9197bf2f90e87d4</td><td>mit_cbcl</td><td>MIT CBCL</td><td><a href="papers/079a0a3bf5200994e1f972b1b9197bf2f90e87d4.html" target="_blank">Component-Based Face Recognition with 3D Morphable Models</a></td><td><span class="gray">[pdf]</a></td><td>2004 Conference on Computer Vision and Pattern Recognition Workshop</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>23fc83c8cfff14a16df7ca497661264fc54ed746</td><td>cohn_kanade</td><td>CK</td><td><a href="papers/23fc83c8cfff14a16df7ca497661264fc54ed746.html" target="_blank">Comprehensive Database for Facial Expression Analysis</a></td><td><a href="https://pdfs.semanticscholar.org/23fc/83c8cfff14a16df7ca497661264fc54ed746.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>999</td><td>492</td><td>507</td><td>69</td><td>539</td><td>439</td></tr><tr><td>09d78009687bec46e70efcf39d4612822e61cb8c</td><td>raid</td><td>RAiD</td><td><a href="papers/09d78009687bec46e70efcf39d4612822e61cb8c.html" target="_blank">Consistent Re-identification in a Camera Network</a></td><td><a href="https://pdfs.semanticscholar.org/c27f/099e6e7e3f7f9979cbe9e0a5175fc5848ea0.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>49</td><td>29</td><td>20</td><td>5</td><td>34</td><td>13</td></tr><tr><td>0ceda9dae8b9f322df65ca2ef02caca9758aec6f</td><td>casablanca</td><td>Casablanca</td><td><a href="papers/0ceda9dae8b9f322df65ca2ef02caca9758aec6f.html" target="_blank">Context-Aware CNNs for Person Head Detection</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>33</td><td>18</td><td>15</td><td>1</td><td>23</td><td>11</td></tr><tr><td>0ceda9dae8b9f322df65ca2ef02caca9758aec6f</td><td>hollywood_headset</td><td>HollywoodHeads</td><td><a href="papers/0ceda9dae8b9f322df65ca2ef02caca9758aec6f.html" target="_blank">Context-Aware CNNs for Person Head Detection</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>33</td><td>18</td><td>15</td><td>1</td><td>23</td><td>11</td></tr><tr><td>c06b13d0ec3f5c43e2782cd22542588e233733c3</td><td>nova_emotions</td><td>Novaemötions Dataset</td><td><a href="papers/c06b13d0ec3f5c43e2782cd22542588e233733c3.html" target="_blank">Crowdsourcing facial expressions for affective-interaction</a></td><td><span class="gray">[pdf]</a></td><td>Computer Vision and Image Understanding</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><td>8355d095d3534ef511a9af68a3b2893339e3f96b</td><td>imdb_wiki</td><td>IMDB</td><td><a href="papers/8355d095d3534ef511a9af68a3b2893339e3f96b.html" target="_blank">DEX: Deep EXpectation of Apparent Age from a Single Image</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision Workshop (ICCVW)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>122</td><td>68</td><td>54</td><td>6</td><td>75</td><td>48</td></tr><tr><td>5a5f0287484f0d480fed1ce585dbf729586f0edc</td><td>disfa</td><td>DISFA</td><td><a href="papers/5a5f0287484f0d480fed1ce585dbf729586f0edc.html" target="_blank">DISFA: A Spontaneous Facial Action Intensity Database</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Affective Computing</td><td>edu</td><td>University of Denver</td><td>United States</td><td>39.67665410</td><td>-104.96220300</td><td>49%</td><td>184</td><td>90</td><td>94</td><td>19</td><td>96</td><td>89</td></tr><tr><td>10195a163ab6348eef37213a46f60a3d87f289c5</td><td>imdb_wiki</td><td>IMDB</td><td><a href="papers/10195a163ab6348eef37213a46f60a3d87f289c5.html" target="_blank">Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks</a></td><td><a href="http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td>edu</td><td>ETH Zurich</td><td>Switzerland</td><td>47.37631300</td><td>8.54766990</td><td>52%</td><td>145</td><td>76</td><td>69</td><td>11</td><td>93</td><td>51</td></tr><tr><td>162ea969d1929ed180cc6de9f0bf116993ff6e06</td><td>vgg_faces</td><td>VGG Face</td><td><a href="papers/162ea969d1929ed180cc6de9f0bf116993ff6e06.html" target="_blank">Deep Face Recognition</a></td><td><a href="https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>546</td><td>453</td><td>58</td><td>558</td><td>429</td></tr><tr><td>6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4</td><td>celeba</td><td>CelebA</td><td><a href="papers/6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4.html" target="_blank">Deep Learning Face Attributes in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td>edu</td><td>Chinese University of Hong Kong</td><td>China</td><td>22.41626320</td><td>114.21093180</td><td>50%</td><td>919</td><td>456</td><td>462</td><td>64</td><td>694</td><td>201</td></tr><tr><td>18010284894ed0edcca74e5bf768ee2e15ef7841</td><td>deep_fashion</td><td>DeepFashion</td><td><a href="papers/18010284894ed0edcca74e5bf768ee2e15ef7841.html" target="_blank">DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>176</td><td>105</td><td>71</td><td>2</td><td>113</td><td>62</td></tr><tr><td>6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3</td><td>cuhk_campus_03</td><td>CUHK03 Campus</td><td><a href="papers/6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3.html" target="_blank">DeepReID: Deep Filter Pairing Neural Network for Person Re-identification</a></td><td><span class="gray">[pdf]</a></td><td>2014 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>568</td><td>323</td><td>245</td><td>26</td><td>320</td><td>235</td></tr><tr><td>13f06b08f371ba8b5d31c3e288b4deb61335b462</td><td>eth_andreas_ess</td><td>ETHZ Pedestrian</td><td><a href="papers/13f06b08f371ba8b5d31c3e288b4deb61335b462.html" target="_blank">Depth and Appearance for Mobile Scene Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2007 IEEE 11th International Conference on Computer Vision</td><td>edu</td><td>ETH Zurich</td><td>Switzerland</td><td>47.37631300</td><td>8.54766990</td><td>55%</td><td>324</td><td>179</td><td>145</td><td>26</td><td>193</td><td>127</td></tr><tr><td>4946ba10a4d5a7d0a38372f23e6622bd347ae273</td><td>coco_action</td><td>COCO-a</td><td><a href="papers/4946ba10a4d5a7d0a38372f23e6622bd347ae273.html" target="_blank">Describing Common Human Visual Actions in Images</a></td><td><a href="https://arxiv.org/pdf/1506.02203.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>64%</td><td>25</td><td>16</td><td>9</td><td>0</td><td>23</td><td>2</td></tr><tr><td>7808937b46acad36e43c30ae4e9f3fd57462853d</td><td>bpad</td><td>BPAD</td><td><a href="papers/7808937b46acad36e43c30ae4e9f3fd57462853d.html" target="_blank">Describing people: A poselet-based approach to attribute classification</a></td><td><span class="gray">[pdf]</a></td><td>2011 International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>230</td><td>128</td><td>102</td><td>14</td><td>163</td><td>66</td></tr><tr><td>d3200d49a19a4a4e4e9745ee39649b65d80c834b</td><td>scut_head</td><td>SCUT HEAD</td><td><a href="papers/d3200d49a19a4a4e4e9745ee39649b65d80c834b.html" target="_blank">Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture</a></td><td><a href="https://arxiv.org/pdf/1803.09256.pdf" target="_blank">[pdf]</a></td><td>2018 24th International Conference on Pattern Recognition (ICPR)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>9cc8cf0c7d7fa7607659921b6ff657e17e135ecc</td><td>mafa</td><td>MAsked FAces</td><td><a href="papers/9cc8cf0c7d7fa7607659921b6ff657e17e135ecc.html" target="_blank">Detecting Masked Faces in the Wild with LLE-CNNs</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>5</td><td>3</td><td>2</td><td>1</td><td>4</td><td>1</td></tr><tr><td>56ae6d94fc6097ec4ca861f0daa87941d1c10b70</td><td>cmdp</td><td>CMDP</td><td><a href="papers/56ae6d94fc6097ec4ca861f0daa87941d1c10b70.html" target="_blank">Distance Estimation of an Unknown Person from a Portrait</a></td><td><a href="http://authors.library.caltech.edu/49084/13/FaceDistanceEstimation_RONCHI.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>9</td><td>4</td><td>5</td><td>0</td><td>6</td><td>3</td></tr><tr><td>84fe5b4ac805af63206012d29523a1e033bc827e</td><td>awe_ears</td><td>AWE Ears</td><td><a href="papers/84fe5b4ac805af63206012d29523a1e033bc827e.html" target="_blank">Ear Recognition: More Than a Survey</a></td><td><a href="https://arxiv.org/pdf/1611.06203.pdf" target="_blank">[pdf]</a></td><td>Neurocomputing</td><td></td><td></td><td></td><td></td><td></td><td>65%</td><td>26</td><td>17</td><td>9</td><td>0</td><td>10</td><td>16</td></tr><tr><td>133f01aec1534604d184d56de866a4bd531dac87</td><td>lfw</td><td>LFW</td><td><a href="papers/133f01aec1534604d184d56de866a4bd531dac87.html" target="_blank">Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>183</td><td>101</td><td>82</td><td>14</td><td>103</td><td>77</td></tr><tr><td>c900e0ad4c95948baaf0acd8449fde26f9b4952a</td><td>emotio_net</td><td>EmotioNet Database</td><td><a href="papers/c900e0ad4c95948baaf0acd8449fde26f9b4952a.html" target="_blank">EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>86</td><td>40</td><td>46</td><td>7</td><td>54</td><td>29</td></tr><tr><td>2161f6b7ee3c0acc81603b01dc0df689683577b9</td><td>large_scale_person_search</td><td>Large Scale Person Search</td><td><a href="papers/2161f6b7ee3c0acc81603b01dc0df689683577b9.html" target="_blank">End-to-End Deep Learning for Person Search</a></td><td><a href="https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>46</td><td>24</td><td>22</td><td>1</td><td>27</td><td>16</td></tr><tr><td>1bd1645a629f1b612960ab9bba276afd4cf7c666</td><td>brainwash</td><td>Brainwash</td><td><a href="papers/1bd1645a629f1b612960ab9bba276afd4cf7c666.html" target="_blank">End-to-End People Detection in Crowded Scenes</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>42</td><td>21</td><td>21</td><td>1</td><td>19</td><td>19</td></tr><tr><td>6273b3491e94ea4dd1ce42b791d77bdc96ee73a8</td><td>viper</td><td>VIPeR</td><td><a href="papers/6273b3491e94ea4dd1ce42b791d77bdc96ee73a8.html" target="_blank">Evaluating Appearance Models for Recognition, Reacquisition, and Tracking</a></td><td><a href="https://pdfs.semanticscholar.org/7847/b1fbccadb780b655e72c66d3f9e93ddb880c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>624</td><td>352</td><td>272</td><td>35</td><td>342</td><td>276</td></tr><tr><td>2258e01865367018ed6f4262c880df85b94959f8</td><td>mot</td><td>MOT</td><td><a href="papers/2258e01865367018ed6f4262c880df85b94959f8.html" target="_blank">Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics</a></td><td><a href="https://cvhci.anthropomatik.kit.edu/images/stories/msmmi/papers/eurasip2008.pdf" target="_blank">[pdf]</a></td><td>EURASIP J. Image and Video Processing</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>632</td><td>314</td><td>316</td><td>50</td><td>358</td><td>264</td></tr><tr><td>9e5378e7b336c89735d3bb15cf67eff96f86d39a</td><td>precarious</td><td>Precarious</td><td><a href="papers/9e5378e7b336c89735d3bb15cf67eff96f86d39a.html" target="_blank">Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>21%</td><td>14</td><td>3</td><td>11</td><td>1</td><td>12</td><td>1</td></tr><tr><td>35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62</td><td>coco_qa</td><td>COCO QA</td><td><a href="papers/35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62.html" target="_blank">Exploring Models and Data for Image Question Answering</a></td><td><a href="https://arxiv.org/pdf/1505.02074.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>206</td><td>115</td><td>91</td><td>11</td><td>162</td><td>39</td></tr><tr><td>2cd7821fcf5fae53a185624f7eeda007434ae037</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/2cd7821fcf5fae53a185624f7eeda007434ae037.html" target="_blank">Exploring the geo-dependence of human face appearance</a></td><td><a href="http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf" target="_blank">[pdf]</a></td><td>IEEE Winter Conference on Applications of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>88%</td><td>8</td><td>7</td><td>1</td><td>0</td><td>5</td><td>3</td></tr><tr><td>2cd7821fcf5fae53a185624f7eeda007434ae037</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/2cd7821fcf5fae53a185624f7eeda007434ae037.html" target="_blank">Exploring the geo-dependence of human face appearance</a></td><td><a href="http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf" target="_blank">[pdf]</a></td><td>IEEE Winter Conference on Applications of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>88%</td><td>8</td><td>7</td><td>1</td><td>0</td><td>5</td><td>3</td></tr><tr><td>75da1df4ed319926c544eefe17ec8d720feef8c0</td><td>fddb</td><td>FDDB</td><td><a href="papers/75da1df4ed319926c544eefe17ec8d720feef8c0.html" target="_blank">FDDB: A benchmark for face detection in unconstrained settings</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>380</td><td>214</td><td>166</td><td>22</td><td>202</td><td>164</td></tr><tr><td>31de9b3dd6106ce6eec9a35991b2b9083395fd0b</td><td>feret</td><td>FERET</td><td><a href="papers/31de9b3dd6106ce6eec9a35991b2b9083395fd0b.html" target="_blank">FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results</a></td><td><a href="https://pdfs.semanticscholar.org/31de/9b3dd6106ce6eec9a35991b2b9083395fd0b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>75</td><td>34</td><td>41</td><td>5</td><td>54</td><td>20</td></tr><tr><td>0e986f51fe45b00633de9fd0c94d082d2be51406</td><td>afw</td><td>AFW</td><td><a href="papers/0e986f51fe45b00633de9fd0c94d082d2be51406.html" target="_blank">Face detection, pose estimation, and landmark localization in the wild</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>999</td><td>605</td><td>394</td><td>45</td><td>576</td><td>422</td></tr><tr><td>560e0e58d0059259ddf86fcec1fa7975dee6a868</td><td>youtube_faces</td><td>YouTubeFaces</td><td><a href="papers/560e0e58d0059259ddf86fcec1fa7975dee6a868.html" target="_blank">Face recognition in unconstrained videos with matched background similarity</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>509</td><td>291</td><td>217</td><td>28</td><td>294</td><td>216</td></tr><tr><td>670637d0303a863c1548d5b19f705860a23e285c</td><td>face_tracer</td><td>FaceTracer</td><td><a href="papers/670637d0303a863c1548d5b19f705860a23e285c.html" target="_blank">Face swapping: automatically replacing faces in photographs</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>6204776d31359d129a582057c2d788a14f8aadeb</td><td>youtube_celebrities</td><td>YouTube Celebrities</td><td><a href="papers/6204776d31359d129a582057c2d788a14f8aadeb.html" target="_blank">Face tracking and recognition with visual constraints in real-world videos</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Rutgers University</td><td>United States</td><td>40.47913175</td><td>-74.43168868</td><td>53%</td><td>267</td><td>142</td><td>124</td><td>14</td><td>125</td><td>121</td></tr><tr><td>4c170a0dcc8de75587dae21ca508dab2f9343974</td><td>face_tracer</td><td>FaceTracer</td><td><a href="papers/4c170a0dcc8de75587dae21ca508dab2f9343974.html" target="_blank">FaceTracer: A Search Engine for Large Collections of Images with Faces</a></td><td><a href="https://pdfs.semanticscholar.org/73a8/1d311eedac8dea3ca24dc15b6990fa4a725e.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>225</td><td>126</td><td>99</td><td>17</td><td>146</td><td>77</td></tr><tr><td>7ebb153704706e457ab57b432793d2b6e5d12592</td><td>vgg_celebs_in_places</td><td>CIP</td><td><a href="papers/7ebb153704706e457ab57b432793d2b6e5d12592.html" target="_blank">Faces in Places: compound query retrieval</a></td><td><a href="https://pdfs.semanticscholar.org/7ebb/153704706e457ab57b432793d2b6e5d12592.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>80%</td><td>5</td><td>4</td><td>1</td><td>0</td><td>3</td><td>2</td></tr><tr><td>0ab7cff2ccda7269b73ff6efd9d37e1318f7db25</td><td>ibm_dif</td><td>IBM Diversity in Faces</td><td><a href="papers/0ab7cff2ccda7269b73ff6efd9d37e1318f7db25.html" target="_blank">Facial Coding Scheme Reference 1 Craniofacial Distances</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>8a3c5507237957d013a0fe0f082cab7f757af6ee</td><td>mafl</td><td>MAFL</td><td><a href="papers/8a3c5507237957d013a0fe0f082cab7f757af6ee.html" target="_blank">Facial Landmark Detection by Deep Multi-task Learning</a></td><td><a href="https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>407</td><td>239</td><td>168</td><td>18</td><td>252</td><td>153</td></tr><tr><td>8a3c5507237957d013a0fe0f082cab7f757af6ee</td><td>mtfl</td><td>MTFL</td><td><a href="papers/8a3c5507237957d013a0fe0f082cab7f757af6ee.html" target="_blank">Facial Landmark Detection by Deep Multi-task Learning</a></td><td><a href="https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>407</td><td>239</td><td>168</td><td>18</td><td>252</td><td>153</td></tr><tr><td>4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7</td><td>deep_fashion</td><td>DeepFashion</td><td><a href="papers/4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7.html" target="_blank">Fashion Landmark Detection in the Wild</a></td><td><a href="https://arxiv.org/pdf/1608.03049.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>69%</td><td>26</td><td>18</td><td>8</td><td>1</td><td>16</td><td>10</td></tr><tr><td>060820f110a72cbf02c14a6d1085bd6e1d994f6a</td><td>caltech_crp</td><td>Caltech CRP</td><td><a href="papers/060820f110a72cbf02c14a6d1085bd6e1d994f6a.html" target="_blank">Fine-grained classification of pedestrians in video: Benchmark and state of the art</a></td><td><a href="https://arxiv.org/pdf/1605.06177.pdf" target="_blank">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>35%</td><td>17</td><td>6</td><td>11</td><td>0</td><td>9</td><td>8</td></tr><tr><td>45e616093a92e5f1e61a7c6037d5f637aa8964af</td><td>malf</td><td>MALF</td><td><a href="papers/45e616093a92e5f1e61a7c6037d5f637aa8964af.html" target="_blank">Fine-grained evaluation on face detection in the wild</a></td><td><span class="gray">[pdf]</a></td><td>2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</td><td></td><td></td><td></td><td></td><td></td><td>65%</td><td>17</td><td>11</td><td>6</td><td>0</td><td>12</td><td>5</td></tr><tr><td>1aad2da473888cb7ebc1bfaa15bfa0f1502ce005</td><td>jpl_pose</td><td>JPL-Interaction dataset</td><td><a href="papers/1aad2da473888cb7ebc1bfaa15bfa0f1502ce005.html" target="_blank">First-Person Activity Recognition: What Are They Doing to Me?</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>66%</td><td>148</td><td>98</td><td>50</td><td>7</td><td>105</td><td>43</td></tr><tr><td>7b92d1e53cc87f7a4256695de590098a2f30261e</td><td>appa_real</td><td>APPA-REAL</td><td><a href="papers/7b92d1e53cc87f7a4256695de590098a2f30261e.html" target="_blank">From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation</a></td><td><span class="gray">[pdf]</a></td><td>2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>774cbb45968607a027ae4729077734db000a1ec5</td><td>urban_tribes</td><td>Urban Tribes</td><td><a href="papers/774cbb45968607a027ae4729077734db000a1ec5.html" target="_blank">From Bikers to Surfers: Visual Recognition of Urban Tribes</a></td><td><a href="http://vision.cornell.edu/se3/wp-content/uploads/2014/09/utribes_bmvc13_final.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>67%</td><td>18</td><td>12</td><td>6</td><td>1</td><td>12</td><td>6</td></tr><tr><td>22f656d0f8426c84a33a267977f511f127bfd7f3</td><td>expw</td><td>ExpW</td><td><a href="papers/22f656d0f8426c84a33a267977f511f127bfd7f3.html" target="_blank">From Facial Expression Recognition to Interpersonal Relation Prediction</a></td><td><a href="https://arxiv.org/pdf/1609.06426.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>11</td><td>6</td><td>5</td><td>0</td><td>5</td><td>4</td></tr><tr><td>18c72175ddbb7d5956d180b65a96005c100f6014</td><td>yale_faces</td><td>YaleFaces</td><td><a href="papers/18c72175ddbb7d5956d180b65a96005c100f6014.html" target="_blank">From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose</a></td><td><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.147.1487&rep=rep1&type=pdf" target="_blank">[pdf]</a></td><td>IEEE Trans. Pattern Anal. Mach. Intell.</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>999</td><td>516</td><td>483</td><td>66</td><td>497</td><td>462</td></tr><tr><td>06f02199690961ba52997cde1527e714d2b3bf8f</td><td>columbia_gaze</td><td>Columbia Gaze</td><td><a href="papers/06f02199690961ba52997cde1527e714d2b3bf8f.html" target="_blank">Gaze locking: passive eye contact detection for human-object interaction</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Columbia University</td><td>United States</td><td>40.84198360</td><td>-73.94368971</td><td>70%</td><td>79</td><td>55</td><td>24</td><td>0</td><td>49</td><td>34</td></tr><tr><td>18858cc936947fc96b5c06bbe3c6c2faa5614540</td><td>pilot_parliament</td><td>PPB</td><td><a href="papers/18858cc936947fc96b5c06bbe3c6c2faa5614540.html" target="_blank">Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification</a></td><td><a href="http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>59</td><td>29</td><td>30</td><td>0</td><td>47</td><td>10</td></tr><tr><td>2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d</td><td>kin_face</td><td>UB KinFace</td><td><a href="papers/2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d.html" target="_blank">Genealogical face recognition based on UB KinFace database</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td>edu</td><td>SUNY Buffalo</td><td>United States</td><td>42.93362780</td><td>-78.88394479</td><td>55%</td><td>31</td><td>17</td><td>14</td><td>0</td><td>11</td><td>21</td></tr><tr><td>2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9</td><td>graz</td><td>Graz Pedestrian</td><td><a href="papers/2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9.html" target="_blank">Generic object recognition with boosting</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td>edu</td><td>TU Graz</td><td>Austria</td><td>47.07071400</td><td>15.43950400</td><td>47%</td><td>293</td><td>138</td><td>155</td><td>16</td><td>195</td><td>97</td></tr><tr><td>17b46e2dad927836c689d6787ddb3387c6159ece</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/17b46e2dad927836c689d6787ddb3387c6159ece.html" target="_blank">GeoFaceExplorer: exploring the geo-dependence of facial attributes</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>2</td><td>2</td><td>0</td><td>0</td><td>1</td><td>1</td></tr><tr><td>bd88bb2e4f351352d88ee7375af834360e223498</td><td>hda_plus</td><td>HDA+</td><td><a href="papers/bd88bb2e4f351352d88ee7375af834360e223498.html" target="_blank">HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance</a></td><td><a href="https://pdfs.semanticscholar.org/bd88/bb2e4f351352d88ee7375af834360e223498.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>0%</td><td>2</td><td>0</td><td>2</td><td>0</td><td>1</td><td>2</td></tr><tr><td>a8d0b149c2eadaa02204d3e4356fbc8eccf3b315</td><td>hi4d_adsip</td><td>Hi4D-ADSIP</td><td><a href="papers/a8d0b149c2eadaa02204d3e4356fbc8eccf3b315.html" target="_blank">Hi4D-ADSIP 3-D dynamic facial articulation database</a></td><td><span class="gray">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>15</td><td>9</td><td>6</td><td>1</td><td>4</td><td>11</td></tr><tr><td>2d45cfd838016a6e39f6b766ffe85acd649440c7</td><td>mcgill</td><td>McGill Real World</td><td><a href="papers/2d45cfd838016a6e39f6b766ffe85acd649440c7.html" target="_blank">Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos</a></td><td><span class="gray">[pdf]</a></td><td>Computer Vision and Image Understanding</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>8</td><td>4</td><td>4</td><td>1</td><td>5</td><td>3</td></tr><tr><td>3cd40bfa1ff193a96bde0207e5140a399476466c</td><td>tvhi</td><td>TVHI</td><td><a href="papers/3cd40bfa1ff193a96bde0207e5140a399476466c.html" target="_blank">High Five: Recognising human interactions in TV shows</a></td><td><a href="https://pdfs.semanticscholar.org/3cd4/0bfa1ff193a96bde0207e5140a399476466c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>98</td><td>49</td><td>49</td><td>10</td><td>66</td><td>28</td></tr><tr><td>04c2cda00e5536f4b1508cbd80041e9552880e67</td><td>hipsterwars</td><td>Hipsterwars</td><td><a href="papers/04c2cda00e5536f4b1508cbd80041e9552880e67.html" target="_blank">Hipster Wars: Discovering Elements of Fashion Styles</a></td><td><a href="https://pdfs.semanticscholar.org/04c2/cda00e5536f4b1508cbd80041e9552880e67.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>63%</td><td>95</td><td>60</td><td>35</td><td>4</td><td>59</td><td>35</td></tr><tr><td>10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5</td><td>inria_person</td><td>INRIA Pedestrian</td><td><a href="papers/10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5.html" target="_blank">Histograms of oriented gradients for human detection</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)</td><td>edu</td><td>INRIA Rhone-Alps, Montbonnot, France</td><td>France</td><td>45.21788600</td><td>5.80736900</td><td>51%</td><td>999</td><td>510</td><td>489</td><td>44</td><td>419</td><td>509</td></tr><tr><td>041d3eedf5e45ce5c5229f0181c5c576ed1fafd6</td><td>ucf_selfie</td><td>UCF Selfie</td><td><a href="papers/041d3eedf5e45ce5c5229f0181c5c576ed1fafd6.html" target="_blank">How to Take a Good Selfie?</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>73%</td><td>11</td><td>8</td><td>3</td><td>0</td><td>7</td><td>5</td></tr><tr><td>44d23df380af207f5ac5b41459c722c87283e1eb</td><td>wider_attribute</td><td>WIDER Attribute</td><td><a href="papers/44d23df380af207f5ac5b41459c722c87283e1eb.html" target="_blank">Human Attribute Recognition by Deep Hierarchical Contexts</a></td><td><a href="https://pdfs.semanticscholar.org/8e28/07f2dd53b03a759e372e07f7191cae65c9fd.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>67%</td><td>18</td><td>12</td><td>6</td><td>0</td><td>14</td><td>4</td></tr><tr><td>44484d2866f222bbb9b6b0870890f9eea1ffb2d0</td><td>cuhk_campus_03</td><td>CUHK03 Campus</td><td><a href="papers/44484d2866f222bbb9b6b0870890f9eea1ffb2d0.html" target="_blank">Human Reidentification with Transferred Metric Learning</a></td><td><a href="http://www.ee.cuhk.edu.hk/~xgwang/papers/liZWaccv12.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>280</td><td>168</td><td>112</td><td>12</td><td>139</td><td>137</td></tr><tr><td>f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44</td><td>pa_100k</td><td>PA-100K</td><td><a href="papers/f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44.html" target="_blank">HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>55</td><td>31</td><td>24</td><td>0</td><td>36</td><td>17</td></tr><tr><td>57178b36c21fd7f4529ac6748614bb3374714e91</td><td>ijb_c</td><td>IJB-C</td><td><a href="papers/57178b36c21fd7f4529ac6748614bb3374714e91.html" target="_blank">IARPA Janus Benchmark - C: Face Dataset and Protocol</a></td><td><span class="gray">[pdf]</a></td><td>2018 International Conference on Biometrics (ICB)</td><td></td><td></td><td></td><td></td><td></td><td>36%</td><td>14</td><td>5</td><td>9</td><td>2</td><td>12</td><td>1</td></tr><tr><td>0cb2dd5f178e3a297a0c33068961018659d0f443</td><td>ijb_b</td><td>IJB-B</td><td><a href="papers/0cb2dd5f178e3a297a0c33068961018659d0f443.html" target="_blank">IARPA Janus Benchmark-B Face Dataset</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>34%</td><td>35</td><td>12</td><td>23</td><td>6</td><td>25</td><td>8</td></tr><tr><td>0297448f3ed948e136bb06ceff10eccb34e5bb77</td><td>ilids_mcts</td><td>i-LIDS Multiple-Camera</td><td><a href="papers/0297448f3ed948e136bb06ceff10eccb34e5bb77.html" target="_blank">Imagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems</a></td><td><span class="gray">[pdf]</a></td><td>Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology</td><td></td><td></td><td></td><td></td><td></td><td>40%</td><td>35</td><td>14</td><td>21</td><td>2</td><td>21</td><td>14</td></tr><tr><td>7f23a4bb0c777dd72cca7665a5f370ac7980217e</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/7f23a4bb0c777dd72cca7665a5f370ac7980217e.html" target="_blank">Improving Person Re-identification by Attribute and Identity Learning</a></td><td><a href="https://arxiv.org/pdf/1703.07220.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>87</td><td>44</td><td>43</td><td>0</td><td>43</td><td>42</td></tr><tr><td>55c40cbcf49a0225e72d911d762c27bb1c2d14aa</td><td>ifad</td><td>IFAD</td><td><a href="papers/55c40cbcf49a0225e72d911d762c27bb1c2d14aa.html" target="_blank">Indian Face Age Database: A Database for Face Recognition with Age Variation</a></td><td><a href="https://pdfs.semanticscholar.org/025e/4cf3fd3fdeced91e9373b56ee14af7ca432c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>2</td><td>0</td></tr><tr><td>ca3e88d87e1344d076c964ea89d91a75c417f5ee</td><td>imfdb</td><td>IMFDB</td><td><a href="papers/ca3e88d87e1344d076c964ea89d91a75c417f5ee.html" target="_blank">Indian Movie Face Database: A benchmark for face recognition under wide variations</a></td><td><span class="gray">[pdf]</a></td><td>2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)</td><td>edu</td><td>BVBCET, Hubli, India</td><td>India</td><td>15.36883320</td><td>75.12137960</td><td>59%</td><td>17</td><td>10</td><td>7</td><td>0</td><td>11</td><td>5</td></tr><tr><td>95f12d27c3b4914e0668a268360948bce92f7db3</td><td>helen</td><td>Helen</td><td><a href="papers/95f12d27c3b4914e0668a268360948bce92f7db3.html" target="_blank">Interactive Facial Feature Localization</a></td><td><a href="https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>company</td><td>Facebook</td><td>United States</td><td>37.39367170</td><td>-122.08072620</td><td>57%</td><td>352</td><td>200</td><td>152</td><td>26</td><td>212</td><td>146</td></tr><tr><td>ad01687649d95cd5b56d7399a9603c4b8e2217d7</td><td>mrp_drone</td><td>MRP Drone</td><td><a href="papers/ad01687649d95cd5b56d7399a9603c4b8e2217d7.html" target="_blank">Investigating Open-World Person Re-identification Using a Drone</a></td><td><a href="https://pdfs.semanticscholar.org/ad01/687649d95cd5b56d7399a9603c4b8e2217d7.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>29%</td><td>7</td><td>2</td><td>5</td><td>1</td><td>5</td><td>2</td></tr><tr><td>2f43b614607163abf41dfe5d17ef6749a1b61304</td><td>hrt_transgender</td><td>HRT Transgender</td><td><a href="papers/2f43b614607163abf41dfe5d17ef6749a1b61304.html" target="_blank">Investigating the Periocular-Based Face Recognition Across Gender Transformation</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Information Forensics and Security</td><td>edu</td><td>University of North Carolina at Wilmington</td><td>United States</td><td>34.22498270</td><td>-77.86907744</td><td>69%</td><td>13</td><td>9</td><td>4</td><td>0</td><td>6</td><td>8</td></tr><tr><td>066d71fcd997033dce4ca58df924397dfe0b5fd1</td><td>ifdb</td><td>IFDB</td><td><a href="papers/066d71fcd997033dce4ca58df924397dfe0b5fd1.html" target="_blank">Iranian Face Database and Evaluation with a New Detection Algorithm</a></td><td><a href="https://pdfs.semanticscholar.org/066d/71fcd997033dce4ca58df924397dfe0b5fd1.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>b71d1aa90dcbe3638888725314c0d56640c1fef1</td><td>ifdb</td><td>IFDB</td><td><a href="papers/b71d1aa90dcbe3638888725314c0d56640c1fef1.html" target="_blank">Iranian Face Database with age, pose and expression</a></td><td><span class="gray">[pdf]</a></td><td>2007 International Conference on Machine Vision</td><td>edu</td><td>Islamic Azad University</td><td>Iran</td><td>34.84529990</td><td>48.55962120</td><td>30%</td><td>23</td><td>7</td><td>16</td><td>2</td><td>14</td><td>9</td></tr><tr><td>137aa2f891d474fce1e7a1d1e9b3aefe21e22b34</td><td>hrt_transgender</td><td>HRT Transgender</td><td><a href="papers/137aa2f891d474fce1e7a1d1e9b3aefe21e22b34.html" target="_blank">Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>7</td><td>4</td><td>3</td><td>1</td><td>3</td><td>5</td></tr><tr><td>0b440695c822a8e35184fb2f60dcdaa8a6de84ae</td><td>kinectface</td><td>KinectFaceDB</td><td><a href="papers/0b440695c822a8e35184fb2f60dcdaa8a6de84ae.html" target="_blank">KinectFaceDB: A Kinect Database for Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Systems, Man, and Cybernetics: Systems</td><td>edu</td><td>University of North Carolina at Chapel Hill</td><td>United States</td><td>35.91139710</td><td>-79.05045290</td><td>56%</td><td>82</td><td>46</td><td>36</td><td>6</td><td>28</td><td>52</td></tr><tr><td>4793f11fbca4a7dba898b9fff68f70d868e2497c</td><td>kin_face</td><td>UB KinFace</td><td><a href="papers/4793f11fbca4a7dba898b9fff68f70d868e2497c.html" target="_blank">Kinship Verification through Transfer Learning</a></td><td><a href="https://pdfs.semanticscholar.org/4793/f11fbca4a7dba898b9fff68f70d868e2497c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>71</td><td>40</td><td>31</td><td>2</td><td>29</td><td>42</td></tr><tr><td>2d3482dcff69c7417c7b933f22de606a0e8e42d4</td><td>lfw</td><td>LFW</td><td><a href="papers/2d3482dcff69c7417c7b933f22de606a0e8e42d4.html" target="_blank">Labeled Faces in the Wild : Updates and New Reporting Procedures</a></td><td><a href="https://pdfs.semanticscholar.org/2d34/82dcff69c7417c7b933f22de606a0e8e42d4.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>123</td><td>71</td><td>52</td><td>3</td><td>71</td><td>51</td></tr><tr><td>370b5757a5379b15e30d619e4d3fb9e8e13f3256</td><td>lfw</td><td>LFW</td><td><a href="papers/370b5757a5379b15e30d619e4d3fb9e8e13f3256.html" target="_blank">Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments</a></td><td><a href="https://pdfs.semanticscholar.org/c6b3/ca4f939e36a9679a70e14ce8b1bbbc5618f3.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>547</td><td>452</td><td>64</td><td>598</td><td>382</td></tr><tr><td>7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22</td><td>lfw</td><td>LFW</td><td><a href="papers/7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22.html" target="_blank">Labeled Faces in the Wild: A Survey</a></td><td><a href="https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>109</td><td>47</td><td>62</td><td>9</td><td>66</td><td>43</td></tr><tr><td>0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e</td><td>lag</td><td>LAG</td><td><a href="papers/0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e.html" target="_blank">Large age-gap face verification by feature injection in deep networks</a></td><td><a href="https://arxiv.org/pdf/1602.06149.pdf" target="_blank">[pdf]</a></td><td>Pattern Recognition Letters</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>7</td><td>3</td><td>4</td><td>0</td><td>3</td><td>4</td></tr><tr><td>07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1</td><td>uccs</td><td>UCCS</td><td><a href="papers/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1.html" target="_blank">Large scale unconstrained open set face database</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)</td><td></td><td></td><td></td><td></td><td></td><td>83%</td><td>6</td><td>5</td><td>1</td><td>0</td><td>4</td><td>2</td></tr><tr><td>4af89578ac237278be310f7660a408b03f12d603</td><td>geofaces</td><td>GeoFaces</td><td><a href="papers/4af89578ac237278be310f7660a408b03f12d603.html" target="_blank">Large-scale geo-facial image analysis</a></td><td><a href="https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf" target="_blank">[pdf]</a></td><td>EURASIP J. Image and Video Processing</td><td></td><td></td><td></td><td></td><td></td><td>83%</td><td>6</td><td>5</td><td>1</td><td>0</td><td>4</td><td>2</td></tr><tr><td>a0fd85b3400c7b3e11122f44dc5870ae2de9009a</td><td>mafl</td><td>MAFL</td><td><a href="papers/a0fd85b3400c7b3e11122f44dc5870ae2de9009a.html" target="_blank">Learning Deep Representation for Face Alignment with Auxiliary Attributes</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>108</td><td>56</td><td>52</td><td>11</td><td>66</td><td>44</td></tr><tr><td>a0fd85b3400c7b3e11122f44dc5870ae2de9009a</td><td>mtfl</td><td>MTFL</td><td><a href="papers/a0fd85b3400c7b3e11122f44dc5870ae2de9009a.html" target="_blank">Learning Deep Representation for Face Alignment with Auxiliary Attributes</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>108</td><td>56</td><td>52</td><td>11</td><td>66</td><td>44</td></tr><tr><td>853bd61bc48a431b9b1c7cab10c603830c488e39</td><td>casia_webface</td><td>CASIA Webface</td><td><a href="papers/853bd61bc48a431b9b1c7cab10c603830c488e39.html" target="_blank">Learning Face Representation from Scratch</a></td><td><a href="https://arxiv.org/pdf/1411.7923.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>476</td><td>277</td><td>199</td><td>26</td><td>290</td><td>182</td></tr><tr><td>2a171f8d14b6b8735001a11c217af9587d095848</td><td>social_relation</td><td>Social Relation</td><td><a href="papers/2a171f8d14b6b8735001a11c217af9587d095848.html" target="_blank">Learning Social Relation Traits from Face Images</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>23</td><td>10</td><td>13</td><td>4</td><td>16</td><td>7</td></tr><tr><td>4e4746094bf60ee83e40d8597a6191e463b57f76</td><td>leeds_sports_pose_extended</td><td>Leeds Sports Pose Extended</td><td><a href="papers/4e4746094bf60ee83e40d8597a6191e463b57f76.html" target="_blank">Learning effective human pose estimation from inaccurate annotation</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td>edu</td><td>University of Leeds</td><td>United Kingdom</td><td>53.80387185</td><td>-1.55245712</td><td>61%</td><td>169</td><td>103</td><td>66</td><td>8</td><td>108</td><td>65</td></tr><tr><td>287ddcb3db5562235d83aee318f318b8d5e43fb1</td><td>erce</td><td>ERCe</td><td><a href="papers/287ddcb3db5562235d83aee318f318b8d5e43fb1.html" target="_blank">Learning from Multiple Sources for Video Summarisation</a></td><td><a href="https://arxiv.org/pdf/1501.03069.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>7</td><td>4</td><td>3</td><td>0</td><td>4</td><td>3</td></tr><tr><td>287ddcb3db5562235d83aee318f318b8d5e43fb1</td><td>tisi</td><td>Times Square Intersection</td><td><a href="papers/287ddcb3db5562235d83aee318f318b8d5e43fb1.html" target="_blank">Learning from Multiple Sources for Video Summarisation</a></td><td><a href="https://arxiv.org/pdf/1501.03069.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>7</td><td>4</td><td>3</td><td>0</td><td>4</td><td>3</td></tr><tr><td>5981e6479c3fd4e31644db35d236bfb84ae46514</td><td>mot</td><td>MOT</td><td><a href="papers/5981e6479c3fd4e31644db35d236bfb84ae46514.html" target="_blank">Learning to associate: HybridBoosted multi-target tracker for crowded scene</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>University of Southern California</td><td>United States</td><td>34.02241490</td><td>-118.28634407</td><td>53%</td><td>326</td><td>172</td><td>153</td><td>27</td><td>190</td><td>137</td></tr><tr><td>6dd0597f8513dc100cd0bc1b493768cde45098a9</td><td>stickmen_buffy</td><td>Buffy Stickmen</td><td><a href="papers/6dd0597f8513dc100cd0bc1b493768cde45098a9.html" target="_blank">Learning to parse images of articulated bodies</a></td><td><a href="http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_899.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>369</td><td>207</td><td>161</td><td>32</td><td>237</td><td>131</td></tr><tr><td>6dd0597f8513dc100cd0bc1b493768cde45098a9</td><td>stickmen_pascal</td><td>Stickmen PASCAL</td><td><a href="papers/6dd0597f8513dc100cd0bc1b493768cde45098a9.html" target="_blank">Learning to parse images of articulated bodies</a></td><td><a href="http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_899.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>369</td><td>207</td><td>161</td><td>32</td><td>237</td><td>131</td></tr><tr><td>6dd0597f8513dc100cd0bc1b493768cde45098a9</td><td>stickmen_pascal</td><td>Stickmen PASCAL</td><td><a href="papers/6dd0597f8513dc100cd0bc1b493768cde45098a9.html" target="_blank">Learning to parse images of articulated bodies</a></td><td><a href="http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_899.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>369</td><td>207</td><td>161</td><td>32</td><td>237</td><td>131</td></tr><tr><td>28d4e027c7e90b51b7d8908fce68128d1964668a</td><td>megaface</td><td>MegaFace</td><td><a href="papers/28d4e027c7e90b51b7d8908fce68128d1964668a.html" target="_blank">Level Playing Field for Million Scale Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>39</td><td>19</td><td>20</td><td>2</td><td>29</td><td>9</td></tr><tr><td>46a01565e6afe7c074affb752e7069ee3bf2e4ef</td><td>sdu_vid</td><td>SDU-VID</td><td><a href="papers/46a01565e6afe7c074affb752e7069ee3bf2e4ef.html" target="_blank">Local Descriptors Encoded by Fisher Vectors for Person Re-identification</a></td><td><a href="https://pdfs.semanticscholar.org/a105/f1ef67b4b02da38eadce8ffb4e13aa301a93.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>197</td><td>114</td><td>83</td><td>16</td><td>108</td><td>88</td></tr><tr><td>140438a77a771a8fb656b39a78ff488066eb6b50</td><td>lfpw</td><td>LFWP</td><td><a href="papers/140438a77a771a8fb656b39a78ff488066eb6b50.html" target="_blank">Localizing Parts of Faces Using a Consensus of Exemplars</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>38b55d95189c5e69cf4ab45098a48fba407609b4</td><td>cuhk_campus_03</td><td>CUHK03 Campus</td><td><a href="papers/38b55d95189c5e69cf4ab45098a48fba407609b4.html" target="_blank">Locally Aligned Feature Transforms across Views</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>258</td><td>135</td><td>123</td><td>17</td><td>136</td><td>117</td></tr><tr><td>8990cdce3f917dad622e43e033db686b354d057c</td><td>tiny_faces</td><td>TinyFace</td><td><a href="papers/8990cdce3f917dad622e43e033db686b354d057c.html" target="_blank">Low-Resolution Face Recognition</a></td><td><a href="https://arxiv.org/pdf/1811.08965.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>c0387e788a52f10bf35d4d50659cfa515d89fbec</td><td>mars</td><td>MARS</td><td><a href="papers/c0387e788a52f10bf35d4d50659cfa515d89fbec.html" target="_blank">MARS: A Video Benchmark for Large-Scale Person Re-Identification</a></td><td><a href="https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>168</td><td>85</td><td>83</td><td>5</td><td>97</td><td>69</td></tr><tr><td>9055b155cbabdce3b98e16e5ac9c0edf00f9552f</td><td>morph</td><td>MORPH Commercial</td><td><a href="papers/9055b155cbabdce3b98e16e5ac9c0edf00f9552f.html" target="_blank">MORPH: a longitudinal image database of normal adult age-progression</a></td><td><span class="gray">[pdf]</a></td><td>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>437</td><td>225</td><td>211</td><td>24</td><td>228</td><td>203</td></tr><tr><td>9055b155cbabdce3b98e16e5ac9c0edf00f9552f</td><td>morph_nc</td><td>MORPH Non-Commercial</td><td><a href="papers/9055b155cbabdce3b98e16e5ac9c0edf00f9552f.html" target="_blank">MORPH: a longitudinal image database of normal adult age-progression</a></td><td><span class="gray">[pdf]</a></td><td>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>437</td><td>225</td><td>211</td><td>24</td><td>228</td><td>203</td></tr><tr><td>291265db88023e92bb8c8e6390438e5da148e8f5</td><td>msceleb</td><td>MsCeleb</td><td><a href="papers/291265db88023e92bb8c8e6390438e5da148e8f5.html" target="_blank">MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition</a></td><td><a href="https://arxiv.org/pdf/1607.08221.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>180</td><td>88</td><td>92</td><td>16</td><td>120</td><td>59</td></tr><tr><td>3dc3f0b64ef80f573e3a5f96e456e52ee980b877</td><td>georgia_tech_face_database</td><td>Georgia Tech Face</td><td><a href="papers/3dc3f0b64ef80f573e3a5f96e456e52ee980b877.html" target="_blank">Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition</a></td><td><a href="http://www.researchgate.net/profile/Monson_Hayes/publication/221124512_Maximum_Likelihood_Training_of_the_Embedded_HMM_for_Face_Detection_and_Recognition/links/0deec53509be9d6f55000000.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>42%</td><td>67</td><td>28</td><td>39</td><td>4</td><td>29</td><td>28</td></tr><tr><td>e58dd160a76349d46f881bd6ddbc2921f08d1050</td><td>gfw</td><td>Grouping Face in the Wild</td><td><a href="papers/e58dd160a76349d46f881bd6ddbc2921f08d1050.html" target="_blank">Merge or Not? Learning to Group Faces via Imitation Learning</a></td><td><a href="https://arxiv.org/pdf/1707.03986.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>2</td><td>0</td></tr><tr><td>5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725</td><td>50_people_one_question</td><td>50 People One Question</td><td><a href="papers/5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725.html" target="_blank">Merging Pose Estimates Across Space and Time</a></td><td><a href="http://authors.library.caltech.edu/41565/1/tracking_bmvc.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>81%</td><td>16</td><td>13</td><td>3</td><td>0</td><td>13</td><td>4</td></tr><tr><td>5e0f8c355a37a5a89351c02f174e7a5ddcb98683</td><td>coco</td><td>COCO</td><td><a href="papers/5e0f8c355a37a5a89351c02f174e7a5ddcb98683.html" target="_blank">Microsoft COCO: Common Objects in Context</a></td><td><a href="https://arxiv.org/pdf/1405.0312.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>545</td><td>454</td><td>26</td><td>722</td><td>259</td></tr><tr><td>41976ebc8ab76d9a6861487c97cc7fcbe3b6015f</td><td>moments_in_time</td><td>Moments in Time</td><td><a href="papers/41976ebc8ab76d9a6861487c97cc7fcbe3b6015f.html" target="_blank">Moments in Time Dataset: one million videos for event understanding</a></td><td><a href="https://arxiv.org/pdf/1801.03150.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>66%</td><td>29</td><td>19</td><td>10</td><td>2</td><td>27</td><td>2</td></tr><tr><td>436f798d1a4e54e5947c1e7d7375c31b2bdb4064</td><td>tud_multiview</td><td>TUD-Multiview</td><td><a href="papers/436f798d1a4e54e5947c1e7d7375c31b2bdb4064.html" target="_blank">Monocular 3D pose estimation and tracking by detection</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>TU Darmstadt</td><td>Germany</td><td>49.87482770</td><td>8.65632810</td><td>55%</td><td>311</td><td>172</td><td>139</td><td>35</td><td>208</td><td>105</td></tr><tr><td>436f798d1a4e54e5947c1e7d7375c31b2bdb4064</td><td>tud_stadtmitte</td><td>TUD-Stadtmitte</td><td><a href="papers/436f798d1a4e54e5947c1e7d7375c31b2bdb4064.html" target="_blank">Monocular 3D pose estimation and tracking by detection</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>TU Darmstadt</td><td>Germany</td><td>49.87482770</td><td>8.65632810</td><td>55%</td><td>311</td><td>172</td><td>139</td><td>35</td><td>208</td><td>105</td></tr><tr><td>3b5b6d19d4733ab606c39c69a889f9e67967f151</td><td>qmul_grid</td><td>GRID</td><td><a href="papers/3b5b6d19d4733ab606c39c69a889f9e67967f151.html" target="_blank">Multi-camera activity correlation analysis</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Queen Mary University of London</td><td>United Kingdom</td><td>51.52472720</td><td>-0.03931035</td><td>62%</td><td>142</td><td>88</td><td>54</td><td>7</td><td>77</td><td>64</td></tr><tr><td>6ad5a38df8dd4cdddd74f31996ce096d41219f72</td><td>tud_brussels</td><td>TUD-Brussels</td><td><a href="papers/6ad5a38df8dd4cdddd74f31996ce096d41219f72.html" target="_blank">Multi-cue onboard pedestrian detection</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>6ad5a38df8dd4cdddd74f31996ce096d41219f72</td><td>tud_motionpairs</td><td>TUD-Motionparis</td><td><a href="papers/6ad5a38df8dd4cdddd74f31996ce096d41219f72.html" target="_blank">Multi-cue onboard pedestrian detection</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>32c801cb7fbeb742edfd94cccfca4934baec71da</td><td>ucf_crowd</td><td>UCF-CC-50</td><td><a href="papers/32c801cb7fbeb742edfd94cccfca4934baec71da.html" target="_blank">Multi-source Multi-scale Counting in Extremely Dense Crowd Images</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>64%</td><td>148</td><td>95</td><td>53</td><td>5</td><td>80</td><td>65</td></tr><tr><td>1e3df3ca8feab0b36fd293fe689f93bb2aaac591</td><td>immediacy</td><td>Immediacy</td><td><a href="papers/1e3df3ca8feab0b36fd293fe689f93bb2aaac591.html" target="_blank">Multi-task Recurrent Neural Network for Immediacy Prediction</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>26</td><td>15</td><td>11</td><td>2</td><td>21</td><td>6</td></tr><tr><td>2b926b3586399d028b46315d7d9fb9d879e4f79c</td><td>frav3d</td><td>FRAV3D</td><td><a href="papers/2b926b3586399d028b46315d7d9fb9d879e4f79c.html" target="_blank">Multimodal 2D, 2.5D & 3D Face Verification</a></td><td><span class="gray">[pdf]</a></td><td>2006 International Conference on Image Processing</td><td>edu</td><td>Universidad Rey Juan Carlos, Spain</td><td>Spain</td><td>40.33586610</td><td>-3.87694320</td><td>50%</td><td>14</td><td>7</td><td>7</td><td>0</td><td>2</td><td>12</td></tr><tr><td>53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4</td><td>bp4d_plus</td><td>BP4D+</td><td><a href="papers/53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4.html" target="_blank">Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>48%</td><td>42</td><td>20</td><td>22</td><td>0</td><td>17</td><td>26</td></tr><tr><td>2fda164863a06a92d3a910b96eef927269aeb730</td><td>names_and_faces</td><td>News Dataset</td><td><a href="papers/2fda164863a06a92d3a910b96eef927269aeb730.html" target="_blank">Names and faces in the news</a></td><td><span class="gray">[pdf]</a></td><td>Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06</td><td>distance_nighttime</td><td>Long Distance Heterogeneous Face</td><td><a href="papers/4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06.html" target="_blank">Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching</a></td><td><a href="https://pdfs.semanticscholar.org/4156/b7e88f2e0ab0a7c095b9bab199ae2b23bd06.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>22</td><td>10</td><td>12</td><td>3</td><td>11</td><td>10</td></tr><tr><td>3394168ff0719b03ff65bcea35336a76b21fe5e4</td><td>penn_fudan</td><td>Penn Fudan</td><td><a href="papers/3394168ff0719b03ff65bcea35336a76b21fe5e4.html" target="_blank">Object Detection Combining Recognition and Segmentation</a></td><td><a href="https://pdfs.semanticscholar.org/3394/168ff0719b03ff65bcea35336a76b21fe5e4.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>105</td><td>53</td><td>52</td><td>9</td><td>58</td><td>43</td></tr><tr><td>12ad3b5bbbf407f8e54ea692c07633d1a867c566</td><td>graz</td><td>Graz Pedestrian</td><td><a href="papers/12ad3b5bbbf407f8e54ea692c07633d1a867c566.html" target="_blank">Object recognition using segmentation for feature detection</a></td><td><span class="gray">[pdf]</a></td><td>Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.</td><td>edu</td><td>Inst. of Comput. Sci., Univ. of Leoben, Austria</td><td>Austria</td><td>47.38473720</td><td>15.09302010</td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>4f93cd09785c6e77bf4bc5a788e079df524c8d21</td><td>soton</td><td>SOTON HiD</td><td><a href="papers/4f93cd09785c6e77bf4bc5a788e079df524c8d21.html" target="_blank">On a Large Sequence-Based Human Gait Database</a></td><td><a href="https://pdfs.semanticscholar.org/4f93/cd09785c6e77bf4bc5a788e079df524c8d21.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>60%</td><td>150</td><td>90</td><td>60</td><td>17</td><td>103</td><td>51</td></tr><tr><td>6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c</td><td>afad</td><td>AFAD</td><td><a href="papers/6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c.html" target="_blank">Ordinal Regression with Multiple Output CNN for Age Estimation</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>78</td><td>35</td><td>43</td><td>8</td><td>44</td><td>31</td></tr><tr><td>a7fe834a0af614ce6b50dc093132b031dd9a856b</td><td>market_1501</td><td>Market 1501</td><td><a href="papers/a7fe834a0af614ce6b50dc093132b031dd9a856b.html" target="_blank">Orientation Driven Bag of Appearances for Person Re-identification</a></td><td><a href="https://arxiv.org/pdf/1605.02464.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>7</td><td>3</td><td>4</td><td>0</td><td>4</td><td>4</td></tr><tr><td>a7fe834a0af614ce6b50dc093132b031dd9a856b</td><td>pku_reid</td><td>PKU-Reid</td><td><a href="papers/a7fe834a0af614ce6b50dc093132b031dd9a856b.html" target="_blank">Orientation Driven Bag of Appearances for Person Re-identification</a></td><td><a href="https://arxiv.org/pdf/1605.02464.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>7</td><td>3</td><td>4</td><td>0</td><td>4</td><td>4</td></tr><tr><td>18ae7c9a4bbc832b8b14bc4122070d7939f5e00e</td><td>frgc</td><td>FRGC</td><td><a href="papers/18ae7c9a4bbc832b8b14bc4122070d7939f5e00e.html" target="_blank">Overview of the face recognition grand challenge</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)</td><td>edu</td><td>NIST</td><td>United States</td><td>39.14004000</td><td>-77.21850600</td><td>52%</td><td>999</td><td>519</td><td>479</td><td>86</td><td>549</td><td>442</td></tr><tr><td>22909dd19a0ec3b6065334cb5be5392cb24d839d</td><td>pets</td><td>PETS 2017</td><td><a href="papers/22909dd19a0ec3b6065334cb5be5392cb24d839d.html" target="_blank">PETS 2017: Dataset and Challenge</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</td><td></td><td></td><td></td><td></td><td></td><td>11%</td><td>9</td><td>1</td><td>8</td><td>0</td><td>1</td><td>8</td></tr><tr><td>56ffa7d906b08d02d6d5a12c7377a57e24ef3391</td><td>unbc_shoulder_pain</td><td>UNBC-McMaster Pain</td><td><a href="papers/56ffa7d906b08d02d6d5a12c7377a57e24ef3391.html" target="_blank">Painful data: The UNBC-McMaster shoulder pain expression archive database</a></td><td><span class="gray">[pdf]</a></td><td>Face and Gesture 2011</td><td>edu</td><td>Carnegie Mellon University Silicon Valley</td><td>United States</td><td>37.41021930</td><td>-122.05965487</td><td>51%</td><td>189</td><td>97</td><td>92</td><td>22</td><td>108</td><td>78</td></tr><tr><td>55206f0b5f57ce17358999145506cd01e570358c</td><td>orl</td><td>ORL</td><td><a href="papers/55206f0b5f57ce17358999145506cd01e570358c.html" target="_blank">Parameterisation of a stochastic model for human face identification</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>999</td><td>452</td><td>547</td><td>94</td><td>543</td><td>427</td></tr><tr><td>0486214fb58ee9a04edfe7d6a74c6d0f661a7668</td><td>chokepoint</td><td>ChokePoint</td><td><a href="papers/0486214fb58ee9a04edfe7d6a74c6d0f661a7668.html" target="_blank">Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>138</td><td>72</td><td>66</td><td>6</td><td>76</td><td>63</td></tr><tr><td>488e475eeb3bb39a145f23ede197cd3620f1d98a</td><td>apis</td><td>APiS1.0</td><td><a href="papers/488e475eeb3bb39a145f23ede197cd3620f1d98a.html" target="_blank">Pedestrian Attribute Classification in Surveillance: Database and Evaluation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision Workshops</td><td></td><td></td><td></td><td></td><td></td><td>68%</td><td>28</td><td>19</td><td>9</td><td>0</td><td>13</td><td>15</td></tr><tr><td>488e475eeb3bb39a145f23ede197cd3620f1d98a</td><td>svs</td><td>SVS</td><td><a href="papers/488e475eeb3bb39a145f23ede197cd3620f1d98a.html" target="_blank">Pedestrian Attribute Classification in Surveillance: Database and Evaluation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision Workshops</td><td></td><td></td><td></td><td></td><td></td><td>68%</td><td>28</td><td>19</td><td>9</td><td>0</td><td>13</td><td>15</td></tr><tr><td>2a4bbee0b4cf52d5aadbbc662164f7efba89566c</td><td>peta</td><td>PETA</td><td><a href="papers/2a4bbee0b4cf52d5aadbbc662164f7efba89566c.html" target="_blank">Pedestrian Attribute Recognition At Far Distance</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>62%</td><td>88</td><td>55</td><td>33</td><td>1</td><td>50</td><td>36</td></tr><tr><td>f72f6a45ee240cc99296a287ff725aaa7e7ebb35</td><td>caltech_pedestrians</td><td>Caltech Pedestrians</td><td><a href="papers/f72f6a45ee240cc99296a287ff725aaa7e7ebb35.html" target="_blank">Pedestrian Detection: An Evaluation of the State of the Art</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td>edu</td><td>California Institute of Technology</td><td>United States</td><td>34.13710185</td><td>-118.12527487</td><td>51%</td><td>999</td><td>511</td><td>488</td><td>71</td><td>526</td><td>466</td></tr><tr><td>1dc35905a1deff8bc74688f2d7e2f48fd2273275</td><td>caltech_pedestrians</td><td>Caltech Pedestrians</td><td><a href="papers/1dc35905a1deff8bc74688f2d7e2f48fd2273275.html" target="_blank">Pedestrian detection: A benchmark</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>3316521a5527c7700af8ae6aef32a79a8b83672c</td><td>tud_campus</td><td>TUD-Campus</td><td><a href="papers/3316521a5527c7700af8ae6aef32a79a8b83672c.html" target="_blank">People-tracking-by-detection and people-detection-by-tracking</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>545</td><td>287</td><td>257</td><td>40</td><td>330</td><td>218</td></tr><tr><td>3316521a5527c7700af8ae6aef32a79a8b83672c</td><td>tud_crossing</td><td>TUD-Crossing</td><td><a href="papers/3316521a5527c7700af8ae6aef32a79a8b83672c.html" target="_blank">People-tracking-by-detection and people-detection-by-tracking</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>545</td><td>287</td><td>257</td><td>40</td><td>330</td><td>218</td></tr><tr><td>3316521a5527c7700af8ae6aef32a79a8b83672c</td><td>tud_pedestrian</td><td>TUD-Pedestrian</td><td><a href="papers/3316521a5527c7700af8ae6aef32a79a8b83672c.html" target="_blank">People-tracking-by-detection and people-detection-by-tracking</a></td><td><span class="gray">[pdf]</a></td><td>2008 IEEE Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>545</td><td>287</td><td>257</td><td>40</td><td>330</td><td>218</td></tr><tr><td>27a2fad58dd8727e280f97036e0d2bc55ef5424c</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/27a2fad58dd8727e280f97036e0d2bc55ef5424c.html" target="_blank">Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking</a></td><td><a href="https://arxiv.org/pdf/1609.01775.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Duke University</td><td>United States</td><td>35.99905220</td><td>-78.92906290</td><td>55%</td><td>169</td><td>93</td><td>76</td><td>6</td><td>113</td><td>54</td></tr><tr><td>27a2fad58dd8727e280f97036e0d2bc55ef5424c</td><td>mot</td><td>MOT</td><td><a href="papers/27a2fad58dd8727e280f97036e0d2bc55ef5424c.html" target="_blank">Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking</a></td><td><a href="https://arxiv.org/pdf/1609.01775.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>edu</td><td>Duke University</td><td>United States</td><td>35.99905220</td><td>-78.92906290</td><td>55%</td><td>169</td><td>93</td><td>76</td><td>6</td><td>113</td><td>54</td></tr><tr><td>16c7c31a7553d99f1837fc6e88e77b5ccbb346b8</td><td>prid</td><td>PRID</td><td><a href="papers/16c7c31a7553d99f1837fc6e88e77b5ccbb346b8.html" target="_blank">Person Re-identification by Descriptive and Discriminative Classification</a></td><td><a href="https://pdfs.semanticscholar.org/4c1b/f0592be3e535faf256c95e27982db9b3d3d3.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>57%</td><td>386</td><td>221</td><td>165</td><td>25</td><td>204</td><td>180</td></tr><tr><td>98bb029afe2a1239c3fdab517323066f0957b81b</td><td>ilids_mcts_vid</td><td>iLIDS-VID</td><td><a href="papers/98bb029afe2a1239c3fdab517323066f0957b81b.html" target="_blank">Person Re-identification by Video Ranking</a></td><td><a href="https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>209</td><td>123</td><td>86</td><td>9</td><td>111</td><td>97</td></tr><tr><td>98bb029afe2a1239c3fdab517323066f0957b81b</td><td>sdu_vid</td><td>SDU-VID</td><td><a href="papers/98bb029afe2a1239c3fdab517323066f0957b81b.html" target="_blank">Person Re-identification by Video Ranking</a></td><td><a href="https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>209</td><td>123</td><td>86</td><td>9</td><td>111</td><td>97</td></tr><tr><td>0b84f07af44f964817675ad961def8a51406dd2e</td><td>prw</td><td>PRW</td><td><a href="papers/0b84f07af44f964817675ad961def8a51406dd2e.html" target="_blank">Person Re-identification in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>77</td><td>35</td><td>42</td><td>2</td><td>47</td><td>27</td></tr><tr><td>a0cc5f73a37723a6dd465924143f1cb4976d0169</td><td>msmt_17</td><td>MSMT17</td><td><a href="papers/a0cc5f73a37723a6dd465924143f1cb4976d0169.html" target="_blank">Person Transfer GAN to Bridge Domain Gap for Person Re-identification</a></td><td><span class="gray">[pdf]</a></td><td>2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>71%</td><td>24</td><td>17</td><td>7</td><td>1</td><td>20</td><td>4</td></tr><tr><td>1c2802c2199b6d15ecefe7ba0c39bfe44363de38</td><td>youtube_poses</td><td>YouTube Pose</td><td><a href="papers/1c2802c2199b6d15ecefe7ba0c39bfe44363de38.html" target="_blank">Personalizing Human Video Pose Estimation</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>36</td><td>20</td><td>16</td><td>2</td><td>30</td><td>8</td></tr><tr><td>2830fb5282de23d7784b4b4bc37065d27839a412</td><td>h3d</td><td>H3D</td><td><a href="papers/2830fb5282de23d7784b4b4bc37065d27839a412.html" target="_blank">Poselets: Body part detectors trained using 3D human pose annotations</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE 12th International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>716</td><td>370</td><td>346</td><td>60</td><td>492</td><td>222</td></tr><tr><td>3765df816dc5a061bc261e190acc8bdd9d47bec0</td><td>rafd</td><td>RaFD</td><td><a href="papers/3765df816dc5a061bc261e190acc8bdd9d47bec0.html" target="_blank">Presentation and validation of the Radboud Faces Database</a></td><td><a href="https://pdfs.semanticscholar.org/3765/df816dc5a061bc261e190acc8bdd9d47bec0.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>39%</td><td>487</td><td>192</td><td>295</td><td>39</td><td>342</td><td>144</td></tr><tr><td>636b8ffc09b1b23ff714ac8350bb35635e49fa3c</td><td>caltech_10k_web_faces</td><td>Caltech 10K Web Faces</td><td><a href="papers/636b8ffc09b1b23ff714ac8350bb35635e49fa3c.html" target="_blank">Pruning training sets for learning of object categories</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)</td><td></td><td></td><td></td><td></td><td></td><td>63%</td><td>63</td><td>40</td><td>23</td><td>5</td><td>42</td><td>20</td></tr><tr><td>3531332efe19be21e7401ba1f04570a142617236</td><td>ufdd</td><td>UFDD</td><td><a href="papers/3531332efe19be21e7401ba1f04570a142617236.html" target="_blank">Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results</a></td><td><a href="https://arxiv.org/pdf/1804.10275.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>25%</td><td>4</td><td>1</td><td>3</td><td>1</td><td>4</td><td>0</td></tr><tr><td>140c95e53c619eac594d70f6369f518adfea12ef</td><td>ijb_a</td><td>IJB-A</td><td><a href="papers/140c95e53c619eac594d70f6369f518adfea12ef.html" target="_blank">Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>237</td><td>123</td><td>114</td><td>22</td><td>159</td><td>76</td></tr><tr><td>c72a2ea819df9b0e8cd267eebcc6528b8741e03d</td><td>megaage</td><td>MegaAge</td><td><a href="papers/c72a2ea819df9b0e8cd267eebcc6528b8741e03d.html" target="_blank">Quantifying Facial Age by Posterior of Age Comparisons</a></td><td><a href="https://arxiv.org/pdf/1708.09687.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>25%</td><td>4</td><td>1</td><td>3</td><td>1</td><td>4</td><td>0</td></tr><tr><td>922e0a51a3b8c67c4c6ac09a577ff674cbd28b34</td><td>v47</td><td>V47</td><td><a href="papers/922e0a51a3b8c67c4c6ac09a577ff674cbd28b34.html" target="_blank">Re-identification of pedestrians with variable occlusion and scale</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td>edu</td><td>Kingston University</td><td>United Kingdom</td><td>51.42930860</td><td>-0.26840440</td><td>22%</td><td>9</td><td>2</td><td>7</td><td>2</td><td>5</td><td>4</td></tr><tr><td>6f3c76b7c0bd8e1d122c6ea808a271fd4749c951</td><td>ward</td><td>WARD</td><td><a href="papers/6f3c76b7c0bd8e1d122c6ea808a271fd4749c951.html" target="_blank">Re-identify people in wide area camera network</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops</td><td>edu</td><td>University of Udine</td><td>Italy</td><td>46.08107230</td><td>13.21194740</td><td>40%</td><td>60</td><td>24</td><td>36</td><td>1</td><td>38</td><td>21</td></tr><tr><td>54983972aafc8e149259d913524581357b0f91c3</td><td>reseed</td><td>ReSEED</td><td><a href="papers/54983972aafc8e149259d913524581357b0f91c3.html" target="_blank">ReSEED: social event dEtection dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>67%</td><td>6</td><td>4</td><td>2</td><td>1</td><td>1</td><td>5</td></tr><tr><td>65355cbb581a219bd7461d48b3afd115263ea760</td><td>complex_activities</td><td>Ongoing Complex Activities</td><td><a href="papers/65355cbb581a219bd7461d48b3afd115263ea760.html" target="_blank">Recognition of ongoing complex activities by sequence prediction over a hierarchical label space</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Winter Conference on Applications of Computer Vision (WACV)</td><td></td><td></td><td></td><td></td><td></td><td>33%</td><td>3</td><td>1</td><td>2</td><td>0</td><td>3</td><td>0</td></tr><tr><td>e8de844fefd54541b71c9823416daa238be65546</td><td>visual_phrases</td><td>Phrasal Recognition</td><td><a href="papers/e8de844fefd54541b71c9823416daa238be65546.html" target="_blank">Recognition using visual phrases</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td>edu</td><td>University of Illinois, Urbana-Champaign</td><td>United States</td><td>40.11116745</td><td>-88.22587665</td><td>55%</td><td>246</td><td>135</td><td>111</td><td>18</td><td>170</td><td>68</td></tr><tr><td>356b431d4f7a2a0a38cf971c84568207dcdbf189</td><td>wider</td><td>WIDER</td><td><a href="papers/356b431d4f7a2a0a38cf971c84568207dcdbf189.html" target="_blank">Recognize complex events from static images by fusing deep channels</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>66%</td><td>44</td><td>29</td><td>15</td><td>1</td><td>29</td><td>15</td></tr><tr><td>25474c21613607f6bb7687a281d5f9d4ffa1f9f3</td><td>faceplace</td><td>Face Place</td><td><a href="papers/25474c21613607f6bb7687a281d5f9d4ffa1f9f3.html" target="_blank">Recognizing disguised faces</a></td><td><a href="https://pdfs.semanticscholar.org/d936/7ceb0be378c3a9ddf7cb741c678c1a3c574c.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>31%</td><td>29</td><td>9</td><td>20</td><td>0</td><td>18</td><td>10</td></tr><tr><td>4053e3423fb70ad9140ca89351df49675197196a</td><td>bio_id</td><td>BioID Face</td><td><a href="papers/4053e3423fb70ad9140ca89351df49675197196a.html" target="_blank">Robust Face Detection Using the Hausdorff Distance</a></td><td><a href="https://pdfs.semanticscholar.org/4053/e3423fb70ad9140ca89351df49675197196a.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>48%</td><td>511</td><td>247</td><td>264</td><td>51</td><td>329</td><td>182</td></tr><tr><td>2724ba85ec4a66de18da33925e537f3902f21249</td><td>cofw</td><td>COFW</td><td><a href="papers/2724ba85ec4a66de18da33925e537f3902f21249.html" target="_blank">Robust Face Landmark Estimation under Occlusion</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision</td><td>edu</td><td>California Institute of Technology</td><td>United States</td><td>34.13710185</td><td>-118.12527487</td><td>57%</td><td>325</td><td>185</td><td>140</td><td>19</td><td>194</td><td>133</td></tr><tr><td>c570d1247e337f91e555c3be0e8c8a5aba539d9f</td><td>mcgill</td><td>McGill Real World</td><td><a href="papers/c570d1247e337f91e555c3be0e8c8a5aba539d9f.html" target="_blank">Robust semi-automatic head pose labeling for real-world face video sequences</a></td><td><span class="gray">[pdf]</a></td><td>Multimedia Tools and Applications</td><td>edu</td><td>McGill University</td><td>Canada</td><td>45.50397610</td><td>-73.57496870</td><td>44%</td><td>18</td><td>8</td><td>10</td><td>0</td><td>13</td><td>7</td></tr><tr><td>e27ef52c641c2b5100a1b34fd0b819e84a31b4df</td><td>sarc3d</td><td>Sarc3D</td><td><a href="papers/e27ef52c641c2b5100a1b34fd0b819e84a31b4df.html" target="_blank">SARC3D: A New 3D Body Model for People Tracking and Re-identification</a></td><td><a href="https://pdfs.semanticscholar.org/e27e/f52c641c2b5100a1b34fd0b819e84a31b4df.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>34</td><td>17</td><td>17</td><td>3</td><td>21</td><td>12</td></tr><tr><td>bd26dabab576adb6af30484183c9c9c8379bf2e0</td><td>scut_fbp</td><td>SCUT-FBP</td><td><a href="papers/bd26dabab576adb6af30484183c9c9c8379bf2e0.html" target="_blank">SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Systems, Man, and Cybernetics</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>19</td><td>9</td><td>10</td><td>2</td><td>6</td><td>13</td></tr><tr><td>29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d</td><td>scface</td><td>SCface</td><td><a href="papers/29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d.html" target="_blank">SCface – surveillance cameras face database</a></td><td><a href="http://scface.org/SCface%20-%20Surveillance%20Cameras%20Face%20Database.pdf" target="_blank">[pdf]</a></td><td>Multimedia Tools and Applications</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>179</td><td>94</td><td>85</td><td>15</td><td>88</td><td>89</td></tr><tr><td>d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9</td><td>stair_actions</td><td>STAIR Action</td><td><a href="papers/d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9.html" target="_blank">STAIR Actions: A Video Dataset of Everyday Home Actions</a></td><td><a href="https://arxiv.org/pdf/1804.04326.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><td>833fa04463d90aab4a9fe2870d480f0b40df446e</td><td>sun_attributes</td><td>SUN</td><td><a href="papers/833fa04463d90aab4a9fe2870d480f0b40df446e.html" target="_blank">SUN attribute database: Discovering, annotating, and recognizing scene attributes</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Brown University</td><td>United States</td><td>41.82686820</td><td>-71.40123146</td><td>58%</td><td>264</td><td>154</td><td>110</td><td>27</td><td>206</td><td>56</td></tr><tr><td>4308bd8c28e37e2ed9a3fcfe74d5436cce34b410</td><td>market_1501</td><td>Market 1501</td><td><a href="papers/4308bd8c28e37e2ed9a3fcfe74d5436cce34b410.html" target="_blank">Scalable Person Re-identification: A Benchmark</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>460</td><td>257</td><td>203</td><td>16</td><td>263</td><td>185</td></tr><tr><td>9c23859ec7313f2e756a3e85575735e0c52249f4</td><td>facebook_100</td><td>Facebook100</td><td><a href="papers/9c23859ec7313f2e756a3e85575735e0c52249f4.html" target="_blank">Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td>edu</td><td>Harvard University</td><td>United States</td><td>42.36782045</td><td>-71.12666653</td><td>52%</td><td>52</td><td>27</td><td>25</td><td>3</td><td>38</td><td>13</td></tr><tr><td>9c23859ec7313f2e756a3e85575735e0c52249f4</td><td>pubfig_83</td><td>pubfig83</td><td><a href="papers/9c23859ec7313f2e756a3e85575735e0c52249f4.html" target="_blank">Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011 WORKSHOPS</td><td>edu</td><td>Harvard University</td><td>United States</td><td>42.36782045</td><td>-71.12666653</td><td>52%</td><td>52</td><td>27</td><td>25</td><td>3</td><td>38</td><td>13</td></tr><tr><td>51eba481dac6b229a7490f650dff7b17ce05df73</td><td>imsitu</td><td>imSitu</td><td><a href="papers/51eba481dac6b229a7490f650dff7b17ce05df73.html" target="_blank">Situation Recognition: Visual Semantic Role Labeling for Image Understanding</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>62%</td><td>52</td><td>32</td><td>20</td><td>1</td><td>46</td><td>6</td></tr><tr><td>570f37ed63142312e6ccdf00ecc376341ec72b9f</td><td>stanford_drone</td><td>Stanford Drone</td><td><a href="papers/570f37ed63142312e6ccdf00ecc376341ec72b9f.html" target="_blank">Social LSTM: Human Trajectory Prediction in Crowded Spaces</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>224</td><td>110</td><td>114</td><td>3</td><td>140</td><td>81</td></tr><tr><td>23e824d1dfc33f3780dd18076284f07bd99f1c43</td><td>mifs</td><td>MIFS</td><td><a href="papers/23e824d1dfc33f3780dd18076284f07bd99f1c43.html" target="_blank">Spoofing faces using makeup: An investigative study</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)</td><td>edu</td><td>INRIA Méditerranée</td><td>France</td><td>43.61581310</td><td>7.06838000</td><td>67%</td><td>6</td><td>4</td><td>2</td><td>0</td><td>1</td><td>5</td></tr><tr><td>1a40092b493c6b8840257ab7f96051d1a4dbfeb2</td><td>sports_videos_in_the_wild</td><td>SVW</td><td><a href="papers/1a40092b493c6b8840257ab7f96051d1a4dbfeb2.html" target="_blank">Sports Videos in the Wild (SVW): A video dataset for sports analysis</a></td><td><span class="gray">[pdf]</a></td><td>2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</td><td></td><td></td><td></td><td></td><td></td><td>86%</td><td>7</td><td>6</td><td>1</td><td>1</td><td>5</td><td>2</td></tr><tr><td>9361b784e73e9238d5cefbea5ac40d35d1e3103f</td><td>town_centre</td><td>TownCentre</td><td><a href="papers/9361b784e73e9238d5cefbea5ac40d35d1e3103f.html" target="_blank">Stable multi-target tracking in real-time surveillance video</a></td><td><span class="gray">[pdf]</a></td><td>CVPR 2011</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>328</td><td>153</td><td>175</td><td>24</td><td>186</td><td>140</td></tr><tr><td>2306b2a8fba28539306052764a77a0d0f5d1236a</td><td>qmul_surv_face</td><td>QMUL-SurvFace</td><td><a href="papers/2306b2a8fba28539306052764a77a0d0f5d1236a.html" target="_blank">Surveillance Face Recognition Challenge</a></td><td><a href="https://arxiv.org/pdf/1804.09691.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td>edu</td><td>Queen Mary University of London</td><td>United Kingdom</td><td>51.52472720</td><td>-0.03931035</td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><td>f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f</td><td>pku_reid</td><td>PKU-Reid</td><td><a href="papers/f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f.html" target="_blank">Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification</a></td><td><a href="https://pdfs.semanticscholar.org/f6c8/d5e35d7e4d60a0104f233ac1a3ab757da53f.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>4</td><td>2</td><td>2</td><td>0</td><td>1</td><td>2</td></tr><tr><td>4d58f886f5150b2d5e48fd1b5a49e09799bf895d</td><td>texas_3dfrd</td><td>Texas 3DFRD</td><td><a href="papers/4d58f886f5150b2d5e48fd1b5a49e09799bf895d.html" target="_blank">Texas 3D Face Recognition Database</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>66</td><td>29</td><td>37</td><td>3</td><td>40</td><td>27</td></tr><tr><td>6d96f946aaabc734af7fe3fc4454cf8547fcd5ed</td><td>ar_facedb</td><td>AR Face</td><td><a href="papers/6d96f946aaabc734af7fe3fc4454cf8547fcd5ed.html" target="_blank">The AR face database</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>999</td><td>519</td><td>480</td><td>56</td><td>455</td><td>530</td></tr><tr><td>2485c98aa44131d1a2f7d1355b1e372f2bb148ad</td><td>cas_peal</td><td>CAS-PEAL</td><td><a href="papers/2485c98aa44131d1a2f7d1355b1e372f2bb148ad.html" target="_blank">The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans</td><td></td><td></td><td></td><td></td><td></td><td>51%</td><td>429</td><td>218</td><td>211</td><td>39</td><td>198</td><td>234</td></tr><tr><td>47662d1a368daf70ba70ef2d59eb6209f98b675d</td><td>fia</td><td>CMU FiA</td><td><a href="papers/47662d1a368daf70ba70ef2d59eb6209f98b675d.html" target="_blank">The CMU Face In Action (FIA) Database</a></td><td><a href="https://pdfs.semanticscholar.org/4766/2d1a368daf70ba70ef2d59eb6209f98b675d.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>39%</td><td>54</td><td>21</td><td>33</td><td>5</td><td>40</td><td>16</td></tr><tr><td>4d423acc78273b75134e2afd1777ba6d3a398973</td><td>cmu_pie</td><td>CMU PIE</td><td><a href="papers/4d423acc78273b75134e2afd1777ba6d3a398973.html" target="_blank">The CMU Pose, Illumination, and Expression (PIE) Database</a></td><td><a href="http://www.comp.nus.edu.sg/~tsim/piedb.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>760</td><td>409</td><td>350</td><td>50</td><td>404</td><td>345</td></tr><tr><td>4d423acc78273b75134e2afd1777ba6d3a398973</td><td>multi_pie</td><td>MULTIPIE</td><td><a href="papers/4d423acc78273b75134e2afd1777ba6d3a398973.html" target="_blank">The CMU Pose, Illumination, and Expression (PIE) Database</a></td><td><a href="http://www.comp.nus.edu.sg/~tsim/piedb.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>760</td><td>409</td><td>350</td><td>50</td><td>404</td><td>345</td></tr><tr><td>4df3143922bcdf7db78eb91e6b5359d6ada004d2</td><td>cfd</td><td>CFD</td><td><a href="papers/4df3143922bcdf7db78eb91e6b5359d6ada004d2.html" target="_blank">The Chicago face database: A free stimulus set of faces and norming data.</a></td><td><a href="https://pdfs.semanticscholar.org/4df3/143922bcdf7db78eb91e6b5359d6ada004d2.pdf" target="_blank">[pdf]</a></td><td>Behavior research methods</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>99</td><td>52</td><td>47</td><td>1</td><td>73</td><td>21</td></tr><tr><td>20388099cc415c772926e47bcbbe554e133343d1</td><td>cafe</td><td>#N/A</td><td><a href="papers/20388099cc415c772926e47bcbbe554e133343d1.html" target="_blank">The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults</a></td><td><a href="https://pdfs.semanticscholar.org/2038/8099cc415c772926e47bcbbe554e133343d1.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>37</td><td>17</td><td>20</td><td>3</td><td>30</td><td>7</td></tr><tr><td>4e6ee936eb50dd032f7138702fa39b7c18ee8907</td><td>dartmouth_children</td><td>Dartmouth Children</td><td><a href="papers/4e6ee936eb50dd032f7138702fa39b7c18ee8907.html" target="_blank">The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set</a></td><td><a href="https://pdfs.semanticscholar.org/4e6e/e936eb50dd032f7138702fa39b7c18ee8907.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>38%</td><td>21</td><td>8</td><td>13</td><td>2</td><td>18</td><td>3</td></tr><tr><td>9e31e77f9543ab42474ba4e9330676e18c242e72</td><td>imdb_face</td><td>IMDb Face</td><td><a href="papers/9e31e77f9543ab42474ba4e9330676e18c242e72.html" target="_blank">The Devil of Face Recognition is in the Noise</a></td><td><a href="https://arxiv.org/pdf/1807.11649.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td>company</td><td>SenseTime</td><td>China</td><td>39.99300800</td><td>116.32988200</td><td>17%</td><td>6</td><td>1</td><td>5</td><td>0</td><td>4</td><td>1</td></tr><tr><td>71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6</td><td>umd_faces</td><td>UMD</td><td><a href="papers/71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6.html" target="_blank">The Do’s and Don’ts for CNN-Based Face Verification</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision Workshops (ICCVW)</td><td></td><td></td><td></td><td></td><td></td><td>38%</td><td>26</td><td>10</td><td>16</td><td>3</td><td>16</td><td>8</td></tr><tr><td>72a155c987816ae81c858fddbd6beab656d86220</td><td>europersons</td><td>EuroCity Persons</td><td><a href="papers/72a155c987816ae81c858fddbd6beab656d86220.html" target="_blank">The EuroCity Persons Dataset: A Novel Benchmark for Object Detection</a></td><td><a href="https://arxiv.org/pdf/1805.07193.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>0%</td><td>2</td><td>0</td><td>2</td><td>0</td><td>2</td><td>0</td></tr><tr><td>4d9a02d080636e9666c4d1cc438b9893391ec6c7</td><td>cohn_kanade_plus</td><td>CK+</td><td><a href="papers/4d9a02d080636e9666c4d1cc438b9893391ec6c7.html" target="_blank">The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression</a></td><td><span class="gray">[pdf]</a></td><td>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops</td><td>edu</td><td>University of Pittsburgh</td><td>United States</td><td>40.44415295</td><td>-79.96243993</td><td>54%</td><td>999</td><td>543</td><td>456</td><td>58</td><td>470</td><td>518</td></tr><tr><td>0f0fcf041559703998abf310e56f8a2f90ee6f21</td><td>feret</td><td>FERET</td><td><a href="papers/0f0fcf041559703998abf310e56f8a2f90ee6f21.html" target="_blank">The FERET Evaluation Methodology for Face-Recognition Algorithms</a></td><td><a href="https://pdfs.semanticscholar.org/5099/7a5605c1f61e09e9a96789ed7495be6625aa.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>28%</td><td>29</td><td>8</td><td>21</td><td>3</td><td>18</td><td>9</td></tr><tr><td>0c4a139bb87c6743c7905b29a3cfec27a5130652</td><td>feret</td><td>FERET</td><td><a href="papers/0c4a139bb87c6743c7905b29a3cfec27a5130652.html" target="_blank">The FERET Verification Testing Protocol for Face Recognition Algorithms</a></td><td><a href="https://pdfs.semanticscholar.org/8d2a/1c768fce6f71584dd993fb97e7b6419aaf60.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>115</td><td>49</td><td>66</td><td>8</td><td>75</td><td>37</td></tr><tr><td>dc8b25e35a3acb812beb499844734081722319b4</td><td>feret</td><td>FERET</td><td><a href="papers/dc8b25e35a3acb812beb499844734081722319b4.html" target="_blank">The FERET database and evaluation procedure for face-recognition algorithms</a></td><td><a href="http://biometrics.nist.gov/cs_links/face/frvt/feret/FERET_Database_evaluation_procedure.pdf" target="_blank">[pdf]</a></td><td>Image Vision Comput.</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>999</td><td>455</td><td>544</td><td>103</td><td>590</td><td>421</td></tr><tr><td>8f02ec0be21461fbcedf51d864f944cfc42c875f</td><td>hda_plus</td><td>HDA+</td><td><a href="papers/8f02ec0be21461fbcedf51d864f944cfc42c875f.html" target="_blank">The HDA+ Data Set for Research on Fully Automated Re-identification Systems</a></td><td><a href="https://pdfs.semanticscholar.org/8f02/ec0be21461fbcedf51d864f944cfc42c875f.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>31%</td><td>16</td><td>5</td><td>11</td><td>2</td><td>10</td><td>6</td></tr><tr><td>8be57cdad86fdf8c8290df4ca3149592f3c46dd3</td><td>m2vts</td><td>m2vts</td><td><a href="papers/8be57cdad86fdf8c8290df4ca3149592f3c46dd3.html" target="_blank">The M2VTS Multimodal Face Database (Release 1.00)</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>44%</td><td>73</td><td>32</td><td>41</td><td>2</td><td>39</td><td>33</td></tr><tr><td>ea050801199f98a1c7c1df6769f23f658299a3ae</td><td>mpi_large</td><td>Large MPI Facial Expression</td><td><a href="papers/ea050801199f98a1c7c1df6769f23f658299a3ae.html" target="_blank">The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions</a></td><td><a href="https://pdfs.semanticscholar.org/ea05/0801199f98a1c7c1df6769f23f658299a3ae.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>33</td><td>15</td><td>18</td><td>4</td><td>29</td><td>4</td></tr><tr><td>ea050801199f98a1c7c1df6769f23f658299a3ae</td><td>mpi_small</td><td>Small MPI Facial Expression</td><td><a href="papers/ea050801199f98a1c7c1df6769f23f658299a3ae.html" target="_blank">The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions</a></td><td><a href="https://pdfs.semanticscholar.org/ea05/0801199f98a1c7c1df6769f23f658299a3ae.pdf" target="_blank">[pdf]</a></td><td></td><td></td><td></td><td></td><td></td><td></td><td>45%</td><td>33</td><td>15</td><td>18</td><td>4</td><td>29</td><td>4</td></tr><tr><td>578d4ad74818086bb64f182f72e2c8bd31e3d426</td><td>mr2</td><td>MR2</td><td><a href="papers/578d4ad74818086bb64f182f72e2c8bd31e3d426.html" target="_blank">The MR2: A multi-racial, mega-resolution database of facial stimuli.</a></td><td><a href="http://www.mpmlab.org/The%20MR2%20face%20database.pdf" target="_blank">[pdf]</a></td><td>Behavior research methods</td><td></td><td></td><td></td><td></td><td></td><td>14%</td><td>7</td><td>1</td><td>6</td><td>0</td><td>7</td><td>0</td></tr><tr><td>f1af714b92372c8e606485a3982eab2f16772ad8</td><td>mug_faces</td><td>MUG Faces</td><td><a href="papers/f1af714b92372c8e606485a3982eab2f16772ad8.html" target="_blank">The MUG facial expression database</a></td><td><span class="gray">[pdf]</a></td><td>11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10</td><td>edu</td><td>Aristotle University of Thessaloniki</td><td>Greece</td><td>40.62984145</td><td>22.95889350</td><td>41%</td><td>82</td><td>34</td><td>48</td><td>5</td><td>34</td><td>47</td></tr><tr><td>79828e6e9f137a583082b8b5a9dfce0c301989b8</td><td>mapillary</td><td>Mapillary</td><td><a href="papers/79828e6e9f137a583082b8b5a9dfce0c301989b8.html" target="_blank">The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>46%</td><td>61</td><td>28</td><td>33</td><td>0</td><td>43</td><td>16</td></tr><tr><td>96e0cfcd81cdeb8282e29ef9ec9962b125f379b0</td><td>megaface</td><td>MegaFace</td><td><a href="papers/96e0cfcd81cdeb8282e29ef9ec9962b125f379b0.html" target="_blank">The MegaFace Benchmark: 1 Million Faces for Recognition at Scale</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>139</td><td>74</td><td>65</td><td>9</td><td>100</td><td>37</td></tr><tr><td>0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a</td><td>voc</td><td>VOC</td><td><a href="papers/0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a.html" target="_blank">The Pascal Visual Object Classes (VOC) Challenge</a></td><td><a href="http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>999</td><td>544</td><td>454</td><td>30</td><td>557</td><td>422</td></tr><tr><td>66e6f08873325d37e0ec20a4769ce881e04e964e</td><td>sun_attributes</td><td>SUN</td><td><a href="papers/66e6f08873325d37e0ec20a4769ce881e04e964e.html" target="_blank">The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding</a></td><td><a href="http://www.cc.gatech.edu/~hays/papers/attribute_ijcv.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>116</td><td>69</td><td>47</td><td>14</td><td>84</td><td>31</td></tr><tr><td>8b2dd5c61b23ead5ae5508bb8ce808b5ea266730</td><td>10k_US_adult_faces</td><td>10K US Adult Faces</td><td><a href="papers/8b2dd5c61b23ead5ae5508bb8ce808b5ea266730.html" target="_blank">The intrinsic memorability of face photographs.</a></td><td><a href="https://pdfs.semanticscholar.org/8b2d/d5c61b23ead5ae5508bb8ce808b5ea266730.pdf" target="_blank">[pdf]</a></td><td>Journal of experimental psychology. General</td><td></td><td></td><td></td><td></td><td></td><td>52%</td><td>52</td><td>27</td><td>25</td><td>2</td><td>36</td><td>14</td></tr><tr><td>d178cde92ab3dc0dd2ebee5a76a33d556c39448b</td><td>jiku_mobile</td><td>Jiku Mobile Video Dataset</td><td><a href="papers/d178cde92ab3dc0dd2ebee5a76a33d556c39448b.html" target="_blank">The jiku mobile video dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>National University of Singapore</td><td>Singapore</td><td>1.29620180</td><td>103.77689944</td><td>71%</td><td>24</td><td>17</td><td>7</td><td>0</td><td>6</td><td>19</td></tr><tr><td>ae0aee03d946efffdc7af2362a42d3750e7dd48a</td><td>put_face</td><td>Put Face</td><td><a href="papers/ae0aee03d946efffdc7af2362a42d3750e7dd48a.html" target="_blank">The put face database</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>99</td><td>43</td><td>56</td><td>7</td><td>54</td><td>48</td></tr><tr><td>19d1b811df60f86cbd5e04a094b07f32fff7a32a</td><td>york_3d</td><td>UOY 3D Face Database</td><td><a href="papers/19d1b811df60f86cbd5e04a094b07f32fff7a32a.html" target="_blank">Three-dimensional face recognition: an eigensurface approach</a></td><td><span class="gray">[pdf]</a></td><td>2004 International Conference on Image Processing, 2004. ICIP '04.</td><td></td><td></td><td></td><td></td><td></td><td>34%</td><td>38</td><td>13</td><td>25</td><td>4</td><td>24</td><td>13</td></tr><tr><td>2edb87494278ad11641b6cf7a3f8996de12b8e14</td><td>qmul_grid</td><td>GRID</td><td><a href="papers/2edb87494278ad11641b6cf7a3f8996de12b8e14.html" target="_blank">Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding</a></td><td><a href="http://www.eecs.qmul.ac.uk/~ccloy/files/ijcv_2010.pdf" target="_blank">[pdf]</a></td><td>International Journal of Computer Vision</td><td>edu</td><td>Queen Mary University of London</td><td>United Kingdom</td><td>51.52472720</td><td>-0.03931035</td><td>52%</td><td>84</td><td>44</td><td>40</td><td>6</td><td>51</td><td>33</td></tr><tr><td>64e0690dd176a93de9d4328f6e31fc4afe1e7536</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/64e0690dd176a93de9d4328f6e31fc4afe1e7536.html" target="_blank">Tracking Multiple People Online and in Real Time</a></td><td><a href="https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>43%</td><td>23</td><td>10</td><td>13</td><td>2</td><td>12</td><td>10</td></tr><tr><td>298cbc3dfbbb3a20af4eed97906650a4ea1c29e0</td><td>ferplus</td><td>FER+</td><td><a href="papers/298cbc3dfbbb3a20af4eed97906650a4ea1c29e0.html" target="_blank">Training deep networks for facial expression recognition with crowd-sourced label distribution</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>71%</td><td>34</td><td>24</td><td>10</td><td>0</td><td>18</td><td>16</td></tr><tr><td>4eab317b5ac436a949849ed286baa3de2a541eef</td><td>laofiw</td><td>LAOFIW</td><td><a href="papers/4eab317b5ac436a949849ed286baa3de2a541eef.html" target="_blank">Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings</a></td><td><a href="https://arxiv.org/pdf/1809.02169.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>2</td><td>1</td><td>1</td><td>0</td><td>2</td><td>0</td></tr><tr><td>b5f2846a506fc417e7da43f6a7679146d99c5e96</td><td>ucf_101</td><td>UCF101</td><td><a href="papers/b5f2846a506fc417e7da43f6a7679146d99c5e96.html" target="_blank">UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild</a></td><td><a href="https://arxiv.org/pdf/1212.0402.pdf" target="_blank">[pdf]</a></td><td>CoRR</td><td></td><td></td><td></td><td></td><td></td><td>61%</td><td>999</td><td>607</td><td>392</td><td>56</td><td>628</td><td>362</td></tr><tr><td>16e8b0a1e8451d5f697b94c0c2b32a00abee1d52</td><td>umb</td><td>UMB</td><td><a href="papers/16e8b0a1e8451d5f697b94c0c2b32a00abee1d52.html" target="_blank">UMB-DB: A database of partially occluded 3D faces</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td></td><td></td><td></td><td></td><td></td><td>62%</td><td>47</td><td>29</td><td>18</td><td>2</td><td>22</td><td>24</td></tr><tr><td>31b05f65405534a696a847dd19c621b7b8588263</td><td>umd_faces</td><td>UMD</td><td><a href="papers/31b05f65405534a696a847dd19c621b7b8588263.html" target="_blank">UMDFaces: An annotated face dataset for training deep networks</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Joint Conference on Biometrics (IJCB)</td><td></td><td></td><td></td><td></td><td></td><td>50%</td><td>42</td><td>21</td><td>21</td><td>5</td><td>30</td><td>11</td></tr><tr><td>8627f019882b024aef92e4eb9355c499c733e5b7</td><td>used</td><td>USED Social Event Dataset</td><td><a href="papers/8627f019882b024aef92e4eb9355c499c733e5b7.html" target="_blank">USED: a large-scale social event detection dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>University of Trento</td><td>Italy</td><td>46.06588360</td><td>11.11598940</td><td>71%</td><td>7</td><td>5</td><td>2</td><td>0</td><td>3</td><td>4</td></tr><tr><td>d4f1eb008eb80595bcfdac368e23ae9754e1e745</td><td>uccs</td><td>UCCS</td><td><a href="papers/d4f1eb008eb80595bcfdac368e23ae9754e1e745.html" target="_blank">Unconstrained Face Detection and Open-Set Face Recognition Challenge</a></td><td><span class="gray">[pdf]</a></td><td>2017 IEEE International Joint Conference on Biometrics (IJCB)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>5</td><td>5</td><td>0</td><td>0</td><td>4</td><td>1</td></tr><tr><td>4b4106614c1d553365bad75d7866bff0de6056ed</td><td>ufi</td><td>UFI</td><td><a href="papers/4b4106614c1d553365bad75d7866bff0de6056ed.html" target="_blank">Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions</a></td><td><a href="http://home.zcu.cz/~pkral/papers/kral_micai15.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>33%</td><td>12</td><td>4</td><td>8</td><td>0</td><td>4</td><td>6</td></tr><tr><td>08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7</td><td>kin_face</td><td>UB KinFace</td><td><a href="papers/08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7.html" target="_blank">Understanding Kin Relationships in a Photo</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Multimedia</td><td></td><td></td><td></td><td></td><td></td><td>59%</td><td>94</td><td>55</td><td>39</td><td>1</td><td>33</td><td>61</td></tr><tr><td>5a4df9bef1872865f0b619ac3aacc97f49e4a035</td><td>cuhk_train_station</td><td>CUHK Train Station Dataset</td><td><a href="papers/5a4df9bef1872865f0b619ac3aacc97f49e4a035.html" target="_blank">Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Chinese University of Hong Kong</td><td>China</td><td>22.41626320</td><td>114.21093180</td><td>52%</td><td>141</td><td>73</td><td>68</td><td>6</td><td>60</td><td>75</td></tr><tr><td>21d9d0deed16f0ad62a4865e9acf0686f4f15492</td><td>images_of_groups</td><td>Images of Groups</td><td><a href="papers/21d9d0deed16f0ad62a4865e9acf0686f4f15492.html" target="_blank">Understanding images of groups of people</a></td><td><span class="gray">[pdf]</a></td><td>2009 IEEE Conference on Computer Vision and Pattern Recognition</td><td>edu</td><td>Carnegie Mellon University Silicon Valley</td><td>United States</td><td>37.41021930</td><td>-122.05965487</td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>15e1af79939dbf90790b03d8aa02477783fb1d0f</td><td>duke_mtmc</td><td>Duke MTMC</td><td><a href="papers/15e1af79939dbf90790b03d8aa02477783fb1d0f.html" target="_blank">Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro</a></td><td><a href="https://arxiv.org/pdf/1701.07717.pdf" target="_blank">[pdf]</a></td><td>2017 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>fd8168f1c50de85bac58a8d328df0a50248b16ae</td><td>nd_2006</td><td>ND-2006</td><td><a href="papers/fd8168f1c50de85bac58a8d328df0a50248b16ae.html" target="_blank">Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition</a></td><td><span class="gray">[pdf]</a></td><td>2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems</td><td>edu</td><td>University of Notre Dame</td><td>United States</td><td>41.70456775</td><td>-86.23822026</td><td>60%</td><td>35</td><td>21</td><td>14</td><td>3</td><td>18</td><td>15</td></tr><tr><td>4563b46d42079242f06567b3f2e2f7a80cb3befe</td><td>vadana</td><td>VADANA</td><td><a href="papers/4563b46d42079242f06567b3f2e2f7a80cb3befe.html" target="_blank">VADANA: A dense dataset for facial image analysis</a></td><td><span class="gray">[pdf]</a></td><td>2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)</td><td>edu</td><td>University of Delaware</td><td>United States</td><td>39.68103280</td><td>-75.75401840</td><td>47%</td><td>15</td><td>7</td><td>8</td><td>0</td><td>5</td><td>10</td></tr><tr><td>70c59dc3470ae867016f6ab0e008ac8ba03774a1</td><td>vgg_faces2</td><td>VGG Face2</td><td><a href="papers/70c59dc3470ae867016f6ab0e008ac8ba03774a1.html" target="_blank">VGGFace2: A Dataset for Recognising Faces across Pose and Age</a></td><td><a href="https://arxiv.org/pdf/1710.08092.pdf" target="_blank">[pdf]</a></td><td>2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>83</td><td>41</td><td>42</td><td>6</td><td>61</td><td>20</td></tr><tr><td>01959ef569f74c286956024866c1d107099199f7</td><td>vqa</td><td>VQA</td><td><a href="papers/01959ef569f74c286956024866c1d107099199f7.html" target="_blank">VQA: Visual Question Answering</a></td><td><span class="gray">[pdf]</a></td><td>2015 IEEE International Conference on Computer Vision (ICCV)</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>b6c293f0420f7e945b5916ae44269fb53e139275</td><td>erce</td><td>ERCe</td><td><a href="papers/b6c293f0420f7e945b5916ae44269fb53e139275.html" target="_blank">Video Synopsis by Heterogeneous Multi-source Correlation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>29</td><td>16</td><td>13</td><td>2</td><td>14</td><td>13</td></tr><tr><td>b6c293f0420f7e945b5916ae44269fb53e139275</td><td>tisi</td><td>Times Square Intersection</td><td><a href="papers/b6c293f0420f7e945b5916ae44269fb53e139275.html" target="_blank">Video Synopsis by Heterogeneous Multi-source Correlation</a></td><td><span class="gray">[pdf]</a></td><td>2013 IEEE International Conference on Computer Vision</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>29</td><td>16</td><td>13</td><td>2</td><td>14</td><td>13</td></tr><tr><td>5194cbd51f9769ab25260446b4fa17204752e799</td><td>violent_flows</td><td>Violent Flows</td><td><a href="papers/5194cbd51f9769ab25260446b4fa17204752e799.html" target="_blank">Violent flows: Real-time detection of violent crowd behavior</a></td><td><span class="gray">[pdf]</a></td><td>2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops</td><td>edu</td><td>Open University of Israel</td><td>Israel</td><td>32.77824165</td><td>34.99565673</td><td>55%</td><td>88</td><td>48</td><td>40</td><td>6</td><td>45</td><td>44</td></tr><tr><td>026e3363b7f76b51cc711886597a44d5f1fd1de2</td><td>kitti</td><td>KITTI</td><td><a href="papers/026e3363b7f76b51cc711886597a44d5f1fd1de2.html" target="_blank">Vision meets robotics: The KITTI dataset</a></td><td><a href="https://pdfs.semanticscholar.org/026e/3363b7f76b51cc711886597a44d5f1fd1de2.pdf" target="_blank">[pdf]</a></td><td>I. J. Robotics Res.</td><td></td><td></td><td></td><td></td><td></td><td>55%</td><td>999</td><td>547</td><td>452</td><td>37</td><td>553</td><td>462</td></tr><tr><td>066000d44d6691d27202896691f08b27117918b9</td><td>psu</td><td>PSU</td><td><a href="papers/066000d44d6691d27202896691f08b27117918b9.html" target="_blank">Vision-Based Analysis of Small Groups in Pedestrian Crowds</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td></td><td></td><td></td><td></td><td></td><td>49%</td><td>168</td><td>83</td><td>85</td><td>11</td><td>85</td><td>79</td></tr><tr><td>dd65f71dac86e36eecbd3ed225d016c3336b4a13</td><td>families_in_the_wild</td><td>FIW</td><td><a href="papers/dd65f71dac86e36eecbd3ed225d016c3336b4a13.html" target="_blank">Visual Kinship Recognition of Families in the Wild</a></td><td><span class="gray">[pdf]</a></td><td>IEEE Transactions on Pattern Analysis and Machine Intelligence</td><td>edu</td><td>University of Massachusetts Dartmouth</td><td>United States</td><td>41.62772475</td><td>-71.00724501</td><td>80%</td><td>5</td><td>4</td><td>1</td><td>0</td><td>2</td><td>3</td></tr><tr><td>52d7eb0fbc3522434c13cc247549f74bb9609c5d</td><td>wider_face</td><td>WIDER FACE</td><td><a href="papers/52d7eb0fbc3522434c13cc247549f74bb9609c5d.html" target="_blank">WIDER FACE: A Face Detection Benchmark</a></td><td><span class="gray">[pdf]</a></td><td>2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</td><td>edu</td><td>Chinese University of Hong Kong</td><td>China</td><td>22.41626320</td><td>114.21093180</td><td>58%</td><td>178</td><td>104</td><td>74</td><td>13</td><td>112</td><td>66</td></tr><tr><td>36bccfb2ad847096bc76777e544f305813cd8f5b</td><td>wildtrack</td><td>WildTrack</td><td><a href="papers/36bccfb2ad847096bc76777e544f305813cd8f5b.html" target="_blank">WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection</a></td><td><a href="http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1562-supp.pdf" target="_blank">[pdf]</a></td><td>2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>5ad4e9f947c1653c247d418f05dad758a3f9277b</td><td>wlfdb</td><td>WLFDB</td><td><a href="papers/5ad4e9f947c1653c247d418f05dad758a3f9277b.html" target="_blank">WLFDB : Weakly Labeled Face Databases</a></td><td><a href="https://pdfs.semanticscholar.org/5ad4/e9f947c1653c247d418f05dad758a3f9277b.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>100%</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td></tr><tr><td>0dc11a37cadda92886c56a6fb5191ded62099c28</td><td>stickmen_family</td><td>We Are Family Stickmen</td><td><a href="papers/0dc11a37cadda92886c56a6fb5191ded62099c28.html" target="_blank">We Are Family: Joint Pose Estimation of Multiple Persons</a></td><td><a href="http://eprints.pascal-network.org/archive/00007964/01/eichner10eccv.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>58%</td><td>78</td><td>45</td><td>33</td><td>6</td><td>54</td><td>23</td></tr><tr><td>0c91808994a250d7be332400a534a9291ca3b60e</td><td>graz</td><td>Graz Pedestrian</td><td><a href="papers/0c91808994a250d7be332400a534a9291ca3b60e.html" target="_blank">Weak Hypotheses and Boosting for Generic Object Detection and Recognition</a></td><td><a href="https://pdfs.semanticscholar.org/0c91/808994a250d7be332400a534a9291ca3b60e.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>236</td><td>127</td><td>109</td><td>17</td><td>161</td><td>77</td></tr><tr><td>2a75f34663a60ab1b04a0049ed1d14335129e908</td><td>mmi_facial_expression</td><td>MMI Facial Expression Dataset</td><td><a href="papers/2a75f34663a60ab1b04a0049ed1d14335129e908.html" target="_blank">Web-based database for facial expression analysis</a></td><td><span class="gray">[pdf]</a></td><td>2005 IEEE International Conference on Multimedia and Expo</td><td></td><td></td><td></td><td></td><td></td><td>47%</td><td>464</td><td>217</td><td>247</td><td>45</td><td>282</td><td>188</td></tr><tr><td>9b9bf5e623cb8af7407d2d2d857bc3f1b531c182</td><td>who_goes_there</td><td>WGT</td><td><a href="papers/9b9bf5e623cb8af7407d2d2d857bc3f1b531c182.html" target="_blank">Who goes there?: approaches to mapping facial appearance diversity</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td>edu</td><td>University of Kentucky</td><td>United States</td><td>38.03337420</td><td>-84.50177580</td><td>100%</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>b62628ac06bbac998a3ab825324a41a11bc3a988</td><td>m2vtsdb_extended</td><td>xm2vtsdb</td><td><a href="papers/b62628ac06bbac998a3ab825324a41a11bc3a988.html" target="_blank">XM2VTSDB : The extended M2VTS database</a></td><td><a href="https://pdfs.semanticscholar.org/b626/28ac06bbac998a3ab825324a41a11bc3a988.pdf" target="_blank">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>54%</td><td>864</td><td>463</td><td>401</td><td>40</td><td>493</td><td>404</td></tr><tr><td>010f0f4929e6a6644fb01f0e43820f91d0fad292</td><td>yfcc_100m</td><td>YFCC100M</td><td><a href="papers/010f0f4929e6a6644fb01f0e43820f91d0fad292.html" target="_blank">YFCC100M: the new data in multimedia research</a></td><td><span class="gray">[pdf]</a></td><td>Commun. ACM</td><td></td><td></td><td></td><td></td><td></td><td>56%</td><td>274</td><td>154</td><td>120</td><td>24</td><td>172</td><td>100</td></tr><tr><td>a94cae786d515d3450d48267e12ca954aab791c4</td><td>yawdd</td><td>YawDD</td><td><a href="papers/a94cae786d515d3450d48267e12ca954aab791c4.html" target="_blank">YawDD: a yawning detection dataset</a></td><td><span class="gray">[pdf]</a></td><td>Unknown</td><td></td><td></td><td></td><td></td><td></td><td>53%</td><td>15</td><td>8</td><td>7</td><td>1</td><td>2</td><td>13</td></tr></table></body></html>
\ No newline at end of file diff --git a/scraper/s2-final-report.py b/scraper/s2-final-report.py index c9ec6423..6325430b 100644 --- a/scraper/s2-final-report.py +++ b/scraper/s2-final-report.py @@ -99,7 +99,7 @@ def process_paper(row, verified_lookup): 'year': paper['year'], }, 'address': address_list[0] if len(address_list) else {}, - 'citations': [aggregate_citations[key] for key in verified_lookup.keys()], + 'citations': [aggregate_citations[key] for key in verified_lookup.keys() if key in aggregate_citations], }, f) def process_single_paper(row, paper_id, addresses, aggregate_citations, unknown_citations): diff --git a/site/datasets/citations/cuhk_campus_03.json b/site/datasets/citations/cuhk_campus_03.json index 22bb17e3..edd2446e 100644 --- a/site/datasets/citations/cuhk_campus_03.json +++ b/site/datasets/citations/cuhk_campus_03.json @@ -1 +1 @@ -{"id": "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "paper": {"key": "cuhk_campus_03", "name": "CUHK03 Campus", "title": "Human Reidentification with Transferred Metric Learning", "year": "2012"}, "address": {}, "citations": [{"id": "359c2483195a3217095dcf8738abe47181a0fc94", "title": "Person Reidentification via Discrepancy Matrix and Matrix Metric", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://wangzwhu.github.io/home/slides-nj-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8059849", "http://doi.org/10.1109/TCYB.2017.2755044", "https://www.ncbi.nlm.nih.gov/pubmed/28991756"]}, {"id": "79931447522097044cbc89e4bc2f69dd6e8f0e58", "title": "Person Re-identification by Multi-hypergraph Fusion", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7560601", "http://doi.org/10.1109/TNNLS.2016.2602082", "https://www.ncbi.nlm.nih.gov/pubmed/28113383"]}, {"id": "e9e04b36f88199a492db6ce7ffdb4e76dc7cc966", "title": "An Enhanced Deep Convolutional Neural Network for Person Re-Identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing", "source_name": "Academy of Broadcasting Science, Beijing", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551570"]}, {"id": "3fd7bfd90f0dfc3369bfe718e27aff30cf268c23", "title": "Learning Mid-level Filters for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Learning_Mid-level_Filters_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhaoOWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909420", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.26", "http://doi.org/10.1109/CVPR.2014.26"]}, {"id": "808ed09fc6d56aa221e95e82d3ed37a9cce1da88", "title": "Datum-Adaptive Local Metric Learning for Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001603", "http://doi.org/10.1109/LSP.2014.2387847"]}, {"id": "b15cfd1e2f46a943328fa32fe0a571b8f7073b9f", "title": "Person Re-Identification by Deep Learning Muti-Part Information Complementary", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451645", "http://doi.org/10.1109/ICIP.2018.8451645"]}, {"id": "b33bbdac96c3540ebb07c3655643e6badc368c59", "title": "MultiMedia Modeling", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Shanghai Jitotong University", "source_name": "Shanghai Jitotong University, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "University of Newcastle", "source_name": "University of Newcastle", "street_adddress": "University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia", "lat": "-33.35788990", "lng": "151.37834708", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-14442-9"]}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "ac5c5be6234c459fedea5d66fd34e916e4730949", "title": "Body structure based triplet Convolutional Neural Network for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001772.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952461", "http://doi.org/10.1109/ICASSP.2017.7952461"]}, {"id": "754ee07789f6ff28fc121bb9f771895e971ac28c", "title": "Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01719.pdf"], "doi": []}, {"id": "b58f3fb5bd3e36990a7c6a2f8cbb67edeb2ae764", "title": "Person Re-Identification by Optimally Organizing Multiple Similarity Measures", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}, {"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107485", "http://doi.org/10.1109/ACCESS.2017.2771138"]}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "454f403857e487d6a885180e0e0f7216a342fb0e", "title": "Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/454f/403857e487d6a885180e0e0f7216a342fb0e.pdf"], "doi": []}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "d1ba33106567c880bf99daba2bd31fe88df4ecba", "title": "Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03160.pdf"], "doi": []}, {"id": "85cbeac58cb0a6010836ddd8b2d093eabd31767c", "title": "Distance Aggregation based Score Fusion for improving person re-identification", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943446", "http://doi.org/10.1109/THS.2017.7943446"]}, {"id": "76e48cd3b4b25cdb6c094ff660ed8e43be1e2f34", "title": "What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07074.pdf"], "doi": []}, {"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "15d99a8ebf09304916a082a4effdb215ff0a54f0", "title": "Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451494", "http://doi.org/10.1109/ICIP.2018.8451494"]}, {"id": "aa8447c65f93670820124e0a99a2b5e3536700be", "title": "Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489698", "http://doi.org/10.1109/IJCNN.2018.8489698"]}, {"id": "4770f73bc3ad0097fc8cdff3a3f8feaed1060595", "title": "Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric Learning", "addresses": [{"name": "University of Technology, Australia", "source_name": "Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6838984", "http://doi.org/10.1109/TIP.2014.2331755", "https://www.ncbi.nlm.nih.gov/pubmed/24956368", "https://www.wikidata.org/entity/Q46605898"]}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "00a6d711f2bf7974384d2f4b5e61d0bbc493a6b7", "title": "Adaptive Margin Nearest Neighbor for Person Re-Identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Collaborative Innovation Center of Geospatial Technology, Wuhan, China", "source_name": "Collaborative Innovation Center of Geospatial Technology, Wuhan, China", "street_adddress": "Yinghua Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China", "lat": "30.44986200", "lng": "114.26988700", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/00a6/d711f2bf7974384d2f4b5e61d0bbc493a6b7.pdf"], "doi": []}, {"id": "16a61b9b213cf5d9020a3cfdf3c1575b1fac8c07", "title": "Dense invariant feature based support vector ranking for person re-identification", "addresses": [{"name": "Anhui University, Hefei, China", "source_name": "Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University Hefei 230039, China", "street_adddress": "327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.85562500", "lng": "117.27557000", "type": "gov", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418284", "http://doi.org/10.1109/GlobalSIP.2015.7418284"]}, {"id": "f2843da00dc202eb8748b1b690f7b5dd0849af20", "title": "Regularized Bayesian Metric Learning for Person Re-identification", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f284/3da00dc202eb8748b1b690f7b5dd0849af20.pdf"], "doi": []}, {"id": "ad01687649d95cd5b56d7399a9603c4b8e2217d7", "title": "Investigating Open-World Person Re-identification Using a Drone", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ad01/687649d95cd5b56d7399a9603c4b8e2217d7.pdf"], "doi": []}, {"id": "9785429538389146c8061ec856e74e957a246f2d", "title": "DARI: distance metric and representation integration for person verification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04377.pdf"], "doi": []}, {"id": "76977a8e7afd645e83d3e5aaca47a44922188d47", "title": "Reference-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_avss.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/Reference-Based%20Person%20Re-Identification13.pdf", "http://www.ee.ucr.edu/~lan/papers/AVSS13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636647", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636647", "http://doi.org/10.1109/AVSS.2013.6636647"]}, {"id": "37d7cb06c0a1e632dedcc1f23db22cbdc130e6aa", "title": "Pyramid Person Matching Network for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1803.02547.pdf"], "doi": []}, {"id": "3c975c6af75d62336b6d90d2c920f82021726f68", "title": "A verify-correct approach to person re-identification based on Partial Least Squares signatures", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2015", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2015/06/paper_2015_ICB_Prado.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139088", "http://doi.org/10.1109/ICB.2015.7139088"]}, {"id": "38b55d95189c5e69cf4ab45098a48fba407609b4", "title": "Locally Aligned Feature Transforms across Views", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619305"]}, {"id": "1b93698c1784db4abf72b500e51d4806e6430522", "title": "Re-id: Hunting Attributes in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1b93/698c1784db4abf72b500e51d4806e6430522.pdf"], "doi": []}, {"id": "0994b8a23880be0b28c0c4b214b6d4ae91d1182f", "title": "Bi-directional superpixel earth mover's distance for training free person re-identification", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8096040", "http://doi.org/10.1109/ICDSP.2017.8096040"]}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "712590793270e2f115fbd8891314a413047fccc3", "title": "Late Fusion in Part-based Person Re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3056640"]}, {"id": "974b9f0af3af675c092b96e7ac68e391cffdcf49", "title": "Person Re-identification Using Data-Driven Metric Adaptation", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/974b/9f0af3af675c092b96e7ac68e391cffdcf49.pdf"], "doi": []}, {"id": "498af0c92b41f02ae328857020bc5e01df59c252", "title": "Contextual Similarity Regularized Metric Learning for person re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899937", "http://doi.org/10.1109/ICPR.2016.7899937"]}, {"id": "6782b148bd2de66cd73f3d69f481d40cce866fff", "title": "Robust relationship learning to illumination in a camera network", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8330588"]}, {"id": "e74cc004dc22ac30ddb77b6750aa326bbd41082f", "title": "Person re-identification based on deep multi-instance learning", "addresses": [{"name": "MTA SZTAKI Institute for Computer Science and Control", "source_name": "MTA SZTAKI Institute for Computer Science and Control", "street_adddress": "Budapest, Kende u. 13, 1111 Hungary", "lat": "47.47828280", "lng": "19.05210750", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081471"]}, {"id": "0843ec2b76ef9401e60654fbfe71bac44ed19fae", "title": "A Two-Stage Approach for Bag Detection in Pedestrian Images", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0843/ec2b76ef9401e60654fbfe71bac44ed19fae.pdf"], "doi": []}, {"id": "7f45292369a5214984b4a15c65330ada474b0150", "title": "Person re-identification with spatial appearance group feature", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7568919"]}, {"id": "0d754504848d071936a5d603c8b3db0c48a3da6d", "title": "DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7502111", "http://doi.org/10.1109/TCSVT.2016.2586851"]}, {"id": "18ab9be9af94f2bf4d3828161ffb232d1462526a", "title": "SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Barman_SHaPE_A_Novel_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237389", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.127", "http://doi.org/10.1109/ICCV.2017.127"]}, {"id": "e23a75430f777e982b0715b6f8a048d4bbfea438", "title": "Maximum Margin Metric Learning over Discriminative Nullspace for Person Re-identification", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10908.pdf"], "doi": []}, {"id": "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "title": "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/PengEtAl_CVPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.146", "http://doi.org/10.1109/CVPR.2016.146"]}, {"id": "8edcd935362c899e630349784e4ff8adb3a69cdc", "title": "Person re-identification using deformable patch metric learning", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20160304002207/Person-Re-identification-using-Deformable-Patch-Metric-Learning-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477590", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477590", "http://doi.org/10.1109/WACV.2016.7477590"]}, {"id": "611849b55ef6b164f21e52cefd05300041e72152", "title": "A MultiTask Deep Network for Person Re-Identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6118/49b55ef6b164f21e52cefd05300041e72152.pdf"], "doi": []}, {"id": "a855b07ab632ef67b0538325acc34e38f000245d", "title": "Deep neural network for person re-identification in a non-overlapping camera network", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217574", "http://doi.org/10.1109/ICCAIS.2017.8217574"]}, {"id": "c8c714c100a754baf7d86d240ec35207fcf84b06", "title": "Person Re-identification Meets Image Search.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02171.pdf"], "doi": []}, {"id": "ff8c21c13c9f442e6cebe405be4a4ce09a7fb98a", "title": "Background removal for improving saliency-based person re-identification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7758077", "http://doi.org/10.1109/KSE.2016.7758077"]}, {"id": "a9be351910ad6b1819764fbaf04caa69f27548a2", "title": "Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera Person Reidentification", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "University of Sheffield", "source_name": "The University of Sheffield", "street_adddress": "University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK", "lat": "53.38152480", "lng": "-1.48068143", "type": "edu", "country": "United Kingdom"}, {"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://ueaeprints.uea.ac.uk/62234/1/Accepted_manuscript.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7456248", "http://doi.org/10.1109/TCSVT.2016.2555739"]}, {"id": "6701efa7f715b3c296843b8ff5414a6610711cf9", "title": "Semi-automatic image and video annotation system for generating ground truth information", "addresses": [{"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8343233", "http://doi.ieeecomputersociety.org/10.1109/ICOIN.2018.8343233", "http://doi.org/10.1109/ICOIN.2018.8343233"]}, {"id": "7969cc315bbafcd38a637eb8cd5d45ba897be319", "title": "An enhanced deep feature representation for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07807.pdf"], "doi": []}, {"id": "063f78c20405158d87114a8aef1bb7557230bd89", "title": "An improved deep learning architecture for person re-identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://medialab.sjtu.edu.cn/teaching/CV/hw/related_papers/6_reid.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Ahmed_An_Improved_Deep_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_062.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_062_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Ahmed_An_Improved_Deep_2015_CVPR_paper.pdf", "http://www.merl.com/publications/docs/TR2015-076.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299016", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299016", "http://doi.org/10.1109/CVPR.2015.7299016"]}, {"id": "2e59865aa2ddcecaf9275abcad9b134558c686c2", "title": "Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf", "http://www4.comp.polyu.edu.hk/~cslzhang/paper/cvpr16/SIR-CIR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780513", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.144", "http://doi.org/10.1109/CVPR.2016.144"]}, {"id": "19bcd3bd41825a67f48db701a68030c5e6763152", "title": "Partial Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengEtAl_ICCV2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410888", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.531", "http://doi.org/10.1109/ICCV.2015.531"]}, {"id": "09d78009687bec46e70efcf39d4612822e61cb8c", "title": "Consistent Re-identification in a Camera Network", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c27f/099e6e7e3f7f9979cbe9e0a5175fc5848ea0.pdf"], "doi": []}, {"id": "1bcf142e3b2f5a7ade185f220ee031657203c293", "title": "Data-augmentation for reducing dataset bias in person re-identification", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.qub.ac.uk/sites/CSIT/InnovationatCSIT/ResearchGroups/IntelligentSurveillanceSystems/Data-AugmentationforReducingDatasetBiasinPersonRe-identification/Filetoupload,525207,en.pdf", "https://core.ac.uk/download/pdf/33587140.pdf", "https://pure.qub.ac.uk/portal/files/16612194/AMMDS_camera_ready_v2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301739", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301739", "http://doi.org/10.1109/AVSS.2015.7301739"]}, {"id": "0a103350842cca3794a784fb04ed70ca78e7f29d", "title": "A method of multi-criteria set recognition based on deep feature representation", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5385-3"]}, {"id": "a6840267e169382d3c5ab2645f6da60dd842d6ac", "title": "Person Re-Identification via Unsupervised Transfer of Learned Visual Representations", "addresses": [{"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131923"]}, {"id": "6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3", "title": "DeepReID: Deep Filter Pairing Neural Network for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909421"]}, {"id": "bf976d746b1223a60e93f6fcb1321e433eda94f6", "title": "Robust Color Invariant Model for Person Re-Identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46654-5_76"]}, {"id": "e9b72a152928f683aad5f81347777534b6715e67", "title": "Person re-identification with mutual re-ranking", "addresses": [{"name": "University of Information Technology", "source_name": "Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam", "street_adddress": "Khu ph\u1ed1 6 P, Vietnam", "lat": "10.87030000", "lng": "106.80345130", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s40595-016-0093-x"]}, {"id": "274e8c0c513ff82713f2f332694cf2b29b7c3bb1", "title": "0 Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/274e/8c0c513ff82713f2f332694cf2b29b7c3bb1.pdf"], "doi": []}, {"id": "e9835bb131287d711e5e5435a5df8ce5302acb31", "title": "Person Re-identification by Unsupervised ` 1 Graph Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e983/5bb131287d711e5e5435a5df8ce5302acb31.pdf"], "doi": []}, {"id": "64e4d1152cd43193f2f9a33c0fa2800b1aab1d55", "title": "A codebook of brightness transfer functions for improved target re-identification across non-overlapping camera views", "addresses": [{"name": "Iowa State University", "source_name": "Iowa State University", "street_adddress": "Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA", "lat": "42.02791015", "lng": "-93.64464415", "type": "edu", "country": "United States"}, {"name": "Syracuse University", "source_name": "Syracuse University", "street_adddress": "Syracuse, NY, USA", "lat": "43.03915340", "lng": "-76.13511580", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308625", "http://doi.org/10.1109/GlobalSIP.2017.8308625"]}, {"id": "6c572562a906f6c94d8f2e91895c161cbb0fa4cc", "title": "Multi-Channel Pyramid Person Matching Network for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02558.pdf"], "doi": []}, {"id": "35bddbae441ae8d5f381b3aa343d12eae3196efa", "title": "Person re-identification by discriminant analytical least squares metric learning", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "Guangzhou University", "source_name": "Guangzhou University", "street_adddress": "\u5e7f\u5dde\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u897f\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u5357\u6751\u9547, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04436505", "lng": "113.36668458", "type": "edu", "country": "China"}, {"name": "UBTECH Robotics, Shenzhen, People's Republic of China", "source_name": "UBTECH Robotics, Shenzhen, People\u2019s Republic of China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0917-z"]}, {"id": "592bbab1e073908c75584879bc00911e7246aebf", "title": "Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/06/FG2017_presentation-Julio.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961756", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.133", "http://doi.org/10.1109/FG.2017.133"]}, {"id": "5da0e870d1f9161989ee9110c932477b3030d501", "title": "Low-resolution person recognition using image downsampling", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986904", "http://doi.org/10.23919/MVA.2017.7986904"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "4679f58139f1be2aab2598378555f277bc299d2a", "title": "Online learning of dynamic multi-view gallery for person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3015-5"]}, {"id": "ccf934a335793fe416b0115183783d2c355b64ed", "title": "Query Based Adaptive Re-ranking for Person Re-identification", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ccf9/34a335793fe416b0115183783d2c355b64ed.pdf"], "doi": []}, {"id": "3147bb14bf4228735ecf4bc2a421590b3de86c0f", "title": "Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Liao_Efficient_PSD_Constrained_ICCV_2015_paper.pdf", "http://www.cbsr.ia.ac.cn/users/scliao/papers/Liao-ICCV15-MLAPG.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Liao_Efficient_PSD_Constrained_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410777", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.420", "http://doi.org/10.1109/ICCV.2015.420"]}, {"id": "ec85c3f57594afa77a8b0e516035550ef6f79db4", "title": "Support Neighbor Loss for Person Re-Identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06030.pdf"], "doi": []}, {"id": "67538df7950dbba0ab7885a23b7abf6f56f39537", "title": "Person Re-identification by Salience Matching", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhao_Person_Re-identification_by_2013_ICCV_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhaoOWiccv13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751425", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.314", "http://doi.org/10.1109/ICCV.2013.314"]}, {"id": "16e5d7b733086e0a7dbebc7218f80da53bd71646", "title": "Constraint patch matching for faster person re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947703", "http://doi.org/10.1109/ISBA.2017.7947703"]}, {"id": "6a2ecd18bba2667cefe1f9c3689c7cbe0380a276", "title": "An Enhanced Metric Learning for Person Reidentification", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455774"]}, {"id": "9b17f368d038a7d7e4304089c0270e81f0b4eb6c", "title": "Discriminative Structural Metric Learning for Person Reidentification in Visual Internet of Things", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8022862"]}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "1ce69b2ab1821b7434c099c2c2d65a2cef878645", "title": "Semi-supervised Region Metric Learning for Person Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1075-5"]}, {"id": "10952c8fed04a5847192decdecfeee03c9ea997f", "title": "Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification", "addresses": [{"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8469088", "http://doi.org/10.1109/TIP.2018.2870941", "https://www.ncbi.nlm.nih.gov/pubmed/30235128"]}, {"id": "628aea69160e273ae3b3ae982deb11e9089d0336", "title": "Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.pkuml.org/wp-content/uploads/2013/07/2017_TIP_DFC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016659", "http://doi.org/10.1109/TIP.2017.2745203", "https://www.ncbi.nlm.nih.gov/pubmed/28858800", "https://www.wikidata.org/entity/Q38599921"]}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "813cc31130ceab1668da1ac6646eea4b6a4be6b6", "title": "A new deep representation for large-scale scene classification", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Zhejiang Huayun, Zhejiang, China", "source_name": "Zhejiang Huayun, Zhejiang, China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5322-5"]}, {"id": "1fbc81959c49d04e292ef4cfc68dd431105cdd83", "title": "Enhanced Deep Feature Representation for Person Search", "addresses": [{"name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "source_name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}, {"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-7305-2_28"]}, {"id": "2dbff0b15221234e00bec4a00b4897c631904fcf", "title": "Learning Efficient Image Representation for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02319.pdf"], "doi": []}, {"id": "0a85bdff552615643dd74646ac881862a7c7072d", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299113"]}, {"id": "57c5501d9937fa43291dbd3f95288aded8b2dca1", "title": "Groups Re-identification with Temporal Context", "addresses": [{"name": "INRIA, Sophia Antipolis, France", "source_name": "INRIA, Sophia Antipolis, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078978"]}, {"id": "febff0f6faa8dde77848845e4b3e6f6c91180d33", "title": "Embedding Deep Metric for Person Re-identication A Study Against Large Variations", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00137.pdf"], "doi": []}, {"id": "faffbf70dbd094346bad9b8a4ddeb973c51a70a9", "title": "Cross-Scenario Transfer Person Reidentification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://xiaojuanwang.com/Slides/CrossScenarioTransferReid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7137647", "http://doi.org/10.1109/TCSVT.2015.2450331"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "26e39719a8dd2a554a825dba86fb244dcaaac4aa", "title": "Person re-identification via rich color-gradient feature", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/121800/4/copy+of+paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552869", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552869", "http://doi.org/10.1109/ICME.2016.7552869"]}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "b866bafa296ae836726a8a1df78639ad9533623b", "title": "Occlusion detector using convolutional neural network for person re-identification", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217564", "http://doi.org/10.1109/ICCAIS.2017.8217564"]}, {"id": "6448acca3bf4d14ad44756974a6486a317095a54", "title": "Deep multi-instance learning for end-to-end person re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4896-2"]}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "9ab57be9cd26652fcc02ce994ee53ede05cfa79c", "title": "Online learning on incremental distance metric for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7090533", "http://doi.org/10.1109/ROBIO.2014.7090533"]}, {"id": "3441edf456e25b222d7b237b96faa7e3e00daaf7", "title": "Person re-identification via adaboost ranking ensemble", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ucassdl.cn/publication/icip-lizhaoju.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533165", "http://doi.org/10.1109/ICIP.2016.7533165"]}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "de02043fd479a2bcf23d30ab4496cc4e0d84f699", "title": "Zero-Shot Person Re-identification via Cross-View Consistency", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346474", "http://doi.org/10.1109/TMM.2015.2505083"]}, {"id": "700bafb57112febd5d5712f474b0ecc39379320c", "title": "Deep Deformable Patch Metric Learning for Person Re-Identification", "addresses": [{"name": "Disney Research, Pittsburgh, PA, USA", "source_name": "Disney Research, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20171103171212/Deep-Deformable-Patch-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076890", "http://doi.org/10.1109/TCSVT.2017.2765242"]}, {"id": "aa2deffe0b56f7b9b8cdd69f5b3ee6bb79801797", "title": "Inter-Camera Person Tracking in Non-overlapping Networks: Re-identification Protocol and On-line Update", "addresses": [{"name": "Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka", "source_name": "Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka", "street_adddress": "Electrical Engineering Depratment, Indian Institute of Science, Bangalore, Javanica Marg, Mathikere, Bengaluru, Karnataka 560012, India", "lat": "13.01498720", "lng": "77.57103030", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131912"]}, {"id": "d0d148c5124d53152e93d25ed91523dc7d83a248", "title": "Adaptive Metric Learning and Probe-Specific Reranking for Person Reidentification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873304", "http://doi.org/10.1109/LSP.2017.2679208"]}, {"id": "f3084f7f60fe087c66606f21a1df6de890feeea8", "title": "Not All Negatives Are Equal: Learning to Track With Multiple Background Clusters", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583707", "http://doi.org/10.1109/TCSVT.2016.2615518"]}, {"id": "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "title": "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", "addresses": [{"name": "Cisco Systems, Inc., CA, USA", "source_name": "Cisco Systems, Inc., CA, USA", "street_adddress": "101 N Brand Blvd Suite 1700, Glendale, CA 91203, USA", "lat": "34.14683580", "lng": "-118.25544120", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243217"]}, {"id": "8e346f6cb75fa50e0c4e8fee4f198788b91569e1", "title": "Collaborative Networks for Person Verification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132385"]}, {"id": "03babadaaa7e71d4b65203e27e8957db649155c6", "title": "Distance Metric Learning via Iterated Support Vector Machines", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Educational Testing Service", "source_name": "Research Division, Educational Testing Service, Princeton, NJ, USA", "street_adddress": "Research Rd, Princeton, NJ 08540, USA", "lat": "40.34946320", "lng": "-74.71481500", "type": "company", "country": "United States"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.linliang.net/wp-content/uploads/2017/07/TIP_DistanceMetric.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7973168", "http://doi.org/10.1109/TIP.2017.2725578", "https://www.ncbi.nlm.nih.gov/pubmed/28708554"]}, {"id": "cde66b2f8c7f2e8b808073cc82f49fecfa0da04d", "title": "QRKISS: A Two-Stage Metric Learning via QR-Decomposition and KISS for Person Re-Identification", "addresses": [{"name": "Nanjing Agricultural University", "source_name": "College of Information Science and Technology, Nanjing Agricultural University, Nanjing, China", "street_adddress": "Jinling Rd, Xuanwu Qu, Nanjing Shi, Jiangsu Sheng, China, 210014", "lat": "32.03341000", "lng": "118.84257700", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University)", "source_name": "Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), Fuzhou, China", "street_adddress": "1 Wenxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.06470400", "lng": "119.16911600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9820-x"]}, {"id": "160da454cc64c1117c3a164b9bf375d73fb81720", "title": "Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00370.pdf"], "doi": []}, {"id": "82485c89a6b48077b03b65a774fd5768ea768d4d", "title": "Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03112.pdf"], "doi": []}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "0c69b1e916476bbdd8b1b38bbb1aa877709a0f28", "title": "Deep Siamese Network with Multi-level Similarity Perception for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University & Alibaba Group", "source_name": "Shanghai Jiao Tong University & Alibaba Group, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123452"]}, {"id": "2b52292f09451cf4c803b52c2995b51d17e96153", "title": "Body-structure based feature representation for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7178198", "http://doi.org/10.1109/ICASSP.2015.7178198"]}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "9125903bf7aa68920fdca8296f703b9013a877ed", "title": "Deep spatial pyramid for person re-identification", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170814145721/Deep-Spatial-Pyramid-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078492", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078492", "http://doi.org/10.1109/AVSS.2017.8078492"]}, {"id": "37ba12271d09d219dd1a8283bc0b4659faf3a6c6", "title": "Domain transfer for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2510658"]}, {"id": "51144f331aa9310e4fd9b4dab00e4baf6fba7ef3", "title": "Person re-identification using CNN features learned from combination of attributes", "addresses": [{"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://www.i.kyushu-u.ac.jp/~matsukawa/ReID_files/icpr2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900000", "http://doi.org/10.1109/ICPR.2016.7900000"]}, {"id": "8520a3731e66304cac8981e97127211409b5089e", "title": "Robust Discriminative Subspace Learning for Person Reidentification", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540416"]}, {"id": "779a74a12d73d5b72c156a50ff14f29fb8b09f0a", "title": "Graph Correspondence Transfer for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00242.pdf"], "doi": []}, {"id": "090dd649d9873282cfb7918fc12d11cb673dc15e", "title": "Person Reidentification Based on Elastic Projections", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7896623", "http://doi.org/10.1109/TNNLS.2016.2602855", "https://www.ncbi.nlm.nih.gov/pubmed/28422688", "https://www.wikidata.org/entity/Q38830568"]}, {"id": "76ad6daa899a8657c9c17480e5fc440fda53acec", "title": "A Multi-task Deep Network for Person Re-identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05369.pdf"], "doi": []}, {"id": "e1febe25c3f678878c97bec28036c797bc5e6d0d", "title": "Cooperative multi-scale Convolutional Neural Networks for person detection", "addresses": [{"name": "Ilmenau University of Technology", "source_name": "Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany", "street_adddress": "Ilmenau, Germany", "lat": "50.68435020", "lng": "10.92547280", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727208", "http://doi.org/10.1109/IJCNN.2016.7727208"]}, {"id": "a784fd9391cc7013c618186017bbf43b806fa004", "title": "Discriminative regularized metric learning for person re-identification", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China", "source_name": "Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China", "street_adddress": "Chongqing, China", "lat": "29.43158610", "lng": "106.91225100", "type": "gov", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139075", "http://doi.org/10.1109/ICB.2015.7139075"]}, {"id": "ddca5c18415bb855e76f9f459747685ee9c23a4d", "title": "MSMCT: Multi-State Multi-Camera Tracker", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048028", "http://doi.org/10.1109/TCSVT.2017.2755038"]}, {"id": "e5a9b24056782a343ddc903aebc21e6c277a6b2d", "title": "People re-identification using two-stage transfer metric learning", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.mva-org.jp/Proceedings/2015USB/papers/15-03.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153260", "http://doi.org/10.1109/MVA.2015.7153260"]}, {"id": "887502ea2d8a335d8e72deb23fec2784df713b8d", "title": "Nonlinear Local Metric Learning for Person Re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05169.pdf"], "doi": []}, {"id": "2de8508b33fe3ee290f94339a2f78f373e83b21d", "title": "Multi-Level Common Space Learning for Person Re-Identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7876753", "http://doi.org/10.1109/TCSVT.2017.2680118"]}, {"id": "a46edfb0d5374fae7633b56ab767e26cc8ea25ac", "title": "Deep Multi-Metric Learning for Person Re-Identification", "addresses": [{"name": "Ministry of Education (Chongqing University)", "source_name": "Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education (Chongqing University), Chongqing, China", "street_adddress": "China, Chongqing Shi, Shapingba Qu, ChongQing DaXue, \u6c99\u6b63\u8857174\u53f7", "lat": "29.56488000", "lng": "106.46809700", "type": "gov", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486502", "http://doi.ieeecomputersociety.org/10.1109/ICME.2018.8486502", "http://doi.org/10.1109/ICME.2018.8486502"]}, {"id": "e6eda2bfec3036cf431a45fa021070ab21bb3488", "title": "Mirror Representation for Modeling View-Specific Transform in Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6ed/a2bfec3036cf431a45fa021070ab21bb3488.pdf"], "doi": []}, {"id": "5c07464391cda9440cf05c67ab5f3b2b777459d6", "title": "Person Re-Identification by Localizing Discriminative Regions", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5c07/464391cda9440cf05c67ab5f3b2b777459d6.pdf"], "doi": []}, {"id": "9963c73b03e4649959f021ef6f4fb1eac0b617d2", "title": "Person Reidentification Using Multiple Egocentric Views", "addresses": [{"name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "source_name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2017/Person%20Re-identification%20Using%20Multiple%20Egocentric%20Views.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583680", "http://doi.org/10.1109/TCSVT.2016.2615445"]}, {"id": "2b853328b37db50be2e5ddf7e6629121f607140c", "title": "Combined salience based person re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2862-4"]}, {"id": "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "title": "Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4649-2"]}, {"id": "d8c2a08673bcda9fca35972112bff8764d207764", "title": "An Asymmetric Distance Model for Cross-View Feature Mapping in Person Reidentification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://isee.sysu.edu.cn/files/resource/CVDCA.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7373616", "http://doi.org/10.1109/TCSVT.2016.2515309"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "ea00489323104d70dd43bac5e15390ec4d6dfe8f", "title": "Transfer for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea00/489323104d70dd43bac5e15390ec4d6dfe8f.pdf"], "doi": []}, {"id": "3387805b752dadfa34cb8eb63d9dc86aff49934a", "title": "Exploration of Contextual Relationships for Robust Video Analysis: Applications in Camera Networks, Bio-image Analysis and Activity Forecasting", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3387/805b752dadfa34cb8eb63d9dc86aff49934a.pdf"], "doi": []}, {"id": "bffefd41cea42f4db45e8c98b0651f74a8aa90d6", "title": "Multi-Region bilinear convolutional neural networks for person re-identification", "addresses": [{"name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "source_name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "street_adddress": "Ulitsa Nobelya, 3, Moskva, Moscow Oblast, Russia, 121205", "lat": "55.68465660", "lng": "37.34075390", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078460", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078460", "http://doi.org/10.1109/AVSS.2017.8078460"]}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "title": "Constrained Deep Metric Learning for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07545.pdf"], "doi": []}, {"id": "b8e9a328d3952755941380f9eb88072c3c1e4f74", "title": "Reranking of person re-identification by manifold-based approach", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351608", "http://doi.org/10.1109/ICIP.2015.7351608"]}, {"id": "f62d71e701c9fd021610e2076b5e0f5b2c7c86ca", "title": "Mahalanobis Distance Learning for Person Re-identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}, {"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f62d/71e701c9fd021610e2076b5e0f5b2c7c86ca.pdf"], "doi": []}, {"id": "4469d0d0ac2f6f0221dc865b132958df33faa95e", "title": "Region-Based Interactive Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://mmap.whu.edu.cn/wp-content/uploads/publications/2014/wz_2014PCM.pdf", "http://multimedia.whu.edu.cn/group/MAP/personalpage/wz_pdf/PCM2014%20V12.pdf", "http://multimedia.whu.edu.cn/group/publications/2014/wz_2014PCM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-13168-9_1", "http://www.escience.cn/system/download/74305"]}, {"id": "0f911ed7c457979200848db3974f13ed3d7457a4", "title": "Deep learning with particle filter for person re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6415-5"]}, {"id": "3f9f5a8966c035dc179a60c042b160aee2bf8f53", "title": "Deep Second-Order Siamese Network for Pedestrian Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3f9f/5a8966c035dc179a60c042b160aee2bf8f53.pdf"], "doi": []}, {"id": "93fa3d850e1aa84ce6fc0f2fdd0bda028fb6ca8f", "title": "Context-aware reinforcement learning for re-identification in a video network", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778207", "http://doi.org/10.1109/ICDSC.2013.6778207"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "5438e7c8151311d76ed7335051069c7c07113a12", "title": "Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Greenwich", "source_name": "University of Greenwich, London, United Kingdom", "street_adddress": "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "lat": "51.48293080", "lng": "-0.00699500", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965715", "http://doi.org/10.1109/SERA.2017.7965715"]}, {"id": "0f18522f7cc5068a2dc89e28dd41054384fab289", "title": "Improving person re-identification by soft biometrics based reranking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_icdsc2.pdf", "http://www.ee.ucr.edu/~lan/papers/ANICDSC13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778216", "http://doi.org/10.1109/ICDSC.2013.6778216"]}, {"id": "f9824a85f30c687f7b3a3fbf25f842d3d87e77ea", "title": "Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning", "addresses": [{"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8023775", "http://doi.org/10.1109/TNNLS.2017.2736640", "https://www.ncbi.nlm.nih.gov/pubmed/28880193", "https://www.wikidata.org/entity/Q47696400"]}, {"id": "2ab79698e74812142600f7e02315b9ac235a93ee", "title": "Person re-identification based on deep spatio-temporal features and transfer learning", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727397", "http://doi.org/10.1109/IJCNN.2016.7727397"]}, {"id": "12bce6e2db10faa4f370f9e40a6084296080b5cb", "title": "Learning to rank in person re-identification with metric ensembles", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01543.pdf"], "doi": []}, {"id": "b33d610d62e5255c77ca4abcc9de8aa3c57b60aa", "title": "Regularization in metric learning for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351214", "http://doi.org/10.1109/ICIP.2015.7351214"]}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "2d4c5768a65f05f96ae71a269422d0c3d371b26a", "title": "Semantics-Aware Deep Correspondence Structure Learning for Robust Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d4c/5768a65f05f96ae71a269422d0c3d371b26a.pdf"], "doi": []}, {"id": "c58a68628745ad189e47dcd956c7e23dc831da1f", "title": "Camera Compensation Using a Feature Projection Matrix for Person Reidentification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6739115", "http://doi.org/10.1109/TCSVT.2014.2305519"]}, {"id": "afaec3f0da9f2b8721b7979c8e77341bae59f98a", "title": "Person re-identification with coarse-to-fine visual attention", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296451", "http://doi.org/10.1109/ICIP.2017.8296451"]}, {"id": "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "title": "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "addresses": [{"name": "London, United Kingdom", "source_name": "London, United Kingdom", "street_adddress": "London, Greater London, England, SW1A 2DU, UK", "lat": "51.50732190", "lng": "-0.12764740", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7970176"]}, {"id": "4acbfe48fb279dbbc62f5be868dde5a4ce799904", "title": "Person re-identification by free energy score space encoding", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025496", "http://doi.org/10.1109/ICIP.2014.7025496"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "b3ed0c6d71a0b7b4a056dd88919c49f05ab69a9f", "title": "Data-driven and semantic-based pedestrian re-identification", "addresses": [{"name": "Jiangsu University", "source_name": "Jiangsu University", "street_adddress": "\u6c5f\u82cf\u5927\u5b66, 301, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212013, \u4e2d\u56fd", "lat": "32.20302965", "lng": "119.50968362", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393408", "http://doi.org/10.1109/FSKD.2017.8393408"]}, {"id": "de1aafc4f737d17b211fb84b80bace40f82c148b", "title": "Person Re-Identification by Dual-Regularized KISS Metric Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7451215", "http://doi.org/10.1109/TIP.2016.2553446", "https://www.ncbi.nlm.nih.gov/pubmed/27093624", "https://www.wikidata.org/entity/Q47434589"]}, {"id": "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "title": "Improving Person Re-identification via Pose-Aware Multi-shot Matching", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cho_Improving_Person_Re-Identification_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780520", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.151", "http://doi.org/10.1109/CVPR.2016.151"]}, {"id": "17f9b24a4871d29ca1a83fae12e4b96bce0fba63", "title": "Person Re-Identification Using Kernel-Based Metric Learning Methods", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/FeiXiong_ECCV14.pdf", "http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/posters/FeiXiong_ECCV14.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8695/86950001.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10584-0_1"]}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "29401a5ad840cfa2c525003815149d62399e91d1", "title": "Person Reidentification by Minimum Classification Error-Based KISS Metric Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6824754", "http://doi.org/10.1109/TCYB.2014.2323992", "https://www.ncbi.nlm.nih.gov/pubmed/25486658"]}, {"id": "944efd74c6fd812c6c495a11e7b045c9b778702e", "title": "RCAA: Relational Context-Aware Agents for Person Search", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/944e/fd74c6fd812c6c495a11e7b045c9b778702e.pdf"], "doi": []}, {"id": "2fa4b37f91667970150481c37a1f4e294a49b7f0", "title": "Person Reidentification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing", "addresses": [{"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://graphvision.whu.edu.cn/papers/Ye_TMM_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7557057", "http://doi.org/10.1109/TMM.2016.2605058"]}, {"id": "8e069b2447751a2ac44056203a47fa97ac803e4b", "title": "Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654965"]}, {"id": "952a8ef56f35376a52e4540d3df9e48f4077b09e", "title": "Deep feature embedding learning for person re-identification based on lifted structured loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6408-4"]}, {"id": "3cbb4cf942ee95d14505c0f83a48ba224abdd00b", "title": "Hierarchical Cross Network for Person Re-identification", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.06820.pdf"], "doi": []}, {"id": "dfc14e8bd07aeb2b97b3b5129ca511f0d157a6b5", "title": "Human detection and tracking over camera networks: A review", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846643"]}, {"id": "aec7ba707a37446fbf39cec960951ded2d575267", "title": "Learning Multiple Kernel Metrics for Iterative Person Re-Identification", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234929"]}, {"id": "9d6a35541f388db3f4ccf4c457e8ba23eb463654", "title": "Local region partition for person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4817-4"]}, {"id": "c105bd7f3fcdcf531fecd29206f7a1a6ade8e6c6", "title": "Towards unsupervised open-set person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/18790/Gong%20Towards%20unsupervised%20open-set%202016%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532461", "http://doi.org/10.1109/ICIP.2016.7532461"]}, {"id": "92166eb883b0505040c2d61c758985e5ec051f83", "title": "Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07528.pdf"], "doi": []}, {"id": "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "title": "Attention-based Few-Shot Person Re-identification Using Meta Learning", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09613.pdf"], "doi": []}, {"id": "7b6dc0a4feb3c940618f6c011ee1b75089e3b07a", "title": "Metric learning with trace-norm regularization for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025494", "http://doi.org/10.1109/ICIP.2014.7025494"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "956466b5c3036ada2e18f8f7c1b7bf0650779d08", "title": "Learning patch-dependent kernel forest for person re-identification", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://dklospace.github.io/papers/wacv16person.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477578", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477578", "http://doi.org/10.1109/WACV.2016.7477578"]}, {"id": "7d66daaaf6a52c3c0f26972c10e08423a23f842c", "title": "Improving person re-identification systems: a novel score fusion framework for rank-n recognition", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010018"]}, {"id": "16d2ead2c3e98aa1ee9c948855a027e1da2b8eea", "title": "Multi-view Deep Network for Cross-View Classification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kan_Multi-View_Deep_Network_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kan_Multi-View_Deep_Network_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780893", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.524", "http://doi.org/10.1109/CVPR.2016.524"]}, {"id": "7f02f790f320194d5eccf7665066308e46f5d0e9", "title": "Coupled-View Based Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://multimedia.whu.edu.cn/group/MAP/personalpage/Mang%20Ye's%20Homepage/ym_mmm.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/mmm2015.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/ym_mmm.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-14445-0_10"]}, {"id": "014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7", "title": "Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ab6e/d75e1b1952e4461fc603bcfd042bb462635f.pdf"], "doi": []}, {"id": "3d5b43dcb9725f469635c54c01f6bc90976b4ee0", "title": "Triplet CNN and pedestrian attribute recognition for improved person re-identification", "addresses": [{"name": "Thales Services, ThereSIS, Palaiseau, France", "source_name": "Thales Services, ThereSIS, Palaiseau, France", "street_adddress": "Route D\u00e9partementale, 91120 Palaiseau, France", "lat": "48.71472740", "lng": "2.20270890", "type": "company", "country": "France"}, {"name": "University of Lyon", "source_name": "Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://hal.archives-ouvertes.fr/hal-01625479/file/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078542", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078542", "http://doi.org/10.1109/AVSS.2017.8078542"]}, {"id": "3a387304d18f2786ee83804bd38efecc2a5fd323", "title": "Person Re-Identification Using Multiple Experts with Random Subspaces", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3a38/7304d18f2786ee83804bd38efecc2a5fd323.pdf"], "doi": []}, {"id": "447848afc79a7f78be49450cd330bfdaabdd64d3", "title": "Incremental Kernel Null Foley-Sammon Transform for Person Re-identification", "addresses": [{"name": "Aviation University of Airforce", "source_name": "Aviation University of Airforce, Changchun, 130022, China", "street_adddress": "Fanrong Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130022", "lat": "43.83983040", "lng": "125.32018170", "type": "mil", "country": "China"}, {"name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "source_name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546301"]}, {"id": "64b90c3220c43f58cb38da9af1a1b77da3dde63e", "title": "Recurrent Attention Models for Depth-Based Person Identification", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.07212.pdf"], "doi": []}, {"id": "3a0425c25beea6c4c546771adaf5d2ced4954e0d", "title": "Domain Adaptation in Computer Vision Applications", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-58347-1", "https://link.springer.com/book/10.1007/978-3-319-58347-1"]}, {"id": "9a81f46fcf8c6c0efbe34649552b5056ce419a3d", "title": "Deep person re-identification with improved embedding and efficient training", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03332.pdf"], "doi": []}, {"id": "e7e070a929d7911ef2f8c6f6d4e3c5d62c5a9890", "title": "Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7893777", "http://doi.org/10.1109/TPAMI.2017.2691769", "https://www.ncbi.nlm.nih.gov/pubmed/28410099", "https://www.wikidata.org/entity/Q36347023"]}, {"id": "de2faaee4f1b2ecf23149995d0146347a13b9257", "title": "Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment", "addresses": [{"name": "Johannes Kepler University", "source_name": "Johannes Kepler University, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06114.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "a65c3af3752866732fb2d1ccb3305ddf0fea91df", "title": "Deep Feature Embedding Learning for Person Re-Identification Using Lifted Structured Loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001957.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462118", "http://doi.org/10.1109/ICASSP.2018.8462118"]}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "5db08701e6a8173ada652309c09d1262f9df7f9b", "title": "Ranking Optimization for Person Re-identification via Similarity and Dissimilarity", "addresses": [{"name": "Jiujiang University", "source_name": "Jiujiang University, Jiujiang, China", "street_adddress": "17 Lufeng Rd, Xunyang Qu, Jiujiang Shi, Jiangxi Sheng, China, 332000", "lat": "29.72004900", "lng": "115.99882500", "type": "edu", "country": "China"}, {"name": "Wuhan Univeristy, Wuhan, China", "source_name": "Wuhan Univeristy, Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806326"]}, {"id": "7e186b41f5d2cfdf1940009e61d4e34a47b33c7c", "title": "Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wang_Orientation_Invariant_Feature_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237311", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.49", "http://doi.org/10.1109/ICCV.2017.49"]}, {"id": "8cfdd9047f8ad1eaf7d2b71385576f759c792173", "title": "Similarity Learning with Top-heavy Ranking Loss for Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://www.researchgate.net/profile/Changxin_Gao/publication/284274001_Similarity_Learning_with_Top-heavy_Ranking_Loss_for_Person_Re-identification/links/568c660f08aeb488ea2fd6a6.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332741", "http://doi.org/10.1109/LSP.2015.2502271"]}, {"id": "54be7b76110de37a8315bad7a4b0cda3bdaace76", "title": "Person Reidentification Using Deep Convnets With Multitask Learning", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pure.qub.ac.uk/portal/files/106210265/bare_jrnl_no_copyright_notice.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734118,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600455", "http://doi.org/10.1109/TCSVT.2016.2619498"]}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "e0c6748799529ee035b21f040187d1e6df232624", "title": "Temporally aligned pooling representation for video-based person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533168", "http://doi.org/10.1109/ICIP.2016.7533168"]}, {"id": "edc67e3e95c0ae693c4df3193e5957dfd3e9e5b3", "title": "Person Re-Identification Using Multi-region Triplet Convolutional Network", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131917"]}, {"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "title": "Scalable Person Re-identification: A Benchmark", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, {"id": "bc27434e376db89fe0e6ef2d2fabc100d2575ec6", "title": "Faceless Person Recognition; Privacy Implications in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08438.pdf"], "doi": []}, {"id": "61dfbdfe718aca026cafa06adc63055bd0fc562e", "title": "A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61df/bdfe718aca026cafa06adc63055bd0fc562e.pdf"], "doi": []}, {"id": "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "title": "Independent metric learning with aligned multi-part features for video-based person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-7119-6"]}, {"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "title": "Person Re-identification by Video Ranking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "c249f0aa1416c51bf82be5bb47cbeb8aac6dee35", "title": "Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04533.pdf"], "doi": []}, {"id": "57ef0d30fac07e1fef3346838a1dcc8f4eb9f315", "title": "A novel stereo matching approach for pedestrian re-identification", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["http://www.ee.iisc.ac.in/new/people/faculty/soma.biswas/Papers/biswas_ncvpripg2015_pedreid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490003"]}, {"id": "a66a0349a840e786455ad2741c7fe7c46c9d4ca6", "title": "Impostor Resilient Multimodal Metric Learning for Person Reidentification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://downloads.hindawi.com/journals/am/2018/3202495.pdf"], "doi": ["https://doi.org/10.1155/2018%2F3202495", "https://doi.org/10.1155/2018/3202495"]}, {"id": "3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904", "title": "Dynamic locally connected layer for person re-identification", "addresses": [{"name": "ChongQing College of Electronic Engineering, Chongqing, China", "source_name": "ChongQing College of Electronic Engineering, Chongqing, China", "street_adddress": "Shapingba, Chongqing, China", "lat": "29.62636500", "lng": "106.32531700", "type": "edu", "country": "China"}, {"name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "source_name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "street_adddress": "11 Zhongshan 4th Rd, DaXiGou, Yuzhong Qu, Chongqing Shi, China, 400065", "lat": "29.56245900", "lng": "106.54645100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2033-2"]}, {"id": "ab1b95677e8ea0f9881520b34a5f8192d141ef0e", "title": "Corrections to \u201cRelevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities\u201d [Dec 15 4741-4755]", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364308", "http://doi.org/10.1109/TIP.2015.2466117", "https://www.ncbi.nlm.nih.gov/pubmed/26259221", "https://www.wikidata.org/entity/Q39195975"]}, {"id": "293c4f086152ae9d635ab1eb84b72f44cb57d129", "title": "Person re-identification via person DPM based partition", "addresses": [{"name": "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "source_name": "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "street_adddress": "Zhengzhou, Henan, China", "lat": "34.74661100", "lng": "113.62532800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0001.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900236", "http://doi.org/10.1109/ICPR.2016.7900236"]}, {"id": "1e5a1619fe5586e5ded2c7a845e73f22960bbf5a", "title": "Group Membership Prediction", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.04783.pdf"], "doi": []}, {"id": "8fb0ae4fa49de45bbd51f97571732c1827516617", "title": "Coupled analysis-synthesis dictionary learning for person re-identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296304", "http://doi.org/10.1109/ICIP.2017.8296304"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "afd492a598476b5a9b13e2b6d28a76b0707c0a35", "title": "Open-set Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1408.0872.pdf"], "doi": []}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "33c31cba98bda51f923caff75022d13bf62a5d60", "title": "Towards more reliable matching for person re-identification", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Towards%20More%20Reliable%20Matching%20for%20Person%20Re-identification.pdf", "http://sist.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Towards%20More%20Reliable%20Matching%20for%20Person%20Re-identification.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126349", "http://doi.org/10.1109/ISBA.2015.7126349"]}, {"id": "93afaa8c5fb5e0913e1f2a2de99636ddd30f7718", "title": "A combined feature representation of deep feature and hand-crafted features for person re-identification", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7949499"]}, {"id": "311e4361ded641dc6f007595dc05f5c77055bdba", "title": "Cross-View Discriminative Feature Learning for Person Re-Identification", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}, {"name": "Research Division, Anyvision, Belfast, U.K.", "source_name": "Research Division, Anyvision, Belfast, U.K.", "street_adddress": "Belfast, UK", "lat": "54.59728500", "lng": "-5.93012000", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398470"]}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "title": "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0991-0"]}, {"id": "a089b7627f4661e68fbb2acc4a741b98e54f1f09", "title": "Knowledge Science, Engineering and Management", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "Universit\u00e0 di Trento, Povo, Italy", "source_name": "Universit\u00e0 di Trento, Povo, Italy", "street_adddress": "Via Sommarive, 14, 38123 Povo TN, Italy", "lat": "46.06559770", "lng": "11.15084150", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-99247-1"]}, {"id": "df4525d7d99f7237c864adbcb2dab30d8f7447e0", "title": "Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification", "addresses": [{"name": "Universidade Federal de Minas Gerais, Brazil", "source_name": "Universidade Federal de Minas Gerais, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06969.pdf"], "doi": []}, {"id": "66284b8894bab0165c4210cd2df749f0b015c88e", "title": "Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8e0/0a3fb542d0d6ab090b28aa864de9c262fd40.pdf"], "doi": []}, {"id": "d87cfabb760f7e955f872ac077eadf5c0abfb32c", "title": "Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639078"]}, {"id": "71644fab2275cfd6a8f770a26aba4e6228e85dec", "title": "Multi-View Discriminant Analysis", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Omron Social Solutions Co., LTD., Kyoto, Japan", "source_name": "Omron Social Solutions Co., LTD., Kyoto, Japan", "street_adddress": "Kyoto, Kyoto Prefecture, Japan", "lat": "35.01163630", "lng": "135.76802940", "type": "company", "country": "Japan"}], "year": "2016", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/basicpage/file/Multi-view%20Discriminant%20Analysis_TPAMI2015.pdf", "http://vipl.ict.ac.cn/sites/default/files/papers/files/2012_ECCV_mnkan_Multi-view%20Discriminant%20Analysis.pdf", "http://www.jdl.ac.cn/doc/2011/20131910365517756_2012_eccv_mnkan_mvda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7110624", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2435740", "http://doi.org/10.1109/TPAMI.2015.2435740", "https://www.ncbi.nlm.nih.gov/pubmed/26656586"]}, {"id": "7b83674072904f783881585a45017c1969e2d692", "title": "Multi-Perspective Tracking for Intelligent Vehicle", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272017", "http://doi.org/10.1109/TITS.2017.2784486"]}, {"id": "02f94930219d2bb632d067ca2d31db61161ed5fb", "title": "Multi-Scale Triplet CNN for Person Re-Identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967209"]}, {"id": "0c59071ddd33849bd431165bc2d21bbe165a81e0", "title": "Person Recognition in Personal Photo Collections", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03502.pdf"], "doi": []}, {"id": "bd46c9a7b51e8d8a7726b6fbacec80aa6f2097d4", "title": "Toward facial re-identification: Experiments with data from an operational surveillance camera plant", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791204", "http://doi.org/10.1109/BTAS.2016.7791204"]}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "63d64d07966d4d128581246a891ff1d3dd3a2a96", "title": "Learning face similarity for re-identification from real surveillance video: A deep metric solution", "addresses": [{"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272704", "http://doi.org/10.1109/BTAS.2017.8272704"]}, {"id": "3e90a70d768415e28fbf0dd56e53f8933784c416", "title": "Highly Efficient Regression for Scalable Person Re-Identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01341.pdf"], "doi": []}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "436e40bfb2b5f8ba771812b7299669e677ecb29b", "title": "Dense 3D-Convolutional Neural Network for Person Re-Identification in Videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3231741"]}, {"id": "e23004116d85976ad0a2a4da69914a2c9d1ea5ab", "title": "Multi-part compact bilinear CNN for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296694", "http://doi.org/10.1109/ICIP.2017.8296694"]}, {"id": "47165ad181b3da3a615e6e8bc8509fcfc53f49c4", "title": "Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/papers/files/2014_ICDM_TINA%20Cross-modal%20Correlation%20Learning%20by%20Adaptive%20Hierarchical%20Semantic%20Aggregation.pdf", "http://www.jdl.ac.cn/doc/2011/201511612313045160_2014_icdm_tina%20cross-modal%20correlation%20learning%20by%20adaptive%20hierarchical%20semantic%20aggregation.pdf", "http://www.jdl.ac.cn/doc/2011/201711321582995603_cross-modal%20correlation%20learning%20by%20adaptive%20hierarchical%20semantic%20aggregation-tmm%202016-yan%20hua.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7422147", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2014.65", "http://doi.org/10.1109/ICDM.2014.65", "https://doi.org/10.1109/TMM.2016.2535864"]}, {"id": "ac44314e877e10ecf4b2123553ed0bdc3fc963ef", "title": "On-Road Pedestrian Tracking Across Multiple Driving Recorders", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7155586", "http://doi.org/10.1109/TMM.2015.2455418"]}, {"id": "6345eef2ffe46da6d77d07446c1329da7ea00f45", "title": "Trajectory Ensemble: Multiple Persons Consensus Tracking Across Non-overlapping Multiple Cameras over Randomly Dropped Camera Networks", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Kawanishi_Trajectory_Ensemble_Multiple_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014924", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.190", "http://doi.org/10.1109/CVPRW.2017.190"]}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "title": "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9c82/751e5bb63f54e9419703590ac9be86171de0.pdf"], "doi": []}, {"id": "a2fa23bb2720f1fe2131a485562658f1a8fd4ea0", "title": "Deep Siamese Network for Multiple Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547137"]}, {"id": "dac8fc521dfafb2d082faa4697f491eae00472c7", "title": "Learning to Generate and Edit Hairstyles", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123423"]}, {"id": "20b7d94df4011cd27e420976216b419890e254ff", "title": "Unsupervised Hashing with Neural Trees for Image Retrieval and Person Re-Identification", "addresses": [{"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243687"]}, {"id": "a29566375836f37173ccaffa47dea25eb1240187", "title": "Vehicle Re-Identification in Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09409.pdf"], "doi": []}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "26d3f57dd09efff6315ae0064cdad4877f5297d7", "title": "Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03252.pdf"], "doi": []}, {"id": "8824638e8077f62283d292804006ce94c92764bf", "title": "M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03768.pdf"], "doi": []}, {"id": "1bd2ac7fa16af540f2c7ef753a5ab06ce54d3d02", "title": "Person re-identification based on combined Gaussian weighted Fisher vectors", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7945651", "http://doi.ieeecomputersociety.org/10.1109/AICCSA.2016.7945651", "http://doi.org/10.1109/AICCSA.2016.7945651"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "f96525599a5abc069d2415950f6acd0ed37ab7d8", "title": "Convolutional neural network-based representation for person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495897", "http://doi.org/10.1109/SIU.2016.7495897"]}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "b5184bd428b9a89255900dce50b4320741706744", "title": "Discovering Disentangled Representations with the F Statistic Loss", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b518/4bd428b9a89255900dce50b4320741706744.pdf"], "doi": []}, {"id": "3149e6206484104959bcd112abb4e448fc35e311", "title": "A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240879"]}, {"id": "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "title": "Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "addresses": [{"name": "University of California, Los Angeles", "source_name": "University of California, Los Angeles", "street_adddress": "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "lat": "34.06877880", "lng": "-118.44500940", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09882.pdf"], "doi": []}, {"id": "6bdef989bd80d72c620aa9ac4c62c021cf4bd9d6", "title": "Video structured description technology based intelligence analysis of surveillance videos for public security applications", "addresses": [{"name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "source_name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "street_adddress": "China, Shanghai, Xuhui, \u5cb3\u9633\u8def76\u53f7", "lat": "31.20700600", "lng": "121.45196400", "type": "gov", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3112-5"]}, {"id": "33526226231cce669317ece44e6af262b8395dd9", "title": "CRF-CNN: Modeling Structured Information in Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00468.pdf"], "doi": []}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "52c141b9b7739dbacc93e3e661a15c84853d4094", "title": "A Multi-loss Deep Network Based on Pyramid Pooling for Person Re-identification", "addresses": [{"name": "Xi'an Jiantong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xi'an Jiantong University, Xi'an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "source_name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623067"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "beb0239feac388e4ee04492159a45f7e2c71e1e3", "title": "POI: Multiple Object Tracking with High Performance Detection and Appearance Feature", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.06136.pdf"], "doi": []}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "47f4dec5f733e933c8b9a8fdcda9419741f2bf62", "title": "Adversarial Metric Attack for Person Re-identification", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10650.pdf"], "doi": []}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "9c675774d49be7ba428c80142cb63ed4267d3c46", "title": "Low illumination person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6239-3"]}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "title": "Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6409-3"]}, {"id": "424cce55355f2fa4b3c020d56967e1f7b82b1de9", "title": "M 2 M-GAN : Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/424c/ce55355f2fa4b3c020d56967e1f7b82b1de9.pdf"], "doi": []}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "9c2978428e35f27a851432dd44f1d2721e0e10e3", "title": "A traffic object classification pipeline based on CNNs", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7382581"]}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "8de7da01bf4c2643f36dae4a8d2fa04906daff02", "title": "An enhanced triplet CNN based on body parts for person re-identificacion", "addresses": [{"name": "Universidad Cat\u00f3lica San Pablo, Arequipa, Per\u00fa", "source_name": "Universidad Cat\u00f3lica San Pablo, Arequipa, Per\u00fa", "street_adddress": "Quinta Vivanco s/n, Urb. Campi\u00f1a Paisajista, Arequipa 04001, Peru", "lat": "-16.39013840", "lng": "-71.53571610", "type": "edu", "country": "Peru"}, {"name": "Universidad Nacional de San Agust\u00edn, Arequipa, Per\u00fa", "source_name": "Universidad Nacional de San Agust\u00edn, Arequipa, Per\u00fa", "street_adddress": "Arequipa, Peru", "lat": "-16.40546170", "lng": "-71.52082910", "type": "edu", "country": "Peru"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8405126", "http://doi.org/10.1109/SCCC.2017.8405126"]}, {"id": "6abe0a851064e0c5068c37067f2227d53127f69b", "title": "Hetero-Manifold Regularisation for Cross-Modal Hashing", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801124"]}, {"id": "b086e278c5ac61c024e89b302fec87b2aecf9281", "title": "Which Part is Better: Multi-Part Competition Network for person Re-Identification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545848"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "fac6b4562053853db517ff6511c6daff2e6a1a7b", "title": "Deep Low-Resolution Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fac6/b4562053853db517ff6511c6daff2e6a1a7b.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "72f6bc80258293bddcca325fe95ce8df36ae6f06", "title": "An effective approach to crowd counting with CNN-based statistical features", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090827"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "3c8f916264e8d15ba1bc618c6adf395e86dd7b40", "title": "Generating Descriptions with Grounded and Co-referenced People", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01518.pdf"], "doi": []}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "bdd3e33cb78965bcd15d69b7902c813b2ac864ff", "title": "GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123279"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "6355f7fd956466e8e9f09b297e6cdd155d66740e", "title": "EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.08153.pdf"], "doi": []}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "9d5a6d12b39c6574fe284d779d2c23c2800bb283", "title": "Vehicle Re-Identification by Deep Hidden Multi-View Inference", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325486", "http://doi.org/10.1109/TIP.2018.2819820", "https://www.ncbi.nlm.nih.gov/pubmed/29641406"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "ac32cdb3e0a996c75d5df2973c1a2444a81c0a5e", "title": "Defense Against Adversarial Attacks with Saak Transform", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01785.pdf"], "doi": []}, {"id": "d70d0bf360f4007c06407b7634c617979ac703b1", "title": "Person Re-Identification With A Joint Learning CNN Network And A New Global Loss Function", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551553"]}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "781f4b1732cffc30f315eff94d53965a8fd9324f", "title": "Recent Advances in Deep Learning: An Overview", "addresses": [{"name": "Chittagong University of Engineering and Technology", "source_name": "Chittagong University of Engineering and Technology", "street_adddress": "Shaheed Tareq Huda Hall, Goal Chattar, \u099a\u099f\u09cd\u099f\u0997\u09cd\u09b0\u09be\u09ae, \u099a\u099f\u09cd\u099f\u0997\u09cd\u09b0\u09be\u09ae \u099c\u09c7\u09b2\u09be, \u099a\u099f\u09cd\u099f\u0997\u09cd\u09b0\u09be\u09ae \u09ac\u09bf\u09ad\u09be\u0997, 4349, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "22.46221665", "lng": "91.96942263", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08169.pdf"], "doi": []}, {"id": "3f69a9ef0f98a3936bc905e792cfe8a7d313b565", "title": "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08402.pdf"], "doi": []}, {"id": "3b3686f87f9a22db2bda99cb279c817e7f8a001b", "title": "Person re-identification method based on CNN and manually-selected feature fusion", "addresses": [{"name": "Guilin University of Electronic Technology Guangxi Guilin", "source_name": "Guilin University of Electronic Technology Guangxi Guilin", "street_adddress": "\u6842\u6797\u7535\u5b50\u79d1\u6280\u5927\u5b66\u91d1\u9e21\u5cad\u6821\u533a, 1\u53f7, \u91d1\u9e21\u8def, \u4e03\u661f\u533a, \u9ec4\u83ba\u5ca9\u6751, \u4e03\u661f\u533a, \u6842\u6797\u5e02, \u5e7f\u897f\u58ee\u65cf\u81ea\u6cbb\u533a, 541004, \u4e2d\u56fd", "lat": "25.28739920", "lng": "110.33242770", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393401", "http://doi.org/10.1109/FSKD.2017.8393401"]}, {"id": "a34f8768b10d928aa4f4105afb971819c26a2219", "title": "Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485730"]}, {"id": "f89e5b1f61b221c7b00db55b64239a28f8ba9fe0", "title": "Ensemble Learning-Based Person Re-identification with Multiple Feature Representations", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f89e/5b1f61b221c7b00db55b64239a28f8ba9fe0.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "title": "A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410791"]}, {"id": "7af4ee644a0b4269a080fc491f443b32d6930bff", "title": "Deep Multi-View Feature Learning for Person Re-Identification", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "UBTECH Robotics, Shenzhen, China", "source_name": "UBTECH Robotics, Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7979595", "http://doi.org/10.1109/TCSVT.2017.2726580"]}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "411278b73afedca6976f02a8d3a38cdec3337f87", "title": "Cross-view projective dictionary learning for person re-identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ijcai.org/Proceedings/15/Papers/305.pdf", "http://www.ijcai.org/Proceedings/15/Papers/305.pdf"], "doi": ["http://ijcai.org/Abstract/15/305"]}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "title": "Attributes co-occurrence pattern mining for video-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078469", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078469", "http://doi.org/10.1109/AVSS.2017.8078469"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "e7d840cf207802918e5b09af0a650b8f38f824a8", "title": "Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03989.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc", "title": "Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory", "addresses": [{"name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "source_name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "street_adddress": "Zoumaliang Rd, Banan Qu, Chongqing Shi, China", "lat": "29.42475500", "lng": "106.53683700", "type": "edu", "country": "China"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451174", "http://doi.org/10.1109/ICIP.2018.8451174"]}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "c87f7ee391d6000aef2eadb49f03fc237f4d1170", "title": "A real-time and unsupervised face Re-Identification system for Human-Robot Interaction", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1804.03547.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "c8c60abb7cef001213d951d041e5f03042de0df5", "title": "Person re-identification with deep dense feature representation and Joint Bayesian", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296945", "http://doi.org/10.1109/ICIP.2017.8296945"]}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "84f047ff1665f7fdb7653047caf4d43c2c9576c2", "title": "Person re-identification with pre-trained deep learning models and attribute correlations", "addresses": [{"name": "University of Information Technology", "source_name": "Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam", "street_adddress": "Khu ph\u1ed1 6 P, Vietnam", "lat": "10.87030000", "lng": "106.80345130", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886726"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "fccd0406749aecf76741460de7499689ebf4c676", "title": "Integrating Egocentric Videos in Top-View Surveillance Videos: Joint Identification and Temporal Alignment", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fccd/0406749aecf76741460de7499689ebf4c676.pdf"], "doi": []}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "589d06db45e2319b29fc96582ea6c8be369f57ed", "title": "Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/589d/06db45e2319b29fc96582ea6c8be369f57ed.pdf"], "doi": []}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "61f56afc7713ebfacfe382d1824966cb9b967d34", "title": "An Ensemble of Invariant Features for Person Reidentification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Huawei Research and Development, Santa Clara, CA", "source_name": "Huawei Research and Development, Santa Clara, CA, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779129", "http://doi.org/10.1109/TCSVT.2016.2637818"]}, {"id": "a89c12bae45ec11742c50261d6e2505272369d41", "title": "Foreground Gated Network for Surveillance Object Detection", "addresses": [{"name": "Alibaba Group, Hangzhou, China", "source_name": "Alibaba Group, Hangzhou, China", "street_adddress": "Alibaba Group, \u4e94\u5e38\u8857\u9053, \u4f59\u676d\u533a (Yuhang), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, \u4e2d\u56fd", "lat": "30.28106540", "lng": "120.02139087", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Zhejiang University Embedded System Engineering Research Center", "source_name": "Ministry of Education of China, Zhejiang University Embedded System Engineering Research Center", "street_adddress": "Zhiquan Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310000", "lat": "30.26182300", "lng": "120.12222400", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Zhejiang Provincial Key Laboratory for Network Multimedia Technologies", "source_name": "Zhejiang Provincial Key Laboratory for Network Multimedia Technologies", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499396", "http://doi.org/10.1109/BigMM.2018.8499396"]}, {"id": "b7bc6a2dfe99668457b67007400f5ab760386d0c", "title": "A Siamese inception architecture network for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0843-5"]}, {"id": "89198580f18cad7f62393732868a977ffae57917", "title": "Person re-identification by distance metric learning to discrete hashing", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532465", "http://doi.org/10.1109/ICIP.2016.7532465"]}, {"id": "a6bc69831dea3efc5804b8ab65cf5a06688ddae0", "title": "Crossing Generative Adversarial Networks for Cross-View Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01760.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "21123fde70a1b2614fb4485d9ce786d2cc85a1ea", "title": "Graph regularized low-rank matrix recovery for robust person re-identification", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["http://mml.citi.sinica.edu.tw/papers/ICIP_2015_Tsai.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351689", "http://doi.org/10.1109/ICIP.2015.7351689"]}, {"id": "6b7e552ca66fd3235e99115d6f072061b9ada181", "title": "Extensive Comparison of Visual Features for Person Re-identification", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007741"]}, {"id": "d4b34e327b62b7f3fbddfc403e4642b17245a3b7", "title": "Partial Person Re-identification with Alignment and Hallucination", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09162.pdf"], "doi": []}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "b85e71d4e68588211c877fff8cda267b3a6bb6c9", "title": "End-to-end learning of motion , appearance and interaction cues for multi-target tracking", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b85e/71d4e68588211c877fff8cda267b3a6bb6c9.pdf"], "doi": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "058d50af5456665dccda2b41b17bdfead72bdec8", "title": "Learning Non-Metric Visual Similarity for Image Retrieval", "addresses": [{"name": "Aston University", "source_name": "Aston University", "street_adddress": "Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK", "lat": "52.48620785", "lng": "-1.88849915", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01353.pdf"], "doi": []}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "1adbcca753c7b4f22cf3d6bc3a9579573d4d5846", "title": "Sample-Specific SVM Learning for Person Re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Omron Corporation", "source_name": "Omron corporation", "street_adddress": "3709 Ohio Ave, St. Charles, IL 60174, USA", "lat": "41.91256730", "lng": "-88.26993760", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Sample-Specific_SVM_Learning_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Sample-Specific_SVM_Learning_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780512", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.143", "http://doi.org/10.1109/CVPR.2016.143"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "34b8e675d4651db45e484da34f3c415c60ef3ea2", "title": "DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01220.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "80be8624771104ff4838dcba9629bacfe6b3ea09", "title": "Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890265.pdf", "http://www.ifp.illinois.edu/~moulin/Papers/ECCV14-jiwen.pdf", "http://www.ntu.edu.sg/home/wanggang/LuECCV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944673", "http://doi.org/10.1109/TIP.2017.2713940", "https://www.ncbi.nlm.nih.gov/pubmed/28613171", "https://www.wikidata.org/entity/Q50434985"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "c1660197f94786364e624efed4ba03c0d8ab6161", "title": "Robust dictionary learning with graph regularization for unsupervised person re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5202-z"]}, {"id": "b54ed594267ead88b99bed3230e0453f54d00873", "title": "Human Recognition by Appearance and Gait", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768818040035"]}, {"id": "0e85b9c05d6f6d190f7c0434e3356a8bfb97bdec", "title": "Person Re-Identification with Vision and Language", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545582"]}, {"id": "ebe8408052d9bf05dc2007d01559dda6129840eb", "title": "Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05769.pdf"], "doi": []}, {"id": "5025a2f2a2d53db48f9504be93358c3ec5261646", "title": "Dual Channel Gradient feature for person re-identification", "addresses": [{"name": "PLA University of Science & Technology", "source_name": "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7752447", "http://doi.org/10.1109/WCSP.2016.7752447"]}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "82430878b6ee7a427ac389b51407599909576084", "title": "Saliency preprocessing for person re-identification images", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001941.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472015", "http://doi.org/10.1109/ICASSP.2016.7472015"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "ac36284cfa95e613f9e726cd017a5dca207fe633", "title": "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7859378", "http://doi.org/10.1109/TIP.2017.2672440", "https://www.ncbi.nlm.nih.gov/pubmed/28237930", "https://www.wikidata.org/entity/Q53478605"]}, {"id": "d1d90bbc6bb4fdb0d928ff74bfd8671aaafa070e", "title": "Neural Person Search Machines", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06777.pdf"], "doi": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "b42a8f2703867639f7ce68229b0916015878c5eb", "title": "Evaluating features for person re-identification", "addresses": [{"name": "PLA University of Science & Technology", "source_name": "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888255"]}, {"id": "14d72dc9f78d65534c68c3ed57305f14bd4b5753", "title": "Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Yan_Exploiting_Multi-Grain_Ranking_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237330", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.68", "http://doi.org/10.1109/ICCV.2017.68"]}, {"id": "1977d67a8db78d483a25c9fc6ad2ffad8d80c41c", "title": "A Unsupervised Person Re-identification Method Using Model Based Representation and Ranking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2807399"]}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "64c1d9a031ec0e6785dc92edc0d00cc0802e32b0", "title": "Key Person Aided Re-identification in Partially Ordered Pedestrian Set", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.10017.pdf"], "doi": []}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "16701e3cbd43b52e32d567649a194245dcd31829", "title": "Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1670/1e3cbd43b52e32d567649a194245dcd31829.pdf"], "doi": []}, {"id": "d56a262763c84d2bb21e9ea40f2517610f61d05f", "title": "Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "addresses": [{"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126708"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "631c4ca00eaa65b801c63d32c0f564e974009ddd", "title": "Self-attention Learning for Person Re-identification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/631c/4ca00eaa65b801c63d32c0f564e974009ddd.pdf"], "doi": []}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "30666d175714e29f03a2a649955e714b0cfd88cc", "title": "Two-stream person re-identification with multi-task deep neural networks", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0915-1"]}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "7b51e4cf4f38c581d95b2c07457fc9a76058ddbf", "title": "Part-based Multi-stream Model for Vehicle Searching", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546191"]}, {"id": "6b6207c49c7b41b171388fc2228304de148f0a96", "title": "Person Search by Multi-Scale Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08582.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3", "title": "Unifying Identification and Context Learning for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03084.pdf"], "doi": []}, {"id": "443acd268126c777bc7194e185bec0984c3d1ae7", "title": "Retrieving relative soft biometrics for semantic identification", "addresses": [{"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://eprints.soton.ac.uk/402985/1/icpr-16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900105", "http://doi.org/10.1109/ICPR.2016.7900105"]}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c", "title": "Cross-domain attribute representation based on convolutional neural network", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07295.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "d348197e47a8e081bd3f12a22bc52b055ecd8302", "title": "Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07085.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "de46fbad976ec6f02e53c70c1f92b4beb4d84f35", "title": "Online Cross-Modal Adaptation for Audio\u2013Visual Person Identification With Wearable Cameras", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2016_THMS_OnLineCrossModalAdaptation_Brutti_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7742962", "http://doi.org/10.1109/THMS.2016.2620110"]}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "b55914fe572bd2449234eb05c300b32ad94e97d8", "title": "Person re-identification using multiple features fusion", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846660"]}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "paper": {"key": "cuhk_campus_03", "name": "CUHK03 Campus", "title": "Human Reidentification with Transferred Metric Learning", "year": "2012"}, "address": {}, "citations": [{"id": "359c2483195a3217095dcf8738abe47181a0fc94", "title": "Person Reidentification via Discrepancy Matrix and Matrix Metric", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://wangzwhu.github.io/home/slides-nj-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8059849", "http://doi.org/10.1109/TCYB.2017.2755044", "https://www.ncbi.nlm.nih.gov/pubmed/28991756"]}, {"id": "79931447522097044cbc89e4bc2f69dd6e8f0e58", "title": "Person Re-identification by Multi-hypergraph Fusion", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7560601", "http://doi.org/10.1109/TNNLS.2016.2602082", "https://www.ncbi.nlm.nih.gov/pubmed/28113383"]}, {"id": "e9e04b36f88199a492db6ce7ffdb4e76dc7cc966", "title": "An Enhanced Deep Convolutional Neural Network for Person Re-Identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing", "source_name": "Academy of Broadcasting Science, Beijing", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551570"]}, {"id": "3fd7bfd90f0dfc3369bfe718e27aff30cf268c23", "title": "Learning Mid-level Filters for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Learning_Mid-level_Filters_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhaoOWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909420", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.26", "http://doi.org/10.1109/CVPR.2014.26"]}, {"id": "808ed09fc6d56aa221e95e82d3ed37a9cce1da88", "title": "Datum-Adaptive Local Metric Learning for Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001603", "http://doi.org/10.1109/LSP.2014.2387847"]}, {"id": "b15cfd1e2f46a943328fa32fe0a571b8f7073b9f", "title": "Person Re-Identification by Deep Learning Muti-Part Information Complementary", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451645", "http://doi.org/10.1109/ICIP.2018.8451645"]}, {"id": "b33bbdac96c3540ebb07c3655643e6badc368c59", "title": "MultiMedia Modeling", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Shanghai Jitotong University", "source_name": "Shanghai Jitotong University, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "University of Newcastle", "source_name": "University of Newcastle", "street_adddress": "University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia", "lat": "-33.35788990", "lng": "151.37834708", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-14442-9"]}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "ac5c5be6234c459fedea5d66fd34e916e4730949", "title": "Body structure based triplet Convolutional Neural Network for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001772.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952461", "http://doi.org/10.1109/ICASSP.2017.7952461"]}, {"id": "754ee07789f6ff28fc121bb9f771895e971ac28c", "title": "Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01719.pdf"], "doi": []}, {"id": "b58f3fb5bd3e36990a7c6a2f8cbb67edeb2ae764", "title": "Person Re-Identification by Optimally Organizing Multiple Similarity Measures", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}, {"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107485", "http://doi.org/10.1109/ACCESS.2017.2771138"]}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "454f403857e487d6a885180e0e0f7216a342fb0e", "title": "Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/454f/403857e487d6a885180e0e0f7216a342fb0e.pdf"], "doi": []}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "d1ba33106567c880bf99daba2bd31fe88df4ecba", "title": "Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03160.pdf"], "doi": []}, {"id": "85cbeac58cb0a6010836ddd8b2d093eabd31767c", "title": "Distance Aggregation based Score Fusion for improving person re-identification", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943446", "http://doi.org/10.1109/THS.2017.7943446"]}, {"id": "76e48cd3b4b25cdb6c094ff660ed8e43be1e2f34", "title": "What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07074.pdf"], "doi": []}, {"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "15d99a8ebf09304916a082a4effdb215ff0a54f0", "title": "Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451494", "http://doi.org/10.1109/ICIP.2018.8451494"]}, {"id": "aa8447c65f93670820124e0a99a2b5e3536700be", "title": "Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489698", "http://doi.org/10.1109/IJCNN.2018.8489698"]}, {"id": "4770f73bc3ad0097fc8cdff3a3f8feaed1060595", "title": "Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric Learning", "addresses": [{"name": "University of Technology, Australia", "source_name": "Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6838984", "http://doi.org/10.1109/TIP.2014.2331755", "https://www.ncbi.nlm.nih.gov/pubmed/24956368", "https://www.wikidata.org/entity/Q46605898"]}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "00a6d711f2bf7974384d2f4b5e61d0bbc493a6b7", "title": "Adaptive Margin Nearest Neighbor for Person Re-Identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Collaborative Innovation Center of Geospatial Technology, Wuhan, China", "source_name": "Collaborative Innovation Center of Geospatial Technology, Wuhan, China", "street_adddress": "Yinghua Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China", "lat": "30.44986200", "lng": "114.26988700", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/00a6/d711f2bf7974384d2f4b5e61d0bbc493a6b7.pdf"], "doi": []}, {"id": "16a61b9b213cf5d9020a3cfdf3c1575b1fac8c07", "title": "Dense invariant feature based support vector ranking for person re-identification", "addresses": [{"name": "Anhui University, Hefei, China", "source_name": "Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University Hefei 230039, China", "street_adddress": "327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.85562500", "lng": "117.27557000", "type": "gov", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418284", "http://doi.org/10.1109/GlobalSIP.2015.7418284"]}, {"id": "f2843da00dc202eb8748b1b690f7b5dd0849af20", "title": "Regularized Bayesian Metric Learning for Person Re-identification", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f284/3da00dc202eb8748b1b690f7b5dd0849af20.pdf"], "doi": []}, {"id": "ad01687649d95cd5b56d7399a9603c4b8e2217d7", "title": "Investigating Open-World Person Re-identification Using a Drone", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ad01/687649d95cd5b56d7399a9603c4b8e2217d7.pdf"], "doi": []}, {"id": "9785429538389146c8061ec856e74e957a246f2d", "title": "DARI: distance metric and representation integration for person verification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04377.pdf"], "doi": []}, {"id": "76977a8e7afd645e83d3e5aaca47a44922188d47", "title": "Reference-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_avss.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/Reference-Based%20Person%20Re-Identification13.pdf", "http://www.ee.ucr.edu/~lan/papers/AVSS13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636647", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636647", "http://doi.org/10.1109/AVSS.2013.6636647"]}, {"id": "37d7cb06c0a1e632dedcc1f23db22cbdc130e6aa", "title": "Pyramid Person Matching Network for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1803.02547.pdf"], "doi": []}, {"id": "3c975c6af75d62336b6d90d2c920f82021726f68", "title": "A verify-correct approach to person re-identification based on Partial Least Squares signatures", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2015", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2015/06/paper_2015_ICB_Prado.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139088", "http://doi.org/10.1109/ICB.2015.7139088"]}, {"id": "38b55d95189c5e69cf4ab45098a48fba407609b4", "title": "Locally Aligned Feature Transforms across Views", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619305"]}, {"id": "1b93698c1784db4abf72b500e51d4806e6430522", "title": "Re-id: Hunting Attributes in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1b93/698c1784db4abf72b500e51d4806e6430522.pdf"], "doi": []}, {"id": "0994b8a23880be0b28c0c4b214b6d4ae91d1182f", "title": "Bi-directional superpixel earth mover's distance for training free person re-identification", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8096040", "http://doi.org/10.1109/ICDSP.2017.8096040"]}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "712590793270e2f115fbd8891314a413047fccc3", "title": "Late Fusion in Part-based Person Re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3056640"]}, {"id": "974b9f0af3af675c092b96e7ac68e391cffdcf49", "title": "Person Re-identification Using Data-Driven Metric Adaptation", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/974b/9f0af3af675c092b96e7ac68e391cffdcf49.pdf"], "doi": []}, {"id": "498af0c92b41f02ae328857020bc5e01df59c252", "title": "Contextual Similarity Regularized Metric Learning for person re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899937", "http://doi.org/10.1109/ICPR.2016.7899937"]}, {"id": "6782b148bd2de66cd73f3d69f481d40cce866fff", "title": "Robust relationship learning to illumination in a camera network", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8330588"]}, {"id": "e74cc004dc22ac30ddb77b6750aa326bbd41082f", "title": "Person re-identification based on deep multi-instance learning", "addresses": [{"name": "MTA SZTAKI Institute for Computer Science and Control", "source_name": "MTA SZTAKI Institute for Computer Science and Control", "street_adddress": "Budapest, Kende u. 13, 1111 Hungary", "lat": "47.47828280", "lng": "19.05210750", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081471"]}, {"id": "0843ec2b76ef9401e60654fbfe71bac44ed19fae", "title": "A Two-Stage Approach for Bag Detection in Pedestrian Images", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0843/ec2b76ef9401e60654fbfe71bac44ed19fae.pdf"], "doi": []}, {"id": "7f45292369a5214984b4a15c65330ada474b0150", "title": "Person re-identification with spatial appearance group feature", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7568919"]}, {"id": "0d754504848d071936a5d603c8b3db0c48a3da6d", "title": "DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7502111", "http://doi.org/10.1109/TCSVT.2016.2586851"]}, {"id": "18ab9be9af94f2bf4d3828161ffb232d1462526a", "title": "SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Barman_SHaPE_A_Novel_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237389", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.127", "http://doi.org/10.1109/ICCV.2017.127"]}, {"id": "e23a75430f777e982b0715b6f8a048d4bbfea438", "title": "Maximum Margin Metric Learning over Discriminative Nullspace for Person Re-identification", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10908.pdf"], "doi": []}, {"id": "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "title": "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/PengEtAl_CVPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.146", "http://doi.org/10.1109/CVPR.2016.146"]}, {"id": "8edcd935362c899e630349784e4ff8adb3a69cdc", "title": "Person re-identification using deformable patch metric learning", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20160304002207/Person-Re-identification-using-Deformable-Patch-Metric-Learning-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477590", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477590", "http://doi.org/10.1109/WACV.2016.7477590"]}, {"id": "611849b55ef6b164f21e52cefd05300041e72152", "title": "A MultiTask Deep Network for Person Re-Identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6118/49b55ef6b164f21e52cefd05300041e72152.pdf"], "doi": []}, {"id": "a855b07ab632ef67b0538325acc34e38f000245d", "title": "Deep neural network for person re-identification in a non-overlapping camera network", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217574", "http://doi.org/10.1109/ICCAIS.2017.8217574"]}, {"id": "c8c714c100a754baf7d86d240ec35207fcf84b06", "title": "Person Re-identification Meets Image Search.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02171.pdf"], "doi": []}, {"id": "ff8c21c13c9f442e6cebe405be4a4ce09a7fb98a", "title": "Background removal for improving saliency-based person re-identification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7758077", "http://doi.org/10.1109/KSE.2016.7758077"]}, {"id": "a9be351910ad6b1819764fbaf04caa69f27548a2", "title": "Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera Person Reidentification", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "University of Sheffield", "source_name": "The University of Sheffield", "street_adddress": "University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK", "lat": "53.38152480", "lng": "-1.48068143", "type": "edu", "country": "United Kingdom"}, {"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://ueaeprints.uea.ac.uk/62234/1/Accepted_manuscript.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7456248", "http://doi.org/10.1109/TCSVT.2016.2555739"]}, {"id": "6701efa7f715b3c296843b8ff5414a6610711cf9", "title": "Semi-automatic image and video annotation system for generating ground truth information", "addresses": [{"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8343233", "http://doi.ieeecomputersociety.org/10.1109/ICOIN.2018.8343233", "http://doi.org/10.1109/ICOIN.2018.8343233"]}, {"id": "7969cc315bbafcd38a637eb8cd5d45ba897be319", "title": "An enhanced deep feature representation for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07807.pdf"], "doi": []}, {"id": "063f78c20405158d87114a8aef1bb7557230bd89", "title": "An improved deep learning architecture for person re-identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://medialab.sjtu.edu.cn/teaching/CV/hw/related_papers/6_reid.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Ahmed_An_Improved_Deep_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_062.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_062_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Ahmed_An_Improved_Deep_2015_CVPR_paper.pdf", "http://www.merl.com/publications/docs/TR2015-076.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299016", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299016", "http://doi.org/10.1109/CVPR.2015.7299016"]}, {"id": "2e59865aa2ddcecaf9275abcad9b134558c686c2", "title": "Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf", "http://www4.comp.polyu.edu.hk/~cslzhang/paper/cvpr16/SIR-CIR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780513", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.144", "http://doi.org/10.1109/CVPR.2016.144"]}, {"id": "19bcd3bd41825a67f48db701a68030c5e6763152", "title": "Partial Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengEtAl_ICCV2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410888", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.531", "http://doi.org/10.1109/ICCV.2015.531"]}, {"id": "09d78009687bec46e70efcf39d4612822e61cb8c", "title": "Consistent Re-identification in a Camera Network", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c27f/099e6e7e3f7f9979cbe9e0a5175fc5848ea0.pdf"], "doi": []}, {"id": "1bcf142e3b2f5a7ade185f220ee031657203c293", "title": "Data-augmentation for reducing dataset bias in person re-identification", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.qub.ac.uk/sites/CSIT/InnovationatCSIT/ResearchGroups/IntelligentSurveillanceSystems/Data-AugmentationforReducingDatasetBiasinPersonRe-identification/Filetoupload,525207,en.pdf", "https://core.ac.uk/download/pdf/33587140.pdf", "https://pure.qub.ac.uk/portal/files/16612194/AMMDS_camera_ready_v2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301739", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301739", "http://doi.org/10.1109/AVSS.2015.7301739"]}, {"id": "0a103350842cca3794a784fb04ed70ca78e7f29d", "title": "A method of multi-criteria set recognition based on deep feature representation", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5385-3"]}, {"id": "a6840267e169382d3c5ab2645f6da60dd842d6ac", "title": "Person Re-Identification via Unsupervised Transfer of Learned Visual Representations", "addresses": [{"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131923"]}, {"id": "6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3", "title": "DeepReID: Deep Filter Pairing Neural Network for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909421"]}, {"id": "bf976d746b1223a60e93f6fcb1321e433eda94f6", "title": "Robust Color Invariant Model for Person Re-Identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46654-5_76"]}, {"id": "e9b72a152928f683aad5f81347777534b6715e67", "title": "Person re-identification with mutual re-ranking", "addresses": [{"name": "University of Information Technology", "source_name": "Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam", "street_adddress": "Khu ph\u1ed1 6 P, Vietnam", "lat": "10.87030000", "lng": "106.80345130", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s40595-016-0093-x"]}, {"id": "274e8c0c513ff82713f2f332694cf2b29b7c3bb1", "title": "0 Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/274e/8c0c513ff82713f2f332694cf2b29b7c3bb1.pdf"], "doi": []}, {"id": "e9835bb131287d711e5e5435a5df8ce5302acb31", "title": "Person Re-identification by Unsupervised ` 1 Graph Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e983/5bb131287d711e5e5435a5df8ce5302acb31.pdf"], "doi": []}, {"id": "64e4d1152cd43193f2f9a33c0fa2800b1aab1d55", "title": "A codebook of brightness transfer functions for improved target re-identification across non-overlapping camera views", "addresses": [{"name": "Iowa State University", "source_name": "Iowa State University", "street_adddress": "Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA", "lat": "42.02791015", "lng": "-93.64464415", "type": "edu", "country": "United States"}, {"name": "Syracuse University", "source_name": "Syracuse University", "street_adddress": "Syracuse, NY, USA", "lat": "43.03915340", "lng": "-76.13511580", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308625", "http://doi.org/10.1109/GlobalSIP.2017.8308625"]}, {"id": "6c572562a906f6c94d8f2e91895c161cbb0fa4cc", "title": "Multi-Channel Pyramid Person Matching Network for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02558.pdf"], "doi": []}, {"id": "35bddbae441ae8d5f381b3aa343d12eae3196efa", "title": "Person re-identification by discriminant analytical least squares metric learning", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "Guangzhou University", "source_name": "Guangzhou University", "street_adddress": "\u5e7f\u5dde\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u897f\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u5357\u6751\u9547, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04436505", "lng": "113.36668458", "type": "edu", "country": "China"}, {"name": "UBTECH Robotics, Shenzhen, People's Republic of China", "source_name": "UBTECH Robotics, Shenzhen, People\u2019s Republic of China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0917-z"]}, {"id": "592bbab1e073908c75584879bc00911e7246aebf", "title": "Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/06/FG2017_presentation-Julio.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961756", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.133", "http://doi.org/10.1109/FG.2017.133"]}, {"id": "5da0e870d1f9161989ee9110c932477b3030d501", "title": "Low-resolution person recognition using image downsampling", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986904", "http://doi.org/10.23919/MVA.2017.7986904"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "4679f58139f1be2aab2598378555f277bc299d2a", "title": "Online learning of dynamic multi-view gallery for person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3015-5"]}, {"id": "ccf934a335793fe416b0115183783d2c355b64ed", "title": "Query Based Adaptive Re-ranking for Person Re-identification", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ccf9/34a335793fe416b0115183783d2c355b64ed.pdf"], "doi": []}, {"id": "3147bb14bf4228735ecf4bc2a421590b3de86c0f", "title": "Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Liao_Efficient_PSD_Constrained_ICCV_2015_paper.pdf", "http://www.cbsr.ia.ac.cn/users/scliao/papers/Liao-ICCV15-MLAPG.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Liao_Efficient_PSD_Constrained_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410777", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.420", "http://doi.org/10.1109/ICCV.2015.420"]}, {"id": "ec85c3f57594afa77a8b0e516035550ef6f79db4", "title": "Support Neighbor Loss for Person Re-Identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06030.pdf"], "doi": []}, {"id": "67538df7950dbba0ab7885a23b7abf6f56f39537", "title": "Person Re-identification by Salience Matching", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhao_Person_Re-identification_by_2013_ICCV_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhaoOWiccv13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751425", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.314", "http://doi.org/10.1109/ICCV.2013.314"]}, {"id": "16e5d7b733086e0a7dbebc7218f80da53bd71646", "title": "Constraint patch matching for faster person re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947703", "http://doi.org/10.1109/ISBA.2017.7947703"]}, {"id": "6a2ecd18bba2667cefe1f9c3689c7cbe0380a276", "title": "An Enhanced Metric Learning for Person Reidentification", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455774"]}, {"id": "9b17f368d038a7d7e4304089c0270e81f0b4eb6c", "title": "Discriminative Structural Metric Learning for Person Reidentification in Visual Internet of Things", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8022862"]}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "1ce69b2ab1821b7434c099c2c2d65a2cef878645", "title": "Semi-supervised Region Metric Learning for Person Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1075-5"]}, {"id": "10952c8fed04a5847192decdecfeee03c9ea997f", "title": "Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification", "addresses": [{"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8469088", "http://doi.org/10.1109/TIP.2018.2870941", "https://www.ncbi.nlm.nih.gov/pubmed/30235128"]}, {"id": "628aea69160e273ae3b3ae982deb11e9089d0336", "title": "Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.pkuml.org/wp-content/uploads/2013/07/2017_TIP_DFC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016659", "http://doi.org/10.1109/TIP.2017.2745203", "https://www.ncbi.nlm.nih.gov/pubmed/28858800", "https://www.wikidata.org/entity/Q38599921"]}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "813cc31130ceab1668da1ac6646eea4b6a4be6b6", "title": "A new deep representation for large-scale scene classification", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Zhejiang Huayun, Zhejiang, China", "source_name": "Zhejiang Huayun, Zhejiang, China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5322-5"]}, {"id": "1fbc81959c49d04e292ef4cfc68dd431105cdd83", "title": "Enhanced Deep Feature Representation for Person Search", "addresses": [{"name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "source_name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}, {"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-7305-2_28"]}, {"id": "2dbff0b15221234e00bec4a00b4897c631904fcf", "title": "Learning Efficient Image Representation for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02319.pdf"], "doi": []}, {"id": "0a85bdff552615643dd74646ac881862a7c7072d", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299113"]}, {"id": "57c5501d9937fa43291dbd3f95288aded8b2dca1", "title": "Groups Re-identification with Temporal Context", "addresses": [{"name": "INRIA, Sophia Antipolis, France", "source_name": "INRIA, Sophia Antipolis, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078978"]}, {"id": "febff0f6faa8dde77848845e4b3e6f6c91180d33", "title": "Embedding Deep Metric for Person Re-identication A Study Against Large Variations", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00137.pdf"], "doi": []}, {"id": "faffbf70dbd094346bad9b8a4ddeb973c51a70a9", "title": "Cross-Scenario Transfer Person Reidentification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://xiaojuanwang.com/Slides/CrossScenarioTransferReid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7137647", "http://doi.org/10.1109/TCSVT.2015.2450331"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "26e39719a8dd2a554a825dba86fb244dcaaac4aa", "title": "Person re-identification via rich color-gradient feature", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/121800/4/copy+of+paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552869", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552869", "http://doi.org/10.1109/ICME.2016.7552869"]}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "b866bafa296ae836726a8a1df78639ad9533623b", "title": "Occlusion detector using convolutional neural network for person re-identification", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217564", "http://doi.org/10.1109/ICCAIS.2017.8217564"]}, {"id": "6448acca3bf4d14ad44756974a6486a317095a54", "title": "Deep multi-instance learning for end-to-end person re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4896-2"]}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "9ab57be9cd26652fcc02ce994ee53ede05cfa79c", "title": "Online learning on incremental distance metric for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7090533", "http://doi.org/10.1109/ROBIO.2014.7090533"]}, {"id": "3441edf456e25b222d7b237b96faa7e3e00daaf7", "title": "Person re-identification via adaboost ranking ensemble", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ucassdl.cn/publication/icip-lizhaoju.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533165", "http://doi.org/10.1109/ICIP.2016.7533165"]}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "de02043fd479a2bcf23d30ab4496cc4e0d84f699", "title": "Zero-Shot Person Re-identification via Cross-View Consistency", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346474", "http://doi.org/10.1109/TMM.2015.2505083"]}, {"id": "700bafb57112febd5d5712f474b0ecc39379320c", "title": "Deep Deformable Patch Metric Learning for Person Re-Identification", "addresses": [{"name": "Disney Research, Pittsburgh, PA, USA", "source_name": "Disney Research, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20171103171212/Deep-Deformable-Patch-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076890", "http://doi.org/10.1109/TCSVT.2017.2765242"]}, {"id": "aa2deffe0b56f7b9b8cdd69f5b3ee6bb79801797", "title": "Inter-Camera Person Tracking in Non-overlapping Networks: Re-identification Protocol and On-line Update", "addresses": [{"name": "Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka", "source_name": "Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka", "street_adddress": "Electrical Engineering Depratment, Indian Institute of Science, Bangalore, Javanica Marg, Mathikere, Bengaluru, Karnataka 560012, India", "lat": "13.01498720", "lng": "77.57103030", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131912"]}, {"id": "d0d148c5124d53152e93d25ed91523dc7d83a248", "title": "Adaptive Metric Learning and Probe-Specific Reranking for Person Reidentification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873304", "http://doi.org/10.1109/LSP.2017.2679208"]}, {"id": "f3084f7f60fe087c66606f21a1df6de890feeea8", "title": "Not All Negatives Are Equal: Learning to Track With Multiple Background Clusters", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583707", "http://doi.org/10.1109/TCSVT.2016.2615518"]}, {"id": "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "title": "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", "addresses": [{"name": "Cisco Systems, Inc., CA, USA", "source_name": "Cisco Systems, Inc., CA, USA", "street_adddress": "101 N Brand Blvd Suite 1700, Glendale, CA 91203, USA", "lat": "34.14683580", "lng": "-118.25544120", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243217"]}, {"id": "8e346f6cb75fa50e0c4e8fee4f198788b91569e1", "title": "Collaborative Networks for Person Verification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132385"]}, {"id": "03babadaaa7e71d4b65203e27e8957db649155c6", "title": "Distance Metric Learning via Iterated Support Vector Machines", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Educational Testing Service", "source_name": "Research Division, Educational Testing Service, Princeton, NJ, USA", "street_adddress": "Research Rd, Princeton, NJ 08540, USA", "lat": "40.34946320", "lng": "-74.71481500", "type": "company", "country": "United States"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.linliang.net/wp-content/uploads/2017/07/TIP_DistanceMetric.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7973168", "http://doi.org/10.1109/TIP.2017.2725578", "https://www.ncbi.nlm.nih.gov/pubmed/28708554"]}, {"id": "cde66b2f8c7f2e8b808073cc82f49fecfa0da04d", "title": "QRKISS: A Two-Stage Metric Learning via QR-Decomposition and KISS for Person Re-Identification", "addresses": [{"name": "Nanjing Agricultural University", "source_name": "College of Information Science and Technology, Nanjing Agricultural University, Nanjing, China", "street_adddress": "Jinling Rd, Xuanwu Qu, Nanjing Shi, Jiangsu Sheng, China, 210014", "lat": "32.03341000", "lng": "118.84257700", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University)", "source_name": "Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), Fuzhou, China", "street_adddress": "1 Wenxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.06470400", "lng": "119.16911600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9820-x"]}, {"id": "160da454cc64c1117c3a164b9bf375d73fb81720", "title": "Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00370.pdf"], "doi": []}, {"id": "82485c89a6b48077b03b65a774fd5768ea768d4d", "title": "Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03112.pdf"], "doi": []}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "0c69b1e916476bbdd8b1b38bbb1aa877709a0f28", "title": "Deep Siamese Network with Multi-level Similarity Perception for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University & Alibaba Group", "source_name": "Shanghai Jiao Tong University & Alibaba Group, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123452"]}, {"id": "2b52292f09451cf4c803b52c2995b51d17e96153", "title": "Body-structure based feature representation for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7178198", "http://doi.org/10.1109/ICASSP.2015.7178198"]}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "9125903bf7aa68920fdca8296f703b9013a877ed", "title": "Deep spatial pyramid for person re-identification", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170814145721/Deep-Spatial-Pyramid-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078492", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078492", "http://doi.org/10.1109/AVSS.2017.8078492"]}, {"id": "37ba12271d09d219dd1a8283bc0b4659faf3a6c6", "title": "Domain transfer for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2510658"]}, {"id": "51144f331aa9310e4fd9b4dab00e4baf6fba7ef3", "title": "Person re-identification using CNN features learned from combination of attributes", "addresses": [{"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://www.i.kyushu-u.ac.jp/~matsukawa/ReID_files/icpr2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900000", "http://doi.org/10.1109/ICPR.2016.7900000"]}, {"id": "8520a3731e66304cac8981e97127211409b5089e", "title": "Robust Discriminative Subspace Learning for Person Reidentification", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540416"]}, {"id": "779a74a12d73d5b72c156a50ff14f29fb8b09f0a", "title": "Graph Correspondence Transfer for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00242.pdf"], "doi": []}, {"id": "090dd649d9873282cfb7918fc12d11cb673dc15e", "title": "Person Reidentification Based on Elastic Projections", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7896623", "http://doi.org/10.1109/TNNLS.2016.2602855", "https://www.ncbi.nlm.nih.gov/pubmed/28422688", "https://www.wikidata.org/entity/Q38830568"]}, {"id": "76ad6daa899a8657c9c17480e5fc440fda53acec", "title": "A Multi-task Deep Network for Person Re-identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05369.pdf"], "doi": []}, {"id": "e1febe25c3f678878c97bec28036c797bc5e6d0d", "title": "Cooperative multi-scale Convolutional Neural Networks for person detection", "addresses": [{"name": "Ilmenau University of Technology", "source_name": "Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany", "street_adddress": "Ilmenau, Germany", "lat": "50.68435020", "lng": "10.92547280", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727208", "http://doi.org/10.1109/IJCNN.2016.7727208"]}, {"id": "a784fd9391cc7013c618186017bbf43b806fa004", "title": "Discriminative regularized metric learning for person re-identification", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China", "source_name": "Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China", "street_adddress": "Chongqing, China", "lat": "29.43158610", "lng": "106.91225100", "type": "gov", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139075", "http://doi.org/10.1109/ICB.2015.7139075"]}, {"id": "ddca5c18415bb855e76f9f459747685ee9c23a4d", "title": "MSMCT: Multi-State Multi-Camera Tracker", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048028", "http://doi.org/10.1109/TCSVT.2017.2755038"]}, {"id": "e5a9b24056782a343ddc903aebc21e6c277a6b2d", "title": "People re-identification using two-stage transfer metric learning", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.mva-org.jp/Proceedings/2015USB/papers/15-03.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153260", "http://doi.org/10.1109/MVA.2015.7153260"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "887502ea2d8a335d8e72deb23fec2784df713b8d", "title": "Nonlinear Local Metric Learning for Person Re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05169.pdf"], "doi": []}, {"id": "2de8508b33fe3ee290f94339a2f78f373e83b21d", "title": "Multi-Level Common Space Learning for Person Re-Identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7876753", "http://doi.org/10.1109/TCSVT.2017.2680118"]}, {"id": "a46edfb0d5374fae7633b56ab767e26cc8ea25ac", "title": "Deep Multi-Metric Learning for Person Re-Identification", "addresses": [{"name": "Ministry of Education (Chongqing University)", "source_name": "Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education (Chongqing University), Chongqing, China", "street_adddress": "China, Chongqing Shi, Shapingba Qu, ChongQing DaXue, \u6c99\u6b63\u8857174\u53f7", "lat": "29.56488000", "lng": "106.46809700", "type": "gov", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486502", "http://doi.ieeecomputersociety.org/10.1109/ICME.2018.8486502", "http://doi.org/10.1109/ICME.2018.8486502"]}, {"id": "e6eda2bfec3036cf431a45fa021070ab21bb3488", "title": "Mirror Representation for Modeling View-Specific Transform in Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6ed/a2bfec3036cf431a45fa021070ab21bb3488.pdf"], "doi": []}, {"id": "5c07464391cda9440cf05c67ab5f3b2b777459d6", "title": "Person Re-Identification by Localizing Discriminative Regions", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5c07/464391cda9440cf05c67ab5f3b2b777459d6.pdf"], "doi": []}, {"id": "9963c73b03e4649959f021ef6f4fb1eac0b617d2", "title": "Person Reidentification Using Multiple Egocentric Views", "addresses": [{"name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "source_name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2017/Person%20Re-identification%20Using%20Multiple%20Egocentric%20Views.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583680", "http://doi.org/10.1109/TCSVT.2016.2615445"]}, {"id": "2b853328b37db50be2e5ddf7e6629121f607140c", "title": "Combined salience based person re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2862-4"]}, {"id": "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "title": "Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4649-2"]}, {"id": "d8c2a08673bcda9fca35972112bff8764d207764", "title": "An Asymmetric Distance Model for Cross-View Feature Mapping in Person Reidentification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://isee.sysu.edu.cn/files/resource/CVDCA.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7373616", "http://doi.org/10.1109/TCSVT.2016.2515309"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "ea00489323104d70dd43bac5e15390ec4d6dfe8f", "title": "Transfer for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea00/489323104d70dd43bac5e15390ec4d6dfe8f.pdf"], "doi": []}, {"id": "3387805b752dadfa34cb8eb63d9dc86aff49934a", "title": "Exploration of Contextual Relationships for Robust Video Analysis: Applications in Camera Networks, Bio-image Analysis and Activity Forecasting", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3387/805b752dadfa34cb8eb63d9dc86aff49934a.pdf"], "doi": []}, {"id": "bffefd41cea42f4db45e8c98b0651f74a8aa90d6", "title": "Multi-Region bilinear convolutional neural networks for person re-identification", "addresses": [{"name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "source_name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "street_adddress": "Ulitsa Nobelya, 3, Moskva, Moscow Oblast, Russia, 121205", "lat": "55.68465660", "lng": "37.34075390", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078460", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078460", "http://doi.org/10.1109/AVSS.2017.8078460"]}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "title": "Constrained Deep Metric Learning for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07545.pdf"], "doi": []}, {"id": "b8e9a328d3952755941380f9eb88072c3c1e4f74", "title": "Reranking of person re-identification by manifold-based approach", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351608", "http://doi.org/10.1109/ICIP.2015.7351608"]}, {"id": "f62d71e701c9fd021610e2076b5e0f5b2c7c86ca", "title": "Mahalanobis Distance Learning for Person Re-identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}, {"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f62d/71e701c9fd021610e2076b5e0f5b2c7c86ca.pdf"], "doi": []}, {"id": "4469d0d0ac2f6f0221dc865b132958df33faa95e", "title": "Region-Based Interactive Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://mmap.whu.edu.cn/wp-content/uploads/publications/2014/wz_2014PCM.pdf", "http://multimedia.whu.edu.cn/group/MAP/personalpage/wz_pdf/PCM2014%20V12.pdf", "http://multimedia.whu.edu.cn/group/publications/2014/wz_2014PCM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-13168-9_1", "http://www.escience.cn/system/download/74305"]}, {"id": "0f911ed7c457979200848db3974f13ed3d7457a4", "title": "Deep learning with particle filter for person re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6415-5"]}, {"id": "3f9f5a8966c035dc179a60c042b160aee2bf8f53", "title": "Deep Second-Order Siamese Network for Pedestrian Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3f9f/5a8966c035dc179a60c042b160aee2bf8f53.pdf"], "doi": []}, {"id": "93fa3d850e1aa84ce6fc0f2fdd0bda028fb6ca8f", "title": "Context-aware reinforcement learning for re-identification in a video network", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778207", "http://doi.org/10.1109/ICDSC.2013.6778207"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "5438e7c8151311d76ed7335051069c7c07113a12", "title": "Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Greenwich", "source_name": "University of Greenwich, London, United Kingdom", "street_adddress": "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "lat": "51.48293080", "lng": "-0.00699500", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965715", "http://doi.org/10.1109/SERA.2017.7965715"]}, {"id": "0f18522f7cc5068a2dc89e28dd41054384fab289", "title": "Improving person re-identification by soft biometrics based reranking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_icdsc2.pdf", "http://www.ee.ucr.edu/~lan/papers/ANICDSC13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778216", "http://doi.org/10.1109/ICDSC.2013.6778216"]}, {"id": "f9824a85f30c687f7b3a3fbf25f842d3d87e77ea", "title": "Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning", "addresses": [{"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8023775", "http://doi.org/10.1109/TNNLS.2017.2736640", "https://www.ncbi.nlm.nih.gov/pubmed/28880193", "https://www.wikidata.org/entity/Q47696400"]}, {"id": "2ab79698e74812142600f7e02315b9ac235a93ee", "title": "Person re-identification based on deep spatio-temporal features and transfer learning", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727397", "http://doi.org/10.1109/IJCNN.2016.7727397"]}, {"id": "12bce6e2db10faa4f370f9e40a6084296080b5cb", "title": "Learning to rank in person re-identification with metric ensembles", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01543.pdf"], "doi": []}, {"id": "b33d610d62e5255c77ca4abcc9de8aa3c57b60aa", "title": "Regularization in metric learning for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351214", "http://doi.org/10.1109/ICIP.2015.7351214"]}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "2d4c5768a65f05f96ae71a269422d0c3d371b26a", "title": "Semantics-Aware Deep Correspondence Structure Learning for Robust Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d4c/5768a65f05f96ae71a269422d0c3d371b26a.pdf"], "doi": []}, {"id": "c58a68628745ad189e47dcd956c7e23dc831da1f", "title": "Camera Compensation Using a Feature Projection Matrix for Person Reidentification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6739115", "http://doi.org/10.1109/TCSVT.2014.2305519"]}, {"id": "afaec3f0da9f2b8721b7979c8e77341bae59f98a", "title": "Person re-identification with coarse-to-fine visual attention", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296451", "http://doi.org/10.1109/ICIP.2017.8296451"]}, {"id": "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "title": "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "addresses": [{"name": "London, United Kingdom", "source_name": "London, United Kingdom", "street_adddress": "London, Greater London, England, SW1A 2DU, UK", "lat": "51.50732190", "lng": "-0.12764740", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7970176"]}, {"id": "4acbfe48fb279dbbc62f5be868dde5a4ce799904", "title": "Person re-identification by free energy score space encoding", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025496", "http://doi.org/10.1109/ICIP.2014.7025496"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "b3ed0c6d71a0b7b4a056dd88919c49f05ab69a9f", "title": "Data-driven and semantic-based pedestrian re-identification", "addresses": [{"name": "Jiangsu University", "source_name": "Jiangsu University", "street_adddress": "\u6c5f\u82cf\u5927\u5b66, 301, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212013, \u4e2d\u56fd", "lat": "32.20302965", "lng": "119.50968362", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393408", "http://doi.org/10.1109/FSKD.2017.8393408"]}, {"id": "de1aafc4f737d17b211fb84b80bace40f82c148b", "title": "Person Re-Identification by Dual-Regularized KISS Metric Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7451215", "http://doi.org/10.1109/TIP.2016.2553446", "https://www.ncbi.nlm.nih.gov/pubmed/27093624", "https://www.wikidata.org/entity/Q47434589"]}, {"id": "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "title": "Improving Person Re-identification via Pose-Aware Multi-shot Matching", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cho_Improving_Person_Re-Identification_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780520", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.151", "http://doi.org/10.1109/CVPR.2016.151"]}, {"id": "17f9b24a4871d29ca1a83fae12e4b96bce0fba63", "title": "Person Re-Identification Using Kernel-Based Metric Learning Methods", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/FeiXiong_ECCV14.pdf", "http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/posters/FeiXiong_ECCV14.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8695/86950001.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10584-0_1"]}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "29401a5ad840cfa2c525003815149d62399e91d1", "title": "Person Reidentification by Minimum Classification Error-Based KISS Metric Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6824754", "http://doi.org/10.1109/TCYB.2014.2323992", "https://www.ncbi.nlm.nih.gov/pubmed/25486658"]}, {"id": "944efd74c6fd812c6c495a11e7b045c9b778702e", "title": "RCAA: Relational Context-Aware Agents for Person Search", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/944e/fd74c6fd812c6c495a11e7b045c9b778702e.pdf"], "doi": []}, {"id": "2fa4b37f91667970150481c37a1f4e294a49b7f0", "title": "Person Reidentification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing", "addresses": [{"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://graphvision.whu.edu.cn/papers/Ye_TMM_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7557057", "http://doi.org/10.1109/TMM.2016.2605058"]}, {"id": "8e069b2447751a2ac44056203a47fa97ac803e4b", "title": "Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654965"]}, {"id": "952a8ef56f35376a52e4540d3df9e48f4077b09e", "title": "Deep feature embedding learning for person re-identification based on lifted structured loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6408-4"]}, {"id": "3cbb4cf942ee95d14505c0f83a48ba224abdd00b", "title": "Hierarchical Cross Network for Person Re-identification", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.06820.pdf"], "doi": []}, {"id": "dfc14e8bd07aeb2b97b3b5129ca511f0d157a6b5", "title": "Human detection and tracking over camera networks: A review", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846643"]}, {"id": "aec7ba707a37446fbf39cec960951ded2d575267", "title": "Learning Multiple Kernel Metrics for Iterative Person Re-Identification", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234929"]}, {"id": "9d6a35541f388db3f4ccf4c457e8ba23eb463654", "title": "Local region partition for person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4817-4"]}, {"id": "c105bd7f3fcdcf531fecd29206f7a1a6ade8e6c6", "title": "Towards unsupervised open-set person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/18790/Gong%20Towards%20unsupervised%20open-set%202016%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532461", "http://doi.org/10.1109/ICIP.2016.7532461"]}, {"id": "92166eb883b0505040c2d61c758985e5ec051f83", "title": "Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07528.pdf"], "doi": []}, {"id": "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "title": "Attention-based Few-Shot Person Re-identification Using Meta Learning", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09613.pdf"], "doi": []}, {"id": "7b6dc0a4feb3c940618f6c011ee1b75089e3b07a", "title": "Metric learning with trace-norm regularization for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025494", "http://doi.org/10.1109/ICIP.2014.7025494"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "956466b5c3036ada2e18f8f7c1b7bf0650779d08", "title": "Learning patch-dependent kernel forest for person re-identification", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://dklospace.github.io/papers/wacv16person.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477578", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477578", "http://doi.org/10.1109/WACV.2016.7477578"]}, {"id": "7d66daaaf6a52c3c0f26972c10e08423a23f842c", "title": "Improving person re-identification systems: a novel score fusion framework for rank-n recognition", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010018"]}, {"id": "16d2ead2c3e98aa1ee9c948855a027e1da2b8eea", "title": "Multi-view Deep Network for Cross-View Classification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kan_Multi-View_Deep_Network_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kan_Multi-View_Deep_Network_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780893", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.524", "http://doi.org/10.1109/CVPR.2016.524"]}, {"id": "7f02f790f320194d5eccf7665066308e46f5d0e9", "title": "Coupled-View Based Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://multimedia.whu.edu.cn/group/MAP/personalpage/Mang%20Ye's%20Homepage/ym_mmm.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/mmm2015.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/ym_mmm.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-14445-0_10"]}, {"id": "014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7", "title": "Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ab6e/d75e1b1952e4461fc603bcfd042bb462635f.pdf"], "doi": []}, {"id": "3d5b43dcb9725f469635c54c01f6bc90976b4ee0", "title": "Triplet CNN and pedestrian attribute recognition for improved person re-identification", "addresses": [{"name": "Thales Services, ThereSIS, Palaiseau, France", "source_name": "Thales Services, ThereSIS, Palaiseau, France", "street_adddress": "Route D\u00e9partementale, 91120 Palaiseau, France", "lat": "48.71472740", "lng": "2.20270890", "type": "company", "country": "France"}, {"name": "University of Lyon", "source_name": "Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://hal.archives-ouvertes.fr/hal-01625479/file/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078542", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078542", "http://doi.org/10.1109/AVSS.2017.8078542"]}, {"id": "3a387304d18f2786ee83804bd38efecc2a5fd323", "title": "Person Re-Identification Using Multiple Experts with Random Subspaces", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3a38/7304d18f2786ee83804bd38efecc2a5fd323.pdf"], "doi": []}, {"id": "447848afc79a7f78be49450cd330bfdaabdd64d3", "title": "Incremental Kernel Null Foley-Sammon Transform for Person Re-identification", "addresses": [{"name": "Aviation University of Airforce", "source_name": "Aviation University of Airforce, Changchun, 130022, China", "street_adddress": "Fanrong Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130022", "lat": "43.83983040", "lng": "125.32018170", "type": "mil", "country": "China"}, {"name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "source_name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546301"]}, {"id": "64b90c3220c43f58cb38da9af1a1b77da3dde63e", "title": "Recurrent Attention Models for Depth-Based Person Identification", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.07212.pdf"], "doi": []}, {"id": "3a0425c25beea6c4c546771adaf5d2ced4954e0d", "title": "Domain Adaptation in Computer Vision Applications", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-58347-1", "https://link.springer.com/book/10.1007/978-3-319-58347-1"]}, {"id": "9a81f46fcf8c6c0efbe34649552b5056ce419a3d", "title": "Deep person re-identification with improved embedding and efficient training", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03332.pdf"], "doi": []}, {"id": "e7e070a929d7911ef2f8c6f6d4e3c5d62c5a9890", "title": "Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7893777", "http://doi.org/10.1109/TPAMI.2017.2691769", "https://www.ncbi.nlm.nih.gov/pubmed/28410099", "https://www.wikidata.org/entity/Q36347023"]}, {"id": "de2faaee4f1b2ecf23149995d0146347a13b9257", "title": "Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment", "addresses": [{"name": "Johannes Kepler University", "source_name": "Johannes Kepler University, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06114.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "a65c3af3752866732fb2d1ccb3305ddf0fea91df", "title": "Deep Feature Embedding Learning for Person Re-Identification Using Lifted Structured Loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001957.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462118", "http://doi.org/10.1109/ICASSP.2018.8462118"]}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "5db08701e6a8173ada652309c09d1262f9df7f9b", "title": "Ranking Optimization for Person Re-identification via Similarity and Dissimilarity", "addresses": [{"name": "Jiujiang University", "source_name": "Jiujiang University, Jiujiang, China", "street_adddress": "17 Lufeng Rd, Xunyang Qu, Jiujiang Shi, Jiangxi Sheng, China, 332000", "lat": "29.72004900", "lng": "115.99882500", "type": "edu", "country": "China"}, {"name": "Wuhan Univeristy, Wuhan, China", "source_name": "Wuhan Univeristy, Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806326"]}, {"id": "7e186b41f5d2cfdf1940009e61d4e34a47b33c7c", "title": "Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wang_Orientation_Invariant_Feature_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237311", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.49", "http://doi.org/10.1109/ICCV.2017.49"]}, {"id": "8cfdd9047f8ad1eaf7d2b71385576f759c792173", "title": "Similarity Learning with Top-heavy Ranking Loss for Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://www.researchgate.net/profile/Changxin_Gao/publication/284274001_Similarity_Learning_with_Top-heavy_Ranking_Loss_for_Person_Re-identification/links/568c660f08aeb488ea2fd6a6.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332741", "http://doi.org/10.1109/LSP.2015.2502271"]}, {"id": "54be7b76110de37a8315bad7a4b0cda3bdaace76", "title": "Person Reidentification Using Deep Convnets With Multitask Learning", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pure.qub.ac.uk/portal/files/106210265/bare_jrnl_no_copyright_notice.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734118,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600455", "http://doi.org/10.1109/TCSVT.2016.2619498"]}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "e0c6748799529ee035b21f040187d1e6df232624", "title": "Temporally aligned pooling representation for video-based person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533168", "http://doi.org/10.1109/ICIP.2016.7533168"]}, {"id": "edc67e3e95c0ae693c4df3193e5957dfd3e9e5b3", "title": "Person Re-Identification Using Multi-region Triplet Convolutional Network", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131917"]}, {"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "title": "Scalable Person Re-identification: A Benchmark", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, {"id": "bc27434e376db89fe0e6ef2d2fabc100d2575ec6", "title": "Faceless Person Recognition; Privacy Implications in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08438.pdf"], "doi": []}, {"id": "61dfbdfe718aca026cafa06adc63055bd0fc562e", "title": "A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61df/bdfe718aca026cafa06adc63055bd0fc562e.pdf"], "doi": []}, {"id": "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "title": "Independent metric learning with aligned multi-part features for video-based person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-7119-6"]}, {"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "title": "Person Re-identification by Video Ranking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "c249f0aa1416c51bf82be5bb47cbeb8aac6dee35", "title": "Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04533.pdf"], "doi": []}, {"id": "57ef0d30fac07e1fef3346838a1dcc8f4eb9f315", "title": "A novel stereo matching approach for pedestrian re-identification", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["http://www.ee.iisc.ac.in/new/people/faculty/soma.biswas/Papers/biswas_ncvpripg2015_pedreid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490003"]}, {"id": "a66a0349a840e786455ad2741c7fe7c46c9d4ca6", "title": "Impostor Resilient Multimodal Metric Learning for Person Reidentification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://downloads.hindawi.com/journals/am/2018/3202495.pdf"], "doi": ["https://doi.org/10.1155/2018%2F3202495", "https://doi.org/10.1155/2018/3202495"]}, {"id": "3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904", "title": "Dynamic locally connected layer for person re-identification", "addresses": [{"name": "ChongQing College of Electronic Engineering, Chongqing, China", "source_name": "ChongQing College of Electronic Engineering, Chongqing, China", "street_adddress": "Shapingba, Chongqing, China", "lat": "29.62636500", "lng": "106.32531700", "type": "edu", "country": "China"}, {"name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "source_name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "street_adddress": "11 Zhongshan 4th Rd, DaXiGou, Yuzhong Qu, Chongqing Shi, China, 400065", "lat": "29.56245900", "lng": "106.54645100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2033-2"]}, {"id": "ab1b95677e8ea0f9881520b34a5f8192d141ef0e", "title": "Corrections to \u201cRelevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities\u201d [Dec 15 4741-4755]", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364308", "http://doi.org/10.1109/TIP.2015.2466117", "https://www.ncbi.nlm.nih.gov/pubmed/26259221", "https://www.wikidata.org/entity/Q39195975"]}, {"id": "293c4f086152ae9d635ab1eb84b72f44cb57d129", "title": "Person re-identification via person DPM based partition", "addresses": [{"name": "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "source_name": "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "street_adddress": "Zhengzhou, Henan, China", "lat": "34.74661100", "lng": "113.62532800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0001.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900236", "http://doi.org/10.1109/ICPR.2016.7900236"]}, {"id": "1e5a1619fe5586e5ded2c7a845e73f22960bbf5a", "title": "Group Membership Prediction", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.04783.pdf"], "doi": []}, {"id": "8fb0ae4fa49de45bbd51f97571732c1827516617", "title": "Coupled analysis-synthesis dictionary learning for person re-identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296304", "http://doi.org/10.1109/ICIP.2017.8296304"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "afd492a598476b5a9b13e2b6d28a76b0707c0a35", "title": "Open-set Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1408.0872.pdf"], "doi": []}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "33c31cba98bda51f923caff75022d13bf62a5d60", "title": "Towards more reliable matching for person re-identification", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Towards%20More%20Reliable%20Matching%20for%20Person%20Re-identification.pdf", "http://sist.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Towards%20More%20Reliable%20Matching%20for%20Person%20Re-identification.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126349", "http://doi.org/10.1109/ISBA.2015.7126349"]}, {"id": "93afaa8c5fb5e0913e1f2a2de99636ddd30f7718", "title": "A combined feature representation of deep feature and hand-crafted features for person re-identification", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7949499"]}, {"id": "311e4361ded641dc6f007595dc05f5c77055bdba", "title": "Cross-View Discriminative Feature Learning for Person Re-Identification", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}, {"name": "Research Division, Anyvision, Belfast, U.K.", "source_name": "Research Division, Anyvision, Belfast, U.K.", "street_adddress": "Belfast, UK", "lat": "54.59728500", "lng": "-5.93012000", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398470"]}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "title": "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0991-0"]}, {"id": "a089b7627f4661e68fbb2acc4a741b98e54f1f09", "title": "Knowledge Science, Engineering and Management", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "Universit\u00e0 di Trento, Povo, Italy", "source_name": "Universit\u00e0 di Trento, Povo, Italy", "street_adddress": "Via Sommarive, 14, 38123 Povo TN, Italy", "lat": "46.06559770", "lng": "11.15084150", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-99247-1"]}, {"id": "df4525d7d99f7237c864adbcb2dab30d8f7447e0", "title": "Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification", "addresses": [{"name": "Universidade Federal de Minas Gerais, Brazil", "source_name": "Universidade Federal de Minas Gerais, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06969.pdf"], "doi": []}, {"id": "66284b8894bab0165c4210cd2df749f0b015c88e", "title": "Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8e0/0a3fb542d0d6ab090b28aa864de9c262fd40.pdf"], "doi": []}, {"id": "d87cfabb760f7e955f872ac077eadf5c0abfb32c", "title": "Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639078"]}, {"id": "71644fab2275cfd6a8f770a26aba4e6228e85dec", "title": "Multi-View Discriminant Analysis", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Omron Social Solutions Co., LTD., Kyoto, Japan", "source_name": "Omron Social Solutions Co., LTD., Kyoto, Japan", "street_adddress": "Kyoto, Kyoto Prefecture, Japan", "lat": "35.01163630", "lng": "135.76802940", "type": "company", "country": "Japan"}], "year": "2016", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/basicpage/file/Multi-view%20Discriminant%20Analysis_TPAMI2015.pdf", "http://vipl.ict.ac.cn/sites/default/files/papers/files/2012_ECCV_mnkan_Multi-view%20Discriminant%20Analysis.pdf", "http://www.jdl.ac.cn/doc/2011/20131910365517756_2012_eccv_mnkan_mvda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7110624", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2435740", "http://doi.org/10.1109/TPAMI.2015.2435740", "https://www.ncbi.nlm.nih.gov/pubmed/26656586"]}, {"id": "7b83674072904f783881585a45017c1969e2d692", "title": "Multi-Perspective Tracking for Intelligent Vehicle", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272017", "http://doi.org/10.1109/TITS.2017.2784486"]}, {"id": "02f94930219d2bb632d067ca2d31db61161ed5fb", "title": "Multi-Scale Triplet CNN for Person Re-Identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967209"]}, {"id": "0c59071ddd33849bd431165bc2d21bbe165a81e0", "title": "Person Recognition in Personal Photo Collections", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03502.pdf"], "doi": []}, {"id": "bd46c9a7b51e8d8a7726b6fbacec80aa6f2097d4", "title": "Toward facial re-identification: Experiments with data from an operational surveillance camera plant", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791204", "http://doi.org/10.1109/BTAS.2016.7791204"]}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "63d64d07966d4d128581246a891ff1d3dd3a2a96", "title": "Learning face similarity for re-identification from real surveillance video: A deep metric solution", "addresses": [{"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272704", "http://doi.org/10.1109/BTAS.2017.8272704"]}, {"id": "3e90a70d768415e28fbf0dd56e53f8933784c416", "title": "Highly Efficient Regression for Scalable Person Re-Identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01341.pdf"], "doi": []}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "436e40bfb2b5f8ba771812b7299669e677ecb29b", "title": "Dense 3D-Convolutional Neural Network for Person Re-Identification in Videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3231741"]}, {"id": "e23004116d85976ad0a2a4da69914a2c9d1ea5ab", "title": "Multi-part compact bilinear CNN for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296694", "http://doi.org/10.1109/ICIP.2017.8296694"]}, {"id": "47165ad181b3da3a615e6e8bc8509fcfc53f49c4", "title": "Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/papers/files/2014_ICDM_TINA%20Cross-modal%20Correlation%20Learning%20by%20Adaptive%20Hierarchical%20Semantic%20Aggregation.pdf", "http://www.jdl.ac.cn/doc/2011/201511612313045160_2014_icdm_tina%20cross-modal%20correlation%20learning%20by%20adaptive%20hierarchical%20semantic%20aggregation.pdf", "http://www.jdl.ac.cn/doc/2011/201711321582995603_cross-modal%20correlation%20learning%20by%20adaptive%20hierarchical%20semantic%20aggregation-tmm%202016-yan%20hua.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7422147", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2014.65", "http://doi.org/10.1109/ICDM.2014.65", "https://doi.org/10.1109/TMM.2016.2535864"]}, {"id": "ac44314e877e10ecf4b2123553ed0bdc3fc963ef", "title": "On-Road Pedestrian Tracking Across Multiple Driving Recorders", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7155586", "http://doi.org/10.1109/TMM.2015.2455418"]}, {"id": "6345eef2ffe46da6d77d07446c1329da7ea00f45", "title": "Trajectory Ensemble: Multiple Persons Consensus Tracking Across Non-overlapping Multiple Cameras over Randomly Dropped Camera Networks", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Kawanishi_Trajectory_Ensemble_Multiple_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014924", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.190", "http://doi.org/10.1109/CVPRW.2017.190"]}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "title": "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9c82/751e5bb63f54e9419703590ac9be86171de0.pdf"], "doi": []}, {"id": "a2fa23bb2720f1fe2131a485562658f1a8fd4ea0", "title": "Deep Siamese Network for Multiple Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547137"]}, {"id": "dac8fc521dfafb2d082faa4697f491eae00472c7", "title": "Learning to Generate and Edit Hairstyles", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123423"]}, {"id": "20b7d94df4011cd27e420976216b419890e254ff", "title": "Unsupervised Hashing with Neural Trees for Image Retrieval and Person Re-Identification", "addresses": [{"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243687"]}, {"id": "a29566375836f37173ccaffa47dea25eb1240187", "title": "Vehicle Re-Identification in Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09409.pdf"], "doi": []}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "26d3f57dd09efff6315ae0064cdad4877f5297d7", "title": "Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03252.pdf"], "doi": []}, {"id": "8824638e8077f62283d292804006ce94c92764bf", "title": "M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03768.pdf"], "doi": []}, {"id": "1bd2ac7fa16af540f2c7ef753a5ab06ce54d3d02", "title": "Person re-identification based on combined Gaussian weighted Fisher vectors", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7945651", "http://doi.ieeecomputersociety.org/10.1109/AICCSA.2016.7945651", "http://doi.org/10.1109/AICCSA.2016.7945651"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "f96525599a5abc069d2415950f6acd0ed37ab7d8", "title": "Convolutional neural network-based representation for person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495897", "http://doi.org/10.1109/SIU.2016.7495897"]}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "b5184bd428b9a89255900dce50b4320741706744", "title": "Discovering Disentangled Representations with the F Statistic Loss", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b518/4bd428b9a89255900dce50b4320741706744.pdf"], "doi": []}, {"id": "3149e6206484104959bcd112abb4e448fc35e311", "title": "A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240879"]}, {"id": "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "title": "Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "addresses": [{"name": "University of California, Los Angeles", "source_name": "University of California, Los Angeles", "street_adddress": "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "lat": "34.06877880", "lng": "-118.44500940", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09882.pdf"], "doi": []}, {"id": "6bdef989bd80d72c620aa9ac4c62c021cf4bd9d6", "title": "Video structured description technology based intelligence analysis of surveillance videos for public security applications", "addresses": [{"name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "source_name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "street_adddress": "China, Shanghai, Xuhui, \u5cb3\u9633\u8def76\u53f7", "lat": "31.20700600", "lng": "121.45196400", "type": "gov", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3112-5"]}, {"id": "33526226231cce669317ece44e6af262b8395dd9", "title": "CRF-CNN: Modeling Structured Information in Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00468.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "52c141b9b7739dbacc93e3e661a15c84853d4094", "title": "A Multi-loss Deep Network Based on Pyramid Pooling for Person Re-identification", "addresses": [{"name": "Xi'an Jiantong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xi'an Jiantong University, Xi'an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "source_name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623067"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "beb0239feac388e4ee04492159a45f7e2c71e1e3", "title": "POI: Multiple Object Tracking with High Performance Detection and Appearance Feature", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.06136.pdf"], "doi": []}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "47f4dec5f733e933c8b9a8fdcda9419741f2bf62", "title": "Adversarial Metric Attack for Person Re-identification", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10650.pdf"], "doi": []}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "9c675774d49be7ba428c80142cb63ed4267d3c46", "title": "Low illumination person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6239-3"]}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "title": "Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6409-3"]}, {"id": "424cce55355f2fa4b3c020d56967e1f7b82b1de9", "title": "M 2 M-GAN : Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/424c/ce55355f2fa4b3c020d56967e1f7b82b1de9.pdf"], "doi": []}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "9c2978428e35f27a851432dd44f1d2721e0e10e3", "title": "A traffic object classification pipeline based on CNNs", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7382581"]}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "8de7da01bf4c2643f36dae4a8d2fa04906daff02", "title": "An enhanced triplet CNN based on body parts for person re-identificacion", "addresses": [{"name": "Universidad Cat\u00f3lica San Pablo, Arequipa, Per\u00fa", "source_name": "Universidad Cat\u00f3lica San Pablo, Arequipa, Per\u00fa", "street_adddress": "Quinta Vivanco s/n, Urb. Campi\u00f1a Paisajista, Arequipa 04001, Peru", "lat": "-16.39013840", "lng": "-71.53571610", "type": "edu", "country": "Peru"}, {"name": "Universidad Nacional de San Agust\u00edn, Arequipa, Per\u00fa", "source_name": "Universidad Nacional de San Agust\u00edn, Arequipa, Per\u00fa", "street_adddress": "Arequipa, Peru", "lat": "-16.40546170", "lng": "-71.52082910", "type": "edu", "country": "Peru"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8405126", "http://doi.org/10.1109/SCCC.2017.8405126"]}, {"id": "6abe0a851064e0c5068c37067f2227d53127f69b", "title": "Hetero-Manifold Regularisation for Cross-Modal Hashing", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801124"]}, {"id": "b086e278c5ac61c024e89b302fec87b2aecf9281", "title": "Which Part is Better: Multi-Part Competition Network for person Re-Identification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545848"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "fac6b4562053853db517ff6511c6daff2e6a1a7b", "title": "Deep Low-Resolution Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fac6/b4562053853db517ff6511c6daff2e6a1a7b.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "72f6bc80258293bddcca325fe95ce8df36ae6f06", "title": "An effective approach to crowd counting with CNN-based statistical features", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090827"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "3c8f916264e8d15ba1bc618c6adf395e86dd7b40", "title": "Generating Descriptions with Grounded and Co-referenced People", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01518.pdf"], "doi": []}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "bdd3e33cb78965bcd15d69b7902c813b2ac864ff", "title": "GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123279"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "6355f7fd956466e8e9f09b297e6cdd155d66740e", "title": "EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.08153.pdf"], "doi": []}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "9d5a6d12b39c6574fe284d779d2c23c2800bb283", "title": "Vehicle Re-Identification by Deep Hidden Multi-View Inference", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325486", "http://doi.org/10.1109/TIP.2018.2819820", "https://www.ncbi.nlm.nih.gov/pubmed/29641406"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "ac32cdb3e0a996c75d5df2973c1a2444a81c0a5e", "title": "Defense Against Adversarial Attacks with Saak Transform", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01785.pdf"], "doi": []}, {"id": "d70d0bf360f4007c06407b7634c617979ac703b1", "title": "Person Re-Identification With A Joint Learning CNN Network And A New Global Loss Function", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551553"]}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "781f4b1732cffc30f315eff94d53965a8fd9324f", "title": "Recent Advances in Deep Learning: An Overview", "addresses": [{"name": "Chittagong University of Engineering and Technology", "source_name": "Chittagong University of Engineering and Technology", "street_adddress": "Shaheed Tareq Huda Hall, Goal Chattar, \u099a\u099f\u09cd\u099f\u0997\u09cd\u09b0\u09be\u09ae, \u099a\u099f\u09cd\u099f\u0997\u09cd\u09b0\u09be\u09ae \u099c\u09c7\u09b2\u09be, \u099a\u099f\u09cd\u099f\u0997\u09cd\u09b0\u09be\u09ae \u09ac\u09bf\u09ad\u09be\u0997, 4349, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "22.46221665", "lng": "91.96942263", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08169.pdf"], "doi": []}, {"id": "3f69a9ef0f98a3936bc905e792cfe8a7d313b565", "title": "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08402.pdf"], "doi": []}, {"id": "3b3686f87f9a22db2bda99cb279c817e7f8a001b", "title": "Person re-identification method based on CNN and manually-selected feature fusion", "addresses": [{"name": "Guilin University of Electronic Technology Guangxi Guilin", "source_name": "Guilin University of Electronic Technology Guangxi Guilin", "street_adddress": "\u6842\u6797\u7535\u5b50\u79d1\u6280\u5927\u5b66\u91d1\u9e21\u5cad\u6821\u533a, 1\u53f7, \u91d1\u9e21\u8def, \u4e03\u661f\u533a, \u9ec4\u83ba\u5ca9\u6751, \u4e03\u661f\u533a, \u6842\u6797\u5e02, \u5e7f\u897f\u58ee\u65cf\u81ea\u6cbb\u533a, 541004, \u4e2d\u56fd", "lat": "25.28739920", "lng": "110.33242770", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393401", "http://doi.org/10.1109/FSKD.2017.8393401"]}, {"id": "a34f8768b10d928aa4f4105afb971819c26a2219", "title": "Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485730"]}, {"id": "f89e5b1f61b221c7b00db55b64239a28f8ba9fe0", "title": "Ensemble Learning-Based Person Re-identification with Multiple Feature Representations", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f89e/5b1f61b221c7b00db55b64239a28f8ba9fe0.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "title": "A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410791"]}, {"id": "7af4ee644a0b4269a080fc491f443b32d6930bff", "title": "Deep Multi-View Feature Learning for Person Re-Identification", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "UBTECH Robotics, Shenzhen, China", "source_name": "UBTECH Robotics, Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7979595", "http://doi.org/10.1109/TCSVT.2017.2726580"]}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "411278b73afedca6976f02a8d3a38cdec3337f87", "title": "Cross-view projective dictionary learning for person re-identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ijcai.org/Proceedings/15/Papers/305.pdf", "http://www.ijcai.org/Proceedings/15/Papers/305.pdf"], "doi": ["http://ijcai.org/Abstract/15/305"]}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "title": "Attributes co-occurrence pattern mining for video-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078469", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078469", "http://doi.org/10.1109/AVSS.2017.8078469"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "e7d840cf207802918e5b09af0a650b8f38f824a8", "title": "Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03989.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc", "title": "Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory", "addresses": [{"name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "source_name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "street_adddress": "Zoumaliang Rd, Banan Qu, Chongqing Shi, China", "lat": "29.42475500", "lng": "106.53683700", "type": "edu", "country": "China"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451174", "http://doi.org/10.1109/ICIP.2018.8451174"]}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "c87f7ee391d6000aef2eadb49f03fc237f4d1170", "title": "A real-time and unsupervised face Re-Identification system for Human-Robot Interaction", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1804.03547.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "c8c60abb7cef001213d951d041e5f03042de0df5", "title": "Person re-identification with deep dense feature representation and Joint Bayesian", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296945", "http://doi.org/10.1109/ICIP.2017.8296945"]}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "84f047ff1665f7fdb7653047caf4d43c2c9576c2", "title": "Person re-identification with pre-trained deep learning models and attribute correlations", "addresses": [{"name": "University of Information Technology", "source_name": "Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam", "street_adddress": "Khu ph\u1ed1 6 P, Vietnam", "lat": "10.87030000", "lng": "106.80345130", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886726"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "fccd0406749aecf76741460de7499689ebf4c676", "title": "Integrating Egocentric Videos in Top-View Surveillance Videos: Joint Identification and Temporal Alignment", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fccd/0406749aecf76741460de7499689ebf4c676.pdf"], "doi": []}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "589d06db45e2319b29fc96582ea6c8be369f57ed", "title": "Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/589d/06db45e2319b29fc96582ea6c8be369f57ed.pdf"], "doi": []}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "61f56afc7713ebfacfe382d1824966cb9b967d34", "title": "An Ensemble of Invariant Features for Person Reidentification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Huawei Research and Development, Santa Clara, CA", "source_name": "Huawei Research and Development, Santa Clara, CA, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779129", "http://doi.org/10.1109/TCSVT.2016.2637818"]}, {"id": "a89c12bae45ec11742c50261d6e2505272369d41", "title": "Foreground Gated Network for Surveillance Object Detection", "addresses": [{"name": "Alibaba Group, Hangzhou, China", "source_name": "Alibaba Group, Hangzhou, China", "street_adddress": "Alibaba Group, \u4e94\u5e38\u8857\u9053, \u4f59\u676d\u533a (Yuhang), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, \u4e2d\u56fd", "lat": "30.28106540", "lng": "120.02139087", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Zhejiang University Embedded System Engineering Research Center", "source_name": "Ministry of Education of China, Zhejiang University Embedded System Engineering Research Center", "street_adddress": "Zhiquan Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310000", "lat": "30.26182300", "lng": "120.12222400", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Zhejiang Provincial Key Laboratory for Network Multimedia Technologies", "source_name": "Zhejiang Provincial Key Laboratory for Network Multimedia Technologies", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499396", "http://doi.org/10.1109/BigMM.2018.8499396"]}, {"id": "b7bc6a2dfe99668457b67007400f5ab760386d0c", "title": "A Siamese inception architecture network for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0843-5"]}, {"id": "89198580f18cad7f62393732868a977ffae57917", "title": "Person re-identification by distance metric learning to discrete hashing", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532465", "http://doi.org/10.1109/ICIP.2016.7532465"]}, {"id": "a6bc69831dea3efc5804b8ab65cf5a06688ddae0", "title": "Crossing Generative Adversarial Networks for Cross-View Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01760.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "21123fde70a1b2614fb4485d9ce786d2cc85a1ea", "title": "Graph regularized low-rank matrix recovery for robust person re-identification", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["http://mml.citi.sinica.edu.tw/papers/ICIP_2015_Tsai.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351689", "http://doi.org/10.1109/ICIP.2015.7351689"]}, {"id": "6b7e552ca66fd3235e99115d6f072061b9ada181", "title": "Extensive Comparison of Visual Features for Person Re-identification", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007741"]}, {"id": "d4b34e327b62b7f3fbddfc403e4642b17245a3b7", "title": "Partial Person Re-identification with Alignment and Hallucination", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09162.pdf"], "doi": []}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "b85e71d4e68588211c877fff8cda267b3a6bb6c9", "title": "End-to-end learning of motion , appearance and interaction cues for multi-target tracking", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b85e/71d4e68588211c877fff8cda267b3a6bb6c9.pdf"], "doi": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "058d50af5456665dccda2b41b17bdfead72bdec8", "title": "Learning Non-Metric Visual Similarity for Image Retrieval", "addresses": [{"name": "Aston University", "source_name": "Aston University", "street_adddress": "Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK", "lat": "52.48620785", "lng": "-1.88849915", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01353.pdf"], "doi": []}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "1adbcca753c7b4f22cf3d6bc3a9579573d4d5846", "title": "Sample-Specific SVM Learning for Person Re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Omron Corporation", "source_name": "Omron corporation", "street_adddress": "3709 Ohio Ave, St. Charles, IL 60174, USA", "lat": "41.91256730", "lng": "-88.26993760", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Sample-Specific_SVM_Learning_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Sample-Specific_SVM_Learning_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780512", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.143", "http://doi.org/10.1109/CVPR.2016.143"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "34b8e675d4651db45e484da34f3c415c60ef3ea2", "title": "DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01220.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "80be8624771104ff4838dcba9629bacfe6b3ea09", "title": "Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890265.pdf", "http://www.ifp.illinois.edu/~moulin/Papers/ECCV14-jiwen.pdf", "http://www.ntu.edu.sg/home/wanggang/LuECCV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944673", "http://doi.org/10.1109/TIP.2017.2713940", "https://www.ncbi.nlm.nih.gov/pubmed/28613171", "https://www.wikidata.org/entity/Q50434985"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "c1660197f94786364e624efed4ba03c0d8ab6161", "title": "Robust dictionary learning with graph regularization for unsupervised person re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5202-z"]}, {"id": "b54ed594267ead88b99bed3230e0453f54d00873", "title": "Human Recognition by Appearance and Gait", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768818040035"]}, {"id": "0e85b9c05d6f6d190f7c0434e3356a8bfb97bdec", "title": "Person Re-Identification with Vision and Language", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545582"]}, {"id": "ebe8408052d9bf05dc2007d01559dda6129840eb", "title": "Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05769.pdf"], "doi": []}, {"id": "5025a2f2a2d53db48f9504be93358c3ec5261646", "title": "Dual Channel Gradient feature for person re-identification", "addresses": [{"name": "PLA University of Science & Technology", "source_name": "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7752447", "http://doi.org/10.1109/WCSP.2016.7752447"]}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "82430878b6ee7a427ac389b51407599909576084", "title": "Saliency preprocessing for person re-identification images", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001941.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472015", "http://doi.org/10.1109/ICASSP.2016.7472015"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "ac36284cfa95e613f9e726cd017a5dca207fe633", "title": "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7859378", "http://doi.org/10.1109/TIP.2017.2672440", "https://www.ncbi.nlm.nih.gov/pubmed/28237930", "https://www.wikidata.org/entity/Q53478605"]}, {"id": "d1d90bbc6bb4fdb0d928ff74bfd8671aaafa070e", "title": "Neural Person Search Machines", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06777.pdf"], "doi": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "b42a8f2703867639f7ce68229b0916015878c5eb", "title": "Evaluating features for person re-identification", "addresses": [{"name": "PLA University of Science & Technology", "source_name": "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888255"]}, {"id": "14d72dc9f78d65534c68c3ed57305f14bd4b5753", "title": "Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Yan_Exploiting_Multi-Grain_Ranking_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237330", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.68", "http://doi.org/10.1109/ICCV.2017.68"]}, {"id": "1977d67a8db78d483a25c9fc6ad2ffad8d80c41c", "title": "A Unsupervised Person Re-identification Method Using Model Based Representation and Ranking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2807399"]}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "64c1d9a031ec0e6785dc92edc0d00cc0802e32b0", "title": "Key Person Aided Re-identification in Partially Ordered Pedestrian Set", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.10017.pdf"], "doi": []}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "16701e3cbd43b52e32d567649a194245dcd31829", "title": "Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1670/1e3cbd43b52e32d567649a194245dcd31829.pdf"], "doi": []}, {"id": "d56a262763c84d2bb21e9ea40f2517610f61d05f", "title": "Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "addresses": [{"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126708"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "631c4ca00eaa65b801c63d32c0f564e974009ddd", "title": "Self-attention Learning for Person Re-identification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/631c/4ca00eaa65b801c63d32c0f564e974009ddd.pdf"], "doi": []}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "30666d175714e29f03a2a649955e714b0cfd88cc", "title": "Two-stream person re-identification with multi-task deep neural networks", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0915-1"]}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "7b51e4cf4f38c581d95b2c07457fc9a76058ddbf", "title": "Part-based Multi-stream Model for Vehicle Searching", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546191"]}, {"id": "6b6207c49c7b41b171388fc2228304de148f0a96", "title": "Person Search by Multi-Scale Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08582.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3", "title": "Unifying Identification and Context Learning for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03084.pdf"], "doi": []}, {"id": "443acd268126c777bc7194e185bec0984c3d1ae7", "title": "Retrieving relative soft biometrics for semantic identification", "addresses": [{"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://eprints.soton.ac.uk/402985/1/icpr-16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900105", "http://doi.org/10.1109/ICPR.2016.7900105"]}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c", "title": "Cross-domain attribute representation based on convolutional neural network", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07295.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "d348197e47a8e081bd3f12a22bc52b055ecd8302", "title": "Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07085.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "de46fbad976ec6f02e53c70c1f92b4beb4d84f35", "title": "Online Cross-Modal Adaptation for Audio\u2013Visual Person Identification With Wearable Cameras", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2016_THMS_OnLineCrossModalAdaptation_Brutti_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7742962", "http://doi.org/10.1109/THMS.2016.2620110"]}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "b55914fe572bd2449234eb05c300b32ad94e97d8", "title": "Person re-identification using multiple features fusion", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846660"]}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/citations/cuhk_train_station.json b/site/datasets/citations/cuhk_train_station.json index 5503cdfc..d0110a19 100644 --- a/site/datasets/citations/cuhk_train_station.json +++ b/site/datasets/citations/cuhk_train_station.json @@ -1 +1 @@ -{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "paper": {"key": "cuhk_train_station", "name": "CUHK Train Station Dataset", "title": "Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents", "year": "2012"}, "address": {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, "citations": [{"id": "3c98a61bbe557b4f4c1655035e4aae43b7152bbe", "title": "Extracting descriptive motion information from crowd scenes", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402493"]}, {"id": "0b78c77c73ecbc07e8deb361e79d97660ce231a5", "title": "Social Attribute-Aware Force Model: Exploiting Richness of Interaction for Abnormal Crowd Detection", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.jdl.ac.cn/doc/2011/2016119833767489_social%20attribute-aware%20force%20model%20exploiting%20richness%20of%20interaction%20for%20abnormal%20crowd%20detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6894168", "http://doi.org/10.1109/TCSVT.2014.2355711"]}, {"id": "f424f6740dcfa7b27b4b5f6adec5f6acd4d6b2a3", "title": "Interactive and adaptive data-driven crowd simulation", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7504685"]}, {"id": "462346f8e30c54a5211589dc99164162e4b1e8e2", "title": "Data-Driven Agent-Based Simulation for Pedestrian Capacity Analysis", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://www.iccs-meeting.org/archive/iccs2018/papers/108610100.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-93701-4_8"]}, {"id": "37f35a05733e11cd490897a3c6d906abfe5ce434", "title": "Point-based path prediction from polar histograms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528123"]}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "e678d89c65f715294a9f7d14e32dd1b3ecf50246", "title": "Analyzing motion patterns in crowded scenes via automatic tracklets clustering", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6506940"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "840f2258318d3e339caee706c51c514d156ade8a", "title": "Motion pattern analysis in crowded scenes based on hybrid generative-discriminative feature maps", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738584"]}, {"id": "06ea877e7599c28d043fdbbcb6fe68b032dda008", "title": "Trajectory clustering for motion pattern extraction in aerial videos", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "source_name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025203"]}, {"id": "0912ea64eb6e1938c421566688b5eafd80d8f968", "title": "A \"semi-lazy\" approach to probabilistic path prediction", "addresses": [{"name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2487609"]}, {"id": "cbf14c7b515fa30b1da1f19e1610582dc7b2932f", "title": "Multi-modal recognition of manipulation activities through visual accelerometer tracking, relational histograms, and user-adaptation", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbf1/4c7b515fa30b1da1f19e1610582dc7b2932f.pdf"], "doi": []}, {"id": "2b102276e1d22b517cb482929b8c58db88647d9c", "title": "Kernel density estimation for target trajectory prediction", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7353858"]}, {"id": "aa358f4a0578234e301a305d8c5de8d859083a4c", "title": "Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2014/Discriminative%20Orderlet%20Mining%20For%20Real-time%20Recognition%20of%20Human-Object%20Interaction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/379.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_4"]}, {"id": "26bfabc72c937fd4feddf585b4989407dea90c59", "title": "Learning behavior patterns from video for agent-based crowd modeling and simulation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s10458-016-9334-8"]}, {"id": "296642b2aa7f2cad51b04aaa74426122e96f3a9a", "title": "Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930157.pdf", "http://www.varcity.eu/paper/eccv2014_manen_deceptiveness.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01140.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_11", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930157/esm2.PDF"]}, {"id": "9e4f23b76b0eb2cb209faabcc80011a2e12d31a8", "title": "Anchor-based group detection in crowd scenes", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952382"]}, {"id": "7c0b4ace044848f8e156e5ec898847a075905495", "title": "Pedestrian group attributes detection in crowded scenes", "addresses": [{"name": "Universiti Teknologi Petronas", "source_name": "Universiti Teknologi PETRONAS", "street_adddress": "UTP, Universiti Teknologi Petronas, Persiaran Desa Kediaman, Puncak Iskandar, Seri Iskandar, PRK, 32610, Malaysia", "lat": "4.38304640", "lng": "100.97001540", "type": "edu", "country": "Malaysia"}, {"name": "Umm Al-Qura University", "source_name": "Umm Al-Qura University, Mecca, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0623\u0645\u064a\u0631 \u0633\u0644\u0637\u0627\u0646 \u0628\u0646 \u0639\u0628\u062f \u0627\u0644\u0639\u0632\u064a\u0632\u060c Makkah Saudi Arabia", "lat": "21.32983610", "lng": "39.94888910", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075584", "http://doi.org/10.1109/ATSIP.2017.8075584"]}, {"id": "7e8e7d4901c1c95f6890cee58bf5759e17f3d2e4", "title": "Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition", "addresses": [{"name": "Keele University", "source_name": "Keele University, Staffordshire, United Kingdom", "street_adddress": "Keele, Newcastle ST5 5BG, UK", "lat": "53.00343730", "lng": "-2.27205300", "type": "edu", "country": "United Kingdom"}, {"name": "Kingston University London", "source_name": "Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE", "street_adddress": "Penrhyn Rd, Kingston upon Thames KT1 2EE, UK", "lat": "51.40324310", "lng": "-0.30348820", "type": "edu", "country": "United Kingdom"}, {"name": "Leeds Beckett University", "source_name": "Leeds Beckett University, West Yorkshire, United Kingdom", "street_adddress": "Leeds LS1 3HE, UK", "lat": "53.80364250", "lng": "-1.54742920", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451190"]}, {"id": "a9c9da8f8b4e58cf19cd1fee264f1f05f94f5ac0", "title": "Crowd collectiveness measure via graph-based node clique learning", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06170.pdf"], "doi": []}, {"id": "e1c5cc548f3b6ed5e76a24552832705e4fc0aa4e", "title": "Detect coherent motions in crowd scenes based on tracklets association", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351649"]}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "712d25810688673446202c43bd3d872e72f75bbe", "title": "Cluster-Based Crowd Movement Behavior Detection", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615809"]}, {"id": "64b22e5af5dc07309c85a742728ff6f476bd71d1", "title": "Modeling Collective Crowd Behaviors in Video", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/64b2/2e5af5dc07309c85a742728ff6f476bd71d1.pdf"], "doi": []}, {"id": "1a0e73f5319fe08dc92b049e0e3a82b8d052c741", "title": "Collective Density Clustering for Coherent Motion Detection", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100995", "http://doi.org/10.1109/TMM.2017.2771477"]}, {"id": "c33f02a04c7a7b683480e126230a0487ee0a1358", "title": "Crowded Scene Analysis: A Survey", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6898845"]}, {"id": "7ade8aade0d464ea9a677c7c22a51d1f81edb6e9", "title": "Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7ade/8aade0d464ea9a677c7c22a51d1f81edb6e9.pdf"], "doi": []}, {"id": "8ce5a8d409000d65c7d3b98074a3d3c178eb5ee6", "title": "A Role-Dependent Data-Driven Approach for High-Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3177776"]}, {"id": "865efdda03e296a5936c883b41c916333e008de7", "title": "Mixture of Switching Linear Dynamics to Discover Behavior Patterns in Object Tracks", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7121003"]}, {"id": "4085520db76eaf952a402d8018dee969d54dbe97", "title": "Trending Paths: A New Semantic-Level Metric for Comparing Simulated and Real Crowd Data", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797248"]}, {"id": "972f59c4b68ce4c911e7df83cb7bcca8b99932fa", "title": "Measuring orderliness based on social force model in collective motions", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706431"]}, {"id": "2637a5d0b677eb3145e5bc484337f99b8486014f", "title": "L0 Regularized Stationary Time Estimation for Crowd Group Analysis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/l0crowda_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yi_L0_Regularized_Stationary_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_dataset_stationaryCrowd.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_suppdf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909681", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.284", "http://doi.org/10.1109/CVPR.2014.284"]}, {"id": "d720fc6202edccf9b2d4506d1dc23d509e019b5e", "title": "Forecasting Events Using an Augmented Hidden Conditional Random Field", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/164.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150121085032/Forecasting-Events-using-an-Augmented-Hidden-Conditional-Random-Field-Paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16817-3_37"]}, {"id": "b322edcdb9f395d82a6fb4c6c640ec5340a24404", "title": "Semantic Analysis for Crowded Scenes Based on Non-Parametric Tracklet Clustering", "addresses": [{"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b322/edcdb9f395d82a6fb4c6c640ec5340a24404.pdf"], "doi": []}, {"id": "be21cd7fae28f04871ae69e5167fb676ee17a08a", "title": "Motion based Event Analysis", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/be21/cd7fae28f04871ae69e5167fb676ee17a08a.pdf"], "doi": []}, {"id": "e7975261539329e83a4b404c0da177f78c00dbd4", "title": "Counting People Crossing a Line Using Integer Programming and Local Features", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount-app.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295569", "http://doi.org/10.1109/TCSVT.2015.2489418"]}, {"id": "0b2fd54888fe77ddebdd4eeb53b72dfd1b73a9b8", "title": "Coherent Filtering: Detecting Coherent Motions from Crowd Clutters", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/bzhou/publication/boleieccv2012.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTWeccv12.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_61"]}, {"id": "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "title": "Automatic Event Detection for Signal-based Surveillance", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01611.pdf"], "doi": []}, {"id": "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "title": "Crowd Tracking by Group Structure Evolution", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583654", "http://doi.org/10.1109/TCSVT.2016.2615460"]}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "fa030e4b18e3d19336fdd406790efce04ab49524", "title": "Understanding Collective Activitiesof People from Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654151"]}, {"id": "87436afcf6e1d602ae4b72845cb27ae84825ef77", "title": "Modelling Human Movements With Turing Learning", "addresses": [{"name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "source_name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "street_adddress": "The Hague, Netherlands", "lat": "52.07049780", "lng": "4.30069990", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8628691"]}, {"id": "c229b92d12fc678c05db49b89bb333d1ff563cb6", "title": "An Efficient Method of Crowd Aggregation Computation in Public Areas", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7990566"]}, {"id": "966f2106b12d2425185add5666816abf8c834e64", "title": "Localization of region of interest in surveillance scene", "addresses": [{"name": "Haldia Institute of Technology, Haldia, India", "source_name": "Haldia Institute of Technology, Haldia, India", "street_adddress": "P.O HIT, HIT College Rd, Kshudiram Nagar, Haldia, West Bengal 721657, India", "lat": "22.05059210", "lng": "88.07221260", "type": "edu", "country": "India"}, {"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}, {"name": "Khalifa University", "source_name": "Khalifa University", "street_adddress": "Khalifa University, \u0634\u0627\u0631\u0639 \u0637\u064e\u0648\u0650\u064a \u0645\u064f\u0648\u064e\u064a\u0644\u0650\u062d, \u0642\u0635\u0631 \u0627\u0644\u0634\u0627\u0637\u0626, \u062d\u062f\u0628\u0629 \u0627\u0644\u0632\u0651\u064e\u0639\u0652\u0641\u0631\u0627\u0646\u0629, \u0623\u0628\u0648\u0638\u0628\u064a, \u0623\u0628\u0648 \u0638\u0628\u064a, 31757, \u0627\u0644\u0625\u0645\u0627\u0631\u0627\u062a \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0645\u062a\u062d\u062f\u0629", "lat": "24.44690250", "lng": "54.39425630", "type": "edu", "country": "United Arab Emirates"}, {"name": "National Institute of Technology, Durgapur", "source_name": "National Institute of Technology, Durgapur, India", "street_adddress": "National Institute Of Technology, Durgapur, Priyadarshini Indira Sarani, Durgapur, B\u0101nkur\u0101, West Bengal, 713209, India", "lat": "23.54869625", "lng": "87.29105712", "type": "edu", "country": "India"}, {"name": "Sookmyung Women\u2019s University", "source_name": "Sookmyung Women\u2019s University, Seoul, Republic of Korea", "street_adddress": "100 Cheongpa-ro 47-gil, Cheongpadong 2(i)-ga, Yongsan-gu, Seoul, South Korea", "lat": "37.54636440", "lng": "126.96483110", "type": "edu", "country": "South Korea"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3762-y"]}, {"id": "6e084ecb7e88d267ed1f0db7fca90a1c126bd361", "title": "Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517342"]}, {"id": "3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f", "title": "Social Signaling Descriptor for Group Behaviour Analysis", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3b1b/a9818e2ee6a54e7ec033c5b2ec8bdbe2935f.pdf"], "doi": []}, {"id": "5f2989f2c323a4fb5de8720cdfbbae1887d8e6bb", "title": "A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5f29/89f2c323a4fb5de8720cdfbbae1887d8e6bb.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "ce9321feeb4239ba69604a6b729abd0dc876f325", "title": "A State-ofthe-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ce93/21feeb4239ba69604a6b729abd0dc876f325.pdf"], "doi": []}, {"id": "b2b28eeeaa2b613bf30b5bfee5ec4272ce184bf3", "title": "Measuring Collectiveness via Refined Topological Similarity", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2854000"]}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "0ad6dc4554fd5c0212993677c160af31fd27e243", "title": "Measuring Crowd Collectiveness", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/projects/collectiveness/presentation_cvpr2013.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/final_collectiveness.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/pami.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d049.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhou_Measuring_Crowd_Collectiveness_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang//papers/zhouTWcvpr13.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTZXtpami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714561", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.392", "http://doi.org/10.1109/TPAMI.2014.2300484", "https://www.ncbi.nlm.nih.gov/pubmed/26353340", "https://www.wikidata.org/entity/Q50857290"]}, {"id": "806bf27919283dd4db3aef8a64e053ca5052840d", "title": "The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6576843", "http://doi.org/10.1109/TIFS.2013.2277773"]}, {"id": "e9c4c8639dc57f84dd698b91a27d9c30c90923f1", "title": "A Role-dependent Data-driven Approach for High Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2901382"]}, {"id": "cb733afac3a9a17463645ceda19406a684a19883", "title": "Model-driven multi-target tracking in crowd scenes", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641176"]}, {"id": "afa24eb881c7011e851f8a12dea32a7293cffefa", "title": "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2282-z", "https://www.wikidata.org/entity/Q57714766"]}, {"id": "259e4aca87b8724b4c9df2315b976237481a1929", "title": "Pedestrian Behavior Understanding and Prediction with Deep Neural Networks", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/259e/4aca87b8724b4c9df2315b976237481a1929.pdf"], "doi": []}, {"id": "46bdfee362a4de978d24d53fd704d64d82273718", "title": "Crowd Tracking with Dynamic Evolution of Group Structures", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}, {"name": "Shenzhen, China", "source_name": "Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940139.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_10"]}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "aed274a7e72bdd9250e22d22614b87c8b5bfe8ce", "title": "Profiling stationary crowd groups", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/yiWicme14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890138", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890138", "http://doi.org/10.1109/ICME.2014.6890138"]}, {"id": "7653348a68e20f1a85ddcb56fdb6623ab0927ca0", "title": "Detection of Global and Local Motion Changes in Human Crowds", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7524675"]}, {"id": "aa47114dd92bc6f2c01f579211ed006a7cb7d650", "title": "Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08391.pdf"], "doi": []}, {"id": "4c4622ae838ce86313c2979c0ebeec077713161e", "title": "A Bayesian Model for Crowd Escape Behavior Detection", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6574248", "http://doi.org/10.1109/TCSVT.2013.2276151"]}, {"id": "9bb00be1b904d162a6d3911897f89e93987a8c90", "title": "Understanding Crowd Collectivity : A Meta-Tracking Approach", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bb0/0be1b904d162a6d3911897f89e93987a8c90.pdf"], "doi": []}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "0b6f776c45b6f81cd9f9ae2bb8aca0bc2f541528", "title": "Crowd counting using accumulated HOG", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603465"]}, {"id": "814d60ed249c62314d389e8b8cb7d6794289b647", "title": "Modeling Trajectory-level Behaviors using Time Varying Pedestrian Movement Dynamics", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/814d/60ed249c62314d389e8b8cb7d6794289b647.pdf"], "doi": []}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "c68f3b6ab8782427cab32b474a094416e108c1e8", "title": "Crowd Scene Understanding with Coherent Recurrent Neural Networks", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c68f/3b6ab8782427cab32b474a094416e108c1e8.pdf"], "doi": []}, {"id": "4d5d49331c8ff096d6b02c8f84b3da9eede04ab7", "title": "Clustering Trajectories in Heterogeneous Representations for Video Event Detection", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451160"]}, {"id": "20eb15b26bb2da84bba2846d77a9c1b6150e2b72", "title": "Early Detection of Herding Behaviour during Emergency Evacuations", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/20eb/15b26bb2da84bba2846d77a9c1b6150e2b72.pdf"], "doi": []}, {"id": "a50099f5364d3d4e82991418647c727f0f9c297c", "title": "A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E100.D/8/E100.D_2016EDP7438/_pdf"], "doi": ["http://doi.org/10.1587/transinf.2016EDP7438", "http://search.ieice.org/bin/summary.php?id=e100-d_8_1827"]}]}
\ No newline at end of file +{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "paper": {"key": "cuhk_train_station", "name": "CUHK Train Station Dataset", "title": "Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents", "year": "2012"}, "address": {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, "citations": [{"id": "3c98a61bbe557b4f4c1655035e4aae43b7152bbe", "title": "Extracting descriptive motion information from crowd scenes", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402493"]}, {"id": "0b78c77c73ecbc07e8deb361e79d97660ce231a5", "title": "Social Attribute-Aware Force Model: Exploiting Richness of Interaction for Abnormal Crowd Detection", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.jdl.ac.cn/doc/2011/2016119833767489_social%20attribute-aware%20force%20model%20exploiting%20richness%20of%20interaction%20for%20abnormal%20crowd%20detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6894168", "http://doi.org/10.1109/TCSVT.2014.2355711"]}, {"id": "f424f6740dcfa7b27b4b5f6adec5f6acd4d6b2a3", "title": "Interactive and adaptive data-driven crowd simulation", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7504685"]}, {"id": "462346f8e30c54a5211589dc99164162e4b1e8e2", "title": "Data-Driven Agent-Based Simulation for Pedestrian Capacity Analysis", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://www.iccs-meeting.org/archive/iccs2018/papers/108610100.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-93701-4_8"]}, {"id": "37f35a05733e11cd490897a3c6d906abfe5ce434", "title": "Point-based path prediction from polar histograms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528123"]}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "e678d89c65f715294a9f7d14e32dd1b3ecf50246", "title": "Analyzing motion patterns in crowded scenes via automatic tracklets clustering", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6506940"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "840f2258318d3e339caee706c51c514d156ade8a", "title": "Motion pattern analysis in crowded scenes based on hybrid generative-discriminative feature maps", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738584"]}, {"id": "06ea877e7599c28d043fdbbcb6fe68b032dda008", "title": "Trajectory clustering for motion pattern extraction in aerial videos", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "source_name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025203"]}, {"id": "0912ea64eb6e1938c421566688b5eafd80d8f968", "title": "A \"semi-lazy\" approach to probabilistic path prediction", "addresses": [{"name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2487609"]}, {"id": "cbf14c7b515fa30b1da1f19e1610582dc7b2932f", "title": "Multi-modal recognition of manipulation activities through visual accelerometer tracking, relational histograms, and user-adaptation", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbf1/4c7b515fa30b1da1f19e1610582dc7b2932f.pdf"], "doi": []}, {"id": "2b102276e1d22b517cb482929b8c58db88647d9c", "title": "Kernel density estimation for target trajectory prediction", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7353858"]}, {"id": "aa358f4a0578234e301a305d8c5de8d859083a4c", "title": "Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2014/Discriminative%20Orderlet%20Mining%20For%20Real-time%20Recognition%20of%20Human-Object%20Interaction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/379.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_4"]}, {"id": "26bfabc72c937fd4feddf585b4989407dea90c59", "title": "Learning behavior patterns from video for agent-based crowd modeling and simulation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s10458-016-9334-8"]}, {"id": "296642b2aa7f2cad51b04aaa74426122e96f3a9a", "title": "Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930157.pdf", "http://www.varcity.eu/paper/eccv2014_manen_deceptiveness.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01140.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_11", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930157/esm2.PDF"]}, {"id": "9e4f23b76b0eb2cb209faabcc80011a2e12d31a8", "title": "Anchor-based group detection in crowd scenes", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952382"]}, {"id": "7c0b4ace044848f8e156e5ec898847a075905495", "title": "Pedestrian group attributes detection in crowded scenes", "addresses": [{"name": "Universiti Teknologi Petronas", "source_name": "Universiti Teknologi PETRONAS", "street_adddress": "UTP, Universiti Teknologi Petronas, Persiaran Desa Kediaman, Puncak Iskandar, Seri Iskandar, PRK, 32610, Malaysia", "lat": "4.38304640", "lng": "100.97001540", "type": "edu", "country": "Malaysia"}, {"name": "Umm Al-Qura University", "source_name": "Umm Al-Qura University, Mecca, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0623\u0645\u064a\u0631 \u0633\u0644\u0637\u0627\u0646 \u0628\u0646 \u0639\u0628\u062f \u0627\u0644\u0639\u0632\u064a\u0632\u060c Makkah Saudi Arabia", "lat": "21.32983610", "lng": "39.94888910", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075584", "http://doi.org/10.1109/ATSIP.2017.8075584"]}, {"id": "7e8e7d4901c1c95f6890cee58bf5759e17f3d2e4", "title": "Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition", "addresses": [{"name": "Keele University", "source_name": "Keele University, Staffordshire, United Kingdom", "street_adddress": "Keele, Newcastle ST5 5BG, UK", "lat": "53.00343730", "lng": "-2.27205300", "type": "edu", "country": "United Kingdom"}, {"name": "Kingston University London", "source_name": "Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE", "street_adddress": "Penrhyn Rd, Kingston upon Thames KT1 2EE, UK", "lat": "51.40324310", "lng": "-0.30348820", "type": "edu", "country": "United Kingdom"}, {"name": "Leeds Beckett University", "source_name": "Leeds Beckett University, West Yorkshire, United Kingdom", "street_adddress": "Leeds LS1 3HE, UK", "lat": "53.80364250", "lng": "-1.54742920", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451190"]}, {"id": "a9c9da8f8b4e58cf19cd1fee264f1f05f94f5ac0", "title": "Crowd collectiveness measure via graph-based node clique learning", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06170.pdf"], "doi": []}, {"id": "e1c5cc548f3b6ed5e76a24552832705e4fc0aa4e", "title": "Detect coherent motions in crowd scenes based on tracklets association", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351649"]}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "712d25810688673446202c43bd3d872e72f75bbe", "title": "Cluster-Based Crowd Movement Behavior Detection", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615809"]}, {"id": "64b22e5af5dc07309c85a742728ff6f476bd71d1", "title": "Modeling Collective Crowd Behaviors in Video", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/64b2/2e5af5dc07309c85a742728ff6f476bd71d1.pdf"], "doi": []}, {"id": "1a0e73f5319fe08dc92b049e0e3a82b8d052c741", "title": "Collective Density Clustering for Coherent Motion Detection", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100995", "http://doi.org/10.1109/TMM.2017.2771477"]}, {"id": "c33f02a04c7a7b683480e126230a0487ee0a1358", "title": "Crowded Scene Analysis: A Survey", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6898845"]}, {"id": "7ade8aade0d464ea9a677c7c22a51d1f81edb6e9", "title": "Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7ade/8aade0d464ea9a677c7c22a51d1f81edb6e9.pdf"], "doi": []}, {"id": "8ce5a8d409000d65c7d3b98074a3d3c178eb5ee6", "title": "A Role-Dependent Data-Driven Approach for High-Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3177776"]}, {"id": "865efdda03e296a5936c883b41c916333e008de7", "title": "Mixture of Switching Linear Dynamics to Discover Behavior Patterns in Object Tracks", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7121003"]}, {"id": "4085520db76eaf952a402d8018dee969d54dbe97", "title": "Trending Paths: A New Semantic-Level Metric for Comparing Simulated and Real Crowd Data", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797248"]}, {"id": "972f59c4b68ce4c911e7df83cb7bcca8b99932fa", "title": "Measuring orderliness based on social force model in collective motions", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706431"]}, {"id": "2637a5d0b677eb3145e5bc484337f99b8486014f", "title": "L0 Regularized Stationary Time Estimation for Crowd Group Analysis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/l0crowda_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yi_L0_Regularized_Stationary_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_dataset_stationaryCrowd.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_suppdf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909681", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.284", "http://doi.org/10.1109/CVPR.2014.284"]}, {"id": "d720fc6202edccf9b2d4506d1dc23d509e019b5e", "title": "Forecasting Events Using an Augmented Hidden Conditional Random Field", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/164.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150121085032/Forecasting-Events-using-an-Augmented-Hidden-Conditional-Random-Field-Paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16817-3_37"]}, {"id": "b322edcdb9f395d82a6fb4c6c640ec5340a24404", "title": "Semantic Analysis for Crowded Scenes Based on Non-Parametric Tracklet Clustering", "addresses": [{"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b322/edcdb9f395d82a6fb4c6c640ec5340a24404.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "be21cd7fae28f04871ae69e5167fb676ee17a08a", "title": "Motion based Event Analysis", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/be21/cd7fae28f04871ae69e5167fb676ee17a08a.pdf"], "doi": []}, {"id": "e7975261539329e83a4b404c0da177f78c00dbd4", "title": "Counting People Crossing a Line Using Integer Programming and Local Features", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount-app.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295569", "http://doi.org/10.1109/TCSVT.2015.2489418"]}, {"id": "0b2fd54888fe77ddebdd4eeb53b72dfd1b73a9b8", "title": "Coherent Filtering: Detecting Coherent Motions from Crowd Clutters", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/bzhou/publication/boleieccv2012.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTWeccv12.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_61"]}, {"id": "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "title": "Automatic Event Detection for Signal-based Surveillance", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01611.pdf"], "doi": []}, {"id": "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "title": "Crowd Tracking by Group Structure Evolution", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583654", "http://doi.org/10.1109/TCSVT.2016.2615460"]}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "fa030e4b18e3d19336fdd406790efce04ab49524", "title": "Understanding Collective Activitiesof People from Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654151"]}, {"id": "87436afcf6e1d602ae4b72845cb27ae84825ef77", "title": "Modelling Human Movements With Turing Learning", "addresses": [{"name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "source_name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "street_adddress": "The Hague, Netherlands", "lat": "52.07049780", "lng": "4.30069990", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8628691"]}, {"id": "c229b92d12fc678c05db49b89bb333d1ff563cb6", "title": "An Efficient Method of Crowd Aggregation Computation in Public Areas", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7990566"]}, {"id": "966f2106b12d2425185add5666816abf8c834e64", "title": "Localization of region of interest in surveillance scene", "addresses": [{"name": "Haldia Institute of Technology, Haldia, India", "source_name": "Haldia Institute of Technology, Haldia, India", "street_adddress": "P.O HIT, HIT College Rd, Kshudiram Nagar, Haldia, West Bengal 721657, India", "lat": "22.05059210", "lng": "88.07221260", "type": "edu", "country": "India"}, {"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}, {"name": "Khalifa University", "source_name": "Khalifa University", "street_adddress": "Khalifa University, \u0634\u0627\u0631\u0639 \u0637\u064e\u0648\u0650\u064a \u0645\u064f\u0648\u064e\u064a\u0644\u0650\u062d, \u0642\u0635\u0631 \u0627\u0644\u0634\u0627\u0637\u0626, \u062d\u062f\u0628\u0629 \u0627\u0644\u0632\u0651\u064e\u0639\u0652\u0641\u0631\u0627\u0646\u0629, \u0623\u0628\u0648\u0638\u0628\u064a, \u0623\u0628\u0648 \u0638\u0628\u064a, 31757, \u0627\u0644\u0625\u0645\u0627\u0631\u0627\u062a \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0645\u062a\u062d\u062f\u0629", "lat": "24.44690250", "lng": "54.39425630", "type": "edu", "country": "United Arab Emirates"}, {"name": "National Institute of Technology, Durgapur", "source_name": "National Institute of Technology, Durgapur, India", "street_adddress": "National Institute Of Technology, Durgapur, Priyadarshini Indira Sarani, Durgapur, B\u0101nkur\u0101, West Bengal, 713209, India", "lat": "23.54869625", "lng": "87.29105712", "type": "edu", "country": "India"}, {"name": "Sookmyung Women\u2019s University", "source_name": "Sookmyung Women\u2019s University, Seoul, Republic of Korea", "street_adddress": "100 Cheongpa-ro 47-gil, Cheongpadong 2(i)-ga, Yongsan-gu, Seoul, South Korea", "lat": "37.54636440", "lng": "126.96483110", "type": "edu", "country": "South Korea"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3762-y"]}, {"id": "6e084ecb7e88d267ed1f0db7fca90a1c126bd361", "title": "Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517342"]}, {"id": "3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f", "title": "Social Signaling Descriptor for Group Behaviour Analysis", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3b1b/a9818e2ee6a54e7ec033c5b2ec8bdbe2935f.pdf"], "doi": []}, {"id": "5f2989f2c323a4fb5de8720cdfbbae1887d8e6bb", "title": "A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5f29/89f2c323a4fb5de8720cdfbbae1887d8e6bb.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "ce9321feeb4239ba69604a6b729abd0dc876f325", "title": "A State-ofthe-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ce93/21feeb4239ba69604a6b729abd0dc876f325.pdf"], "doi": []}, {"id": "b2b28eeeaa2b613bf30b5bfee5ec4272ce184bf3", "title": "Measuring Collectiveness via Refined Topological Similarity", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2854000"]}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "0ad6dc4554fd5c0212993677c160af31fd27e243", "title": "Measuring Crowd Collectiveness", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/projects/collectiveness/presentation_cvpr2013.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/final_collectiveness.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/pami.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d049.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhou_Measuring_Crowd_Collectiveness_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang//papers/zhouTWcvpr13.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTZXtpami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714561", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.392", "http://doi.org/10.1109/TPAMI.2014.2300484", "https://www.ncbi.nlm.nih.gov/pubmed/26353340", "https://www.wikidata.org/entity/Q50857290"]}, {"id": "806bf27919283dd4db3aef8a64e053ca5052840d", "title": "The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6576843", "http://doi.org/10.1109/TIFS.2013.2277773"]}, {"id": "e9c4c8639dc57f84dd698b91a27d9c30c90923f1", "title": "A Role-dependent Data-driven Approach for High Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2901382"]}, {"id": "cb733afac3a9a17463645ceda19406a684a19883", "title": "Model-driven multi-target tracking in crowd scenes", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641176"]}, {"id": "afa24eb881c7011e851f8a12dea32a7293cffefa", "title": "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2282-z", "https://www.wikidata.org/entity/Q57714766"]}, {"id": "259e4aca87b8724b4c9df2315b976237481a1929", "title": "Pedestrian Behavior Understanding and Prediction with Deep Neural Networks", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/259e/4aca87b8724b4c9df2315b976237481a1929.pdf"], "doi": []}, {"id": "46bdfee362a4de978d24d53fd704d64d82273718", "title": "Crowd Tracking with Dynamic Evolution of Group Structures", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}, {"name": "Shenzhen, China", "source_name": "Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940139.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_10"]}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "aed274a7e72bdd9250e22d22614b87c8b5bfe8ce", "title": "Profiling stationary crowd groups", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/yiWicme14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890138", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890138", "http://doi.org/10.1109/ICME.2014.6890138"]}, {"id": "7653348a68e20f1a85ddcb56fdb6623ab0927ca0", "title": "Detection of Global and Local Motion Changes in Human Crowds", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7524675"]}, {"id": "aa47114dd92bc6f2c01f579211ed006a7cb7d650", "title": "Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08391.pdf"], "doi": []}, {"id": "4c4622ae838ce86313c2979c0ebeec077713161e", "title": "A Bayesian Model for Crowd Escape Behavior Detection", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6574248", "http://doi.org/10.1109/TCSVT.2013.2276151"]}, {"id": "9bb00be1b904d162a6d3911897f89e93987a8c90", "title": "Understanding Crowd Collectivity : A Meta-Tracking Approach", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bb0/0be1b904d162a6d3911897f89e93987a8c90.pdf"], "doi": []}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "0b6f776c45b6f81cd9f9ae2bb8aca0bc2f541528", "title": "Crowd counting using accumulated HOG", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603465"]}, {"id": "814d60ed249c62314d389e8b8cb7d6794289b647", "title": "Modeling Trajectory-level Behaviors using Time Varying Pedestrian Movement Dynamics", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/814d/60ed249c62314d389e8b8cb7d6794289b647.pdf"], "doi": []}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "c68f3b6ab8782427cab32b474a094416e108c1e8", "title": "Crowd Scene Understanding with Coherent Recurrent Neural Networks", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c68f/3b6ab8782427cab32b474a094416e108c1e8.pdf"], "doi": []}, {"id": "4d5d49331c8ff096d6b02c8f84b3da9eede04ab7", "title": "Clustering Trajectories in Heterogeneous Representations for Video Event Detection", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451160"]}, {"id": "20eb15b26bb2da84bba2846d77a9c1b6150e2b72", "title": "Early Detection of Herding Behaviour during Emergency Evacuations", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/20eb/15b26bb2da84bba2846d77a9c1b6150e2b72.pdf"], "doi": []}, {"id": "a50099f5364d3d4e82991418647c727f0f9c297c", "title": "A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E100.D/8/E100.D_2016EDP7438/_pdf"], "doi": ["http://doi.org/10.1587/transinf.2016EDP7438", "http://search.ieice.org/bin/summary.php?id=e100-d_8_1827"]}]}
\ No newline at end of file diff --git a/site/datasets/citations/duke_mtmc.json b/site/datasets/citations/duke_mtmc.json index 19e24c3b..163e5d86 100644 --- a/site/datasets/citations/duke_mtmc.json +++ b/site/datasets/citations/duke_mtmc.json @@ -1 +1 @@ -{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "paper": {"key": "duke_mtmc", "name": "Duke MTMC", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016"}, "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "citations": [{"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "8c7ee7acf850562e7515a3e01800c98cc393e62b", "title": "Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3241059"]}, {"id": "1ec8e7879c616a53dbc7903705d5b0840c1945ad", "title": "Pedestrian attributes recognition in surveillance scenarios with hierarchical multi-task CNN models", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594728"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "2ac02e4021d903a6d115cc774a3ee7cbf8a532a5", "title": "Joint tracking with event grouping and temporal constraints", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078515"]}, {"id": "5c976886fcda366d138038f796a1bd9e8e9b5066", "title": "LSTM Multiple Object Tracker Combining Multiple Cues", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451739", "http://doi.org/10.1109/ICIP.2018.8451739"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "paper": {"key": "duke_mtmc", "name": "Duke MTMC", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016"}, "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "citations": [{"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "8c7ee7acf850562e7515a3e01800c98cc393e62b", "title": "Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3241059"]}, {"id": "1ec8e7879c616a53dbc7903705d5b0840c1945ad", "title": "Pedestrian attributes recognition in surveillance scenarios with hierarchical multi-task CNN models", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594728"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "2ac02e4021d903a6d115cc774a3ee7cbf8a532a5", "title": "Joint tracking with event grouping and temporal constraints", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078515"]}, {"id": "5c976886fcda366d138038f796a1bd9e8e9b5066", "title": "LSTM Multiple Object Tracker Combining Multiple Cues", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451739", "http://doi.org/10.1109/ICIP.2018.8451739"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/citations/ilids_mcts_vid.json b/site/datasets/citations/ilids_mcts_vid.json index a462412e..40aba5e2 100644 --- a/site/datasets/citations/ilids_mcts_vid.json +++ b/site/datasets/citations/ilids_mcts_vid.json @@ -1 +1 @@ -{"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "paper": {"key": "ilids_mcts_vid", "name": "iLIDS-VID", "title": "Person Re-identification by Video Ranking", "year": "2014"}, "address": {}, "citations": [{"id": "f49734bc34cb7cc50938a18e72d5fe338fa8a8fd", "title": "Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos", "addresses": [{"name": "Jyothi Institute of Technology, Bengaluru, India", "source_name": "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "street_adddress": "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "lat": "12.84122790", "lng": "77.51195860", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-017-0136-9"]}, {"id": "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "title": "Dynamic Label Graph Matching for Unsupervised Video Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09297.pdf"], "doi": []}, {"id": "014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7", "title": "Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ab6e/d75e1b1952e4461fc603bcfd042bb462635f.pdf"], "doi": []}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "8899b274fdb4ff77de40a15a958ab5ea4b4a6477", "title": "Deep spatio-temporal network for accurate person re-identification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001673"]}, {"id": "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "title": "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240622"]}, {"id": "15d99a8ebf09304916a082a4effdb215ff0a54f0", "title": "Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451494", "http://doi.org/10.1109/ICIP.2018.8451494"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "745d289e559dcbbfb938790735aa221fbb585a05", "title": "Distributed and Unsupervised Cost-Driven Person Re-Identification", "addresses": [{"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/5th%20%20Choice/0171.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899804", "http://doi.org/10.1109/ICPR.2016.7899804"]}, {"id": "92dbaaabb91d14ec71843970c604303680c26695", "title": "Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296253", "http://doi.org/10.1109/ICIP.2017.8296253"]}, {"id": "6b6207c49c7b41b171388fc2228304de148f0a96", "title": "Person Search by Multi-Scale Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08582.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "title": "Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05799.pdf"], "doi": []}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "c25a71d01255b96c08dc36e79dc7200347574a04", "title": "Multi-shot person re-identification using a novel video covariance approach", "addresses": [{"name": "Sfax University", "source_name": "Laboratory of Computer and Embedded Systems, Sfax University, Sfax, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019640"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "fac6b4562053853db517ff6511c6daff2e6a1a7b", "title": "Deep Low-Resolution Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fac6/b4562053853db517ff6511c6daff2e6a1a7b.pdf"], "doi": []}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "title": "Attributes co-occurrence pattern mining for video-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078469", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078469", "http://doi.org/10.1109/AVSS.2017.8078469"]}, {"id": "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "title": "A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00975.pdf"], "doi": []}, {"id": "e0c6748799529ee035b21f040187d1e6df232624", "title": "Temporally aligned pooling representation for video-based person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533168", "http://doi.org/10.1109/ICIP.2016.7533168"]}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "title": "Improving Person Re-identification via Pose-Aware Multi-shot Matching", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cho_Improving_Person_Re-Identification_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780520", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.151", "http://doi.org/10.1109/CVPR.2016.151"]}, {"id": "53baabad70915a852477c2191b8bdb005b8cc4a5", "title": "Temporal-Enhanced Convolutional Network for Person Re-Identification", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53ba/abad70915a852477c2191b8bdb005b8cc4a5.pdf"], "doi": []}, {"id": "99eb4cea0d9bc9fe777a5c5172f8638a37a7f262", "title": "Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning", "addresses": [{"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7480858", "http://doi.org/10.1109/LSP.2016.2574323"]}, {"id": "61f56afc7713ebfacfe382d1824966cb9b967d34", "title": "An Ensemble of Invariant Features for Person Reidentification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Huawei Research and Development, Santa Clara, CA", "source_name": "Huawei Research and Development, Santa Clara, CA, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779129", "http://doi.org/10.1109/TCSVT.2016.2637818"]}, {"id": "ffe3d6fcfee0378e7afa0eb334a454144b5bd272", "title": "Semi-Coupled Dictionary Learning With Relaxation Label Space Transformation for Video-Based Person Re-Identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286855", "http://doi.org/10.1109/ACCESS.2018.2803789"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "title": "Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1afd/c0b42d25df25a7cd4b304493e9b521c84f0f.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "43edcd7968be3abd25f8ec44ab6d6182b7277afd", "title": "Spatial Quality Aware Network for Video-Based Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_4"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "5fb23b55de1c613517f55a1b878bc68bd4b543e3", "title": "Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01119.pdf"], "doi": []}, {"id": "774b649c75078e10759b3b6c8ea581e68fc45a40", "title": "Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2c8a/064665c280942ba717a46c590b4735a8fc1e.pdf"], "doi": []}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "9f1b39e8d157b74181c666e85e5d55550d762409", "title": "Three-Stream Convolutional Networks for Video-based Person Re-Identification", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01652.pdf"], "doi": []}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "15180235b45506f87057f53d688729fbd9f2e291", "title": "A new method of video-surveillance data analytics for the security in camera networks", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "University of Technology of Troyes", "source_name": "Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325928"]}, {"id": "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "title": "Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4649-2"]}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "3e90a70d768415e28fbf0dd56e53f8933784c416", "title": "Highly Efficient Regression for Scalable Person Re-Identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01341.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "ab1b95677e8ea0f9881520b34a5f8192d141ef0e", "title": "Corrections to \u201cRelevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities\u201d [Dec 15 4741-4755]", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364308", "http://doi.org/10.1109/TIP.2015.2466117", "https://www.ncbi.nlm.nih.gov/pubmed/26259221", "https://www.wikidata.org/entity/Q39195975"]}, {"id": "e7d840cf207802918e5b09af0a650b8f38f824a8", "title": "Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03989.pdf"], "doi": []}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "1ecbcdf1ff0b78170b39985a26a7ab034ab73c60", "title": "Multi-view based coupled dictionary learning for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304357", "http://doi.org/10.1109/SPAC.2017.8304357"]}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "700ae4e8a6e64e08a5d551bf174f31ca20b61e18", "title": "Phasic maximal and local maximal occurrence representation for video-based person re-identification", "addresses": [{"name": "PLA University of Science and Technology", "source_name": "PLA University of Science and Technology, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8230298"]}, {"id": "ef230e3df720abf2983ba6b347c9d46283e4b690", "title": "QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef23/0e3df720abf2983ba6b347c9d46283e4b690.pdf"], "doi": []}, {"id": "19bcd3bd41825a67f48db701a68030c5e6763152", "title": "Partial Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengEtAl_ICCV2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410888", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.531", "http://doi.org/10.1109/ICCV.2015.531"]}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "9963c73b03e4649959f021ef6f4fb1eac0b617d2", "title": "Person Reidentification Using Multiple Egocentric Views", "addresses": [{"name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "source_name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2017/Person%20Re-identification%20Using%20Multiple%20Egocentric%20Views.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583680", "http://doi.org/10.1109/TCSVT.2016.2615445"]}, {"id": "df6934f32d0b9810ba29a8155a7712ed1155cf9b", "title": "Tracklet and Signature Representation for Multi-Shot Person Re-Identification", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570441"]}, {"id": "19ae769aa067b5bd781882cd18551f7abe01bcf1", "title": "Data Generation for Improving Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123302"]}, {"id": "411278b73afedca6976f02a8d3a38cdec3337f87", "title": "Cross-view projective dictionary learning for person re-identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ijcai.org/Proceedings/15/Papers/305.pdf", "http://www.ijcai.org/Proceedings/15/Papers/305.pdf"], "doi": ["http://ijcai.org/Abstract/15/305"]}, {"id": "53881bb35cb98c788f75fbc8c76198ccbc50edbf", "title": "Selective experience replay in reinforcement learning for reidentification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2016/selective%20experience.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533161", "http://doi.org/10.1109/ICIP.2016.7533161"]}, {"id": "c27ef63f9611c5ccde35d25344b25205973a9c6e", "title": "RAM: Role Representation and Identification from combined Appearance and Activity Maps", "addresses": [{"name": "Santa Barbara Cottage Hospital", "source_name": "Santa Barbara Cottage Hospital", "street_adddress": "West Junipero St. and, Castillo St, Santa Barbara, CA 93105, United States", "lat": "34.43044630", "lng": "-119.72379670", "type": "edu", "country": "United States"}, {"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131928"]}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "9c675774d49be7ba428c80142cb63ed4267d3c46", "title": "Low illumination person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6239-3"]}, {"id": "52a152b985b298be4b382d0b6045e31f43850c6f", "title": "Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00553.pdf"], "doi": []}, {"id": "7965b2ce7d64991218515e20fc1fc0459fd20a38", "title": "Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11261.pdf"], "doi": []}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "b30f9116df47ba70a71e04ba8722a13f87719599", "title": "A spatio-temporal covariance descriptor for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "University of Technology of Troyes", "source_name": "Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7489188", "http://doi.org/10.1109/ISDA.2015.7489188"]}, {"id": "97527b3c58591926800e3586e13d99a8cf5b17ff", "title": "Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Technology, Princeton, NJ, USA", "source_name": "Siemens Corporate Technology, Princeton, NJ, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-tcsvt17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7994636", "http://doi.org/10.1109/TCSVT.2017.2732822"]}, {"id": "e3471f481c6b61489d8d48eb4668286f7db890da", "title": "Human body part classification from optical flow", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7734006", "http://doi.org/10.1109/URAI.2016.7734006"]}, {"id": "75150b16cee83641f01074568fe4b2d2eb3d0a31", "title": "Sparse coding with cross-view invariant dictionaries for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4893-5"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d348197e47a8e081bd3f12a22bc52b055ecd8302", "title": "Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07085.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "e56f2c9c0a2cf1db7ec49527cb70b345ec71cfbd", "title": "Person re-identification using a patch-based appearance model", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532460", "http://doi.org/10.1109/ICIP.2016.7532460"]}, {"id": "52118fbfbb0ad29e8eefee27438fdfc51b350c8f", "title": "MidRank: Learning to rank based on subsequences", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08951.pdf"], "doi": []}, {"id": "c9018677ec5bf65d92fd9fefdbd32c4e292dc2e4", "title": "A fast adaptive spatio-temporal 3D feature for video-based person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533170", "http://doi.org/10.1109/ICIP.2016.7533170"]}, {"id": "ddca5c18415bb855e76f9f459747685ee9c23a4d", "title": "MSMCT: Multi-State Multi-Camera Tracker", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048028", "http://doi.org/10.1109/TCSVT.2017.2755038"]}, {"id": "ac36284cfa95e613f9e726cd017a5dca207fe633", "title": "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7859378", "http://doi.org/10.1109/TIP.2017.2672440", "https://www.ncbi.nlm.nih.gov/pubmed/28237930", "https://www.wikidata.org/entity/Q53478605"]}, {"id": "0269312a7d49209fd9f1875e24df6a1d178fb15c", "title": "Subject centric group feature for person re-identification", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W04/papers/Wei_Subject_Centric_Group_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301280", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301280", "http://doi.org/10.1109/CVPRW.2015.7301280"]}, {"id": "7f45292369a5214984b4a15c65330ada474b0150", "title": "Person re-identification with spatial appearance group feature", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7568919"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "52ed30920f2f96970c4f79d6768436ed855dad42", "title": "Active image pair selection for continuous person re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://cs-people.bu.edu/dasabir/papers/ICIP_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351610", "http://doi.org/10.1109/ICIP.2015.7351610"]}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "title": "Independent metric learning with aligned multi-part features for video-based person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-7119-6"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "0318c74b1cdec63de4c9577e9e600a48241adfc2", "title": "Sparse re-id: Block sparsity for person re-identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-msf15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W14/papers/Karanam_Sparse_Re-Id_Block_2015_CVPR_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-msf15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301392", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301392", "http://doi.org/10.1109/CVPRW.2015.7301392"]}, {"id": "033f0a769c60ea47928a805ea0b000278748c271", "title": "Diversity regularized metric learning for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533164", "http://doi.org/10.1109/ICIP.2016.7533164"]}, {"id": "21fbcd455db2ed78d47d10fd16ed88b667632906", "title": "Weight-based sparse coding for multi-shot person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11432-015-5404-9"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "1eab461a69ea758bf433342a35c6035876d45f3a", "title": "Learning to Rank Based on Subsequences", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~basura/papers/ICCV_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fernando_Learning_to_Rank_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410676", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.319", "http://doi.org/10.1109/ICCV.2015.319"]}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "bfec95482dc40936cbb33d386890aad48483adc4", "title": "An ensemble of invariant features for person re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "ETRI, Korea", "source_name": "SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340791", "http://doi.org/10.1109/MMSP.2015.7340791"]}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "89198580f18cad7f62393732868a977ffae57917", "title": "Person re-identification by distance metric learning to discrete hashing", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532465", "http://doi.org/10.1109/ICIP.2016.7532465"]}, {"id": "f5d9da15409bbed02a640c4e716a456b659c8346", "title": "Attentional convolutional neural networks for object tracking", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8384903"]}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "7346838bcd4c372fe79cb85ac519e0b4f06fd7b5", "title": "LOMO3D descriptor for video-based person re-identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309044", "http://doi.org/10.1109/GlobalSIP.2017.8309044"]}, {"id": "4996e64c24cef33d0f7e5a2b1c3baf00e51493e6", "title": "Deep Relative Distance Learning: Tell the Difference between Similar Vehicles", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.238", "http://doi.org/10.1109/CVPR.2016.238"]}, {"id": "012cdba79f672e45240791d6c52f213640347b54", "title": "Cross-view transformation based sparse reconstruction for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900161", "http://doi.org/10.1109/ICPR.2016.7900161"]}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "c458db5d616058fbd9de19acc6c82827396cf195", "title": "Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-iccv15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410870", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.513", "http://doi.org/10.1109/ICCV.2015.513"]}, {"id": "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "title": "A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410791"]}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "314142838289cac416098cbc2bbe796dcbd2357b", "title": "Fusion of Interest Point/Image based descriptors for efficient person re-identification", "addresses": [{"name": "University of Paris-Saclay", "source_name": "SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France", "street_adddress": "Courcouronnes, 9 Rue Charles Fourier, 91000 \u00c9vry, France", "lat": "48.62468830", "lng": "2.44325110", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489111", "http://doi.org/10.1109/IJCNN.2018.8489111"]}, {"id": "589d06db45e2319b29fc96582ea6c8be369f57ed", "title": "Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/589d/06db45e2319b29fc96582ea6c8be369f57ed.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "paper": {"key": "ilids_mcts_vid", "name": "iLIDS-VID", "title": "Person Re-identification by Video Ranking", "year": "2014"}, "address": {}, "citations": [{"id": "f49734bc34cb7cc50938a18e72d5fe338fa8a8fd", "title": "Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos", "addresses": [{"name": "Jyothi Institute of Technology, Bengaluru, India", "source_name": "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "street_adddress": "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "lat": "12.84122790", "lng": "77.51195860", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-017-0136-9"]}, {"id": "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "title": "Dynamic Label Graph Matching for Unsupervised Video Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09297.pdf"], "doi": []}, {"id": "014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7", "title": "Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ab6e/d75e1b1952e4461fc603bcfd042bb462635f.pdf"], "doi": []}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "8899b274fdb4ff77de40a15a958ab5ea4b4a6477", "title": "Deep spatio-temporal network for accurate person re-identification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001673"]}, {"id": "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "title": "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240622"]}, {"id": "15d99a8ebf09304916a082a4effdb215ff0a54f0", "title": "Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451494", "http://doi.org/10.1109/ICIP.2018.8451494"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "745d289e559dcbbfb938790735aa221fbb585a05", "title": "Distributed and Unsupervised Cost-Driven Person Re-Identification", "addresses": [{"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/5th%20%20Choice/0171.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899804", "http://doi.org/10.1109/ICPR.2016.7899804"]}, {"id": "92dbaaabb91d14ec71843970c604303680c26695", "title": "Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296253", "http://doi.org/10.1109/ICIP.2017.8296253"]}, {"id": "6b6207c49c7b41b171388fc2228304de148f0a96", "title": "Person Search by Multi-Scale Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08582.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "title": "Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05799.pdf"], "doi": []}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "c25a71d01255b96c08dc36e79dc7200347574a04", "title": "Multi-shot person re-identification using a novel video covariance approach", "addresses": [{"name": "Sfax University", "source_name": "Laboratory of Computer and Embedded Systems, Sfax University, Sfax, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019640"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "fac6b4562053853db517ff6511c6daff2e6a1a7b", "title": "Deep Low-Resolution Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fac6/b4562053853db517ff6511c6daff2e6a1a7b.pdf"], "doi": []}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "title": "Attributes co-occurrence pattern mining for video-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078469", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078469", "http://doi.org/10.1109/AVSS.2017.8078469"]}, {"id": "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "title": "A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00975.pdf"], "doi": []}, {"id": "e0c6748799529ee035b21f040187d1e6df232624", "title": "Temporally aligned pooling representation for video-based person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533168", "http://doi.org/10.1109/ICIP.2016.7533168"]}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "title": "Improving Person Re-identification via Pose-Aware Multi-shot Matching", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cho_Improving_Person_Re-Identification_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780520", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.151", "http://doi.org/10.1109/CVPR.2016.151"]}, {"id": "53baabad70915a852477c2191b8bdb005b8cc4a5", "title": "Temporal-Enhanced Convolutional Network for Person Re-Identification", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53ba/abad70915a852477c2191b8bdb005b8cc4a5.pdf"], "doi": []}, {"id": "99eb4cea0d9bc9fe777a5c5172f8638a37a7f262", "title": "Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning", "addresses": [{"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7480858", "http://doi.org/10.1109/LSP.2016.2574323"]}, {"id": "61f56afc7713ebfacfe382d1824966cb9b967d34", "title": "An Ensemble of Invariant Features for Person Reidentification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Huawei Research and Development, Santa Clara, CA", "source_name": "Huawei Research and Development, Santa Clara, CA, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779129", "http://doi.org/10.1109/TCSVT.2016.2637818"]}, {"id": "ffe3d6fcfee0378e7afa0eb334a454144b5bd272", "title": "Semi-Coupled Dictionary Learning With Relaxation Label Space Transformation for Video-Based Person Re-Identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286855", "http://doi.org/10.1109/ACCESS.2018.2803789"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "title": "Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1afd/c0b42d25df25a7cd4b304493e9b521c84f0f.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "43edcd7968be3abd25f8ec44ab6d6182b7277afd", "title": "Spatial Quality Aware Network for Video-Based Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_4"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "5fb23b55de1c613517f55a1b878bc68bd4b543e3", "title": "Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01119.pdf"], "doi": []}, {"id": "774b649c75078e10759b3b6c8ea581e68fc45a40", "title": "Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2c8a/064665c280942ba717a46c590b4735a8fc1e.pdf"], "doi": []}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "9f1b39e8d157b74181c666e85e5d55550d762409", "title": "Three-Stream Convolutional Networks for Video-based Person Re-Identification", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01652.pdf"], "doi": []}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "15180235b45506f87057f53d688729fbd9f2e291", "title": "A new method of video-surveillance data analytics for the security in camera networks", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "University of Technology of Troyes", "source_name": "Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325928"]}, {"id": "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "title": "Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4649-2"]}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "3e90a70d768415e28fbf0dd56e53f8933784c416", "title": "Highly Efficient Regression for Scalable Person Re-Identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01341.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "ab1b95677e8ea0f9881520b34a5f8192d141ef0e", "title": "Corrections to \u201cRelevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities\u201d [Dec 15 4741-4755]", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364308", "http://doi.org/10.1109/TIP.2015.2466117", "https://www.ncbi.nlm.nih.gov/pubmed/26259221", "https://www.wikidata.org/entity/Q39195975"]}, {"id": "e7d840cf207802918e5b09af0a650b8f38f824a8", "title": "Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03989.pdf"], "doi": []}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "1ecbcdf1ff0b78170b39985a26a7ab034ab73c60", "title": "Multi-view based coupled dictionary learning for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304357", "http://doi.org/10.1109/SPAC.2017.8304357"]}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "700ae4e8a6e64e08a5d551bf174f31ca20b61e18", "title": "Phasic maximal and local maximal occurrence representation for video-based person re-identification", "addresses": [{"name": "PLA University of Science and Technology", "source_name": "PLA University of Science and Technology, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8230298"]}, {"id": "ef230e3df720abf2983ba6b347c9d46283e4b690", "title": "QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef23/0e3df720abf2983ba6b347c9d46283e4b690.pdf"], "doi": []}, {"id": "19bcd3bd41825a67f48db701a68030c5e6763152", "title": "Partial Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengEtAl_ICCV2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410888", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.531", "http://doi.org/10.1109/ICCV.2015.531"]}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "9963c73b03e4649959f021ef6f4fb1eac0b617d2", "title": "Person Reidentification Using Multiple Egocentric Views", "addresses": [{"name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "source_name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2017/Person%20Re-identification%20Using%20Multiple%20Egocentric%20Views.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583680", "http://doi.org/10.1109/TCSVT.2016.2615445"]}, {"id": "df6934f32d0b9810ba29a8155a7712ed1155cf9b", "title": "Tracklet and Signature Representation for Multi-Shot Person Re-Identification", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570441"]}, {"id": "19ae769aa067b5bd781882cd18551f7abe01bcf1", "title": "Data Generation for Improving Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123302"]}, {"id": "411278b73afedca6976f02a8d3a38cdec3337f87", "title": "Cross-view projective dictionary learning for person re-identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ijcai.org/Proceedings/15/Papers/305.pdf", "http://www.ijcai.org/Proceedings/15/Papers/305.pdf"], "doi": ["http://ijcai.org/Abstract/15/305"]}, {"id": "53881bb35cb98c788f75fbc8c76198ccbc50edbf", "title": "Selective experience replay in reinforcement learning for reidentification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2016/selective%20experience.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533161", "http://doi.org/10.1109/ICIP.2016.7533161"]}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "c27ef63f9611c5ccde35d25344b25205973a9c6e", "title": "RAM: Role Representation and Identification from combined Appearance and Activity Maps", "addresses": [{"name": "Santa Barbara Cottage Hospital", "source_name": "Santa Barbara Cottage Hospital", "street_adddress": "West Junipero St. and, Castillo St, Santa Barbara, CA 93105, United States", "lat": "34.43044630", "lng": "-119.72379670", "type": "edu", "country": "United States"}, {"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131928"]}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "9c675774d49be7ba428c80142cb63ed4267d3c46", "title": "Low illumination person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6239-3"]}, {"id": "52a152b985b298be4b382d0b6045e31f43850c6f", "title": "Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00553.pdf"], "doi": []}, {"id": "7965b2ce7d64991218515e20fc1fc0459fd20a38", "title": "Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11261.pdf"], "doi": []}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "b30f9116df47ba70a71e04ba8722a13f87719599", "title": "A spatio-temporal covariance descriptor for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "University of Technology of Troyes", "source_name": "Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7489188", "http://doi.org/10.1109/ISDA.2015.7489188"]}, {"id": "97527b3c58591926800e3586e13d99a8cf5b17ff", "title": "Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Technology, Princeton, NJ, USA", "source_name": "Siemens Corporate Technology, Princeton, NJ, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-tcsvt17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7994636", "http://doi.org/10.1109/TCSVT.2017.2732822"]}, {"id": "e3471f481c6b61489d8d48eb4668286f7db890da", "title": "Human body part classification from optical flow", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7734006", "http://doi.org/10.1109/URAI.2016.7734006"]}, {"id": "75150b16cee83641f01074568fe4b2d2eb3d0a31", "title": "Sparse coding with cross-view invariant dictionaries for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4893-5"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d348197e47a8e081bd3f12a22bc52b055ecd8302", "title": "Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07085.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "e56f2c9c0a2cf1db7ec49527cb70b345ec71cfbd", "title": "Person re-identification using a patch-based appearance model", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532460", "http://doi.org/10.1109/ICIP.2016.7532460"]}, {"id": "52118fbfbb0ad29e8eefee27438fdfc51b350c8f", "title": "MidRank: Learning to rank based on subsequences", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08951.pdf"], "doi": []}, {"id": "c9018677ec5bf65d92fd9fefdbd32c4e292dc2e4", "title": "A fast adaptive spatio-temporal 3D feature for video-based person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533170", "http://doi.org/10.1109/ICIP.2016.7533170"]}, {"id": "ddca5c18415bb855e76f9f459747685ee9c23a4d", "title": "MSMCT: Multi-State Multi-Camera Tracker", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048028", "http://doi.org/10.1109/TCSVT.2017.2755038"]}, {"id": "ac36284cfa95e613f9e726cd017a5dca207fe633", "title": "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7859378", "http://doi.org/10.1109/TIP.2017.2672440", "https://www.ncbi.nlm.nih.gov/pubmed/28237930", "https://www.wikidata.org/entity/Q53478605"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "0269312a7d49209fd9f1875e24df6a1d178fb15c", "title": "Subject centric group feature for person re-identification", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W04/papers/Wei_Subject_Centric_Group_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301280", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301280", "http://doi.org/10.1109/CVPRW.2015.7301280"]}, {"id": "7f45292369a5214984b4a15c65330ada474b0150", "title": "Person re-identification with spatial appearance group feature", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7568919"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "52ed30920f2f96970c4f79d6768436ed855dad42", "title": "Active image pair selection for continuous person re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://cs-people.bu.edu/dasabir/papers/ICIP_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351610", "http://doi.org/10.1109/ICIP.2015.7351610"]}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "title": "Independent metric learning with aligned multi-part features for video-based person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-7119-6"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "0318c74b1cdec63de4c9577e9e600a48241adfc2", "title": "Sparse re-id: Block sparsity for person re-identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-msf15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W14/papers/Karanam_Sparse_Re-Id_Block_2015_CVPR_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-msf15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301392", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301392", "http://doi.org/10.1109/CVPRW.2015.7301392"]}, {"id": "033f0a769c60ea47928a805ea0b000278748c271", "title": "Diversity regularized metric learning for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533164", "http://doi.org/10.1109/ICIP.2016.7533164"]}, {"id": "21fbcd455db2ed78d47d10fd16ed88b667632906", "title": "Weight-based sparse coding for multi-shot person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11432-015-5404-9"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "1eab461a69ea758bf433342a35c6035876d45f3a", "title": "Learning to Rank Based on Subsequences", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~basura/papers/ICCV_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fernando_Learning_to_Rank_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410676", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.319", "http://doi.org/10.1109/ICCV.2015.319"]}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "bfec95482dc40936cbb33d386890aad48483adc4", "title": "An ensemble of invariant features for person re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "ETRI, Korea", "source_name": "SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340791", "http://doi.org/10.1109/MMSP.2015.7340791"]}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "89198580f18cad7f62393732868a977ffae57917", "title": "Person re-identification by distance metric learning to discrete hashing", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532465", "http://doi.org/10.1109/ICIP.2016.7532465"]}, {"id": "f5d9da15409bbed02a640c4e716a456b659c8346", "title": "Attentional convolutional neural networks for object tracking", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8384903"]}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "7346838bcd4c372fe79cb85ac519e0b4f06fd7b5", "title": "LOMO3D descriptor for video-based person re-identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309044", "http://doi.org/10.1109/GlobalSIP.2017.8309044"]}, {"id": "4996e64c24cef33d0f7e5a2b1c3baf00e51493e6", "title": "Deep Relative Distance Learning: Tell the Difference between Similar Vehicles", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.238", "http://doi.org/10.1109/CVPR.2016.238"]}, {"id": "012cdba79f672e45240791d6c52f213640347b54", "title": "Cross-view transformation based sparse reconstruction for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900161", "http://doi.org/10.1109/ICPR.2016.7900161"]}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "c458db5d616058fbd9de19acc6c82827396cf195", "title": "Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-iccv15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410870", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.513", "http://doi.org/10.1109/ICCV.2015.513"]}, {"id": "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "title": "A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410791"]}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "314142838289cac416098cbc2bbe796dcbd2357b", "title": "Fusion of Interest Point/Image based descriptors for efficient person re-identification", "addresses": [{"name": "University of Paris-Saclay", "source_name": "SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France", "street_adddress": "Courcouronnes, 9 Rue Charles Fourier, 91000 \u00c9vry, France", "lat": "48.62468830", "lng": "2.44325110", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489111", "http://doi.org/10.1109/IJCNN.2018.8489111"]}, {"id": "589d06db45e2319b29fc96582ea6c8be369f57ed", "title": "Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/589d/06db45e2319b29fc96582ea6c8be369f57ed.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/citations/market_1501.json b/site/datasets/citations/market_1501.json index 9bce17f6..26ad8aca 100644 --- a/site/datasets/citations/market_1501.json +++ b/site/datasets/citations/market_1501.json @@ -1 +1 @@ -{"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "paper": {"key": "market_1501", "name": "Market 1501", "title": "Scalable Person Re-identification: A Benchmark", "year": "2015"}, "address": {}, "citations": [{"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "766209460c41d18ec357c6e1c8e79480b0c3c0f0", "title": "A Discriminatively Learning Model with Illumination Transfer for Inter-Camera Pedestrians Association", "addresses": [{"name": "Fuzhou University", "source_name": "Fuzhou University, Fuzhou, China", "street_adddress": "Xueyuan Rd, LiMing ShangQuan, Gulou Qu, Fuzhou Shi, Fujian Sheng, China, 350001", "lat": "26.08185050", "lng": "119.28650170", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3265673"]}, {"id": "29ce8c5df56424b9502984f5d263fbd30bc777a4", "title": "Similarity Learning with Listwise Ranking for Person Re-Identification", "addresses": [{"name": "INSA-Lyon, CNRS, LIRIS, Universit\u00e9 Lyon", "source_name": "INSA-Lyon, CNRS, LIRIS, Univ Lyon, Villeurbanne, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Thales Services, ThereSIS, Palaiseau, France", "source_name": "Thales Services, ThereSIS, Palaiseau, France", "street_adddress": "Route D\u00e9partementale, 91120 Palaiseau, France", "lat": "48.71472740", "lng": "2.20270890", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451628"]}, {"id": "b7bc6a2dfe99668457b67007400f5ab760386d0c", "title": "A Siamese inception architecture network for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0843-5"]}, {"id": "fcaa88dcb1a440ef09c4e5d724ed209bfc5d3367", "title": "PCGAN: Partition-Controlled Human Image Generation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.09928.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "413f4e770cd05fb382d8ceb4f33cd2726f34b9b3", "title": "Multi-person tracking by discriminative affinity model and hierarchical association", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322838"]}, {"id": "592bbab1e073908c75584879bc00911e7246aebf", "title": "Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/06/FG2017_presentation-Julio.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961756", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.133", "http://doi.org/10.1109/FG.2017.133"]}, {"id": "ea80a050d20c0e24e0625a92e5c03e5c8db3e786", "title": "Face Verification and Face Image Synthesis under Illumination Changes using Neural Networks by", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea80/a050d20c0e24e0625a92e5c03e5c8db3e786.pdf"], "doi": []}, {"id": "7ec16949adf6ea78054f6c6512f332a86960b91f", "title": "Computer Vision \u2013 ECCV 2016", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "RWTH Aachen, Aachen, Germany", "source_name": "RWTH Aachen, Aachen, Germany", "street_adddress": "Templergraben 55, 52062 Aachen, Germany", "lat": "50.78007780", "lng": "6.06568690", "type": "edu", "country": "Germany"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46475-6"]}, {"id": "6a03f9b4354cbe6bdb4c00eab3521a6463e563f7", "title": "PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8036238", "http://doi.org/10.1109/TMM.2017.2751966"]}, {"id": "2fad06ed34169a5b1f736112364c58140577a6b4", "title": "Pedestrian Color Naming via Convolutional Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2fad/06ed34169a5b1f736112364c58140577a6b4.pdf"], "doi": []}, {"id": "fac6b4562053853db517ff6511c6daff2e6a1a7b", "title": "Deep Low-Resolution Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fac6/b4562053853db517ff6511c6daff2e6a1a7b.pdf"], "doi": []}, {"id": "34b8e675d4651db45e484da34f3c415c60ef3ea2", "title": "DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01220.pdf"], "doi": []}, {"id": "3f69a9ef0f98a3936bc905e792cfe8a7d313b565", "title": "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08402.pdf"], "doi": []}, {"id": "160da454cc64c1117c3a164b9bf375d73fb81720", "title": "Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00370.pdf"], "doi": []}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "f5a00153cb49c2f66b072832adf053ebabf50850", "title": "Real-time pedestrian warning system on highway using deep learning methods", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266567", "http://doi.org/10.1109/ISPACS.2017.8266567"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "8cc1e76ffcc34b7afa8b7e3c5a2339cf88699868", "title": "Person re-identification by deep MAX pooling network", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302013", "http://doi.org/10.1109/CISP-BMEI.2017.8302013"]}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "631c4ca00eaa65b801c63d32c0f564e974009ddd", "title": "Self-attention Learning for Person Re-identification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/631c/4ca00eaa65b801c63d32c0f564e974009ddd.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "a65c3af3752866732fb2d1ccb3305ddf0fea91df", "title": "Deep Feature Embedding Learning for Person Re-Identification Using Lifted Structured Loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001957.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462118", "http://doi.org/10.1109/ICASSP.2018.8462118"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "34ca83537d5d5128dd80cd3c4cae3c45fa5f2263", "title": "Deep Supervised Hashing with Pairwise Bit Loss", "addresses": [{"name": "PLA University of Science & Technology", "source_name": "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3094257"]}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "7e186b41f5d2cfdf1940009e61d4e34a47b33c7c", "title": "Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wang_Orientation_Invariant_Feature_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237311", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.49", "http://doi.org/10.1109/ICCV.2017.49"]}, {"id": "0e85b9c05d6f6d190f7c0434e3356a8bfb97bdec", "title": "Person Re-Identification with Vision and Language", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545582"]}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "7969cc315bbafcd38a637eb8cd5d45ba897be319", "title": "An enhanced deep feature representation for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07807.pdf"], "doi": []}, {"id": "7abac083402d44a96769f9e68c8f6ad84ba80472", "title": "Beyond Eleven Color Names for Image Understanding", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0902-y"]}, {"id": "63d64d07966d4d128581246a891ff1d3dd3a2a96", "title": "Learning face similarity for re-identification from real surveillance video: A deep metric solution", "addresses": [{"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272704", "http://doi.org/10.1109/BTAS.2017.8272704"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "5e47ada58f5b7817acc46240f1090ba51dd0c637", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01264-9"]}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "title": "Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "addresses": [{"name": "University of California, Los Angeles", "source_name": "University of California, Los Angeles", "street_adddress": "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "lat": "34.06877880", "lng": "-118.44500940", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09882.pdf"], "doi": []}, {"id": "e23004116d85976ad0a2a4da69914a2c9d1ea5ab", "title": "Multi-part compact bilinear CNN for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296694", "http://doi.org/10.1109/ICIP.2017.8296694"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "d70d0bf360f4007c06407b7634c617979ac703b1", "title": "Person Re-Identification With A Joint Learning CNN Network And A New Global Loss Function", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551553"]}, {"id": "ec85c3f57594afa77a8b0e516035550ef6f79db4", "title": "Support Neighbor Loss for Person Re-Identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06030.pdf"], "doi": []}, {"id": "2fa4b37f91667970150481c37a1f4e294a49b7f0", "title": "Person Reidentification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing", "addresses": [{"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://graphvision.whu.edu.cn/papers/Ye_TMM_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7557057", "http://doi.org/10.1109/TMM.2016.2605058"]}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "c249f0aa1416c51bf82be5bb47cbeb8aac6dee35", "title": "Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04533.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "e6a8951063c3e87c7e8458faf9e5c4584c32cafd", "title": "A novel CNN-based match kernel for image retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532798", "http://doi.org/10.1109/ICIP.2016.7532798"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "779a74a12d73d5b72c156a50ff14f29fb8b09f0a", "title": "Graph Correspondence Transfer for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00242.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "952a8ef56f35376a52e4540d3df9e48f4077b09e", "title": "Deep feature embedding learning for person re-identification based on lifted structured loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6408-4"]}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "6b6207c49c7b41b171388fc2228304de148f0a96", "title": "Person Search by Multi-Scale Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08582.pdf"], "doi": []}, {"id": "2ff0f94f1a05fb4e6cb906f8b5aa59d50c9754be", "title": "Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11042.pdf"], "doi": []}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "f96525599a5abc069d2415950f6acd0ed37ab7d8", "title": "Convolutional neural network-based representation for person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495897", "http://doi.org/10.1109/SIU.2016.7495897"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "6b7e552ca66fd3235e99115d6f072061b9ada181", "title": "Extensive Comparison of Visual Features for Person Re-identification", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007741"]}, {"id": "c8c60abb7cef001213d951d041e5f03042de0df5", "title": "Person re-identification with deep dense feature representation and Joint Bayesian", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296945", "http://doi.org/10.1109/ICIP.2017.8296945"]}, {"id": "9244a113df66d8af944d988596710698bea8a76d", "title": "Deepagent: An Algorithm Integration Approach for Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451521"]}, {"id": "7965b2ce7d64991218515e20fc1fc0459fd20a38", "title": "Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11261.pdf"], "doi": []}, {"id": "5438e7c8151311d76ed7335051069c7c07113a12", "title": "Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Greenwich", "source_name": "University of Greenwich, London, United Kingdom", "street_adddress": "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "lat": "51.48293080", "lng": "-0.00699500", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965715", "http://doi.org/10.1109/SERA.2017.7965715"]}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "title": "P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025424", "http://doi.org/10.1109/TCSVT.2017.2748698"]}, {"id": "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "title": "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0991-0"]}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "0c69b1e916476bbdd8b1b38bbb1aa877709a0f28", "title": "Deep Siamese Network with Multi-level Similarity Perception for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University & Alibaba Group", "source_name": "Shanghai Jiao Tong University & Alibaba Group, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123452"]}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "a2fa23bb2720f1fe2131a485562658f1a8fd4ea0", "title": "Deep Siamese Network for Multiple Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547137"]}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "6843531814f19799c86af271b8643411360549e8", "title": "Person re-identification using salient region matching game", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5541-9"]}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "635efc8bddec1cf94b1ee4951e4d216331758422", "title": "Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00914.pdf"], "doi": []}, {"id": "5dae01134bf11b48f08fb1cad0163aee7d123ded", "title": "Light Person Re-Identification by Multi-Cue Tiny Net", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451738"]}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "76e48cd3b4b25cdb6c094ff660ed8e43be1e2f34", "title": "What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07074.pdf"], "doi": []}, {"id": "1ce69b2ab1821b7434c099c2c2d65a2cef878645", "title": "Semi-supervised Region Metric Learning for Person Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1075-5"]}, {"id": "d1d90bbc6bb4fdb0d928ff74bfd8671aaafa070e", "title": "Neural Person Search Machines", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06777.pdf"], "doi": []}, {"id": "52c141b9b7739dbacc93e3e661a15c84853d4094", "title": "A Multi-loss Deep Network Based on Pyramid Pooling for Person Re-identification", "addresses": [{"name": "Xi'an Jiantong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xi'an Jiantong University, Xi'an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "source_name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623067"]}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904", "title": "Dynamic locally connected layer for person re-identification", "addresses": [{"name": "ChongQing College of Electronic Engineering, Chongqing, China", "source_name": "ChongQing College of Electronic Engineering, Chongqing, China", "street_adddress": "Shapingba, Chongqing, China", "lat": "29.62636500", "lng": "106.32531700", "type": "edu", "country": "China"}, {"name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "source_name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "street_adddress": "11 Zhongshan 4th Rd, DaXiGou, Yuzhong Qu, Chongqing Shi, China, 400065", "lat": "29.56245900", "lng": "106.54645100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2033-2"]}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "02f94930219d2bb632d067ca2d31db61161ed5fb", "title": "Multi-Scale Triplet CNN for Person Re-Identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967209"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "b5184bd428b9a89255900dce50b4320741706744", "title": "Discovering Disentangled Representations with the F Statistic Loss", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b518/4bd428b9a89255900dce50b4320741706744.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "d56a262763c84d2bb21e9ea40f2517610f61d05f", "title": "Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "addresses": [{"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126708"]}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "51144f331aa9310e4fd9b4dab00e4baf6fba7ef3", "title": "Person re-identification using CNN features learned from combination of attributes", "addresses": [{"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://www.i.kyushu-u.ac.jp/~matsukawa/ReID_files/icpr2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900000", "http://doi.org/10.1109/ICPR.2016.7900000"]}, {"id": "359c2483195a3217095dcf8738abe47181a0fc94", "title": "Person Reidentification via Discrepancy Matrix and Matrix Metric", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://wangzwhu.github.io/home/slides-nj-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8059849", "http://doi.org/10.1109/TCYB.2017.2755044", "https://www.ncbi.nlm.nih.gov/pubmed/28991756"]}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "2dbff0b15221234e00bec4a00b4897c631904fcf", "title": "Learning Efficient Image Representation for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02319.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "title": "Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6409-3"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "ea00489323104d70dd43bac5e15390ec4d6dfe8f", "title": "Transfer for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea00/489323104d70dd43bac5e15390ec4d6dfe8f.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "a8540ff90bc1cf9eb54a2ba1ad4125e726d1980d", "title": "Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11610.pdf"], "doi": []}, {"id": "592e555ebe4bd2d821230e7074d7e9626af716b0", "title": "Open Set Adversarial Examples", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02681.pdf"], "doi": []}, {"id": "68621721705e3115355268450b4b447362e455c6", "title": "Disjoint Label Space Transfer Learning with Common Factorised Space", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.02605.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "d9912256502b9578cea7d149142832e0998d97ff", "title": "Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d991/2256502b9578cea7d149142832e0998d97ff.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "bd6b974bd9544c7f434752e42bc5b950fcaf71ff", "title": "A Progressive Vehicle Search System for Video Surveillance Networks", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499096"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "2d4c5768a65f05f96ae71a269422d0c3d371b26a", "title": "Semantics-Aware Deep Correspondence Structure Learning for Robust Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d4c/5768a65f05f96ae71a269422d0c3d371b26a.pdf"], "doi": []}, {"id": "3b3686f87f9a22db2bda99cb279c817e7f8a001b", "title": "Person re-identification method based on CNN and manually-selected feature fusion", "addresses": [{"name": "Guilin University of Electronic Technology Guangxi Guilin", "source_name": "Guilin University of Electronic Technology Guangxi Guilin", "street_adddress": "\u6842\u6797\u7535\u5b50\u79d1\u6280\u5927\u5b66\u91d1\u9e21\u5cad\u6821\u533a, 1\u53f7, \u91d1\u9e21\u8def, \u4e03\u661f\u533a, \u9ec4\u83ba\u5ca9\u6751, \u4e03\u661f\u533a, \u6842\u6797\u5e02, \u5e7f\u897f\u58ee\u65cf\u81ea\u6cbb\u533a, 541004, \u4e2d\u56fd", "lat": "25.28739920", "lng": "110.33242770", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393401", "http://doi.org/10.1109/FSKD.2017.8393401"]}, {"id": "110919f803740912e02bb7e1424373d325f558a9", "title": "Statistical Inference of Gaussian-Laplace Distribution for Person Verification", "addresses": [{"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123421"]}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "16e5d7b733086e0a7dbebc7218f80da53bd71646", "title": "Constraint patch matching for faster person re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947703", "http://doi.org/10.1109/ISBA.2017.7947703"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "a54d63c1a8c4db3c5034b1fdb08526459bb3c0b1", "title": "Multi-Gait Recognition Based on Attribute Discovery", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976333", "http://doi.org/10.1109/TPAMI.2017.2726061", "https://www.ncbi.nlm.nih.gov/pubmed/28708545", "https://www.wikidata.org/entity/Q48544223"]}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "33469aa1130c6bfb838fbb6216f5c42c483a2799", "title": "Pose Guided Person Image Generation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09368.pdf"], "doi": []}, {"id": "0d754504848d071936a5d603c8b3db0c48a3da6d", "title": "DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7502111", "http://doi.org/10.1109/TCSVT.2016.2586851"]}, {"id": "97585f0fc4e55fa849bae0d40a7a31a8f4dc76c6", "title": "Large-Scale Metric Learning: A Voyage From Shallow to Deep", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8098562", "http://doi.org/10.1109/TNNLS.2017.2761773", "https://doc-0k-70-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/eqpfdcdfeo07gk038u5cael6490vsc2v/1532808000000/15994626111015157098/*/0B9_PW9TCpxT0dm5VamRmSmp5bzQ?e=download", "https://www.ncbi.nlm.nih.gov/pubmed/29990173"]}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "a77619c8d36c444cae62e767b33b2a8c4e30d4ee", "title": "Efficient large scale near-duplicate video detection base on spark", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "State Post Bureau Safety Supervision Center, Beijing, 100091, China", "source_name": "State Post Bureau Safety Supervision Center, Beijing, 100091, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7840693", "http://doi.org/10.1109/BigData.2016.7840693"]}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "9b17f368d038a7d7e4304089c0270e81f0b4eb6c", "title": "Discriminative Structural Metric Learning for Person Reidentification in Visual Internet of Things", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8022862"]}, {"id": "a6bc69831dea3efc5804b8ab65cf5a06688ddae0", "title": "Crossing Generative Adversarial Networks for Cross-View Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01760.pdf"], "doi": []}, {"id": "5084cf08beb04ad91ef3c5649077255097d0c5d9", "title": "Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8249811", "http://doi.org/10.1109/ACCESS.2018.2790969"]}, {"id": "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "title": "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", "addresses": [{"name": "Cisco Systems, Inc., CA, USA", "source_name": "Cisco Systems, Inc., CA, USA", "street_adddress": "101 N Brand Blvd Suite 1700, Glendale, CA 91203, USA", "lat": "34.14683580", "lng": "-118.25544120", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243217"]}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "864fe713fd082585b67198ad7942a1568e536bd2", "title": "Group-Sensitive Triplet Embedding for Vehicle Reidentification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265213", "http://doi.org/10.1109/TMM.2018.2796240"]}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "b086e278c5ac61c024e89b302fec87b2aecf9281", "title": "Which Part is Better: Multi-Part Competition Network for person Re-Identification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545848"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "6f70e85442959079bfb67b925c660fe86cb4ba24", "title": "Person Re-Identification with Correspondence Structure Learning", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.06243.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "2f72cee2b9ae3d4271bda9f9bda1f11ad84ef616", "title": "End-to-End Detection and Re-identification Integrated Net for Person Search", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00376.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "ba32bcea914685f2dacc689b3d9dc070eceae684", "title": "Person Re-Identification by Weighted Integration of Sparse and Collaborative Representation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8070940", "http://doi.org/10.1109/ACCESS.2017.2757028"]}, {"id": "82485c89a6b48077b03b65a774fd5768ea768d4d", "title": "Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03112.pdf"], "doi": []}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "e9835bb131287d711e5e5435a5df8ce5302acb31", "title": "Person Re-identification by Unsupervised ` 1 Graph Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e983/5bb131287d711e5e5435a5df8ce5302acb31.pdf"], "doi": []}, {"id": "bffefd41cea42f4db45e8c98b0651f74a8aa90d6", "title": "Multi-Region bilinear convolutional neural networks for person re-identification", "addresses": [{"name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "source_name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "street_adddress": "Ulitsa Nobelya, 3, Moskva, Moscow Oblast, Russia, 121205", "lat": "55.68465660", "lng": "37.34075390", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078460", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078460", "http://doi.org/10.1109/AVSS.2017.8078460"]}, {"id": "454f403857e487d6a885180e0e0f7216a342fb0e", "title": "Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/454f/403857e487d6a885180e0e0f7216a342fb0e.pdf"], "doi": []}, {"id": "628aea69160e273ae3b3ae982deb11e9089d0336", "title": "Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.pkuml.org/wp-content/uploads/2013/07/2017_TIP_DFC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016659", "http://doi.org/10.1109/TIP.2017.2745203", "https://www.ncbi.nlm.nih.gov/pubmed/28858800", "https://www.wikidata.org/entity/Q38599921"]}, {"id": "aec7ba707a37446fbf39cec960951ded2d575267", "title": "Learning Multiple Kernel Metrics for Iterative Person Re-Identification", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234929"]}, {"id": "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "title": "A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00975.pdf"], "doi": []}, {"id": "1fbc81959c49d04e292ef4cfc68dd431105cdd83", "title": "Enhanced Deep Feature Representation for Person Search", "addresses": [{"name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "source_name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}, {"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-7305-2_28"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "3cbb4cf942ee95d14505c0f83a48ba224abdd00b", "title": "Hierarchical Cross Network for Person Re-identification", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.06820.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "61dfbdfe718aca026cafa06adc63055bd0fc562e", "title": "A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61df/bdfe718aca026cafa06adc63055bd0fc562e.pdf"], "doi": []}, {"id": "2e0b4fd1c7f49b88ea8ec40ace80f64f54a9215e", "title": "Multi-modal metric learning for vehicle re-identification in traffic surveillance environment", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296683", "http://doi.org/10.1109/ICIP.2017.8296683"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "b15cfd1e2f46a943328fa32fe0a571b8f7073b9f", "title": "Person Re-Identification by Deep Learning Muti-Part Information Complementary", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451645", "http://doi.org/10.1109/ICIP.2018.8451645"]}, {"id": "bdd3e33cb78965bcd15d69b7902c813b2ac864ff", "title": "GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123279"]}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "e7711b98384cf72a3ef26a51653083e41781a6bd", "title": "Dependence-Aware Feature Coding for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/21074/3/SPL2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286843", "http://doi.org/10.1109/LSP.2018.2803776"]}, {"id": "e9e04b36f88199a492db6ce7ffdb4e76dc7cc966", "title": "An Enhanced Deep Convolutional Neural Network for Person Re-Identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing", "source_name": "Academy of Broadcasting Science, Beijing", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551570"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "01b94ffeef22187587a9d3b9aeefa6377f85baa7", "title": "Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04239.pdf"], "doi": []}, {"id": "a34f8768b10d928aa4f4105afb971819c26a2219", "title": "Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485730"]}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "a089b7627f4661e68fbb2acc4a741b98e54f1f09", "title": "Knowledge Science, Engineering and Management", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "Universit\u00e0 di Trento, Povo, Italy", "source_name": "Universit\u00e0 di Trento, Povo, Italy", "street_adddress": "Via Sommarive, 14, 38123 Povo TN, Italy", "lat": "46.06559770", "lng": "11.15084150", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-99247-1"]}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01228-1"]}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "eb51b630b194f6161dadeca54b3d21330cde9ebd", "title": "Video Based Person Re-Identification by Re-Ranking Attentive Temporal Information in Deep Recurrent Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451594"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "d6126460b1a7034a39e5fdf3cc189dca3001c84a", "title": "VP-ReID: Vehicle and Person Re-Identification System", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206086"]}, {"id": "de3eadd9da762010066eab138cbea5fa3089a290", "title": "VRSDNet: vehicle re-identification with a shortly and densely connected convolutional neural network", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "First Research Institute of the Ministry of Public Security of People\u2019s Republic of China, Beijing, China", "source_name": "First Research Institute of the Ministry of Public Security of People\u2019s Republic of China, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6270-4"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "47f4dec5f733e933c8b9a8fdcda9419741f2bf62", "title": "Adversarial Metric Attack for Person Re-identification", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10650.pdf"], "doi": []}, {"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "a6e825aa233e0048d70a9a2c6a4ca9322331aef3", "title": "A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545514"]}, {"id": "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "title": "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "addresses": [{"name": "London, United Kingdom", "source_name": "London, United Kingdom", "street_adddress": "London, Greater London, England, SW1A 2DU, UK", "lat": "51.50732190", "lng": "-0.12764740", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7970176"]}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "944efd74c6fd812c6c495a11e7b045c9b778702e", "title": "RCAA: Relational Context-Aware Agents for Person Search", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/944e/fd74c6fd812c6c495a11e7b045c9b778702e.pdf"], "doi": []}, {"id": "9a81f46fcf8c6c0efbe34649552b5056ce419a3d", "title": "Deep person re-identification with improved embedding and efficient training", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03332.pdf"], "doi": []}, {"id": "311e4361ded641dc6f007595dc05f5c77055bdba", "title": "Cross-View Discriminative Feature Learning for Person Re-Identification", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}, {"name": "Research Division, Anyvision, Belfast, U.K.", "source_name": "Research Division, Anyvision, Belfast, U.K.", "street_adddress": "Belfast, UK", "lat": "54.59728500", "lng": "-5.93012000", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398470"]}, {"id": "d1ba33106567c880bf99daba2bd31fe88df4ecba", "title": "Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03160.pdf"], "doi": []}, {"id": "df527756b33d1c2722bd005b246f7df75ea0520a", "title": "Selective deep ensemble for instance retrieval", "addresses": [{"name": "Shenzhen University & Guangxi Key Laboratory of Cryptography and Information Security ", "source_name": "Shenzhen Key Laboratory of Media Security, Shenzhen University & Guangxi Key Laboratory of Cryptography and Information Security , Shenzhen and Guilin, China", "street_adddress": "3688 Nanhai Ave, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518060", "lat": "22.53306000", "lng": "113.93281300", "type": "edu", "country": "China"}, {"name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "source_name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "street_adddress": "China, Shanghai, Xuhui, \u5cb3\u9633\u8def76\u53f7", "lat": "31.20700600", "lng": "121.45196400", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5967-8"]}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "b54ed594267ead88b99bed3230e0453f54d00873", "title": "Human Recognition by Appearance and Gait", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768818040035"]}, {"id": "febff0f6faa8dde77848845e4b3e6f6c91180d33", "title": "Embedding Deep Metric for Person Re-identication A Study Against Large Variations", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00137.pdf"], "doi": []}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "adc95c86c5d5288b8d7d096ca2b77667826d985b", "title": "Self-Referenced Deep Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07598.pdf"], "doi": []}, {"id": "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "title": "Constrained Deep Metric Learning for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07545.pdf"], "doi": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "People\u2019s Public Security University of China", "source_name": "People\u2019s Public Security University of China, Beijing, China", "street_adddress": "Changping, Beijing, China, 102202", "lat": "40.12794800", "lng": "116.27810200", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8467369", "http://doi.org/10.1109/TIP.2018.2870946", "https://www.ncbi.nlm.nih.gov/pubmed/30235130"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "title": "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9c82/751e5bb63f54e9419703590ac9be86171de0.pdf"], "doi": []}, {"id": "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "title": "Attention-based Few-Shot Person Re-identification Using Meta Learning", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09613.pdf"], "doi": []}, {"id": "8520a3731e66304cac8981e97127211409b5089e", "title": "Robust Discriminative Subspace Learning for Person Reidentification", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540416"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "37eff004718e0d66a249310ab5108206d158d945", "title": "DeepDiff: Learning deep difference features on human body parts for person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://sites.nlsde.buaa.edu.cn/~shenghao/Download/publications/2017/4.DeepDiff%20Learning%20deep%20difference%20features%20on%20human%20body%20parts%20for%20person%20re-identification.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.02.055"]}, {"id": "1c8d585fb7e82abf43f45014494018a843774d2b", "title": "Consistent Iterative Multiview Transfer Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1c8d/585fb7e82abf43f45014494018a843774d2b.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "paper": {"key": "market_1501", "name": "Market 1501", "title": "Scalable Person Re-identification: A Benchmark", "year": "2015"}, "address": {}, "citations": [{"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "766209460c41d18ec357c6e1c8e79480b0c3c0f0", "title": "A Discriminatively Learning Model with Illumination Transfer for Inter-Camera Pedestrians Association", "addresses": [{"name": "Fuzhou University", "source_name": "Fuzhou University, Fuzhou, China", "street_adddress": "Xueyuan Rd, LiMing ShangQuan, Gulou Qu, Fuzhou Shi, Fujian Sheng, China, 350001", "lat": "26.08185050", "lng": "119.28650170", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3265673"]}, {"id": "29ce8c5df56424b9502984f5d263fbd30bc777a4", "title": "Similarity Learning with Listwise Ranking for Person Re-Identification", "addresses": [{"name": "INSA-Lyon, CNRS, LIRIS, Universit\u00e9 Lyon", "source_name": "INSA-Lyon, CNRS, LIRIS, Univ Lyon, Villeurbanne, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Thales Services, ThereSIS, Palaiseau, France", "source_name": "Thales Services, ThereSIS, Palaiseau, France", "street_adddress": "Route D\u00e9partementale, 91120 Palaiseau, France", "lat": "48.71472740", "lng": "2.20270890", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451628"]}, {"id": "b7bc6a2dfe99668457b67007400f5ab760386d0c", "title": "A Siamese inception architecture network for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0843-5"]}, {"id": "fcaa88dcb1a440ef09c4e5d724ed209bfc5d3367", "title": "PCGAN: Partition-Controlled Human Image Generation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.09928.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "413f4e770cd05fb382d8ceb4f33cd2726f34b9b3", "title": "Multi-person tracking by discriminative affinity model and hierarchical association", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322838"]}, {"id": "592bbab1e073908c75584879bc00911e7246aebf", "title": "Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/06/FG2017_presentation-Julio.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961756", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.133", "http://doi.org/10.1109/FG.2017.133"]}, {"id": "ea80a050d20c0e24e0625a92e5c03e5c8db3e786", "title": "Face Verification and Face Image Synthesis under Illumination Changes using Neural Networks by", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea80/a050d20c0e24e0625a92e5c03e5c8db3e786.pdf"], "doi": []}, {"id": "7ec16949adf6ea78054f6c6512f332a86960b91f", "title": "Computer Vision \u2013 ECCV 2016", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "RWTH Aachen, Aachen, Germany", "source_name": "RWTH Aachen, Aachen, Germany", "street_adddress": "Templergraben 55, 52062 Aachen, Germany", "lat": "50.78007780", "lng": "6.06568690", "type": "edu", "country": "Germany"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46475-6"]}, {"id": "6a03f9b4354cbe6bdb4c00eab3521a6463e563f7", "title": "PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8036238", "http://doi.org/10.1109/TMM.2017.2751966"]}, {"id": "2fad06ed34169a5b1f736112364c58140577a6b4", "title": "Pedestrian Color Naming via Convolutional Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2fad/06ed34169a5b1f736112364c58140577a6b4.pdf"], "doi": []}, {"id": "fac6b4562053853db517ff6511c6daff2e6a1a7b", "title": "Deep Low-Resolution Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fac6/b4562053853db517ff6511c6daff2e6a1a7b.pdf"], "doi": []}, {"id": "34b8e675d4651db45e484da34f3c415c60ef3ea2", "title": "DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01220.pdf"], "doi": []}, {"id": "3f69a9ef0f98a3936bc905e792cfe8a7d313b565", "title": "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08402.pdf"], "doi": []}, {"id": "160da454cc64c1117c3a164b9bf375d73fb81720", "title": "Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00370.pdf"], "doi": []}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "f5a00153cb49c2f66b072832adf053ebabf50850", "title": "Real-time pedestrian warning system on highway using deep learning methods", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266567", "http://doi.org/10.1109/ISPACS.2017.8266567"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "8cc1e76ffcc34b7afa8b7e3c5a2339cf88699868", "title": "Person re-identification by deep MAX pooling network", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302013", "http://doi.org/10.1109/CISP-BMEI.2017.8302013"]}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "631c4ca00eaa65b801c63d32c0f564e974009ddd", "title": "Self-attention Learning for Person Re-identification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/631c/4ca00eaa65b801c63d32c0f564e974009ddd.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "a65c3af3752866732fb2d1ccb3305ddf0fea91df", "title": "Deep Feature Embedding Learning for Person Re-Identification Using Lifted Structured Loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001957.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462118", "http://doi.org/10.1109/ICASSP.2018.8462118"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "34ca83537d5d5128dd80cd3c4cae3c45fa5f2263", "title": "Deep Supervised Hashing with Pairwise Bit Loss", "addresses": [{"name": "PLA University of Science & Technology", "source_name": "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3094257"]}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "7e186b41f5d2cfdf1940009e61d4e34a47b33c7c", "title": "Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wang_Orientation_Invariant_Feature_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237311", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.49", "http://doi.org/10.1109/ICCV.2017.49"]}, {"id": "0e85b9c05d6f6d190f7c0434e3356a8bfb97bdec", "title": "Person Re-Identification with Vision and Language", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545582"]}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "7969cc315bbafcd38a637eb8cd5d45ba897be319", "title": "An enhanced deep feature representation for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07807.pdf"], "doi": []}, {"id": "7abac083402d44a96769f9e68c8f6ad84ba80472", "title": "Beyond Eleven Color Names for Image Understanding", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0902-y"]}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "63d64d07966d4d128581246a891ff1d3dd3a2a96", "title": "Learning face similarity for re-identification from real surveillance video: A deep metric solution", "addresses": [{"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272704", "http://doi.org/10.1109/BTAS.2017.8272704"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "5e47ada58f5b7817acc46240f1090ba51dd0c637", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01264-9"]}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "title": "Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "addresses": [{"name": "University of California, Los Angeles", "source_name": "University of California, Los Angeles", "street_adddress": "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "lat": "34.06877880", "lng": "-118.44500940", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09882.pdf"], "doi": []}, {"id": "e23004116d85976ad0a2a4da69914a2c9d1ea5ab", "title": "Multi-part compact bilinear CNN for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296694", "http://doi.org/10.1109/ICIP.2017.8296694"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "d70d0bf360f4007c06407b7634c617979ac703b1", "title": "Person Re-Identification With A Joint Learning CNN Network And A New Global Loss Function", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551553"]}, {"id": "ec85c3f57594afa77a8b0e516035550ef6f79db4", "title": "Support Neighbor Loss for Person Re-Identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06030.pdf"], "doi": []}, {"id": "2fa4b37f91667970150481c37a1f4e294a49b7f0", "title": "Person Reidentification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing", "addresses": [{"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://graphvision.whu.edu.cn/papers/Ye_TMM_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7557057", "http://doi.org/10.1109/TMM.2016.2605058"]}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "c249f0aa1416c51bf82be5bb47cbeb8aac6dee35", "title": "Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04533.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "e6a8951063c3e87c7e8458faf9e5c4584c32cafd", "title": "A novel CNN-based match kernel for image retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532798", "http://doi.org/10.1109/ICIP.2016.7532798"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "779a74a12d73d5b72c156a50ff14f29fb8b09f0a", "title": "Graph Correspondence Transfer for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00242.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "952a8ef56f35376a52e4540d3df9e48f4077b09e", "title": "Deep feature embedding learning for person re-identification based on lifted structured loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6408-4"]}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "6b6207c49c7b41b171388fc2228304de148f0a96", "title": "Person Search by Multi-Scale Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08582.pdf"], "doi": []}, {"id": "2ff0f94f1a05fb4e6cb906f8b5aa59d50c9754be", "title": "Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11042.pdf"], "doi": []}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "f96525599a5abc069d2415950f6acd0ed37ab7d8", "title": "Convolutional neural network-based representation for person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495897", "http://doi.org/10.1109/SIU.2016.7495897"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "6b7e552ca66fd3235e99115d6f072061b9ada181", "title": "Extensive Comparison of Visual Features for Person Re-identification", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007741"]}, {"id": "c8c60abb7cef001213d951d041e5f03042de0df5", "title": "Person re-identification with deep dense feature representation and Joint Bayesian", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296945", "http://doi.org/10.1109/ICIP.2017.8296945"]}, {"id": "9244a113df66d8af944d988596710698bea8a76d", "title": "Deepagent: An Algorithm Integration Approach for Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451521"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "7965b2ce7d64991218515e20fc1fc0459fd20a38", "title": "Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11261.pdf"], "doi": []}, {"id": "5438e7c8151311d76ed7335051069c7c07113a12", "title": "Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Greenwich", "source_name": "University of Greenwich, London, United Kingdom", "street_adddress": "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "lat": "51.48293080", "lng": "-0.00699500", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965715", "http://doi.org/10.1109/SERA.2017.7965715"]}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "title": "P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025424", "http://doi.org/10.1109/TCSVT.2017.2748698"]}, {"id": "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "title": "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0991-0"]}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "0c69b1e916476bbdd8b1b38bbb1aa877709a0f28", "title": "Deep Siamese Network with Multi-level Similarity Perception for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University & Alibaba Group", "source_name": "Shanghai Jiao Tong University & Alibaba Group, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123452"]}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "a2fa23bb2720f1fe2131a485562658f1a8fd4ea0", "title": "Deep Siamese Network for Multiple Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547137"]}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "6843531814f19799c86af271b8643411360549e8", "title": "Person re-identification using salient region matching game", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5541-9"]}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "635efc8bddec1cf94b1ee4951e4d216331758422", "title": "Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00914.pdf"], "doi": []}, {"id": "5dae01134bf11b48f08fb1cad0163aee7d123ded", "title": "Light Person Re-Identification by Multi-Cue Tiny Net", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451738"]}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "76e48cd3b4b25cdb6c094ff660ed8e43be1e2f34", "title": "What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07074.pdf"], "doi": []}, {"id": "1ce69b2ab1821b7434c099c2c2d65a2cef878645", "title": "Semi-supervised Region Metric Learning for Person Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1075-5"]}, {"id": "d1d90bbc6bb4fdb0d928ff74bfd8671aaafa070e", "title": "Neural Person Search Machines", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06777.pdf"], "doi": []}, {"id": "52c141b9b7739dbacc93e3e661a15c84853d4094", "title": "A Multi-loss Deep Network Based on Pyramid Pooling for Person Re-identification", "addresses": [{"name": "Xi'an Jiantong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xi'an Jiantong University, Xi'an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "source_name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623067"]}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904", "title": "Dynamic locally connected layer for person re-identification", "addresses": [{"name": "ChongQing College of Electronic Engineering, Chongqing, China", "source_name": "ChongQing College of Electronic Engineering, Chongqing, China", "street_adddress": "Shapingba, Chongqing, China", "lat": "29.62636500", "lng": "106.32531700", "type": "edu", "country": "China"}, {"name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "source_name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "street_adddress": "11 Zhongshan 4th Rd, DaXiGou, Yuzhong Qu, Chongqing Shi, China, 400065", "lat": "29.56245900", "lng": "106.54645100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2033-2"]}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "02f94930219d2bb632d067ca2d31db61161ed5fb", "title": "Multi-Scale Triplet CNN for Person Re-Identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967209"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "b5184bd428b9a89255900dce50b4320741706744", "title": "Discovering Disentangled Representations with the F Statistic Loss", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b518/4bd428b9a89255900dce50b4320741706744.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "d56a262763c84d2bb21e9ea40f2517610f61d05f", "title": "Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "addresses": [{"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126708"]}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "51144f331aa9310e4fd9b4dab00e4baf6fba7ef3", "title": "Person re-identification using CNN features learned from combination of attributes", "addresses": [{"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://www.i.kyushu-u.ac.jp/~matsukawa/ReID_files/icpr2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900000", "http://doi.org/10.1109/ICPR.2016.7900000"]}, {"id": "359c2483195a3217095dcf8738abe47181a0fc94", "title": "Person Reidentification via Discrepancy Matrix and Matrix Metric", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://wangzwhu.github.io/home/slides-nj-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8059849", "http://doi.org/10.1109/TCYB.2017.2755044", "https://www.ncbi.nlm.nih.gov/pubmed/28991756"]}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "2dbff0b15221234e00bec4a00b4897c631904fcf", "title": "Learning Efficient Image Representation for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02319.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "title": "Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6409-3"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "ea00489323104d70dd43bac5e15390ec4d6dfe8f", "title": "Transfer for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea00/489323104d70dd43bac5e15390ec4d6dfe8f.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "a8540ff90bc1cf9eb54a2ba1ad4125e726d1980d", "title": "Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11610.pdf"], "doi": []}, {"id": "592e555ebe4bd2d821230e7074d7e9626af716b0", "title": "Open Set Adversarial Examples", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02681.pdf"], "doi": []}, {"id": "68621721705e3115355268450b4b447362e455c6", "title": "Disjoint Label Space Transfer Learning with Common Factorised Space", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.02605.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "d9912256502b9578cea7d149142832e0998d97ff", "title": "Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d991/2256502b9578cea7d149142832e0998d97ff.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "bd6b974bd9544c7f434752e42bc5b950fcaf71ff", "title": "A Progressive Vehicle Search System for Video Surveillance Networks", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499096"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "2d4c5768a65f05f96ae71a269422d0c3d371b26a", "title": "Semantics-Aware Deep Correspondence Structure Learning for Robust Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d4c/5768a65f05f96ae71a269422d0c3d371b26a.pdf"], "doi": []}, {"id": "3b3686f87f9a22db2bda99cb279c817e7f8a001b", "title": "Person re-identification method based on CNN and manually-selected feature fusion", "addresses": [{"name": "Guilin University of Electronic Technology Guangxi Guilin", "source_name": "Guilin University of Electronic Technology Guangxi Guilin", "street_adddress": "\u6842\u6797\u7535\u5b50\u79d1\u6280\u5927\u5b66\u91d1\u9e21\u5cad\u6821\u533a, 1\u53f7, \u91d1\u9e21\u8def, \u4e03\u661f\u533a, \u9ec4\u83ba\u5ca9\u6751, \u4e03\u661f\u533a, \u6842\u6797\u5e02, \u5e7f\u897f\u58ee\u65cf\u81ea\u6cbb\u533a, 541004, \u4e2d\u56fd", "lat": "25.28739920", "lng": "110.33242770", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393401", "http://doi.org/10.1109/FSKD.2017.8393401"]}, {"id": "110919f803740912e02bb7e1424373d325f558a9", "title": "Statistical Inference of Gaussian-Laplace Distribution for Person Verification", "addresses": [{"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123421"]}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "16e5d7b733086e0a7dbebc7218f80da53bd71646", "title": "Constraint patch matching for faster person re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947703", "http://doi.org/10.1109/ISBA.2017.7947703"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "a54d63c1a8c4db3c5034b1fdb08526459bb3c0b1", "title": "Multi-Gait Recognition Based on Attribute Discovery", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976333", "http://doi.org/10.1109/TPAMI.2017.2726061", "https://www.ncbi.nlm.nih.gov/pubmed/28708545", "https://www.wikidata.org/entity/Q48544223"]}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "33469aa1130c6bfb838fbb6216f5c42c483a2799", "title": "Pose Guided Person Image Generation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09368.pdf"], "doi": []}, {"id": "0d754504848d071936a5d603c8b3db0c48a3da6d", "title": "DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7502111", "http://doi.org/10.1109/TCSVT.2016.2586851"]}, {"id": "97585f0fc4e55fa849bae0d40a7a31a8f4dc76c6", "title": "Large-Scale Metric Learning: A Voyage From Shallow to Deep", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8098562", "http://doi.org/10.1109/TNNLS.2017.2761773", "https://doc-0k-70-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/eqpfdcdfeo07gk038u5cael6490vsc2v/1532808000000/15994626111015157098/*/0B9_PW9TCpxT0dm5VamRmSmp5bzQ?e=download", "https://www.ncbi.nlm.nih.gov/pubmed/29990173"]}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "a77619c8d36c444cae62e767b33b2a8c4e30d4ee", "title": "Efficient large scale near-duplicate video detection base on spark", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "State Post Bureau Safety Supervision Center, Beijing, 100091, China", "source_name": "State Post Bureau Safety Supervision Center, Beijing, 100091, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7840693", "http://doi.org/10.1109/BigData.2016.7840693"]}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "9b17f368d038a7d7e4304089c0270e81f0b4eb6c", "title": "Discriminative Structural Metric Learning for Person Reidentification in Visual Internet of Things", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8022862"]}, {"id": "a6bc69831dea3efc5804b8ab65cf5a06688ddae0", "title": "Crossing Generative Adversarial Networks for Cross-View Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01760.pdf"], "doi": []}, {"id": "5084cf08beb04ad91ef3c5649077255097d0c5d9", "title": "Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8249811", "http://doi.org/10.1109/ACCESS.2018.2790969"]}, {"id": "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "title": "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", "addresses": [{"name": "Cisco Systems, Inc., CA, USA", "source_name": "Cisco Systems, Inc., CA, USA", "street_adddress": "101 N Brand Blvd Suite 1700, Glendale, CA 91203, USA", "lat": "34.14683580", "lng": "-118.25544120", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243217"]}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "864fe713fd082585b67198ad7942a1568e536bd2", "title": "Group-Sensitive Triplet Embedding for Vehicle Reidentification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265213", "http://doi.org/10.1109/TMM.2018.2796240"]}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "b086e278c5ac61c024e89b302fec87b2aecf9281", "title": "Which Part is Better: Multi-Part Competition Network for person Re-Identification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545848"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "6f70e85442959079bfb67b925c660fe86cb4ba24", "title": "Person Re-Identification with Correspondence Structure Learning", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.06243.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "2f72cee2b9ae3d4271bda9f9bda1f11ad84ef616", "title": "End-to-End Detection and Re-identification Integrated Net for Person Search", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00376.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "ba32bcea914685f2dacc689b3d9dc070eceae684", "title": "Person Re-Identification by Weighted Integration of Sparse and Collaborative Representation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8070940", "http://doi.org/10.1109/ACCESS.2017.2757028"]}, {"id": "82485c89a6b48077b03b65a774fd5768ea768d4d", "title": "Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03112.pdf"], "doi": []}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "e9835bb131287d711e5e5435a5df8ce5302acb31", "title": "Person Re-identification by Unsupervised ` 1 Graph Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e983/5bb131287d711e5e5435a5df8ce5302acb31.pdf"], "doi": []}, {"id": "bffefd41cea42f4db45e8c98b0651f74a8aa90d6", "title": "Multi-Region bilinear convolutional neural networks for person re-identification", "addresses": [{"name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "source_name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "street_adddress": "Ulitsa Nobelya, 3, Moskva, Moscow Oblast, Russia, 121205", "lat": "55.68465660", "lng": "37.34075390", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078460", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078460", "http://doi.org/10.1109/AVSS.2017.8078460"]}, {"id": "454f403857e487d6a885180e0e0f7216a342fb0e", "title": "Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/454f/403857e487d6a885180e0e0f7216a342fb0e.pdf"], "doi": []}, {"id": "628aea69160e273ae3b3ae982deb11e9089d0336", "title": "Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.pkuml.org/wp-content/uploads/2013/07/2017_TIP_DFC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016659", "http://doi.org/10.1109/TIP.2017.2745203", "https://www.ncbi.nlm.nih.gov/pubmed/28858800", "https://www.wikidata.org/entity/Q38599921"]}, {"id": "aec7ba707a37446fbf39cec960951ded2d575267", "title": "Learning Multiple Kernel Metrics for Iterative Person Re-Identification", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234929"]}, {"id": "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "title": "A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00975.pdf"], "doi": []}, {"id": "1fbc81959c49d04e292ef4cfc68dd431105cdd83", "title": "Enhanced Deep Feature Representation for Person Search", "addresses": [{"name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "source_name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}, {"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-7305-2_28"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "3cbb4cf942ee95d14505c0f83a48ba224abdd00b", "title": "Hierarchical Cross Network for Person Re-identification", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.06820.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "61dfbdfe718aca026cafa06adc63055bd0fc562e", "title": "A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61df/bdfe718aca026cafa06adc63055bd0fc562e.pdf"], "doi": []}, {"id": "2e0b4fd1c7f49b88ea8ec40ace80f64f54a9215e", "title": "Multi-modal metric learning for vehicle re-identification in traffic surveillance environment", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296683", "http://doi.org/10.1109/ICIP.2017.8296683"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "b15cfd1e2f46a943328fa32fe0a571b8f7073b9f", "title": "Person Re-Identification by Deep Learning Muti-Part Information Complementary", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451645", "http://doi.org/10.1109/ICIP.2018.8451645"]}, {"id": "bdd3e33cb78965bcd15d69b7902c813b2ac864ff", "title": "GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123279"]}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "e7711b98384cf72a3ef26a51653083e41781a6bd", "title": "Dependence-Aware Feature Coding for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/21074/3/SPL2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286843", "http://doi.org/10.1109/LSP.2018.2803776"]}, {"id": "e9e04b36f88199a492db6ce7ffdb4e76dc7cc966", "title": "An Enhanced Deep Convolutional Neural Network for Person Re-Identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing", "source_name": "Academy of Broadcasting Science, Beijing", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551570"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "01b94ffeef22187587a9d3b9aeefa6377f85baa7", "title": "Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04239.pdf"], "doi": []}, {"id": "a34f8768b10d928aa4f4105afb971819c26a2219", "title": "Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485730"]}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "a089b7627f4661e68fbb2acc4a741b98e54f1f09", "title": "Knowledge Science, Engineering and Management", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "Universit\u00e0 di Trento, Povo, Italy", "source_name": "Universit\u00e0 di Trento, Povo, Italy", "street_adddress": "Via Sommarive, 14, 38123 Povo TN, Italy", "lat": "46.06559770", "lng": "11.15084150", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-99247-1"]}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01228-1"]}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "eb51b630b194f6161dadeca54b3d21330cde9ebd", "title": "Video Based Person Re-Identification by Re-Ranking Attentive Temporal Information in Deep Recurrent Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451594"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "d6126460b1a7034a39e5fdf3cc189dca3001c84a", "title": "VP-ReID: Vehicle and Person Re-Identification System", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206086"]}, {"id": "de3eadd9da762010066eab138cbea5fa3089a290", "title": "VRSDNet: vehicle re-identification with a shortly and densely connected convolutional neural network", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "First Research Institute of the Ministry of Public Security of People\u2019s Republic of China, Beijing, China", "source_name": "First Research Institute of the Ministry of Public Security of People\u2019s Republic of China, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6270-4"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "47f4dec5f733e933c8b9a8fdcda9419741f2bf62", "title": "Adversarial Metric Attack for Person Re-identification", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10650.pdf"], "doi": []}, {"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "a6e825aa233e0048d70a9a2c6a4ca9322331aef3", "title": "A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545514"]}, {"id": "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "title": "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "addresses": [{"name": "London, United Kingdom", "source_name": "London, United Kingdom", "street_adddress": "London, Greater London, England, SW1A 2DU, UK", "lat": "51.50732190", "lng": "-0.12764740", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7970176"]}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "944efd74c6fd812c6c495a11e7b045c9b778702e", "title": "RCAA: Relational Context-Aware Agents for Person Search", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/944e/fd74c6fd812c6c495a11e7b045c9b778702e.pdf"], "doi": []}, {"id": "9a81f46fcf8c6c0efbe34649552b5056ce419a3d", "title": "Deep person re-identification with improved embedding and efficient training", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03332.pdf"], "doi": []}, {"id": "311e4361ded641dc6f007595dc05f5c77055bdba", "title": "Cross-View Discriminative Feature Learning for Person Re-Identification", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}, {"name": "Research Division, Anyvision, Belfast, U.K.", "source_name": "Research Division, Anyvision, Belfast, U.K.", "street_adddress": "Belfast, UK", "lat": "54.59728500", "lng": "-5.93012000", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398470"]}, {"id": "d1ba33106567c880bf99daba2bd31fe88df4ecba", "title": "Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03160.pdf"], "doi": []}, {"id": "df527756b33d1c2722bd005b246f7df75ea0520a", "title": "Selective deep ensemble for instance retrieval", "addresses": [{"name": "Shenzhen University & Guangxi Key Laboratory of Cryptography and Information Security ", "source_name": "Shenzhen Key Laboratory of Media Security, Shenzhen University & Guangxi Key Laboratory of Cryptography and Information Security , Shenzhen and Guilin, China", "street_adddress": "3688 Nanhai Ave, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518060", "lat": "22.53306000", "lng": "113.93281300", "type": "edu", "country": "China"}, {"name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "source_name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "street_adddress": "China, Shanghai, Xuhui, \u5cb3\u9633\u8def76\u53f7", "lat": "31.20700600", "lng": "121.45196400", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5967-8"]}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "b54ed594267ead88b99bed3230e0453f54d00873", "title": "Human Recognition by Appearance and Gait", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768818040035"]}, {"id": "febff0f6faa8dde77848845e4b3e6f6c91180d33", "title": "Embedding Deep Metric for Person Re-identication A Study Against Large Variations", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00137.pdf"], "doi": []}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "adc95c86c5d5288b8d7d096ca2b77667826d985b", "title": "Self-Referenced Deep Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07598.pdf"], "doi": []}, {"id": "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "title": "Constrained Deep Metric Learning for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07545.pdf"], "doi": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "People\u2019s Public Security University of China", "source_name": "People\u2019s Public Security University of China, Beijing, China", "street_adddress": "Changping, Beijing, China, 102202", "lat": "40.12794800", "lng": "116.27810200", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8467369", "http://doi.org/10.1109/TIP.2018.2870946", "https://www.ncbi.nlm.nih.gov/pubmed/30235130"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "title": "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9c82/751e5bb63f54e9419703590ac9be86171de0.pdf"], "doi": []}, {"id": "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "title": "Attention-based Few-Shot Person Re-identification Using Meta Learning", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09613.pdf"], "doi": []}, {"id": "8520a3731e66304cac8981e97127211409b5089e", "title": "Robust Discriminative Subspace Learning for Person Reidentification", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540416"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "37eff004718e0d66a249310ab5108206d158d945", "title": "DeepDiff: Learning deep difference features on human body parts for person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://sites.nlsde.buaa.edu.cn/~shenghao/Download/publications/2017/4.DeepDiff%20Learning%20deep%20difference%20features%20on%20human%20body%20parts%20for%20person%20re-identification.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.02.055"]}, {"id": "1c8d585fb7e82abf43f45014494018a843774d2b", "title": "Consistent Iterative Multiview Transfer Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1c8d/585fb7e82abf43f45014494018a843774d2b.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/citations/mars.json b/site/datasets/citations/mars.json index fbe4fc5e..576ab162 100644 --- a/site/datasets/citations/mars.json +++ b/site/datasets/citations/mars.json @@ -1 +1 @@ -{"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "paper": {"key": "mars", "name": "MARS", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "year": "2016"}, "address": {}, "citations": [{"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "14bfa18bc0a9eaf28732948813c764390c80acc4", "title": "Joint operator detection and tracking for person following from mobile platforms", "addresses": [{"name": "University of Koblenz-Landau", "source_name": "Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany", "street_adddress": "Rhabanusstra\u00dfe 3, 55118 Mainz, Germany", "lat": "50.00335000", "lng": "8.25958700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://www.uni-koblenz.de/~agas/Documents/Wojke2017JOD.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8009746", "http://doi.org/10.23919/ICIF.2017.8009746"]}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "title": "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240622"]}, {"id": "309a62afbe1ca7ac181452c5b3c50e2f860e7e65", "title": "Panic detection by regional velocity changes in crowded areas from surveillance video", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02862840", "lng": "28.89049070", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404383"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "774b649c75078e10759b3b6c8ea581e68fc45a40", "title": "Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2c8a/064665c280942ba717a46c590b4735a8fc1e.pdf"], "doi": []}, {"id": "9d5a6d12b39c6574fe284d779d2c23c2800bb283", "title": "Vehicle Re-Identification by Deep Hidden Multi-View Inference", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325486", "http://doi.org/10.1109/TIP.2018.2819820", "https://www.ncbi.nlm.nih.gov/pubmed/29641406"]}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "9125903bf7aa68920fdca8296f703b9013a877ed", "title": "Deep spatial pyramid for person re-identification", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170814145721/Deep-Spatial-Pyramid-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078492", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078492", "http://doi.org/10.1109/AVSS.2017.8078492"]}, {"id": "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "title": "Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "addresses": [{"name": "University of California, Los Angeles", "source_name": "University of California, Los Angeles", "street_adddress": "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "lat": "34.06877880", "lng": "-118.44500940", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09882.pdf"], "doi": []}, {"id": "3149e6206484104959bcd112abb4e448fc35e311", "title": "A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240879"]}, {"id": "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "title": "Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1afd/c0b42d25df25a7cd4b304493e9b521c84f0f.pdf"], "doi": []}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "5e47ada58f5b7817acc46240f1090ba51dd0c637", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01264-9"]}, {"id": "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "title": "Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05799.pdf"], "doi": []}, {"id": "944efd74c6fd812c6c495a11e7b045c9b778702e", "title": "RCAA: Relational Context-Aware Agents for Person Search", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/944e/fd74c6fd812c6c495a11e7b045c9b778702e.pdf"], "doi": []}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "436e40bfb2b5f8ba771812b7299669e677ecb29b", "title": "Dense 3D-Convolutional Neural Network for Person Re-Identification in Videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3231741"]}, {"id": "8520a3731e66304cac8981e97127211409b5089e", "title": "Robust Discriminative Subspace Learning for Person Reidentification", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540416"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "52a152b985b298be4b382d0b6045e31f43850c6f", "title": "Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00553.pdf"], "doi": []}, {"id": "53baabad70915a852477c2191b8bdb005b8cc4a5", "title": "Temporal-Enhanced Convolutional Network for Person Re-Identification", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53ba/abad70915a852477c2191b8bdb005b8cc4a5.pdf"], "doi": []}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "5348367971754f6b63bd0c595fc3e331eed8950d", "title": "GM-PHD Filter Based Online Multiple Human Tracking Using Deep Discriminative Correlation Matching", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0004299.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461946", "http://doi.org/10.1109/ICASSP.2018.8461946"]}, {"id": "5084cf08beb04ad91ef3c5649077255097d0c5d9", "title": "Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8249811", "http://doi.org/10.1109/ACCESS.2018.2790969"]}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "title": "Dynamic Label Graph Matching for Unsupervised Video Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09297.pdf"], "doi": []}, {"id": "97527b3c58591926800e3586e13d99a8cf5b17ff", "title": "Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Technology, Princeton, NJ, USA", "source_name": "Siemens Corporate Technology, Princeton, NJ, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-tcsvt17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7994636", "http://doi.org/10.1109/TCSVT.2017.2732822"]}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "title": "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9c82/751e5bb63f54e9419703590ac9be86171de0.pdf"], "doi": []}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "92dbaaabb91d14ec71843970c604303680c26695", "title": "Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296253", "http://doi.org/10.1109/ICIP.2017.8296253"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "d56a262763c84d2bb21e9ea40f2517610f61d05f", "title": "Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "addresses": [{"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126708"]}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "5fb23b55de1c613517f55a1b878bc68bd4b543e3", "title": "Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01119.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "19ae769aa067b5bd781882cd18551f7abe01bcf1", "title": "Data Generation for Improving Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123302"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "9f1b39e8d157b74181c666e85e5d55550d762409", "title": "Three-Stream Convolutional Networks for Video-based Person Re-Identification", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01652.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01228-1"]}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "6aeadade814902ddb9d7fd0e1d2d64a70f0e3ff9", "title": "Learning Affective Features With a Hybrid Deep Model for Audio\u2013Visual Emotion Recognition", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956190", "http://doi.org/10.1109/TCSVT.2017.2719043"]}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "700bafb57112febd5d5712f474b0ecc39379320c", "title": "Deep Deformable Patch Metric Learning for Person Re-Identification", "addresses": [{"name": "Disney Research, Pittsburgh, PA, USA", "source_name": "Disney Research, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20171103171212/Deep-Deformable-Patch-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076890", "http://doi.org/10.1109/TCSVT.2017.2765242"]}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "title": "P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025424", "http://doi.org/10.1109/TCSVT.2017.2748698"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "242e19b95f1cf77a74f1a99a899a8dc7d34f7c10", "title": "Multi-scale 3D Convolution Network for Video Based Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.07468.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "43edcd7968be3abd25f8ec44ab6d6182b7277afd", "title": "Spatial Quality Aware Network for Video-Based Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_4"]}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "paper": {"key": "mars", "name": "MARS", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "year": "2016"}, "address": {}, "citations": [{"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "14bfa18bc0a9eaf28732948813c764390c80acc4", "title": "Joint operator detection and tracking for person following from mobile platforms", "addresses": [{"name": "University of Koblenz-Landau", "source_name": "Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany", "street_adddress": "Rhabanusstra\u00dfe 3, 55118 Mainz, Germany", "lat": "50.00335000", "lng": "8.25958700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://www.uni-koblenz.de/~agas/Documents/Wojke2017JOD.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8009746", "http://doi.org/10.23919/ICIF.2017.8009746"]}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "title": "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240622"]}, {"id": "309a62afbe1ca7ac181452c5b3c50e2f860e7e65", "title": "Panic detection by regional velocity changes in crowded areas from surveillance video", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02862840", "lng": "28.89049070", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404383"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "774b649c75078e10759b3b6c8ea581e68fc45a40", "title": "Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2c8a/064665c280942ba717a46c590b4735a8fc1e.pdf"], "doi": []}, {"id": "9d5a6d12b39c6574fe284d779d2c23c2800bb283", "title": "Vehicle Re-Identification by Deep Hidden Multi-View Inference", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325486", "http://doi.org/10.1109/TIP.2018.2819820", "https://www.ncbi.nlm.nih.gov/pubmed/29641406"]}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "9125903bf7aa68920fdca8296f703b9013a877ed", "title": "Deep spatial pyramid for person re-identification", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170814145721/Deep-Spatial-Pyramid-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078492", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078492", "http://doi.org/10.1109/AVSS.2017.8078492"]}, {"id": "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "title": "Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "addresses": [{"name": "University of California, Los Angeles", "source_name": "University of California, Los Angeles", "street_adddress": "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "lat": "34.06877880", "lng": "-118.44500940", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09882.pdf"], "doi": []}, {"id": "3149e6206484104959bcd112abb4e448fc35e311", "title": "A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240879"]}, {"id": "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "title": "Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1afd/c0b42d25df25a7cd4b304493e9b521c84f0f.pdf"], "doi": []}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "5e47ada58f5b7817acc46240f1090ba51dd0c637", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01264-9"]}, {"id": "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "title": "Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05799.pdf"], "doi": []}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "944efd74c6fd812c6c495a11e7b045c9b778702e", "title": "RCAA: Relational Context-Aware Agents for Person Search", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/944e/fd74c6fd812c6c495a11e7b045c9b778702e.pdf"], "doi": []}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "436e40bfb2b5f8ba771812b7299669e677ecb29b", "title": "Dense 3D-Convolutional Neural Network for Person Re-Identification in Videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3231741"]}, {"id": "8520a3731e66304cac8981e97127211409b5089e", "title": "Robust Discriminative Subspace Learning for Person Reidentification", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540416"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "52a152b985b298be4b382d0b6045e31f43850c6f", "title": "Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00553.pdf"], "doi": []}, {"id": "53baabad70915a852477c2191b8bdb005b8cc4a5", "title": "Temporal-Enhanced Convolutional Network for Person Re-Identification", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53ba/abad70915a852477c2191b8bdb005b8cc4a5.pdf"], "doi": []}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "5348367971754f6b63bd0c595fc3e331eed8950d", "title": "GM-PHD Filter Based Online Multiple Human Tracking Using Deep Discriminative Correlation Matching", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0004299.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461946", "http://doi.org/10.1109/ICASSP.2018.8461946"]}, {"id": "5084cf08beb04ad91ef3c5649077255097d0c5d9", "title": "Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8249811", "http://doi.org/10.1109/ACCESS.2018.2790969"]}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "title": "Dynamic Label Graph Matching for Unsupervised Video Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09297.pdf"], "doi": []}, {"id": "97527b3c58591926800e3586e13d99a8cf5b17ff", "title": "Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Technology, Princeton, NJ, USA", "source_name": "Siemens Corporate Technology, Princeton, NJ, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-tcsvt17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7994636", "http://doi.org/10.1109/TCSVT.2017.2732822"]}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "title": "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9c82/751e5bb63f54e9419703590ac9be86171de0.pdf"], "doi": []}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "92dbaaabb91d14ec71843970c604303680c26695", "title": "Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296253", "http://doi.org/10.1109/ICIP.2017.8296253"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "d56a262763c84d2bb21e9ea40f2517610f61d05f", "title": "Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "addresses": [{"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126708"]}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "5fb23b55de1c613517f55a1b878bc68bd4b543e3", "title": "Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01119.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "19ae769aa067b5bd781882cd18551f7abe01bcf1", "title": "Data Generation for Improving Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123302"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "9f1b39e8d157b74181c666e85e5d55550d762409", "title": "Three-Stream Convolutional Networks for Video-based Person Re-Identification", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01652.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01228-1"]}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "6aeadade814902ddb9d7fd0e1d2d64a70f0e3ff9", "title": "Learning Affective Features With a Hybrid Deep Model for Audio\u2013Visual Emotion Recognition", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956190", "http://doi.org/10.1109/TCSVT.2017.2719043"]}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "700bafb57112febd5d5712f474b0ecc39379320c", "title": "Deep Deformable Patch Metric Learning for Person Re-Identification", "addresses": [{"name": "Disney Research, Pittsburgh, PA, USA", "source_name": "Disney Research, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20171103171212/Deep-Deformable-Patch-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076890", "http://doi.org/10.1109/TCSVT.2017.2765242"]}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "title": "P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025424", "http://doi.org/10.1109/TCSVT.2017.2748698"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "242e19b95f1cf77a74f1a99a899a8dc7d34f7c10", "title": "Multi-scale 3D Convolution Network for Video Based Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.07468.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "43edcd7968be3abd25f8ec44ab6d6182b7277afd", "title": "Spatial Quality Aware Network for Video-Based Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_4"]}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/citations/mot.json b/site/datasets/citations/mot.json index 48ed8d68..a889a8d1 100644 --- a/site/datasets/citations/mot.json +++ b/site/datasets/citations/mot.json @@ -1 +1 @@ -{"id": "2258e01865367018ed6f4262c880df85b94959f8", "paper": {"key": "mot", "name": "MOT", "title": "Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics", "year": "2008"}, "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "citations": [{"id": "ed432ecd59021a96d8995269a34678c4c2774507", "title": "End-to-end Learning of Multi-sensor 3D Tracking by Detection", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11534.pdf"], "doi": []}, {"id": "2701bd6850dc1b811ef7697cc1cd19405b99f990", "title": "Privacy Preserving Multi-target Tracking", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/35b0/36b8cdb05cb8f5a348296469555894d41771.pdf"], "doi": []}, {"id": "e9336cd4c63139c481c2ed9624b04f5b9a477d80", "title": "Dynamic objects detection and tracking for a laser scanner and camera system", "addresses": [{"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324442", "http://doi.org/10.1109/ROBIO.2017.8324442"]}, {"id": "e27677a88e40d65cc28e4c8ecb35388467ec3cf8", "title": "Collaborative Tracking for Multiple Objects in the Presence of Inter-Occlusions", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047768"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "fd9b86fb36a0b48e4eca0d73f8c3c683fdaf6231", "title": "Super-High-Purity Seed Sorter Using Low-Latency Image-Recognition Based on Deep Learning", "addresses": [{"name": "Pohang University of Science and Technology", "source_name": "Pohang University of Science and Technology", "street_adddress": "\ud3ec\uc2a4\ud14d, 77, \uccad\uc554\ub85c, \ud6a8\uace1\ub3d9, \ub0a8\uad6c, \ud3ec\ud56d\uc2dc, \uacbd\ubd81, 37673, \ub300\ud55c\ubbfc\uad6d", "lat": "36.01773095", "lng": "129.32107509", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8391727"]}, {"id": "5f2a3fe58974a4e60dde5cbee46a64718ac5c179", "title": "Joint Headlight Pairing and Vehicle Tracking by Weighted Set Packing in Nighttime Traffic Videos", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.dabi.temple.edu/~hbling/publication/Joint_pair-tracking-final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8057590", "http://doi.org/10.1109/TITS.2017.2745683"]}, {"id": "8db60e5196657c4f6188ffee3d2a48d188014f6d", "title": "Realtime multi-aircraft tracking in aerial scene with deep orientation network", "addresses": [{"name": "Military Technical College, Cairo, Egypt", "source_name": "Military Technical College, Cairo, Egypt", "street_adddress": "Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.08042180", "lng": "31.29625750", "type": "mil", "country": "Egypt"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0780-1"]}, {"id": "d5aa657e0e34dac4fcff484496b0e17d5ae0f52e", "title": "Globality\u2013Locality-Based Consistent Discriminant Feature Ensemble for Multicamera Tracking", "addresses": [{"name": "INRIA Sophia Antipolis M\u00e9diterran\u00e9e, Sophia Antipolis, France", "source_name": "INRIA Sophia Antipolis M\u00e9diterran\u00e9e, Sophia Antipolis, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583719", "http://doi.org/10.1109/TCSVT.2016.2615538"]}, {"id": "fcceea054cb59f1409dda181198ed4070ed762c9", "title": "Multiple face tracking method in the wild using color histogram features", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8388318", "http://doi.ieeecomputersociety.org/10.1109/ISSPIT.2017.8388318", "http://doi.org/10.1109/ISSPIT.2017.8388318"]}, {"id": "4820e34baf57e7b3d8d70df915c1710e6e93d631", "title": "A real-time multi-class multi-object tracker using YOLOv2", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Poongsan Defense R&D Institute", "source_name": "Poongsan Defense R&D Institute", "street_adddress": "266 Techno 2-ro, Gwanpyeong-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.41841040", "lng": "127.41058600", "type": "mil", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8120665", "http://doi.org/10.1109/ICSIPA.2017.8120665"]}, {"id": "d5f1e21f71874874fd4122899a83aeae58367c5e", "title": "Robots delivering services to moving people: Individual vs. group patrolling strategies", "addresses": [{"name": "CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France", "source_name": "CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France", "street_adddress": "B\u00e2timent Hubert Curien, Domaine Scientifique de la Doua, 43 Boulevard du 11 Novembre 1918, 69100 Villeurbanne, France", "lat": "45.78385330", "lng": "4.86901190", "type": "edu", "country": "France"}, {"name": "INSA de Lyon - Universit\u00e9 de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France", "source_name": "INSA de Lyon - Universit\u00e9 de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France", "street_adddress": "1st floor, 6 Avenue des Arts, 69621 Villeurbanne, France", "lat": "45.78379620", "lng": "4.87268940", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428216", "http://doi.org/10.1109/ARSO.2015.7428216"]}, {"id": "8f3786e2064a103472ec227a03759bb5056aaffc", "title": "Multiple object tracking based on modified algorithm of GMMCP tracker", "addresses": [{"name": "National University of Defense", "source_name": "College of Machatronics Engineering, National University of Defense, Chang Sha, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888214"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "241d2c517dbc0e22d7b8698e06ace67de5f26fdf", "title": "Online, Real-Time Tracking Using a Category-to-Individual Detector", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/47563/1/ECCV2014_HALL.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890361.pdf", "http://www.vision.caltech.edu/~dhall/projects/CIT/Data/ECCV2014_HALL.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10590-1_24"]}, {"id": "2bfd2add86071064bcf3795dbb57bdb1643ce2c4", "title": "3D Person Tracking In World Coordinates and Attribute Estimation with PDR", "addresses": [{"name": "KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan", "source_name": "KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan", "street_adddress": "2 Chome-1-15 Ohara, Fujimino, Saitama Prefecture 356-0003, Japan", "lat": "35.87922290", "lng": "139.51765570", "type": "company", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806301"]}, {"id": "e604e8a2a639df10704e3f97fc93332589b8c160", "title": "Tracking of multiple planar projection boards for interactive mixed-reality applications", "addresses": [{"name": "Foundation for Research and Technology Hellas, Greece", "source_name": "Foundation for Research and Technology - Hellas (FORTH), Institute of Computer Science, Heraklion, Greece", "street_adddress": "Heraklion, Greece", "lat": "35.33873520", "lng": "25.14421260", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5313-6"]}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "11a6af9b32a93c4053dc12f70afac64a4138b2d1", "title": "Multi-hypothesis motion planning for visual object tracking", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2011", "pdf": ["http://www.cis.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning-poster.pdf", "http://www.cis.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning.pdf", "http://www.seas.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning-poster.pdf", "http://www.seas.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning-talk.pdf", "http://www.seas.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126296", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126296", "http://doi.org/10.1109/ICCV.2011.6126296", "http://repository.upenn.edu/cgi/viewcontent.cgi?article=1567&context=cis_papers"]}, {"id": "7c9f884137a22c3bb5cefcd7dfc55e3a83979771", "title": "Person tracking-by-detection with efficient selection of part-detectors", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["https://cvhci.anthropomatik.kit.edu/download/publications/Schumann2013.pdf", "https://cvhci.anthropomatik.kit.edu/~baeuml/downloads/Schumann2013.pdf", "https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636614.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636614", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636614", "http://doi.org/10.1109/AVSS.2013.6636614"]}, {"id": "e281a0f632f5dee3697578d8ddf69da92c9410ab", "title": "GbLN-PSO and Model-Based Particle Filter Approach for Tracking Human Movements in Large View Cases", "addresses": [{"name": "Universiti Malaysia Pahang, Kuantan, Malaysia", "source_name": "Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia", "street_adddress": "UMP FSKKP, Lebuhraya Tun Razak, Kampung Melayu Gambang, 26300 Gambang, Pahang, Malaysia", "lat": "3.72092440", "lng": "103.12496790", "type": "edu", "country": "Malaysia"}, {"name": "Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia", "source_name": "Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia", "street_adddress": "Lebuhraya Tun Razak, Pahang, 26300 Kuantan, Malaysia", "lat": "3.72114300", "lng": "103.12451610", "type": "edu", "country": "Malaysia"}, {"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7108014", "http://doi.org/10.1109/TCSVT.2015.2433172"]}, {"id": "220f6ef6f4bf4729871822e08080142359012e10", "title": "IMPLEMENTATION OF AUTOMATIC MULTIPLE PERSON TRACKING SYSTEM WITH OPEN CV ON BEAGLE BOARD", "addresses": [{"name": "Anna University", "source_name": "Anna University", "street_adddress": "Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India", "lat": "13.01058380", "lng": "80.23537360", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/220f/6ef6f4bf4729871822e08080142359012e10.pdf"], "doi": []}, {"id": "f5adb841e30eb635b91e95c03575f3b8767c9ed5", "title": "Learning Optimal Parameters For Multi-target Tracking", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f5ad/b841e30eb635b91e95c03575f3b8767c9ed5.pdf"], "doi": []}, {"id": "a6c40d0fb4c0420d1d974f9fbfae83da514ebfbe", "title": "Individual and group tracking with the evaluation of social interactions", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a6c4/0d0fb4c0420d1d974f9fbfae83da514ebfbe.pdf"], "doi": []}, {"id": "812e06a4cee26629e198a0a6d991616933ab14d8", "title": "Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09646.pdf"], "doi": []}, {"id": "9d6c04aa6eb0c3d7dce7e5717a16b56f86ffea48", "title": "Visual multi-object tracking via bi-level association strategy within Air-Traffic-Control surveillance videos", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486370"]}, {"id": "59778de271938df6de938deac17fd614f4640ac5", "title": "Cleaning up after a face tracker: False positive removal", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": ["http://www.cs.toronto.edu/~makarand/papers/ICIP2014.pdf", "http://www.cs.toronto.edu/~makarand/papers/posters/ICIP2014.pdf", "https://cvhci.anthropomatik.kit.edu/~mtapaswi/papers/ICIP2014.pdf", "https://cvhci.anthropomatik.kit.edu/~mtapaswi/papers/posters/ICIP2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025050", "http://doi.org/10.1109/ICIP.2014.7025050"]}, {"id": "95e999c08a9cec339a7e53aa645d32279f9a550e", "title": "Detection and Tracking of General Movable Objects in Large Three-Dimensional Maps", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8542753"]}, {"id": "2da0f99ae90ea3e6ccbd3f43e52dbf5aa1553363", "title": "To Track or To Detect? An Ensemble Framework for Optimal Selection", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2da0/f99ae90ea3e6ccbd3f43e52dbf5aa1553363.pdf"], "doi": []}, {"id": "46a93d3bb2a2abea38e432a9a125d225d729f0e4", "title": "A graph-based MAP solution for multi-person tracking using multi-camera systems", "addresses": [{"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://herakles.inf-cv.uni-jena.de/biborb/bibs/cv/papers/Jiang14:AGM.pdf", "http://www.scitepress.org/Papers/2014/46901/46901.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295103", "http://doi.org/10.5220/0004690103430350"]}, {"id": "b40856b30023d469810aacfb48e1c502804e8b7b", "title": "Toward identifying behavioral risk markers for mental health disorders: an assistive system for monitoring children\u2019s movements in a preschool classroom", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0926-y"]}, {"id": "5ffaa04d15fd159c420cc10fddf15ae39a6db865", "title": "Semi-Online Multiple Object Tracking Using Graphical Tracklet Association", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8474304", "http://doi.org/10.1109/LSP.2018.2872403"]}, {"id": "fd68662e0fe3412d47ca07d33246212d4ecfe590", "title": "Efficient track linking methods for track graphs using network-flow and set-cover techniques", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/CVPR2011.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuKunzBetke-CVPR2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995515", "http://doi.org/10.1109/CVPR.2011.5995515"]}, {"id": "f4cf8e1ec82d186303fa8c9e22ed0ff68b55496d", "title": "Multiple people tracking from 2D depth data by deterministic spatiotemporal data association", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": ["http://www.ais.uni-bonn.de/~koosy/publication/koo2013imft.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6628423", "http://doi.org/10.1109/ROMAN.2013.6628423"]}, {"id": "27b630b8d189cc9d6315cdb031573184e7c875b3", "title": "Scene-Adaptive Hierarchical Data Association for Multiple Objects Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778746", "http://doi.org/10.1109/LSP.2014.2313853"]}, {"id": "8628cb21f0ba3c270d731646b350a059204d26a4", "title": "Wide-area Multi-camera Multi-object Tracking with Dynamic Task Decomposition", "addresses": [{"name": "Fondazione Bruno Kessler, Trento, Italy", "source_name": "Fondazione Bruno Kessler, Trento, Italy", "street_adddress": "Via Santa Croce, 77, 38122 Trento TN, Italy", "lat": "46.06273420", "lng": "11.12441070", "type": "edu", "country": "Italy"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659033"]}, {"id": "056d5d942084428e97c374bb188efc386791e36d", "title": "Temporally Robust Global Motion Compensation by Keypoint-based Congealing", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.03968.pdf"], "doi": []}, {"id": "d9bda208addf00a55df23821f6d4abdb85e73599", "title": "Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d9bd/a208addf00a55df23821f6d4abdb85e73599.pdf"], "doi": []}, {"id": "444c99362e81925c1e710eb901e8f3b4659e6a42", "title": "Automated Non-Invasive Measurement of Sperm Motility and Morphology Parameters", "addresses": [{"name": "CReATe Fertility Centre, Toronto, Canada", "source_name": "CReATe Fertility Centre, Toronto, Canada", "street_adddress": "790 Bay St #1100, Toronto, ON M5G 1N8, Canada", "lat": "43.66047100", "lng": "-79.38618970", "type": "company", "country": "Canada"}, {"name": "Mount Sinai Hospital, Toronto, Canada", "source_name": "Mount Sinai Hospital, Toronto, Canada", "street_adddress": "600 University Ave, Toronto, ON M5G 1X5, Canada", "lat": "43.65746340", "lng": "-79.39036930", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461252", "http://doi.org/10.1109/ICRA.2018.8461252"]}, {"id": "361164861d8e4676079219f6d099358a31fc4025", "title": "Multiple Hypothesis Tracking Revisited", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf", "http://web.engr.oregonstate.edu/~lif/MHT_ICCV15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410890", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.533", "http://doi.org/10.1109/ICCV.2015.533"]}, {"id": "2112edee4a60602e9e5dc5e4f9e352f983f0c8c1", "title": "Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration", "addresses": [{"name": "CSIRO, Australia", "source_name": "NICTA, PO Box 6020, St Lucia, QLD 4067, Australia", "street_adddress": "Research Way, Clayton VIC 3168, Australia", "lat": "-37.90627370", "lng": "145.13194490", "type": "edu", "country": "Australia"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1303.4160.pdf"], "doi": []}, {"id": "f496c321dc171ddd1c0f280436fe40722e1b03ce", "title": "Using dominant sets for data association in multi-camera tracking", "addresses": [{"name": "University Ca' Foscari", "source_name": "University Ca' Foscari, Venezia Mestre, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2789126"]}, {"id": "b467f07202aacb8c5f7e053a7fd4e72d0da16b22", "title": "Multiple human tracking based on distributed collaborative cameras", "addresses": [{"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3163-7"]}, {"id": "62d719b40d3c8db3d33f06a5fdc34858c4d498fe", "title": "A comparative view on exemplar \u2018tracking-by-detection\u2019 approaches", "addresses": [{"name": "CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301774", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301774", "http://doi.org/10.1109/AVSS.2015.7301774", "https://hal.archives-ouvertes.fr/hal-01202882/document"]}, {"id": "8e74244e220a1c9e89417caa1ad22f649884d311", "title": "ArtTrack: Articulated Multi-Person Tracking in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01465.pdf"], "doi": []}, {"id": "047fef806e6afb3430bfc6d8a6ab09b48afb9822", "title": "Inference of Complex Trajectories by Means of a Multibehavior and Multiobject Tracking Algorithm", "addresses": [{"name": "Image Processing Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "Image Processing Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6415260", "http://doi.org/10.1109/TCSVT.2013.2241355"]}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "0480b71244b59ed13cfe844c8bac8883a0c40573", "title": "Efficient Second Order Multi-Target Tracking with Exclusion Constraints", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0ef3/b7099e81ecdab031d65c428d11bc6ca4a23c.pdf"], "doi": []}, {"id": "c9baea734a14e4302829769ac39fe8c48fbae5a1", "title": "Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02073.pdf"], "doi": []}, {"id": "f6f12e0fbfce067d02445abde76be0522e4db329", "title": "Online Multiple targets Detection and Tracking from Mobile robot in Cluttered indoor Environments with Depth Camera", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f6f1/2e0fbfce067d02445abde76be0522e4db329.pdf"], "doi": []}, {"id": "42b58427ed3265ad3c46b3e378ab09c26e91117c", "title": "Hierarchical data association and depth-invariant appearance model for indoor multiple objects tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://robotics.szpku.edu.cn/c/publication/paper/ICIP2013-wangcan1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738543", "http://doi.org/10.1109/ICIP.2013.6738543"]}, {"id": "3c3477903b5138fe5e5e007556981387dd391f77", "title": "Online adaptive multiple pedestrian tracking in monocular surveillance video", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2319-3"]}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "cc7e66f2ba9ac0c639c80c65534ce6031997acd7", "title": "Facial Descriptors for Identity-Preserving Multiple People Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/cc7e/66f2ba9ac0c639c80c65534ce6031997acd7.pdf"], "doi": []}, {"id": "b3182d09761014b4efa2787b6a66700b52c979a6", "title": "Real-time scheme for 3-dimensional localizing and tracking of people in multiple camera settings", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8204448"]}, {"id": "2338aef7041339ea4b894441e92267e4a28e4bef", "title": "Tracking Objects with Higher Order Interactions using Delayed Column Generation", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.02413.pdf"], "doi": []}, {"id": "4a64b020c72db15a729939a2c041ef4f5830f0f7", "title": "Challenges of Ground Truth Evaluation of Multi-target Tracking", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W21/papers/Milan_Challenges_of_Ground_2013_CVPR_paper.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/anton13cvprw.pdf", "http://www.milanton.de/files/cvprws2013/cvprws2013-anton.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595955", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.111", "http://doi.org/10.1109/CVPRW.2013.111"]}, {"id": "77a53d4141a8081657ce08b13dc3328ac4a4e689", "title": "You'll never walk alone: Modeling social behavior for multi-target tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2009", "pdf": ["http://europa.informatik.uni-freiburg.de/files/iccv09stefano.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_ICCV_2009/contents/pdf/iccv2009_034.pdf", "http://vision.cse.psu.edu/courses/Tracking/vlpr12/PellegriniNeverWalkAlone.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459260", "http://doi.org/10.1109/ICCV.2009.5459260"]}, {"id": "b64c2baf82c51a7538136c32f5193bdfef946297", "title": "UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b64c/2baf82c51a7538136c32f5193bdfef946297.pdf"], "doi": []}, {"id": "01018a509f32601e1bbf7f0159aad1a513e23f92", "title": "Computers in the Human Interaction Loop", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/0101/8a509f32601e1bbf7f0159aad1a513e23f92.pdf"], "doi": []}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "d04631e40b237ae29cb8d2bd187b04033580e63b", "title": "Multi-cue Based Multi-target Tracking with Boosted MHT", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d046/31e40b237ae29cb8d2bd187b04033580e63b.pdf"], "doi": []}, {"id": "1922082de84afb69c966a7628e86012342b475fd", "title": "Fast Online Tracking With Detection Refinement", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103346", "http://doi.org/10.1109/TITS.2017.2750082"]}, {"id": "5348367971754f6b63bd0c595fc3e331eed8950d", "title": "GM-PHD Filter Based Online Multiple Human Tracking Using Deep Discriminative Correlation Matching", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0004299.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461946", "http://doi.org/10.1109/ICASSP.2018.8461946"]}, {"id": "b5c945e04cdf204358e7964290867b38435ef458", "title": "Sliding-Window Optimization on an Ambiguity-Clearness Graph for Multi-object Tracking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08913.pdf"], "doi": []}, {"id": "52f68dd74f2242a45dbbd1b4ec742bc090a2c2b0", "title": "Rank-1 Tensor Approximation for High-Order Association in Multi-target Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01147-z"]}, {"id": "8dcc1e0f0215dd5fcb6d698c35180d40dadc8dac", "title": "VirtualWorlds as Proxy for Multi-object Tracking Analysis", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06457.pdf"], "doi": []}, {"id": "b3b97439c33063c9c45c305b67dd8f6066052096", "title": "Multi-modal identification and tracking of vehicles in partially observed environments", "addresses": [{"name": "Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany", "source_name": "Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany", "street_adddress": "Technische Universit\u00e4t Berlin Fachgebiet Medienwissenschaft Institut f\u00fcr Sprache und Kommunikation, Ernst-Reuter-Platz 7, 10587 Berlin, Germany", "lat": "52.51297900", "lng": "13.32002900", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer Application Center for Wireless Sensor Systems, Coburg, Germany", "source_name": "Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany", "street_adddress": "96450 Coburg, Germany", "lat": "50.25569800", "lng": "10.95508180", "type": "company", "country": "Germany"}, {"name": "Fraunhofer Institut for Open Communication Technologies (FOKUS)", "source_name": "Fraunhofer Institut for Open Communication Technologies (FOKUS), Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany", "street_adddress": "Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany", "lat": "52.52600000", "lng": "13.31448750", "type": "company", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7275470", "http://doi.org/10.1109/IPIN.2014.7275470"]}, {"id": "b0a1f562a55aae189d6a5cb826582b2e7fb06d3c", "title": "Multi-modal Mean-Fields via Cardinality-Based Clamping", "addresses": [{"name": "CVLab, EPFL, Lausanne, Switzerland", "source_name": "CVLab, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07941.pdf"], "doi": []}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "50797bf1a167ba294f640d3ae237cee962427cf0", "title": "Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by Nonnegative Discretization", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d714.pdf", "http://www.cs.cmu.edu/~iyu/files/cvpr13/cvpr13.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yu_Harry_Potters_Marauders_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619320", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.476", "http://doi.org/10.1109/CVPR.2013.476"]}, {"id": "819cc41c4b5370ef9ad6eaced1fe4005aa5fd2e6", "title": "Multitarget data association with higher-order motion models", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://vision.cse.psu.edu/courses/Tracking/vlpr12/CollinsCVPR2012.pdf", "http://www.cse.psu.edu/~rtc12/Papers/CollinsCVPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247870", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247870", "http://doi.org/10.1109/CVPR.2012.6247870"]}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "4d5c179ffdf09255edadb1bb7233e0c23e55b8b4", "title": "Multi-scale behavior learning for multi-object tracking", "addresses": [{"name": "Harbin Institue of Technology, Harbin, China", "source_name": "Haerbin Institue of Technology, Harbin, China", "street_adddress": "92 Xidazhi St, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150006", "lat": "45.74704360", "lng": "126.63343060", "type": "edu", "country": "China"}, {"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298683"]}, {"id": "5fe89653d22d35cf98a6fe6e6793da82a55f5c9f", "title": "Collaborative Deep Reinforcement Learning for Multi-object Tracking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5fe8/9653d22d35cf98a6fe6e6793da82a55f5c9f.pdf"], "doi": []}, {"id": "349f305fff405c0f38b9df2e1648450eb841fcea", "title": "Multi-target Tracking with Motion Context in Tensor Power Iteration", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Shi_Multi-target_Tracking_with_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.450", "http://doi.org/10.1109/CVPR.2014.450"]}, {"id": "4a0707131dab1c64c03bfa0809b050d34fafeeb5", "title": "Cell Lineage Tracing in Lens-Free Microscopy Videos", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a07/07131dab1c64c03bfa0809b050d34fafeeb5.pdf"], "doi": []}, {"id": "f08b25b904aac24b84e35ee7acbe208a7775f27b", "title": "Changes in Usage of an Indoor Public Space: Analysis of One Year of Person Tracking", "addresses": [{"name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "source_name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "street_adddress": "Kyoto, Kyoto Prefecture, Japan", "lat": "35.01163630", "lng": "135.76802940", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.irc.atr.jp/~drazen/pdf/THMS2015_Brscic.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981971", "http://doi.org/10.1109/THMS.2014.2374172", "https://www.wikidata.org/entity/Q57598239"]}, {"id": "2c39e50b2000fd73f648b25d70321815e410162d", "title": "A Multiple Targets Appearance Tracker Based on Object Interaction Models", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5993525", "http://doi.org/10.1109/TCSVT.2011.2165591"]}, {"id": "f043824a1d6ae1eb2ae1d5c1845c0a050efdf345", "title": "Visual Multiple Target Tracking From a Descending Aerial Platform", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8431915"]}, {"id": "7d6a8c2a857a4eb3d9f6c3c470906f2182c9473a", "title": "Hierarchical Grid-based Multi-People Tracking-by-Detection With Global Optimization", "addresses": [{"name": "German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany", "source_name": "German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany", "street_adddress": "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "lat": "48.08342380", "lng": "11.27563320", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7140789", "http://doi.org/10.1109/TIP.2015.2451013", "https://www.ncbi.nlm.nih.gov/pubmed/26151936", "https://www.wikidata.org/entity/Q40761222"]}, {"id": "c887a86430f0444f71ea4ce6da807455d0435dc7", "title": "A robust NF-GMMCP algorithm for multi-pedestrian tracking", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8284894"]}, {"id": "3507544e326253c47e4896919cccafe97a0c2661", "title": "Confidence Intervals for Tracking Performance Scores", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451433"]}, {"id": "65bccb76384bc95c8fe53f2d2a8e3f048fd880bf", "title": "Bi-label Propagation for Generic Multiple Object Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://mi.eng.cam.ac.uk/~bdrs2/papers/luo_cvpr14.pdf", "http://mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2014-CVPR-Luo.pdf", "http://mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2014-CVPR-Luo.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Luo_Bi-label_Propagation_for_2014_CVPR_paper.pdf", "https://labicvl.github.io/docs/pubs/Wenhan_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909564", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.168", "http://doi.org/10.1109/CVPR.2014.168"]}, {"id": "4a0cec395dfe1ab634f53cf295409281c40ed5c0", "title": "Multi-target tracking with hierarchical data association using main-parts and spatial-temporal feature models", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6667-0"]}, {"id": "c3717efdfd3d19018153d52c21b8b582c9629fbf", "title": "Performance evaluation of multi-target tracking without knowing ground truth", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7527887", "http://ieeexplore.ieee.org/document/7527887/"]}, {"id": "797230c284a24ae7b3c9781f8188a59345b90838", "title": "Improving robot reactivity to passers-by with a faster people detector", "addresses": [{"name": "LAAS-CNRS and Universite Paul Sabatier, Toulouse, France", "source_name": "LAAS-CNRS and Universite Paul Sabatier, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}, {"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7451814", "http://dl.acm.org/citation.cfm?id=2906935", "https://hal.archives-ouvertes.fr/hal-01296641/document"]}, {"id": "6c10226a1f68997d85aa0970521a9ff9507e0caf", "title": "Medical Image Computing and Computer-Assisted Intervention \u2212 MICCAI 2017", "addresses": [{"name": "DKFZ, Heidelberg, Germany", "source_name": "DKFZ, Heidelberg, Germany", "street_adddress": "Im Neuenheimer Feld 280, 69120 Heidelberg, Germany", "lat": "49.41441400", "lng": "8.67296070", "type": "edu", "country": "Germany"}, {"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}, {"name": "Ulm University of Applied Sciences", "source_name": "Ulm University of Applied Sciences, Ulm, Germany", "street_adddress": "Prittwitzstra\u00dfe 10, 89075 Ulm, Germany", "lat": "48.40900000", "lng": "9.99742600", "type": "edu", "country": "Germany"}, {"name": "Universit\u00e9 Laval, Qu\u00e9bec, Canada", "source_name": "Universit\u00e9 Laval, Qu\u00e9bec, Canada", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}, {"name": "Universit\u00e9 de Rennes 1, Rennes, France", "source_name": "Universit\u00e9 de Rennes 1, Rennes, France", "street_adddress": "Rue du Thabor, 35000 Rennes, France", "lat": "48.11592990", "lng": "-1.67296000", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Sherbrooke, Sherbrooke, Canada", "source_name": "Universit\u00e9 de Sherbrooke, Sherbrooke, Canada", "street_adddress": "Administration, 2500 Boulevard de l'Universit\u00e9, Sherbrooke, QC J1K 2R1, Canada", "lat": "45.37681380", "lng": "-71.92560030", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-66185-8"]}, {"id": "1ae3dd081b93c46cda4d72100d8b1d59eb585157", "title": "Online Motion Agreement Tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fea1/0f39b0a77035fb549fc580fd951384b79f9b.pdf"], "doi": []}, {"id": "28bdfdc5fcbb6ecd1d9bf02356e5a80ffe1882b3", "title": "An Improved Particle Filter Approach for Real-time Pedestrian Tracking in Surveillance Video", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://download.atlantis-press.com/article/6695.pdf"], "doi": ["https://doi.org/10.2991/icista.2013.35"]}, {"id": "b498990a90a2b60802f9532fdf88f23caed7e864", "title": "Multiple person tracking using omnidirectional cameras", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6830458", "http://doi.org/10.1109/SIU.2014.6830458"]}, {"id": "2b88c583cd62130f1e2c6921db9703a0c5746a90", "title": "Multicamera tracking of multiple humans based on colored visual hulls", "addresses": [{"name": "University of Crete", "source_name": "University of Crete", "street_adddress": "House of Europe, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a1\u03ad\u03b8\u03c5\u03bc\u03bd\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03bf\u03c5, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, \u039a\u03c1\u03ae\u03c4\u03b7, 930100, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "35.37130240", "lng": "24.47544080", "type": "edu", "country": "Greece"}], "year": "2013", "pdf": ["http://users.ics.forth.gr/~argyros/mypapers/2013_09_etfa_coloredhulls.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6647982", "http://doi.org/10.1109/ETFA.2013.6647982"]}, {"id": "f7dbb15ed72d1282445178dab3368d7676763aa6", "title": "On multi-modal people tracking from mobile platforms in very crowded and dynamic environments", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://www.vision.rwth-aachen.de/media/papers/linderICRA16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487766", "http://doi.org/10.1109/ICRA.2016.7487766"]}, {"id": "5bf6e7599c38ade8ef3b97a3411a7f84418b6062", "title": "Pedestrian detection with LeNet-like convolutional networks", "addresses": [{"name": "Universidad Rey Juan Carlos, M\u00f3stoles, Spain", "source_name": "Universidad Rey Juan Carlos, M\u00f3stoles, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-017-3197-z"]}, {"id": "46bdfee362a4de978d24d53fd704d64d82273718", "title": "Crowd Tracking with Dynamic Evolution of Group Structures", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}, {"name": "Shenzhen, China", "source_name": "Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940139.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_10"]}, {"id": "6bda2c2ab87ce2fda3b2f7e87643835f921551a0", "title": "Camera Self-Calibration Based on Nonlinear Optimization and Applications in Surveillance Systems", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364242", "http://doi.org/10.1109/TCSVT.2015.2511812"]}, {"id": "9bf0db2da5fcf245d353350f69c8eed8a63eaaeb", "title": "Robust Online Multiobject Tracking With Data Association and Track Management", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6807759", "http://doi.org/10.1109/TIP.2014.2320821", "https://www.ncbi.nlm.nih.gov/pubmed/24801247", "https://www.wikidata.org/entity/Q30815170"]}, {"id": "0f07dcf92588945eb0d70893cdf0fe4a48552763", "title": "Detection- and Trajectory-Level Exclusion in Multiple Object Tracking", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d682.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Milan_Detection-_and_Trajectory-Level_2013_CVPR_paper.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/anton13cvpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619316", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.472", "http://doi.org/10.1109/CVPR.2013.472"]}, {"id": "46f698dacdb5f76d6b4dae67cb1ae4da2b789398", "title": "Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05990.pdf"], "doi": []}, {"id": "3c7d2ac29c867600d3bda5b356db76e3a5014a71", "title": "Decentralized particle filter for joint individual-group tracking", "addresses": [{"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": ["http://www.lorisbazzani.info/papers/proceedings/Bazzanietal_CVPR12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247888", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247888", "http://doi.org/10.1109/CVPR.2012.6247888"]}, {"id": "29acb73f1aec78996d77eede7a7b72e892be9a84", "title": "Multitarget Tracking Using Hough Forest Random Field", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295597", "http://doi.org/10.1109/TCSVT.2015.2489438"]}, {"id": "f2b627f11a36c359de9aab6c44796e1d30d30b64", "title": "Multiple Pedestrian Tracking From Monocular Videos in an Interacting Multiple Model Framework", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141418", "http://doi.org/10.1109/TIP.2017.2779856", "https://www.ncbi.nlm.nih.gov/pubmed/29990195"]}, {"id": "cf6b966a2d45fd44ef8f86cf0ba805cdc4d4ad57", "title": "Online multi-person tracking assist by high-performance detection", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11227-017-2202-8"]}, {"id": "0c8769bf0501fdd7fbc94ca81601de4a40679295", "title": "On Duality Of Multiple Target Tracking and Segmentation", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04542.pdf"], "doi": []}, {"id": "67c25e73b89166563cf5b70ffc043bbff23a321c", "title": "Handling of False Stationary Detections in Background Subtraction in Video Preprocessing", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/67c2/5e73b89166563cf5b70ffc043bbff23a321c.pdf"], "doi": []}, {"id": "3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc", "title": "Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory", "addresses": [{"name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "source_name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "street_adddress": "Zoumaliang Rd, Banan Qu, Chongqing Shi, China", "lat": "29.42475500", "lng": "106.53683700", "type": "edu", "country": "China"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451174", "http://doi.org/10.1109/ICIP.2018.8451174"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "2781de1aa6f4c9621ad3af38fc58b894696f1791", "title": "FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1407.6251.pdf"], "doi": []}, {"id": "28b59fcd3d642f8d92a7c868c0076b00bd7f55cf", "title": "Multi-target tracking in team-sports videos via multi-level context-conditioned latent behaviour models", "addresses": [{"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/28b5/9fcd3d642f8d92a7c868c0076b00bd7f55cf.pdf"], "doi": []}, {"id": "5e024e0fd57ab03e4fc767ffa5fa4c71328d5ad7", "title": "Kalman Filter Based Multiple Human Tracking Method in Auto-aligned Multi-Camera Environment", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Korea University of Science and Technology", "source_name": "Division of Nano & Information Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Korea", "street_adddress": "217 Gajeong-ro, Sinseong-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.38513950", "lng": "127.36834130", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441884", "http://doi.org/10.1109/URAI.2018.8441884"]}, {"id": "21a82c06f71a99ce40f5ffb72fe2908abac8433c", "title": "Track-oriented evaluation of multi-target tracking without knowing ground truth", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8009730", "http://doi.org/10.23919/ICIF.2017.8009730"]}, {"id": "813dc79f5f439050d68c923a410940d0d139ceb2", "title": "Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model", "addresses": [{"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-24965-5_63"]}, {"id": "54c5fad54492650f6eccb90bafcab8c2b779ee2f", "title": "Real-time text tracking in natural scenes", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/54c5/fad54492650f6eccb90bafcab8c2b779ee2f.pdf"], "doi": []}, {"id": "1849b903e19b3abfeff7b0c86cc875f6b42b0818", "title": "Leveraging weak segmentation for multi-object tracking system", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122579", "http://doi.org/10.1109/SMC.2017.8122579"]}, {"id": "d7c094f5be41a13a579d8922ec4d50c70be1c276", "title": "Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive Likelihoods", "addresses": [{"name": "Marquette University", "source_name": "Marquette University", "street_adddress": "Marquette University, West Wisconsin Avenue, University Hill, Milwaukee, Milwaukee County, Wisconsin, 53226, USA", "lat": "43.03889625", "lng": "-87.93155450", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7c0/94f5be41a13a579d8922ec4d50c70be1c276.pdf"], "doi": []}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "7e6f7ce8ec6f62c4bf68f84207973914fc8e79b9", "title": "Exploring bounding box context for multi-object tracker fusion", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.vision.rwth-aachen.de/media/papers/breuersWACV16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477564", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477564", "http://doi.org/10.1109/WACV.2016.7477564"]}, {"id": "d914c53cdf26acc64259d381fbd45c4e150633ee", "title": "Pedestrian Tracking in the Compressed Domain Using Thermal Images", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d914/c53cdf26acc64259d381fbd45c4e150633ee.pdf"], "doi": []}, {"id": "4b8ecd100d6640fd7659be2715c86b7a9103240b", "title": "Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4b8e/cd100d6640fd7659be2715c86b7a9103240b.pdf"], "doi": []}, {"id": "e7c2670a0785d0fa1fd768f5c119f0e43a376b97", "title": "Automated Non-Invasive Measurement of Single Sperm\u2019s Motility and Morphology", "addresses": [{"name": "CReATe Fertility Centre, Toronto, Canada", "source_name": "CReATe Fertility Centre, Toronto, Canada", "street_adddress": "790 Bay St #1100, Toronto, ON M5G 1N8, Canada", "lat": "43.66047100", "lng": "-79.38618970", "type": "company", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Mount Sinai Hospital, Toronto, Canada", "source_name": "Mount Sinai Hospital, Toronto, Canada", "street_adddress": "600 University Ave, Toronto, ON M5G 1X5, Canada", "lat": "43.65746340", "lng": "-79.39036930", "type": "edu", "country": "Canada"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8365808", "http://doi.org/10.1109/TMI.2018.2840827", "https://www.ncbi.nlm.nih.gov/pubmed/29993571"]}, {"id": "9b477dde9aabadba1ad2f2f180e755f31af904aa", "title": "Parameter estimation and contextual adaptation for a multi-object tracking CRF model", "addresses": [{"name": "Idiap Research Institute - CH-1920, Martigny, Switzerland", "source_name": "Idiap Research Institute - CH-1920, Martigny, Switzerland", "street_adddress": "Rue Marconi 19, 1920 Martigny, Switzerland", "lat": "46.10937600", "lng": "7.08444300", "type": "edu", "country": "Switzerland"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne - CH-1015, Lausanne, Switzerland", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne - CH-1015, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2013", "pdf": ["http://publications.idiap.ch/downloads/papers/2012/Heili_PETS_2013.pdf", "http://www.idiap.ch/~odobez/publications/HeiliOdobez-IEEE-PETS-2013.pdf", "https://infoscience.epfl.ch/record/192448/files/Heili_PETS_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6523790"]}, {"id": "ef92368c21c1310a6134de0cf5befac4443e3e85", "title": "Event-driven track management method for robust multi-vehicle tracking", "addresses": [{"name": "Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea", "source_name": "Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea", "street_adddress": "223 Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, South Korea", "lat": "35.70270780", "lng": "128.45462720", "type": "edu", "country": "South Korea"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5940458", "http://doi.org/10.1109/IVS.2011.5940458"]}, {"id": "328ffd128c86fe0b2d78fc59f3b83cf9c267ade9", "title": "Socially Constrained Tracking in Crowded Environments Using Shoulder Pose Estimates", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461030", "http://doi.org/10.1109/ICRA.2018.8461030"]}, {"id": "823db29d4c2a79e309ad2b394a4aaa83d9e15284", "title": "Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/823d/b29d4c2a79e309ad2b394a4aaa83d9e15284.pdf"], "doi": []}, {"id": "1b6202f28a66dc73f51eab72b2e0e73520f06c48", "title": "OpenPTrack: Open source multi-camera calibration and people tracking for RGB-D camera networks", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://www.dei.unipd.it/~munaro/media/Munaro_PCL-RAS2015.pdf"], "doi": ["https://doi.org/10.1016/j.robot.2015.10.004"]}, {"id": "7da261ca2cff495bd7744504797c4c3d5b8b9b4c", "title": "Particle PHD Filter Based Multiple Human Tracking Using Online Group-Structured Dictionary Learning", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}, {"name": "State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China", "source_name": "State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China", "street_adddress": "5 Zhongguancun S St, Haidian Qu, Beijing Shi, China", "lat": "39.96038900", "lng": "116.31856700", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8318585", "http://doi.org/10.1109/ACCESS.2018.2816805"]}, {"id": "0824768412cf2c3e9f550025eee06bb34e5f3afd", "title": "Latent Data Association: Bayesian Model Selection for Multi-target Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Segal_Latent_Data_Association_2013_ICCV_paper.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/segal_etal_iccv2013/segal_etal_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751472", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.361", "http://doi.org/10.1109/ICCV.2013.361"]}, {"id": "2103bb6772bf01e43a8a4e8e34f16baac7d7c331", "title": "Information theoretic sensor management for multi-target tracking with a single pan-tilt-zoom camera", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/WACV_2014_Cristani.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/01/06836009.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836009", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836009", "http://doi.org/10.1109/WACV.2014.6836009"]}, {"id": "b88b57d52f6f16986381fa0ba9d5a1387886c157", "title": "Audio-visual tracking by density approximation in a sequential Bayesian filtering framework", "addresses": [{"name": "INRIA Grenoble Rh\u00f4ne-Alpes, France", "source_name": "INRIA Grenoble Rh\u00f4ne-Alpes, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7895564", "http://doi.org/10.1109/HSCMA.2017.7895564"]}, {"id": "d15662886a615521d4205fa1ededb3d794b9f944", "title": "Multi-modal people tracking on a mobile companion robot", "addresses": [{"name": "Ilmenau University of Technology", "source_name": "Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany", "street_adddress": "Ilmenau, Germany", "lat": "50.68435020", "lng": "10.92547280", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Volkhardt-ECMR-2013b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6698856", "http://doi.org/10.1109/ECMR.2013.6698856"]}, {"id": "e95cdc2997760c90aaaac6561c84e68d5f94aa36", "title": "Alextrac: Affinity learning by exploring temporal reinforcement within association chains", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://alex.bewley.ai/papers/BewleyICRA2016_accepted.pdf", "http://www-personal.acfr.usyd.edu.au/f.ramos/Fabio_Ramos_Homepage/Publications_files/ICRA16_1388_FI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487371", "http://doi.org/10.1109/ICRA.2016.7487371"]}, {"id": "c79eb3b4d8324eb824493e53bfcb4d3980398523", "title": "Tracking people within groups with RGB-D data", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": ["http://robotics.dei.unipd.it/images/Papers/Conferences/munaro_iros12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385772", "http://doi.org/10.1109/IROS.2012.6385772"]}, {"id": "a9e0e667537c9059b3050a64d22b8fe86787d913", "title": "Detecting and Tracking Vehicles , Pedestrians , and Bicyclists at Intersections with a Stationary Lidar", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a9e0/e667537c9059b3050a64d22b8fe86787d913.pdf"], "doi": []}, {"id": "5d9822e581ea793bc70998ee8b40c6ae37e5a994", "title": "A classification and clustering method for tracking multiple objects", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301626"]}, {"id": "1a10782ce899b0f884aaa8ef4659976adb5d0699", "title": "Clustering of tracklets for on-line multi-target tracking in networked camera systems", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "VDG Security B.V., Zoetermeer, The Netherlands", "source_name": "VDG Security B.V., Zoetermeer, The Netherlands", "street_adddress": "Platinastraat 65, 2718 SZ Zoetermeer, Netherlands", "lat": "52.03906240", "lng": "4.50348140", "type": "company", "country": "Netherlands"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5945951", "http://doi.org/10.1109/CISDA.2011.5945951"]}, {"id": "6fbf3df212eddaca8d3600065b341ad5174ae5c1", "title": "Dynamic Behavior Analysis via Structured Rank Minimization", "addresses": [{"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/georgakis_ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0985-3"]}, {"id": "3aee2ec5a43d599742af6a87427095b9cdf06a8b", "title": "Hyper-Optimization tools comparison for parameter tuning applications", "addresses": [{"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}, {"name": "LAAS-CNRS, Universit\u00e9 de Toulouse, CNRS, UPS, Toulouse, France", "source_name": "LAAS-CNRS, Université de Toulouse, CNRS, UPS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078499"]}, {"id": "39df8bc28c6a5ba494bf2d31f68bba06acf934a5", "title": "Moving object tracking for aerial video coding using linear motion prediction and block matching", "addresses": [{"name": "Institut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "Institut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38864370", "lng": "9.71259330", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://www.tnt.uni-hannover.de/papers/data/1185/Meuel_et_al_Moving_Object_Tracking_for_Aerial_Video_Coding_using_Linear_Motion_Prediction_and_Block_Matching_PCS2016.pdf", "https://www.tnt.uni-hannover.de/papers/data/1185/Meuel_et_al_Moving_Object_Tracking_for_Aerial_Video_Coding_using_Linear_Motion_Prediction_and_Block_Matching_PCS2016_POSTER.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7906333", "http://doi.org/10.1109/PCS.2016.7906333"]}, {"id": "58c17688fc08eb69ff3b20803a227693289d63c5", "title": "Online multiple objects tracking with detection reliability prior constraint", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5530-z"]}, {"id": "4774b9853968b12156287bd42bb425d79f99e313", "title": "Online Multi-object Tracking Based on Hierarchical Association Framework", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w20/papers/Ju_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789651", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.161", "http://doi.org/10.1109/CVPRW.2016.161"]}, {"id": "a9624e3c04272fe06fcc440a04b373533439c111", "title": "Pattern Recognition and Computer Vision", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-03341-5"]}, {"id": "572791e2f290dc0ecb05e56bfa714c4b7af79b08", "title": "Extended MHT algorithm for multiple object tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2382358"]}, {"id": "817502a2b3d7db07f89158ce2996a9e4bc433a8b", "title": "RefineNet: Refining Object Detectors for Autonomous Driving", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/rakesh_refinenet_2016.pdf", "https://eshed1.github.io/papers/refineNet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944662", "http://doi.org/10.1109/TIV.2017.2695896"]}, {"id": "9a5473662819063cb60c1b29e6544b9314b9b29f", "title": "Predicting Social Interactions for Visual Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f109/9ae1a4c710a3f678a525a4c955245019a9c3.pdf"], "doi": []}, {"id": "7372c1e9cb87dad88bc160536263e461bb7ab04c", "title": "Trajectory energy minimization for cell growth tracking and genealogy analysis", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7372/c1e9cb87dad88bc160536263e461bb7ab04c.pdf"], "doi": []}, {"id": "267bd60e442d87c44eaae3290610138e63d663ab", "title": "PoseTrack: Joint Multi-person Pose Estimation and Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07727.pdf"], "doi": []}, {"id": "1ae8afd68c2bec15ab5d02299c739151cd668ca3", "title": "Human behaviour recognition in data-scarce domains", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pure.qub.ac.uk/portal/files/56945093/Baxt1_s2.0_S0031320315000795_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/8744350/1_s2.0_S0031320315000795_main.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2015.02.019"]}, {"id": "2524d9d45471fa8908b17f04060b68e7cfeff841", "title": "Wizard of Oz revisited: Researching on a tour guide robot while being faced with the public", "addresses": [{"name": "University of Applied Sciences Dresden", "source_name": "University of Applied Sciences Dresden, Artificial Intelligence Lab, Germany", "street_adddress": "01069 Dresden, Germany", "lat": "51.02927340", "lng": "13.72899640", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6343833", "http://doi.org/10.1109/ROMAN.2012.6343833"]}, {"id": "8c8a61fc2c0e426aa64e50756b777475f3beb49b", "title": "Robust Marker-Based Tracking for Measuring Crowd Dynamics", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8c8a/61fc2c0e426aa64e50756b777475f3beb49b.pdf"], "doi": []}, {"id": "4643a480f115d5ae96259f204b6712c1e769a699", "title": "Real-Time People Tracking in a Camera Network", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507659"]}, {"id": "8b928332d60e995bce78ff543a2d7a37f1103ac6", "title": "Person Tracking in Large Public Spaces Using 3-D Range Sensors", "addresses": [{"name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "source_name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "street_adddress": "Kyoto, Kyoto Prefecture, Japan", "lat": "35.01163630", "lng": "135.76802940", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://www.irc.atr.jp/~drazen/pdf/THMS_Brscic_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636027", "http://doi.org/10.1109/THMS.2013.2283945", "https://www.wikidata.org/entity/Q57598258"]}, {"id": "89f680a78d118f14753056496dd26059ca08a6c7", "title": "A Modified MDP Algorithm for Multi-Pedestrians Tracking", "addresses": [{"name": "National University of Defense Technology University", "source_name": "National University of Defense Technology University, College of Intelligent Science, Changsha, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8469500"]}, {"id": "e8cda2c754670850ec722799640c6cb42dfb8199", "title": "4D Generic Video Object Proposals", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09260.pdf"], "doi": []}, {"id": "61ed130bd12c5ff8170a9bcbb4e108657ec5942a", "title": "Automatic analysis of deep-water remotely operated vehicle footage for estimation of Norway lobster abundance", "addresses": [{"name": "Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia", "source_name": "Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}, {"name": "Centro de Ci\u00eancias do Mar (CCMAR), Portugal", "source_name": "Centro de Ci\u00eancias do Mar (CCMAR) - Campus de Gambelas, Faro, Portugal", "street_adddress": "Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal", "lat": "37.04326800", "lng": "-7.97327500", "type": "edu", "country": "Portugal"}, {"name": "Instituto Portugu\u00eas do Mar e da Atmosfera (IPMA), Divis\u00e3o de Modela\u00e7\u00e3o e Gest\u00e3o de Recursos da Pesca, Lisbon, Portugal", "source_name": "Instituto Portugu\u00eas do Mar e da Atmosfera (IPMA), Divis\u00e3o de Modela\u00e7\u00e3o e Gest\u00e3o de Recursos da Pesca, Lisbon, Portugal", "street_adddress": "R. da Escola Polit\u00e9cnica 27, 1250-099 Lisboa, Portugal", "lat": "38.71718240", "lng": "-9.14978190", "type": "edu", "country": "Portugal"}, {"name": "Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Lisbon, Portugal", "source_name": "Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Lisbon, Portugal", "street_adddress": "Instituto Superior T\u00e9cnico, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal", "lat": "38.73684640", "lng": "-9.13934570", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1631/FITEE.1700720"]}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "5d58d4164493924906231a28153e50342fdf1198", "title": "Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1402.2016.pdf"], "doi": []}, {"id": "b5db3a52a8d22d3a6cc3ea66f7babef7b8503f53", "title": "Visual fish tracking: Combining a two-stage graph approach with CNN-features", "addresses": [{"name": "Friedrich Schiller University Jena", "source_name": "Computer Vision Group, Friedrich Schiller University Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}, {"name": "Fulda University of Applied Sciences", "source_name": "Fulda University of Applied Sciences, Fulda, Germany", "street_adddress": "Leipziger Str. 123, 36037 Fulda, Germany", "lat": "50.56538480", "lng": "9.68825800", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8084691", "http://doi.org/10.1109/OCEANSE.2017.8084691"]}, {"id": "fba5b5a8675d5f9e57243fd7a1320193db321150", "title": "Using The Voice Spectrum For Improved Tracking Of People In A Joint Audio-Video Scheme", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6638333", "http://doi.org/10.1109/ICASSP.2013.6638333"]}, {"id": "fbdc18d9e6bfcbac30b8bb330c71b6f2be48395e", "title": "Online multi-object tracking with convolutional neural networks", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296360", "http://doi.org/10.1109/ICIP.2017.8296360"]}, {"id": "a045ce22bd4372c3b6a1c5ccde5df88974927fc1", "title": "Structural Constraint Data Association for Online Multi-object Tracking", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}, {"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv18_mot1.pdf"], "doi": ["http://doi.org/10.1007/s11263-018-1087-1"]}, {"id": "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "title": "Multi-omnidirectional cameras for ambient intelligence", "addresses": [{"name": "Bo\u011fazi\u00e7i \u00dcniversitesi, Turkey", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, 34342 Bebek, \u0130stanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204823", "http://doi.org/10.1109/SIU.2012.6204823"]}, {"id": "f8549b73b76078a6c89a8c35040c73fcbc884e20", "title": "Classification of road users detected and tracked with LiDAR at intersections", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f854/9b73b76078a6c89a8c35040c73fcbc884e20.pdf"], "doi": []}, {"id": "df01f6be9573a7864e86d960db7cf3cef3a8199d", "title": "Multi-Agent Reinforcement Learning for Multi-Object Tracking", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df01/f6be9573a7864e86d960db7cf3cef3a8199d.pdf"], "doi": []}, {"id": "fbece7c5584662d1da447b12e9a2be6fe626216e", "title": "Template-based people detection using a single downward-viewing fisheye camera", "addresses": [{"name": "Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC", "source_name": "Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC", "street_adddress": "No. 19\u865f, Zhongxing Road, Yangmei District, Taoyuan City, Taiwan 326", "lat": "24.91884430", "lng": "121.18410930", "type": "edu", "country": "Taiwan"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266570", "http://doi.org/10.1109/ISPACS.2017.8266570"]}, {"id": "d84f9b4dd297075aecec1135a280f92c8ce7f1af", "title": "Automatic tracking of multiple zebrafish larvae with resilience against segmentation errors", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8363776", "http://doi.org/10.1109/ISBI.2018.8363776"]}, {"id": "3d1b0c7e9ef0e31dd635041539e795dc07ebee86", "title": "Tracking people in 3D using a bottom-up top-down detector", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/spinelloICRA11.pdf", "http://www2.informatik.uni-freiburg.de/~luber/icra11/spinelloICRA11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5980085", "http://doi.org/10.1109/ICRA.2011.5980085"]}, {"id": "d8bc2e2537cecbe6e751d4791837251a249cd06d", "title": "Assessing tracking performance in complex scenarios using mean time between failures", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cse.psu.edu/~rtc12/Papers/wacv2016CarrCollins.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477617", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477617", "http://doi.org/10.1109/WACV.2016.7477617"]}, {"id": "38079a7f127ee9279ac99c4e18f87e80777cc895", "title": "Multiobject tracking as maximum weight independent set", "addresses": [{"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://web.engr.oregonstate.edu/~sinisa/research/publications/cvpr11_MWIS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995395", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995395", "http://doi.org/10.1109/CVPR.2011.5995395"]}, {"id": "286f443fa85bc9d892ab54878c0ace0264d0dcff", "title": "Principled Parallel Mean-Field Inference for Discrete Random Fields", "addresses": [{"name": "CVLab, EPFL, Lausanne, Switzerland", "source_name": "CVLab, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06103.pdf"], "doi": []}, {"id": "1442f7813f2a14c14f977b2fff833f5c502db59a", "title": "Tracking Multiple Maneuvering Targets Using Integer Programming and Spline Interpolation", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455837", "http://doi.org/10.23919/ICIF.2018.8455837"]}, {"id": "448284cba619e3d0cdf4c0023db91ec3fdcaa349", "title": "Hierarchical Data Association Framework with Occlusion Handling for Multiple Targets Tracking", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714396", "http://doi.org/10.1109/LSP.2014.2300497"]}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "c5ba4e0a8abadb68b3de135e3da522059a99b2cd", "title": "Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://www.dei.unipd.it/~munaro/media/Zennaro_ICME2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177380", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177380", "http://doi.org/10.1109/ICME.2015.7177380"]}, {"id": "d8fcfb25195b71b85cec72edf160f00f160cbe70", "title": "Global data association for the Probability Hypothesis Density filter using network flows", "addresses": [{"name": "University of Koblenz-Landau", "source_name": "Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany", "street_adddress": "Rhabanusstra\u00dfe 3, 55118 Mainz, Germany", "lat": "50.00335000", "lng": "8.25958700", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://www.uni-koblenz.de/~agas/Documents/Wojke2016GDA.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487180", "http://doi.org/10.1109/ICRA.2016.7487180"]}, {"id": "3a92179c7d9f938dd313ea2620f5b3329f167d56", "title": "First-person multiple object tracking in complex traffic scenes", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025475", "http://doi.org/10.1109/ICIP.2014.7025475"]}, {"id": "18219d85bb14f851fc4714df19cc7f38dff8ddc3", "title": "Adaptation of Convolutional Neural Networks for the 2017 DAVIS Challenge on Video Object Segmentation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1821/9d85bb14f851fc4714df19cc7f38dff8ddc3.pdf"], "doi": []}, {"id": "4eb2f74766378c218e01cca0f23db47df00bd1fc", "title": "Robust and low complexity obstacle detection and tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795717", "http://doi.org/10.1109/ITSC.2016.7795717"]}, {"id": "2a547bf34d185f80a0d476148721b6f05c276256", "title": "Detection , Description and Tracking of Ants in Video Sequences", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2a54/7bf34d185f80a0d476148721b6f05c276256.pdf"], "doi": []}, {"id": "4f7b5130d0356ada11f34bf469b2a9c6a00a5e6b", "title": "Online multi-target tracking using non-linear motion estimation", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": ["http://cheonji.kaist.ac.kr/pdfsrc/ic/2014_SJKim_URAI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7057490", "http://doi.org/10.1109/URAI.2014.7057490"]}, {"id": "072457191c91a50bd16df6d211380c9fcc21a057", "title": "Tracking-by-detection of multiple persons by a resample-move particle filter", "addresses": [{"name": "Goi Eskola Politeknikoa, Mondragon, Spain", "source_name": " Goi Eskola Politeknikoa, Mondragon Goi Unibertsitatea, Mondragon, Spain", "street_adddress": "Goiru Kalea, 2, 20500 Arrasate, Gipuzkoa, Spain", "lat": "43.06313740", "lng": "-2.50667930", "type": "edu", "country": "Spain"}, {"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France", "source_name": "Universit\u00e9 de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France", "street_adddress": "Route de Narbonne, 31330 Toulouse, France", "lat": "43.56196870", "lng": "1.47005370", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://homepages.laas.fr/lerasle/pdf/mva13.pdf"], "doi": ["http://doi.org/10.1007/s00138-013-0534-9"]}, {"id": "d0f709ab39e280467d854064132570c1d5316de5", "title": "Multi-Object Tracking and Identification over Sets", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.07960.pdf"], "doi": []}, {"id": "de92ac27693598254554531d8cadfd4728c423a1", "title": "Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02843.pdf"], "doi": []}, {"id": "de608b8696b151405105abef1de66a2199cf1f3c", "title": "Connected Component Model for Multi-Object Tracking", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471478", "http://doi.org/10.1109/TIP.2016.2570553", "https://www.ncbi.nlm.nih.gov/pubmed/28113425", "https://www.wikidata.org/entity/Q39005094"]}, {"id": "7711330fb88e2522a5779a09c1622b75557f9254", "title": "Real-time detection and tracking of pedestrians in CCTV images using a deep convolutional neural network", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7711/330fb88e2522a5779a09c1622b75557f9254.pdf"], "doi": []}, {"id": "751923405938a9f6b9dff74cf34dd34c7427b30f", "title": "Online visual multi-object tracking based on fuzzy logic", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603315", "http://doi.org/10.1109/FSKD.2016.7603315"]}, {"id": "9883759eb90c2aff373b48d31d3e5700b3bd256a", "title": "Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering.", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9883/759eb90c2aff373b48d31d3e5700b3bd256a.pdf"], "doi": []}, {"id": "11ce6be0fa8972659bd288a5f51c152fe38a1881", "title": "Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence", "addresses": [{"name": "BioMerieu, La Balme-les-Grottes", "source_name": "BioMerieu, La Balme-les-Grottes", "street_adddress": "TE, 3 Route de Port Michaud, 38390 La Balme-les-Grottes, France", "lat": "45.85432970", "lng": "5.33203900", "type": "company", "country": "France"}, {"name": "Gipsa-Lab, Saint-Martin d'H\u00e8res, France", "source_name": "Gipsa-Lab, Saint-Martin d'H\u00e8res, France", "street_adddress": "11 Rue des Math\u00e9matiques, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19344150", "lng": "5.76631150", "type": "edu", "country": "France"}, {"name": "Thales Electron Devices, Moirans, France", "source_name": "TED, Moirans, France", "street_adddress": "460 Rue du Pommarin, 38430 Moirans, France", "lat": "45.31513600", "lng": "5.59701400", "type": "company", "country": "France"}, {"name": "Thales Electron Devices (TED), Moirans, France", "source_name": "Thales Electron Devices (TED), Moirans, France", "street_adddress": "Moirans, France", "lat": "45.32616800", "lng": "5.56472200", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389402", "http://doi.org/10.1109/TMI.2016.2520092", "https://www.ncbi.nlm.nih.gov/pubmed/26812705", "https://www.wikidata.org/entity/Q50726598"]}, {"id": "5fad6815cefa1ea061bf495784899e319724df5a", "title": "Multi-pedestrian Tracking Based on Social Forces", "addresses": [{"name": "Shenyang SIASUN Robot & Automation Co., LTD., China, Shenyang, 110168, China", "source_name": "Shenyang SIASUN Robot & Automation Co., LTD., China, Shenyang, 110168, China", "street_adddress": "Hunnan, Shenyang, Liaoning, China, 110168", "lat": "41.65577260", "lng": "123.49176050", "type": "company", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8535956"]}, {"id": "8fe0a35dc47698b45f3812bb502b0921b349ae56", "title": "Online multi-person tracking via robust collaborative model", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025086", "http://doi.org/10.1109/ICIP.2014.7025086"]}, {"id": "00b543d51bf6d16b4027ded325387518cb7fcfe1", "title": "Tracking Ants Through Occlusions", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}, {"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/00b5/43d51bf6d16b4027ded325387518cb7fcfe1.pdf"], "doi": []}, {"id": "9eb891b89443bdfc8434e4c9e08dda0253fd242c", "title": "Evaluation of Probabilistic Occupancy Map for Player Tracking in Team Sports", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9eb8/91b89443bdfc8434e4c9e08dda0253fd242c.pdf"], "doi": []}, {"id": "94bc017ea8795c774c9dd572ee44673a51dc631f", "title": "Appearance and structural motion context for multi-target tracking in aerial video", "addresses": [{"name": "National University of Defense Technology (NUDT)", "source_name": "National University of Defense Technology (NUDT), Changsha, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7984595"]}, {"id": "5646fb8250f8c900e5f281665089363abcfbac8a", "title": "Hough Forest-based Association Framework with Occlusion Handling for Multi-Target Tracking", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7366745", "http://doi.org/10.1109/LSP.2015.2512878"]}, {"id": "fa8bb8ba04432543a65343bd66b4267ccb8d4d89", "title": "Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects", "addresses": [{"name": "University of Bremen", "source_name": "University of Bremen", "street_adddress": "Bibliothekstra\u00dfe 1, 28359 Bremen, Germany", "lat": "53.10675800", "lng": "8.85204000", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.00840.pdf"], "doi": []}, {"id": "1167136efcb52cf49e89b90949149312bab19cc3", "title": "Multi-camera Pedestrian Tracking using Group Structure", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659023"]}, {"id": "78a77643f8040b3b6630985fe4236a302d73e562", "title": "Strongly connected component multi-object tracking", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7924730"]}, {"id": "4fec93d62355224981ff6323cca962e6989c0b1e", "title": "What makes for good multiple object trackers?", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7868601", "http://doi.org/10.1109/ICDSP.2016.7868601"]}, {"id": "94490145def938ca1f8bb265d10b66924937a367", "title": "Iterative Local Model Selection for tracking and mapping", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9449/0145def938ca1f8bb265d10b66924937a367.pdf"], "doi": []}, {"id": "cdf246d2eb993e80786443a984729b874f958657", "title": "Obstacle avoidance using stereo-based generic obstacle tracking", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8215284", "http://doi.org/10.1109/SBR-LARS-R.2017.8215284"]}, {"id": "2ebcb7d0f013fbc7225dd2305d76ff985b43eeec", "title": "Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking", "addresses": [{"name": "KCIS, IIIT Hyderabad, Robotics Research Center, India", "source_name": "KCIS, IIIT Hyderabad, Robotics Research Center, India", "street_adddress": "17, Old Mumbai Hwy, Vinayak Nagar, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44595810", "lng": "78.34959940", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461018"]}, {"id": "0b7f5d25cd1142b5761194f1ebeeba6780aaabb2", "title": "Estimation of the people position in the world coordinate system for video surveillance", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768816060062"]}, {"id": "a07a894108b5ddc19d18e66e969f47a3b2a6e006", "title": "On-the-Fly Performance Evaluation of Large-Scale Fiber Tracking", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a07a/894108b5ddc19d18e66e969f47a3b2a6e006.pdf"], "doi": []}, {"id": "622d84128caf728a77ecc720de4806592fb96e94", "title": "Detection- Tracking for Efficient Person Analysis: The DetTA Pipeline", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594335"]}, {"id": "5a2578a7acea823d3c8ab30b1658a44cc1f63078", "title": "Online multi-person tracking based on global sparse collaborative representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351235", "http://doi.org/10.1109/ICIP.2015.7351235"]}, {"id": "8566231abd7e5bc71ee0bc0da84b8d76ce07a501", "title": "On The Stability of Video Detection and Tracking", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06467.pdf"], "doi": []}, {"id": "37e0b4055a4915ed0c802eb91ac3a72ceb45aa42", "title": "Simultaneous detection and tracking of pedestrian from panoramic laser scanning data", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-3/295/2016/isprs-annals-III-3-295-2016.pdf"], "doi": ["https://doi.org/10.5194/isprs-annals-III-3-295-2016"]}, {"id": "7af8fa8897c6f1ec1e7f9eadb01f74b48c185588", "title": "Improving Global Multi-target Tracking with Local Updates", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7af8/fa8897c6f1ec1e7f9eadb01f74b48c185588.pdf"], "doi": []}, {"id": "3196d8797d600c98d49ea76ccc5dadd5a96e407a", "title": "Collaboration and spatialization for an efficient multi-person tracking via sparse representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301757"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "5417ec4aa67a2b00e4dc4b86a5ef6ddf0b9cdb3d", "title": "Adaptive visual target detection and tracking using incremental appearance learning", "addresses": [{"name": "Shiraz University", "source_name": "Shiraz University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0634\u06cc\u0631\u0627\u0632, \u0645\u06cc\u062f\u0627\u0646 \u0627\u0631\u0645, \u0645\u062d\u062f\u0648\u062f\u0647 \u0634\u0647\u0631\u062f\u0627\u0631\u06cc \u0645\u0646\u0637\u0642\u0647 \u06cc\u06a9 - \u0634\u0647\u0631\u062f\u0627\u0631\u06cc \u0634\u06cc\u0631\u0627\u0632, \u0634\u06cc\u0631\u0627\u0632, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0634\u06cc\u0631\u0627\u0632, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0634\u06cc\u0631\u0627\u0632, \u0627\u0633\u062a\u0627\u0646 \u0641\u0627\u0631\u0633, 71348-34689, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "29.63854740", "lng": "52.52457060", "type": "edu", "country": "Iran"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350958", "http://doi.org/10.1109/ICIP.2015.7350958"]}, {"id": "1ed39db202e606f25aff93f3e4fe135283a50cc2", "title": "Video text detection and recognition: Dataset and benchmark", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2014/09/VideoTextWACV.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836024", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836024", "http://doi.org/10.1109/WACV.2014.6836024"]}, {"id": "07ea8df90f4bf47d24a42aaec3f9b282582e200e", "title": "Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments : Thermal versus Visible Spectrum Video-Based Systems", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}, {"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/07ea/8df90f4bf47d24a42aaec3f9b282582e200e.pdf"], "doi": []}, {"id": "d80f1af929b507593c06442c6ad93e381b40283d", "title": "Labeled multi-Bernoulli track-before-detect for multi-target tracking in video", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7266714", "http://ieeexplore.ieee.org/document/7266714/"]}, {"id": "9829848932525928e5b06a8505dba2edda22c569", "title": "Object modeling and trajectory estimations for traffic analysis", "addresses": [{"name": "University of Bordeaux", "source_name": "UMR 5800, LaBRI, Talence, France", "street_adddress": "Domaine universitaire, 351, cours de la Lib\u00e9ration, 33405 Talence, France", "lat": "44.80837500", "lng": "-0.59670500", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351296", "http://doi.org/10.1109/ICIP.2015.7351296"]}, {"id": "ed0b765d4a477240a5c221c8b05dcc7e3abefd4f", "title": "Comparison and Analysis of Recursive-RANSAC for Multiple Target Tracking", "addresses": [{"name": "Brigham Young University", "source_name": "Brigham Young University, Provo, USA", "street_adddress": "Provo, UT 84602, USA", "lat": "40.25184350", "lng": "-111.64931560", "type": "edu", "country": "United States"}, {"name": "Raytheon Missile Systems, Tucson, USA", "source_name": "Raytheon Missile Systems, Tucson, USA", "street_adddress": "1151 E Hermans Rd, Tucson, AZ 85756, USA", "lat": "32.10536830", "lng": "-110.95133450", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7812590", "http://doi.org/10.1109/TAES.2017.2650818"]}, {"id": "11a1e99fc65fb8567d7f52dce941231ea949db0a", "title": "Subgraph decomposition for multi-target tracking", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/355/tangCVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_064.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_064_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299138", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299138", "http://doi.org/10.1109/CVPR.2015.7299138"]}, {"id": "0d687fb6e1a54abf022990ace6c8f901be9f85e8", "title": "Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "University of Applied Sciences Aschaffenburg", "source_name": "Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany, Germany", "street_adddress": "W\u00fcrzburger Str. 45, 63743 Aschaffenburg, Germany", "lat": "49.97119610", "lng": "9.16056230", "type": "edu", "country": "Germany"}, {"name": "University of Kassel", "source_name": "University of Kassel, Kassel, Germany", "street_adddress": "M\u00f6nchebergstra\u00dfe 19, 34125 Kassel, Germany", "lat": "51.32281900", "lng": "9.50735310", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569267"]}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "1a660d8576ed749610e0e040076d27973aee44ee", "title": "Tracking by Identification Using Computer Vision and Radio", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1a66/0d8576ed749610e0e040076d27973aee44ee.pdf"], "doi": []}, {"id": "dacf0682d0a58af9b5dcfe15243f30aaa2d94a34", "title": "Joint Individual-Group Modeling for Tracking", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/PAMI14_Cristani.pdf", "https://iris.univr.it/retrieve/handle/11562/932903/26873/Bazzanietal_PAMI14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6891328", "http://doi.org/10.1109/TPAMI.2014.2353641", "https://www.ncbi.nlm.nih.gov/pubmed/26353291", "https://www.wikidata.org/entity/Q40558275"]}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "e7a8549865978b478699647bd259f71c516c4479", "title": "Multiple People Tracking-by-Detection in a Multi-camera Environment", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e7a8/549865978b478699647bd259f71c516c4479.pdf"], "doi": []}, {"id": "0e56ba97ea6eac96c57ad4773af88a22d44f41b6", "title": "Online multiple object tracking with the hierarchically adopted GM-PHD filter using motion and appearance", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7804800"]}, {"id": "88d84fb1aab19f756c9d839e2a473834ae4b68b5", "title": "CNN-detector-based multiple homogeneous objects tracking under stochastic wide-range occlusions", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309072", "http://doi.org/10.1109/GlobalSIP.2017.8309072"]}, {"id": "081f0ff96de80b4a29d9f52e6e058bb9482efc2a", "title": "Probability occupancy maps for occluded depth images", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_066.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_066_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_066_ext.pdf", "http://www.idiap.ch/~fleuret/papers/bagautdinov-et-al-cvpr2015.pdf", "https://infoscience.epfl.ch/record/206218/files/bagautdinov.dpom.2015.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298900", "http://doi.org/10.1109/CVPR.2015.7298900"]}, {"id": "8ae88dc7ba177128f89223f48921e3a74d8bf1ff", "title": "Person re-identification in TV series using robust face recognition and user feedback", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-010-0603-2"]}, {"id": "70b23c6d8c713f5663603343b19ea5873b6696cc", "title": "Machine learning in tracking associations with stereo vision and lidar observations for an autonomous vehicle", "addresses": [{"name": "VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Universit\u00e0 degli Studi di Parma, Italy", "source_name": "VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Università degli Studi di Parma, Italy", "street_adddress": "Parco Area delle Scienze, 49, 43124 Parma PR, Italy", "lat": "44.76640040", "lng": "10.30531800", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535456", "http://doi.org/10.1109/IVS.2016.7535456"]}, {"id": "0afc4ce1ec16ef0a9ebb255004348720e0fe8c64", "title": "Real-Time Lexicon-Free Scene Text Localization and Recognition", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": ["http://cmp.felk.cvut.cz/~neumalu1/Neumann_TPAMI2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313008", "http://doi.org/10.1109/TPAMI.2015.2496234", "https://www.ncbi.nlm.nih.gov/pubmed/26540676", "https://www.wikidata.org/entity/Q50779056"]}, {"id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "title": "Tracking Multiple People Online and in Real Time", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "doi": []}, {"id": "4c6ffe1cc479d86adf5126174900e2f23afb22a9", "title": "Tracking multiple people under global appearance constraints", "addresses": [{"name": "CVLab, EPFL, Lausanne, Switzerland", "source_name": "CVLab, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["https://infoscience.epfl.ch/record/167889/files/Tracking_Multiple_People_under_Global_Appearance_Constraints.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126235", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126235", "http://doi.org/10.1109/ICCV.2011.6126235"]}, {"id": "c858c74d30c02be2d992f82a821b925669bfca13", "title": "Computer Vision \u2013 ECCV 2014", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "source_name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-10605-2", "https://doi.org/10.1007/978-3-319-10605-2"]}, {"id": "a91c74e3bdbc560653e25fdb02d337a8d20186f4", "title": "Multiple Human Tracking in RGB-D Data: A Survey", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.04450.pdf"], "doi": []}, {"id": "0d08ab78ce86e053ff3003aef951a5174d56beb8", "title": "A Thermal Infrared Video Benchmark for Visual Analysis", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/PBVS2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-PBVS-2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuFullerTheriaultBetke-PBVS-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Wu_A_Thermal_Infrared_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.39", "http://doi.org/10.1109/CVPRW.2014.39"]}, {"id": "998b6a419e5ad9ed5b9e83ed43ee9688878505f1", "title": "Robust multi-target tracking in outdoor traffic scenarios via persistence topology based robust motion segmentation", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418308", "http://doi.org/10.1109/GlobalSIP.2015.7418308"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "d0fbebf278b7e4f10a25e583743080a57b2b3f3a", "title": "Online multi-target tracking via depth range segmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China", "source_name": "Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China", "street_adddress": "6 Kexueyuan S Rd, Haidian Qu, China, 100080", "lat": "39.98186800", "lng": "116.32686600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309048", "http://doi.org/10.1109/GlobalSIP.2017.8309048"]}, {"id": "db640eddc51258cf6b11e442745d9a4bd5d6995b", "title": "Simple Baselines for Human Pose Estimation and Tracking", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06208.pdf"], "doi": []}, {"id": "a9721f9680bb21a0849a912ed24eec9ba50def9e", "title": "Benchmarking face tracking", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/a972/1f9680bb21a0849a912ed24eec9ba50def9e.pdf"], "doi": []}, {"id": "6e17c16fda71e8cd7abcf5b52b7f6438a69d9958", "title": "Integrating Social Grouping for Multitarget Tracking Across Cameras in a CRF Model", "addresses": [{"name": "University of California at Riverside", "source_name": "University of California at Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467546", "http://doi.org/10.1109/TCSVT.2016.2565978"]}, {"id": "166e7fd811d104254155c90506f2f7e77947534c", "title": "Hidden Hands: Tracking Hands with an Occlusion Aware Tracker", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/Rangesh_Hidden_Hands_Tracking_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w21/papers/Rangesh_Hidden_Hands_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789645", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.155", "http://doi.org/10.1109/CVPRW.2016.155"]}, {"id": "b6cff4ba590eab964bc49e079ed1a72a49d9e3e3", "title": "Multiple object tracking based on motion segmentation of point trajectories", "addresses": [{"name": "CERTH/ITI, Thessaloniki, Greece", "source_name": "CERTH/ITI, Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}, {"name": "ECE/UPATRAS, Patras, Greece", "source_name": "ECE/UPATRAS, Patras, Greece", "street_adddress": "Panepistimioupoli Patron 265 04, Greece", "lat": "38.28833560", "lng": "21.78864870", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": ["http://www.satisfactory-project.eu/satisfactory/wp-content/uploads/2016/08/AVSS_paper_stavropoulos.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738057", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738057", "http://doi.org/10.1109/AVSS.2016.7738057"]}, {"id": "3803a2cffe6866600e0727cec6b0d8fe66d97728", "title": "A Public Video Dataset for Road Transportation Applications", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0835/775c75f1bbfc3316695c7cba9a1d5ee28a12.pdf"], "doi": []}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "4280c600ef8621b6bed27e729cd23535ddd6b5c7", "title": "Dense Multiperson Tracking with Robust Hierarchical Linear Assignment", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6892983"]}, {"id": "321d1f8d13075275b207dd048e9b655aa8846d57", "title": "Thermal Tracking of Sports Players", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/321d/1f8d13075275b207dd048e9b655aa8846d57.pdf"], "doi": []}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "8e679b8f165b46521c76a766ddfb538fa90d3f94", "title": "Audio Assisted Robust Visual Tracking With Adaptive Particle Filtering", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/809042/1/KilicBWK_TMM_2014_postprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975225", "http://doi.org/10.1109/TMM.2014.2377515"]}, {"id": "eb0cf5727275f89323e2cbb4c0f0515b8ece75f8", "title": "A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera", "addresses": [{"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/eb0c/f5727275f89323e2cbb4c0f0515b8ece75f8.pdf"], "doi": []}, {"id": "4b2bafe419e5b40f667601f112c6f6cf8a7c86e3", "title": "Learning to Track Multiple Targets", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6855348", "http://doi.org/10.1109/TNNLS.2014.2333751", "https://www.ncbi.nlm.nih.gov/pubmed/25051561", "https://www.wikidata.org/entity/Q46145646"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "557890cef6e9285909904fa141ccddddc0da90dd", "title": "Target Identity-aware Network Flow for online multiple target tracking", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/projects/TINF/CVPR15_TINF_Poster.pdf", "http://crcv.ucf.edu/papers/cvpr2015/AfshinDehghan_TINF_CVPR15.pdf", "http://crcv.ucf.edu/people/phd_students/afshin//papers/Afshin_Dehghan_TINF_CVPR15.pdf", "http://crcv.ucf.edu/projects/TINF/CVPR15_TINF_Poster.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_004.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_004_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Dehghan_Target_Identity-Aware_Network_2015_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2015/MOT_SSVM_CVPR15_V7_CamReady.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298718", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298718", "http://doi.org/10.1109/CVPR.2015.7298718"]}, {"id": "29875d51da4063707a5e16a90493c69be6fcc006", "title": "UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Intel, Nizhny Novgorod, Russia", "source_name": "Intel, Nizhny Novgorod, Russia", "street_adddress": "Ulitsa Turgeneva, 30, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603024", "lat": "56.31949820", "lng": "44.04123880", "type": "edu", "country": "Russia"}, {"name": "Iowa State University", "source_name": "Iowa State University", "street_adddress": "Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA", "lat": "42.02791015", "lng": "-93.64464415", "type": "edu", "country": "United States"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "National Electronics and Computer Technology Center, Thailand", "source_name": "National Electronics and Computer Technology Center, Thailand", "street_adddress": "112 \u0e2d\u0e38\u0e17\u0e22\u0e32\u0e19\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c \u0e16\u0e19\u0e19\u0e1e\u0e2b\u0e25\u0e42 \u0e22\u0e18\u0e34\u0e19 Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07778590", "lng": "100.60131310", "type": "edu", "country": "Thailand"}, {"name": "National Research Council, Italy", "source_name": "National Research Council, Italy", "street_adddress": "Research Private, Ottawa, ON K1V, Canada", "lat": "45.32909590", "lng": "-75.66198580", "type": "edu", "country": "Canada"}, {"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "Technische Universit\u00e4t Berlin, Germany", "source_name": "Technische Universit\u00e4t Berlin, Germany", "street_adddress": "Stra\u00dfe des 17. Juni 135, 10623 Berlin, Germany", "lat": "52.51253220", "lng": "13.32694460", "type": "edu", "country": "Germany"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078560", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078560", "http://doi.org/10.1109/AVSS.2017.8078560"]}, {"id": "2972997fad77516bbae27fdafc0bb44f0708e806", "title": "Coupling Reranking and Structured Output SVM Co-Train for Multitarget Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.jdl.ac.cn/doc/2011/20171141245037683_coupling%20reranking%20and%20structured%20output%20svm%20co-train%20for%20multitarget%20tracking-tcsvt2016%20yingkun%20xu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7108030", "http://doi.org/10.1109/TCSVT.2015.2433173"]}, {"id": "5e8677eb21c3a5d24c52bcb93404416f7eeebc31", "title": "Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information : Object Tracking under Occlusion", "addresses": [{"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5e86/77eb21c3a5d24c52bcb93404416f7eeebc31.pdf"], "doi": []}, {"id": "f09bcd575c8bea73dcfb413840fb14d6a4caa4a8", "title": "Robust multi-object tracking using confident detections and safe tracklets", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351078", "http://doi.org/10.1109/ICIP.2015.7351078"]}, {"id": "ffc02195ad8eeafa955680b128b99ebccf4b0a91", "title": "A non-command interface for automatic document provision during meetings", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2559191"]}, {"id": "159afb7fb0740f0b48b812ed5183c2229089044d", "title": "A comparative study on multi-person tracking using overlapping cameras", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://gavrila.net/Publications/icvs13.pdf", "http://workshops.acin.tuwien.ac.at/ICVS//downloads/Orals3_ICVS13_paper_id_35_Dariu_Gavrila.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-39402-7_21"]}, {"id": "39b741be40e093f92519cd15cd2deb6e114d6200", "title": "Joint Probabilistic Data Association Revisited", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Rezatofighi_Joint_Probabilistic_Data_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Rezatofighi_Joint_Probabilistic_Data_ICCV_2015_paper.pdf", "http://www.milanton.de/files/iccv2015/iccv2015-hamid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410706", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.349", "http://doi.org/10.1109/ICCV.2015.349"]}, {"id": "60538302d064da95128f19b06413f0a16f5552d2", "title": "A Robust Online Multi-Face Tracking System", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8534679"]}, {"id": "4dbdf48318339a7ce06317137e7aa664ead783ab", "title": "Multiple object tracking based on sparse generative appearance modeling", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.polymtl.ca/litiv/doc/RiahiBilodeauICIP2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351560", "http://doi.org/10.1109/ICIP.2015.7351560"]}, {"id": "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "title": "Crowd Tracking by Group Structure Evolution", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583654", "http://doi.org/10.1109/TCSVT.2016.2615460"]}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "21ad377aeb6ff099c5a59fa82cec95b0bba177bb", "title": "MCMC particle filter-based vehicle tracking method using multiple hypotheses and appearance model", "addresses": [{"name": "Daegu Gyeongbuk Institute of Science & Technology, Korea", "source_name": "Division of Advanced Industrial Science and Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5 floor, 3 research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Republic of Korea", "street_adddress": "223 Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, South Korea", "lat": "35.70270780", "lng": "128.45462720", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6629618", "http://doi.org/10.1109/IVS.2013.6629618"]}, {"id": "2dd3dff173686d66af70e7180fabd8755dd1307d", "title": "Coupling detection and data association for multiple object tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/courses/CAP6412/Spring2013/papers/Wu-tracking-CVPR2012.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012-gray.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-CVPR-2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247896", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247896", "http://doi.org/10.1109/CVPR.2012.6247896"]}, {"id": "32b9be86de4f82c5a43da2a1a0a892515da8910d", "title": "Robust False Positive Detection for Real-Time Multi-target Tracking", "addresses": [{"name": "University of the West of Scotland", "source_name": "University of the West of Scotland", "street_adddress": "Stephenson Place Hamilton International Technology Park Blantyre, Glasgow G72 0LH, United Kingdom", "lat": "55.77824740", "lng": "-4.10409880", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://users.informatik.haw-hamburg.de/~ubicomp/arbeiten/papers/ICISP2014.pdf", "https://pdfs.semanticscholar.org/32b9/be86de4f82c5a43da2a1a0a892515da8910d.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-07998-1_52"]}, {"id": "e1f815c50a6c0c6d790c60a1348393264f829e60", "title": "PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e1f8/15c50a6c0c6d790c60a1348393264f829e60.pdf"], "doi": []}, {"id": "3b8f605c86007f7f22131e7c31ca5c327304589f", "title": "A variational approach to simultaneous tracking and classification of multiple objects", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://www.researchgate.net/profile/Victor_Romero-Cano/publication/262676886_A_Variational_Approach_to_Simultaneous_Tracking_and_Classification_of_Multiple_Objects/links/0a85e5386c2fe3ad41000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6916163", "http://ieeexplore.ieee.org/document/6916163/"]}, {"id": "9355b789dac162ad50c31cdf5d9a196cdc09828e", "title": "Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://escholarship.org/content/qt9w2556kz/qt9w2556kz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467456", "http://doi.org/10.1109/TCSVT.2016.2565998"]}, {"id": "8432cae0d463b46980dc3ba585affaaca90d1072", "title": "Joint tracking and gait recognition of multiple people in video", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296751", "http://doi.org/10.1109/ICIP.2017.8296751"]}, {"id": "075d9baf2ac827327a5fe63bb1f873c4f54f95df", "title": "Robust multi-pose face tracking by multi-stage tracklet association", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://vision.unipv.it/VA/VA-En/TEST/Rendering/Face%20tracking.pdf", "https://cvhci.anthropomatik.kit.edu/~baeuml/downloads/Roth2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460307", "http://ieeexplore.ieee.org/document/6460307/"]}, {"id": "7e02b0bce72a88f2f70b199c5dc87a01fe217832", "title": "Learning Multi-target Tracking with Quadratic Object Interactions", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.2066.pdf"], "doi": []}, {"id": "5df0fed3b37ffac6d0ae7c0a3ccce41c7044e8e8", "title": "Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Groupwise_Tracking_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yu_Groupwise_Tracking_of_CVPR_2016_paper.pdf", "https://cse.sc.edu/~songwang/document/cvpr16.pdf", "https://cvl.cse.sc.edu/Download/2016-Symposium-Hongkai.pdf", "https://cvl.cse.sc.edu/project/cvpr2016_files/1791.pdf", "https://cvl.cse.sc.edu/project/cvpr2016_files/cvpr16-poster-1791.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780478", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.109", "http://doi.org/10.1109/CVPR.2016.109"]}, {"id": "f9f34a0558a58720e1aa55421ff7583f049208a4", "title": "A hierarchical feature model for multi-target tracking", "addresses": [{"name": "Hainan University", "source_name": "Hainan University, China", "street_adddress": "China, \u7b2c\u4e00\u98df\u58022\u697c", "lat": "20.06199000", "lng": "110.32874000", "type": "edu", "country": "China"}, {"name": "Norwegian University of Science and Technology", "source_name": "Norwegian University of Science and Technology, Trondheim, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296755", "http://doi.org/10.1109/ICIP.2017.8296755"]}, {"id": "d5c14e768f91e97c16d6aeac8b108458d3eb8004", "title": "Hyper-parameter optimization tools comparison for multiple object tracking applications", "addresses": [{"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0984-1"]}, {"id": "6e32c368a6157fb911c9363dc3e967a7fb2ad9f7", "title": "Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8268/d68f6aa510a765466b2c7f2ba2ea34a48c51.pdf"], "doi": []}, {"id": "4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc", "title": "Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking", "addresses": [{"name": "University of Colorado, Denver", "source_name": "University of Colorado Denver", "street_adddress": "University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA", "lat": "39.74287785", "lng": "-105.00596398", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02143.pdf"], "doi": []}, {"id": "afa24eb881c7011e851f8a12dea32a7293cffefa", "title": "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2282-z", "https://www.wikidata.org/entity/Q57714766"]}, {"id": "529b933b0dc9c657cf829fd9bb7ff7c47d5e6d19", "title": "Integrating crowd simulation for pedestrian tracking in a multi-camera system", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2012/Integrating%20Crowd%20Simulation%20for%20Pedestrian12.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/IntegratingCrowdSimulationforPedestrianTracking14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6470157", "http://ieeexplore.ieee.org/document/6470157/"]}, {"id": "2731da4a48291640b2698cd5909c283484db10c3", "title": "Multiple object tracking by incorporating a particle filter into the min-cost flow model", "addresses": [{"name": "Harbin Institute of Technology (Shenzhen)", "source_name": "Harbin Institute of Technology (Shenzhen)", "street_adddress": "China, Guangdong, Shenzhen, Nanshan, \u5e73\u5c71\u4e00\u8def", "lat": "22.58675200", "lng": "113.96878000", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304259"]}, {"id": "e37c8e2823cc3429caca4420f19adf329c62d313", "title": "Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10256.pdf"], "doi": []}, {"id": "d5bbfef5511d215bd3d3cfee3926d313d48c3001", "title": "Online Multi-Object Tracking Using Hierarchical Constraints for Complex Scenarios", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8064178", "http://doi.org/10.1109/TITS.2017.2750058"]}, {"id": "0b79f0999eab1e2ac586a97dfc9a71809e7ab262", "title": "Joint Modeling of Algorithm Behavior and Image Quality for Algorithm Performance Prediction", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/1084/2cc3dd5f6685cbba3f06504c3bafa88ddffc.pdf"], "doi": []}, {"id": "14bfa18bc0a9eaf28732948813c764390c80acc4", "title": "Joint operator detection and tracking for person following from mobile platforms", "addresses": [{"name": "University of Koblenz-Landau", "source_name": "Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany", "street_adddress": "Rhabanusstra\u00dfe 3, 55118 Mainz, Germany", "lat": "50.00335000", "lng": "8.25958700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://www.uni-koblenz.de/~agas/Documents/Wojke2017JOD.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8009746", "http://doi.org/10.23919/ICIF.2017.8009746"]}, {"id": "62dc594c1eac220d2116506d187d9fdd5ff8e795", "title": "Robust multi-view pedestrian tracking using neural networks", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06370.pdf"], "doi": []}, {"id": "189ff58190c6ef1ff49b46f5c68a7b124b9b0059", "title": "Online Multi-target Tracking using Recurrent Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03635.pdf"], "doi": []}, {"id": "4adb3fb481d5ec33d6161d780162b616ab6c44e2", "title": "Joint Multi-View People Tracking and Pose Estimation for 3D Scene Reconstruction", "addresses": [{"name": "University of Washington (UW)", "source_name": "University of Washington (UW)", "street_adddress": "Seattle, WA 98195, USA", "lat": "47.65533510", "lng": "-122.30351990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486576", "http://doi.ieeecomputersociety.org/10.1109/ICME.2018.8486576", "http://doi.org/10.1109/ICME.2018.8486576"]}, {"id": "b40622567165b372a6e15928ab5ed41413d1d50d", "title": "Object detection and tracking using multi-layer laser for autonomous urban driving", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795564", "http://doi.org/10.1109/ITSC.2016.7795564"]}, {"id": "413f4e770cd05fb382d8ceb4f33cd2726f34b9b3", "title": "Multi-person tracking by discriminative affinity model and hierarchical association", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322838"]}, {"id": "8d7451f5c5849cb0397c3ec8cd7e2081b5d9421d", "title": "Multi-target & multi-detector people tracker for mobile robots", "addresses": [{"name": "Beta Robots, Barcelona, Catalunya, Spain", "source_name": "Beta Robots, Barcelona, Catalunya, Spain", "street_adddress": "Passeig dels Til\u00b7lers, 44, 08520 Corr\u00f3 d'Avall, Barcelona, Spain", "lat": "41.63195600", "lng": "2.29888400", "type": "edu", "country": "Spain"}, {"name": "PAL Robotics, Barcelona, Catalunya, Spain", "source_name": "PAL Robotics, Barcelona, Catalunya, Spain", "street_adddress": "4\u00ba 4\u00aa, Carrer de Pujades, 77, 08005 Barcelona, Spain", "lat": "41.39680080", "lng": "2.19395650", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/83919/1729-Multi-Target---Multi-Detector-People-Tracker-for-Mobile-Robots.pdf;jsessionid=7053C51C7D796486A19C7EAA2CD4887F?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7324223", "http://doi.org/10.1109/ECMR.2015.7324223"]}, {"id": "0f7fdd7f98ee5fbfa7d293e0f1fa399b7a4ec13a", "title": "Two-Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking under Occlusions", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0f7f/dd7f98ee5fbfa7d293e0f1fa399b7a4ec13a.pdf"], "doi": []}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "6eafa9a536d10b460f780e07c0052e7c246059e7", "title": "Automatic individual pig detection and tracking in surveillance videos", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04901.pdf"], "doi": []}, {"id": "f25ad1aa804dd6f7cfb9b02afa371fe1b9bf4378", "title": "Sentioscope: A Soccer Player Tracking System Using Model Field Particles", "addresses": [{"name": "Bilkent University", "source_name": "Bilkent University", "street_adddress": "Bilkent \u00dcniversitesi, 3. Cadde, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87204890", "lng": "32.75395155", "type": "edu", "country": "Turkey"}, {"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7156105", "http://doi.org/10.1109/TCSVT.2015.2455713"]}, {"id": "fe3208c3fd29876fc17a782a2f4f1bf3891bae0e", "title": "Multi-object tracking via MHT with multiple information fusion in surveillance video", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-014-0361-5"]}, {"id": "203abfcc3df8de6606cf34fa32cf225627f52d00", "title": "Learning Robot Vision for Assisted Living", "addresses": [{"name": "University of Alicante", "source_name": "University of Alicante, Alicante, Spain", "street_adddress": "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "lat": "38.38524460", "lng": "-0.51431610", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/203a/bfcc3df8de6606cf34fa32cf225627f52d00.pdf"], "doi": []}, {"id": "25dbf9b12475454585d5050c5cf446e1c4f6dd27", "title": "Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "LiberoVision AG, Zurich", "source_name": "LiberoVision AG, Zurich", "street_adddress": "Technoparkstrasse 1, 8005 Z\u00fcrich, Switzerland", "lat": "47.39029470", "lng": "8.51517680", "type": "company", "country": "Switzerland"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://www.mmp.rwth-aachen.de/publications/pdf/breitenstein-trackingbydetection-pami11.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_00761.pdf", "http://www.vision.rwth-aachen.de/media/papers/breitenstein-trackingbydetection-pami11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5674059", "http://doi.org/10.1109/TPAMI.2010.232", "https://www.ncbi.nlm.nih.gov/pubmed/21173441", "https://www.wikidata.org/entity/Q50690740"]}, {"id": "5be6226f1fa0c3a6f5be829b00f484582d531b6f", "title": "Online multi-model particle filter-based tracking to study bedload transport", "addresses": [{"name": "Universit\u00e9 Grenoble Alpes, France", "source_name": "Université Grenoble Alpes, Irstea, UR ETGR F-38402 St-Martin-d'Hères, France", "street_adddress": "Universit\u00e9 Grenoble Alpes, 1491 Rue des R\u00e9sidences, 38610 Saint-Martin-d'H\u00e8res, France", "lat": "45.19061570", "lng": "5.77493560", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Lyon, UJM-Saint-\u00c9tienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-\u00c9tienne, France", "source_name": "Université de Lyon, UJM-Saint-Étienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-Étienne, France", "street_adddress": "Lyon, France", "lat": "45.76404300", "lng": "4.83565900", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533008", "http://doi.org/10.1109/ICIP.2016.7533008"]}, {"id": "3c307cddf2bf84b4abcc96a362fe385c2d891c9b", "title": "A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7810052"]}, {"id": "71d3ed17c0642234a921bb45fcadd86520794941", "title": "Learning by Tracking: Siamese CNN for Robust Target Association", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07866.pdf"], "doi": []}, {"id": "78f4e29fafad7a0156cff6d14e9b92c8b8533d4c", "title": "Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/CVPR2014/Lywen-CVPR-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Wen_Multiple_Target_Tracking_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909563", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.167", "http://doi.org/10.1109/CVPR.2014.167"]}, {"id": "bb5855056f9a7e4c8f945bd965526302fb5db254", "title": "Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016", "addresses": [{"name": "Harvard Medical School , Boston, USA", "source_name": "Harvard Medical School , Boston, USA", "street_adddress": "25 Shattuck St, Boston, MA 02115, USA", "lat": "42.33563110", "lng": "-71.10411910", "type": "edu", "country": "United States"}, {"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.beck-shop.de/fachbuch/inhaltsverzeichnis/9783540651369_TOC_001.pdf", "https://pdfs.semanticscholar.org/bb58/55056f9a7e4c8f945bd965526302fb5db254.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46720-7"]}, {"id": "ddca5c18415bb855e76f9f459747685ee9c23a4d", "title": "MSMCT: Multi-State Multi-Camera Tracker", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048028", "http://doi.org/10.1109/TCSVT.2017.2755038"]}, {"id": "a8123a4e68642b602b5094f2f670ed7aefdd2f58", "title": "Online Video Object Detection Using Association LSTM", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Lu__Online_Video_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237519", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.257", "http://doi.org/10.1109/ICCV.2017.257"]}, {"id": "e3cc5d86b2032d01c1b40de0da3b7f4458c9c0ee", "title": "Globally Consistent Multi-People Tracking using Motion Patterns", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00604.pdf"], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "5055ec9531d57c6b32e5d122b04602e7441459a3", "title": "Accelerated People Tracking using Texture in a Camera Network", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://www.macs.hw.ac.uk/~greg/publications/lwm.visapp12.pdf", "http://www.scitepress.org/Papers/2012/38138/38138.pdf"], "doi": ["https://doi.org/10.5220/0003813802250234"]}, {"id": "7202235dd82965b4bf18216040e40433f96274cf", "title": "Interacting Tracklets for Multi-Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8370670", "http://doi.org/10.1109/TIP.2018.2843129", "https://www.ncbi.nlm.nih.gov/pubmed/29993548"]}, {"id": "63dd47f7ccf4bb22c1e308b263ec65ae382c86ce", "title": "Multiple target tracking and stationary object detection in video with Recursive-RANSAC and tracker-sensor feedback", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7152426"]}, {"id": "bbdc66937d1ebd5cbde36f3fe8051e168bd69603", "title": "Fluorosocopic sequence denoising using a motion compensated multi-scale temporal filtering", "addresses": [{"name": "Gipsa-lab: CNRS; Universit\u00e9 de Grenoble-Alpes, Saint-Martin-d'H\u00e8res, France", "source_name": "Gipsa-lab: CNRS; Université de Grenoble-Alpes, Saint-Martin-d'Hères, France", "street_adddress": "11 Rue des Math\u00e9matiques, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19344150", "lng": "5.76631150", "type": "edu", "country": "France"}, {"name": "Thales, Moirans, France", "source_name": "Thales, Moirans, France", "street_adddress": "460 Rue du Pommarin, 38430 Moirans, France", "lat": "45.31513600", "lng": "5.59701400", "type": "company", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350887", "http://doi.org/10.1109/ICIP.2015.7350887"]}, {"id": "ba6aec7f1b17833e7983809926a90951469f5520", "title": "People perception from RGB-D cameras for mobile robots", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7419070", "http://doi.org/10.1109/ROBIO.2015.7419070"]}, {"id": "1d8a522bbfddfe86951ea7605c7df058b2c2e1b0", "title": "Video tracking through occlusions by fast audio source localisation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738548", "http://doi.org/10.1109/ICIP.2013.6738548"]}, {"id": "1da09ba7340c77b3f943c15f80ff40f6f9d14eeb", "title": "MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos", "addresses": [{"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2010", "pdf": ["https://arxiv.org/pdf/1406.5095.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "fd23492e0db72f849502d74cf8893c9e70f35678", "title": "Winter 12-1-2011 Detection-assisted Object Tracking by Mobile Cameras", "addresses": [{"name": "University of Nebraska - Lincoln", "source_name": "University of Nebraska - Lincoln", "street_adddress": "Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA", "lat": "40.81747230", "lng": "-96.70444680", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fd23/492e0db72f849502d74cf8893c9e70f35678.pdf"], "doi": []}, {"id": "90c316d4c4bdc94908e68bbe46dd6c90a88e847f", "title": "Global tracker: An online evaluation framework to improve tracking quality", "addresses": [{"name": "INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France", "source_name": "INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/JulienAVSS14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918639", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918639", "http://doi.org/10.1109/AVSS.2014.6918639"]}, {"id": "22d8d50911c6b8994f624267677cf736be3c5a8e", "title": "Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296461", "http://doi.org/10.1109/ICIP.2017.8296461"]}, {"id": "83d0b7100ddce32e37af72585f9aa4181e6447e3", "title": "Online Social Behavior Modeling for Multi-target Tracking", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W22/papers/Zhang_Online_Social_Behavior_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595957", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.113", "http://doi.org/10.1109/CVPRW.2013.113"]}, {"id": "4822c1bf765cf99193a231c000c19ae5d0c10a00", "title": "Multi-object Tracking via Constrained Sequential Labeling", "addresses": [{"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://web.engr.oregonstate.edu/~afern/papers/cvpr14_tracking.pdf", "http://web.engr.oregonstate.edu/~sinisa/research/publications/cvpr14_tracking.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Multi-Object_Tracking_via_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909544", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.148", "http://doi.org/10.1109/CVPR.2014.148"]}, {"id": "a308ad39f3cc25096f493280319621a25c2c7f46", "title": "Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/63af/fa01d5b89d5d7faf89ca8155b88a3ba38759.pdf"], "doi": []}, {"id": "04c96e9b3b7ff1e293aa4a650ce4b49ebf7bd5d6", "title": "Tracking with local spatio-temporal motion patterns in extremely crowded scenes", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://www.cs.drexel.edu/~kon/publication/LKratz_CVPR10.pdf", "https://www.cs.drexel.edu/~kon/publication/LKratz_CVPR10_preprint.pdf", "https://www.cs.drexel.edu/~kon/pubs/LKratz_CVPR10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540149", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2010.5540149", "http://doi.org/10.1109/CVPR.2010.5540149"]}, {"id": "9458642e7645bfd865911140ee8413e2f5f9fcd6", "title": "Efficient Multiple People Tracking Using Minimum Cost Arborescences", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9458/642e7645bfd865911140ee8413e2f5f9fcd6.pdf"], "doi": []}, {"id": "a8f92b47df845b437dbf10b828a742006b75fd27", "title": "Flexible tracklet association for complex scenarios using a Markov Logic Network", "addresses": [{"name": "ONERA, Palaiseau, France", "source_name": "ONERA - The French Aerospace Lab, F-91761 Palaiseau, France", "street_adddress": "8 Chemin de la Huni\u00e8re, 91120 Palaiseau, France", "lat": "48.71467230", "lng": "2.23270940", "type": "edu", "country": "France"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130476", "http://doi.org/10.1109/ICCVW.2011.6130476"]}, {"id": "e5705294bb58bda55f32dfaf6f9783748f0cd7a8", "title": "Random finite set for data association in multiple camera tracking", "addresses": [{"name": "Institute for Infocomm Research, Singapore", "source_name": "Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2011", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202011/pdfs/0001357.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5946664", "http://doi.org/10.1109/ICASSP.2011.5946664"]}, {"id": "bb94a76badb69fd3d11de69f7a09518eca36ca5e", "title": "Occlusion handling for online visual tracking using labeled random set filters", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217567", "http://doi.org/10.1109/ICCAIS.2017.8217567"]}, {"id": "699797728e0e88f9821647dee2c40b86931c1f77", "title": "Online Multi-target Tracking with Strong and Weak Detections", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6997/97728e0e88f9821647dee2c40b86931c1f77.pdf"], "doi": []}, {"id": "76808ece9a138a8df2a28962bf1563208dbde6a3", "title": "V3I-STAL: Visual Vehicle-to-Vehicle Interaction via Simultaneous Tracking and Localization", "addresses": [{"name": "San Diego State University", "source_name": "San Diego State University, San Diego, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77572170", "lng": "-117.07188930", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2964285"]}, {"id": "591a4dddbebd3d3ce3d86f9910be40aafcb73a90", "title": "Multi-Person Tracking by Multicut and Deep Matching", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05404.pdf"], "doi": []}, {"id": "59ce048ce1f01704f37d2d60e033c3382118ecad", "title": "Obtaining three-dimensional trajectory of multiple fish in water tank via video tracking", "addresses": [{"name": "Jingdezhen Ceramic Institute, Jingdezhen, China", "source_name": "Jingdezhen Ceramic Institute, Jingdezhen, China", "street_adddress": "Taoyang S Rd, Zhushan Qu, Jingdezhen Shi, Jiangxi Sheng, China, 333000", "lat": "29.29292600", "lng": "117.25033800", "type": "edu", "country": "China"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5755-5"]}, {"id": "6ec8bb9c7aaec908b76dad89529c5ded7cab8e83", "title": "Continuous Energy Minimization for Multitarget Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Technische Universit\u00e4t Darmstadt", "source_name": "Technische Universit\u00e4t Darmstadt, Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://research.milanton.de/files/pami2014/pami2014-anton.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/papers/2014/milan-pami-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6520846", "http://doi.org/10.1109/TPAMI.2013.103", "https://www.ncbi.nlm.nih.gov/pubmed/24231866", "https://www.wikidata.org/entity/Q48704299"]}, {"id": "58eba9930b63cc14715368acf40017293b8dc94f", "title": "What Do I See? Modeling Human Visual Perception for Multi-person Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7508/ac08dd7b9694bcfe71a617df7fcf3df80952.pdf"], "doi": []}, {"id": "42d9cb791b8aa3a8658e3ac34e41a1bad1935610", "title": "Tracking Sports Players with Context-Conditioned Motion Models", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b830.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Liu_Tracking_Sports_Players_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619083", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.239", "http://doi.org/10.1109/CVPR.2013.239"]}, {"id": "218982f0878a3de667fac2bb18b9f50949aefc1c", "title": "Multi-pose multi-target tracking for activity understanding", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~izadinia/files/PID2616061.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475044", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475044", "http://doi.org/10.1109/WACV.2013.6475044"]}, {"id": "278eead9d16d003e5470bed36f4e3d680e37957b", "title": "Multi-human tracking using part-based appearance modelling and grouping-based tracklet association for visual surveillance applications", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3219-8", "https://www.wikidata.org/entity/Q56528515"]}, {"id": "63bf2c8af992e7306210d23f601840b3ca57b532", "title": "Tracking multiple ants in a colony", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://webpages.uncc.edu/~twfascia/pres/Thomas_WACV2013_Poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475065", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475065", "http://doi.org/10.1109/WACV.2013.6475065"]}, {"id": "22493d8d4d7b4604cae23638dce4981b36e30147", "title": "Learning an Image-Based Motion Context for Multiple People Tracking", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cvgl.stanford.edu/papers/LeaFenKuzRosSavCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Leal-Taixe_Learning_an_Image-based_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909848", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.453", "http://doi.org/10.1109/CVPR.2014.453"]}, {"id": "139302f87b4a23dad87b2f3a2187593f18bcd68c", "title": "Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06897.pdf"], "doi": []}, {"id": "46c9e36647f2d5b40555e4e392dd76807c73f2c2", "title": "Multi-Object Tracking in Airborne Video Imagery based on Compressive Tracking Detection Responses", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2843846"]}, {"id": "aae7648c8b3acad61463cc1bdb4f17da40f819a4", "title": "Context-based multi-target tracking with occlusion handling", "addresses": [{"name": "Auckland University of Technology", "source_name": "Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand", "street_adddress": "31 Symonds St, Auckland, 1010, New Zealand", "lat": "-36.85444260", "lng": "174.76761040", "type": "edu", "country": "New Zealand"}, {"name": "Daimler A.G, Boeblingen, Germany", "source_name": "Daimler A.G, Boeblingen, Germany", "street_adddress": "Hanns-Klemm-Stra\u00dfe 45, 71034 B\u00f6blingen, Germany", "lat": "48.67904910", "lng": "8.97664620", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-016-0770-x"]}, {"id": "e8062a0e50606e2230120e44b38a8cc26f475c22", "title": "Online Discriminative Structured Output SVM Learning for Multi-Target Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6705657"]}, {"id": "1257488885ab81ce41578bb244c258772681791a", "title": "Unified hierarchical multi-object tracking using global data association", "addresses": [{"name": "Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen", "source_name": "Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://mediatum.ub.tum.de/doc/1189672/125319.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6523791"]}, {"id": "1ba97b4f02b09c588c3d5189ecb94ec80c339caf", "title": "Multi-view Tracking of Multiple Targets with Dynamic Cameras", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1ba9/7b4f02b09c588c3d5189ecb94ec80c339caf.pdf"], "doi": []}, {"id": "616b7093cfe6ec679f25d63f62c16e937227258f", "title": "Bayesian Multi-object Tracking Using Motion Context from Multiple Objects", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/wacv15_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045866", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.12", "http://doi.org/10.1109/WACV.2015.12"]}, {"id": "4fc90013e4e2297f33a86db106843917c824d6b9", "title": "Visual object tracking\u2014classical and contemporary approaches", "addresses": [{"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-015-4246-3"]}, {"id": "586c989e12d19a48eb7084a3e07e9149c9fa7092", "title": "Online Scheme for Multiple Camera Multiple Target Tracking Based on Multiple Hypothesis Tracking", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517399", "http://doi.org/10.1109/TCSVT.2016.2593619"]}, {"id": "50137d663802224e683951c48970496b38b02141", "title": "DETRAC: A New Benchmark and Protocol for Multi-Object Tracking", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5013/7d663802224e683951c48970496b38b02141.pdf"], "doi": []}, {"id": "fdc6715efab69e057d53d782e930fd3e700cc7f9", "title": "Robust Multiperson Detection and Tracking for Mobile Service and Social Robots", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Institute for Infocomm Research, Singapore", "source_name": "Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6187748", "http://doi.org/10.1109/TSMCB.2012.2192107", "https://www.ncbi.nlm.nih.gov/pubmed/22542684", "https://www.wikidata.org/entity/Q48790519"]}, {"id": "3369b007683be909b1ff848b73a2787dc13ef0aa", "title": "Multi scale block histogram of template feature for pedestrian detection", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5654039", "http://doi.org/10.1109/ICIP.2010.5654039"]}, {"id": "44b517a544dafbf753f1b16feec26ec2c0c2a8f2", "title": "Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability", "addresses": [{"name": "Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York", "source_name": "Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York", "street_adddress": "1275 York Ave, New York, NY 10065, USA", "lat": "40.76410100", "lng": "-73.95598370", "type": "edu", "country": "United States"}, {"name": "University of Heidelberg", "source_name": "Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany", "street_adddress": "Berliner Str. 43, 69120 Heidelberg, Germany", "lat": "49.41875910", "lng": "8.67554310", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/lou_14_active.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/567785561/lou_14_active.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6698356", "http://doi.org/10.1109/TMI.2013.2296937", "https://www.ncbi.nlm.nih.gov/pubmed/24710154", "https://www.wikidata.org/entity/Q39006803"]}, {"id": "eaf421c589034b422d64c2c590d30959ce2d6c74", "title": "A discrete chain graph model for 3d+t cell tracking with high misdetection robustness", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/kausler_12_discrete.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/1549822464/kausler_12_discrete.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_11"]}, {"id": "c23153aade9be0c941390909c5d1aad8924821db", "title": "Efficient and Accurate Tracking for Face Diarization via Periodical Detection", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c231/53aade9be0c941390909c5d1aad8924821db.pdf"], "doi": []}, {"id": "191e58d41835d59b918759efb9d7b59fd8e5ee00", "title": "Branch and track", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.cs.duke.edu/~steve/papers/posterCvpr11.pdf", "http://www.cs.duke.edu/~steve/papers/posterCvpr11.pdf.pdf.filepart", "http://www.cs.duke.edu/~tomasi/papers/gu/guCvpr11.pdf", "https://users.cs.duke.edu/~tomasi/papers/gu/guCvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995599", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995599", "http://doi.org/10.1109/CVPR.2011.5995599"]}, {"id": "bd7e61b2ad008741b0845fbf3e1a7a3a9805f147", "title": "MTTV - An Interactive Trajectory Visualization and Analysis Tool", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bd7e/61b2ad008741b0845fbf3e1a7a3a9805f147.pdf"], "doi": []}, {"id": "a9607714002b5debc0cf7b96a3def0cc6a005198", "title": "Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04991.pdf"], "doi": []}, {"id": "22db2fd664a4b838149853d1f3390c6022a9ddb2", "title": "Detecting motion synchrony by video tubes", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2071973"]}, {"id": "90c01ab7f0516990e722c366155a796577bd31d8", "title": "A systematic framework for real-time online multi-object tracking", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7338725", "http://doi.org/10.1109/ICCAIS.2015.7338725"]}, {"id": "32f9cfe2e352dd036dc19d30374118c2322f4449", "title": "Global optimal data association for multiple people tracking", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www6.in.tum.de/Main/Publications/Chenlil2013a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631250", "http://doi.org/10.1109/ICRA.2013.6631250"]}, {"id": "4df1eb999ea8b7972e8f8b4ef218866aa16e98d4", "title": "Multi-object tracking with inter-feedback between detection and tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/10509/1/nerocomputing-tracking2016.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.07.028"]}, {"id": "6c58e3a8209fef0e28ca2219726c15ea5f284f4f", "title": "Temporally subsampled detection for accurate and efficient face tracking and diarization", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://publications.idiap.ch/downloads/papers/2016/Le_ICPR_2016.pdf", "http://www.idiap.ch/~odobez/publications/LeHeiliWuOdobez-ICPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899896", "http://doi.org/10.1109/ICPR.2016.7899896", "https://doi.org/10.1109/ICPR.2016.7899896"]}, {"id": "312b5c73d79ae80f9f8e4573118d372cf29a80e8", "title": "Multiple object video tracking using GRASP-MHT", "addresses": [{"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://isif.org/fusion/proceedings/fusion12CD/html/pdf/045_124.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6289822", "http://ieeexplore.ieee.org/document/6289822/"]}, {"id": "aad8d2e32f1cc21eedbdd5e8ebff9f367daa6d92", "title": "Online multi-target tracking by large margin structured learning", "addresses": [{"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2012", "pdf": ["http://cvlab.postech.ac.kr/~bhhan/papers/accv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37431-9_8"]}, {"id": "3b6cbd6eee1b75bf6f608065126408d3c3d71e99", "title": "Online multi-object tracking based on global and local features", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805435", "http://doi.org/10.1109/VCIP.2016.7805435"]}, {"id": "134994ada9a22f82b81640948afde2252e5ad5f5", "title": "Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cs.albany.edu/~lsw/papers/iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Wu_Simultaneous_Clustering_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751466", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.355", "http://doi.org/10.1109/ICCV.2013.355", "http://www.escience.cn/system/file?fileId=70045"]}, {"id": "9dc42551849d808f66dccf2e02c4f047a69c4d89", "title": "Counting people using gradient boosted trees", "addresses": [{"name": "Hebei Normal University", "source_name": "College of Mathematics and Information Sciences, Hebei Normal University, Shijiazhuang 050024, China", "street_adddress": "Yuhua, Shijiazhuang, Hebei, China, 050024", "lat": "38.00924450", "lng": "114.51817930", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7560388"]}, {"id": "c9efc5823212d700b08da5e482ffd46934ae0f58", "title": "Multi-target tracking with context from interaction feature strings", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c9ef/c5823212d700b08da5e482ffd46934ae0f58.pdf"], "doi": []}, {"id": "488cb054f61378809cdcea5b08b5005d392b07ce", "title": "Tracklet Association with Online Target-Specific Metric Learning", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Wang_Tracklet_Association_with_2014_CVPR_paper.pdf", "https://dr.ntu.edu.sg/bitstream/handle/10220/25754/Tracklet%20association%20with%20online%20target-specific%20metric%20learning.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909557", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.161", "http://doi.org/10.1109/CVPR.2014.161"]}, {"id": "1a52e51428c7a867189a775e274ab04dc35f2bd8", "title": "Fine-grained categorization of fish motion patterns in underwater videos", "addresses": [{"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}, {"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://cbl.uh.edu/pub_files/06130426.pdf", "http://qil.uh.edu/qil/websitecontent/pdf/2015-42.pdf", "http://web.engr.oregonstate.edu/~sinisa/research/publications/ICCV11Workshop.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130426", "http://doi.org/10.1109/ICCVW.2011.6130426"]}, {"id": "4f182750ff26f68d284a416b2fcfc5c53c8e9c24", "title": "Robust online multi-object tracking based on KCF trackers and reassignment", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7905816", "http://doi.org/10.1109/GlobalSIP.2016.7905816"]}, {"id": "e4cf6a559b4002b650dde376005a64b064963b19", "title": "Memory Based Online Learning of Deep Representations from Video Streams", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07368.pdf"], "doi": []}, {"id": "89a7cafc8b001a95373cafc71ca166d9df231385", "title": "Accurate person tracking through changing poses for multi-view action recognition", "addresses": [{"name": "Raytheon BBN Technologies, Cambridge, MA", "source_name": "Raytheon BBN Technologies, Cambridge, MA", "street_adddress": "10 Moulton St, Cambridge, MA 02138, USA", "lat": "42.38980550", "lng": "-71.14759860", "type": "company", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2010", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1924580"]}, {"id": "38b5a83f7941fea5fd82466f8ce1ce4ed7749f59", "title": "Improving multi-target tracking via social grouping", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/grouptracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247899", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247899", "http://doi.org/10.1109/CVPR.2012.6247899"]}, {"id": "5c46e40aa1313e444ddb74cf53c5c7ce0d38366d", "title": "Object identification, enhancement and tracking under dynamic background conditions", "addresses": [{"name": "University of Peradeniya", "source_name": "University of Peradeniya", "street_adddress": "Galaha Rd, 20400, Sri Lanka", "lat": "7.25818990", "lng": "80.59878060", "type": "edu", "country": "Sri Lanka"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069583"]}, {"id": "2f988201fb8316772bca1b44cc0e42f774edd714", "title": "Conditional Random Field (CRF)-Boosting: Constructing a Robust Online Hybrid Boosting Multiple Object Tracker Facilitated by CRF Learning", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2f98/8201fb8316772bca1b44cc0e42f774edd714.pdf"], "doi": []}, {"id": "14d5bd23667db4413a7f362565be21d462d3fc93", "title": "An Online Learned Elementary Grouping Model for Multi-target Tracking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~zqin001/cvpr2014.pdf", "http://www.cs.ucr.edu/~xchen010/papers/CVPR2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909558", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.162", "http://doi.org/10.1109/CVPR.2014.162"]}, {"id": "ce049cdb0582ffd46d2b8725c30ce73e48e796ad", "title": "Tracking individuals in surveillance video of a high-density crowd", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ce04/9cdb0582ffd46d2b8725c30ce73e48e796ad.pdf"], "doi": []}, {"id": "9840b1c84dc8f47979d74be23e2276a12d24164c", "title": "Advances in Visual Computing", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "Desert Research Institute, Reno, USA", "source_name": "Desert Research Institute, Reno, USA", "street_adddress": "2215 Raggio Pkwy, Reno, NV 89512, USA", "lat": "39.57202790", "lng": "-119.80071190", "type": "company", "country": "United States"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}, {"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}, {"name": "Lawrence Berkeley National Laboratory", "source_name": "Lawrence Berkeley National Laboratory", "street_adddress": "1 Cyclotron Rd, Berkeley, CA 94720, USA", "lat": "37.87592770", "lng": "-122.25002740", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "NASA Ames Research Center, Moffett Field, USA", "source_name": "NASA Ames Research Center, Moffett Field, USA", "street_adddress": "Moffett Blvd, Mountain View, CA 94043, USA", "lat": "37.40896040", "lng": "-122.06449830", "type": "gov", "country": "United States"}, {"name": "NVIDIA, Leesburg, USA", "source_name": "NVIDIA, Leesburg, USA", "street_adddress": "Leesburg, VA, USA", "lat": "39.11566150", "lng": "-77.56360150", "type": "company", "country": "United States"}, {"name": "NextGen Interactions, Raleigh, NC", "source_name": "NextGen Interactions, Raleigh, USA", "street_adddress": "Raleigh, NC, USA", "lat": "35.77958970", "lng": "-78.63817870", "type": "company", "country": "United States"}, {"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}, {"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-14249-4"]}, {"id": "7ef33dd6bc689eb17d7696e2de2d36de73507e52", "title": "Towards real-time and low-latency video object tracking by linking tracklets of incomplete detections", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Siqura B.V., Gouda, The Netherlands", "source_name": "Siqura B.V., Gouda, The Netherlands", "street_adddress": "Meridiaan 32, 2801 DA Gouda, Netherlands", "lat": "52.01690360", "lng": "4.68639910", "type": "company", "country": "Netherlands"}], "year": "2013", "pdf": ["http://vca.ele.tue.nl/publications/data/Vijverberg2013a.pdf", "https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636656.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636656", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636656", "http://doi.org/10.1109/AVSS.2013.6636656"]}, {"id": "d82a39da1e524f6ac8b5622002bccb974bc9b69e", "title": "Multihuman Tracking Based on a Spatial\u2013Temporal Appearance Match", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6587854", "http://doi.org/10.1109/TCSVT.2013.2280073"]}, {"id": "17b81e9282da0ba5624ef62f4537bd211a3f5acf", "title": "Linear time offline tracking and lower envelope algorithms", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ftp.cs.duke.edu/~tomasi/papers/gu/guIccv11.pdf", "http://www.cs.duke.edu/~steve/papers/offline.pdf", "http://www.cs.duke.edu/~steve/papers/poster_offline.pdf", "https://users.cs.duke.edu/~tomasi/papers/gu/guIccv11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126451", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126451", "http://doi.org/10.1109/ICCV.2011.6126451"]}, {"id": "50b22fa36b05f175101faa1eeaaf79eacfd9863b", "title": "Multiway histogram intersection for multi-target tracking", "addresses": [{"name": "Air Force Research Lab, USA", "source_name": "Air Force Research Lab, USA", "street_adddress": "26 Electronics Parkway, Rome, NY 13441, USA", "lat": "43.22135160", "lng": "-75.40855770", "type": "mil", "country": "United States"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Intelligent Fusion Technology, Inc, Germantown, MD, USA", "source_name": "Intelligent Fusion Technology, Inc, Germantown, MD, USA", "street_adddress": "20271 Goldenrod Ln, Germantown, MD 20876, USA", "lat": "39.18666240", "lng": "-77.25049360", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7266792", "http://ieeexplore.ieee.org/document/7266792/"]}, {"id": "1260950b06b68b2be42ba54112f5856044e25652", "title": "Tracking pedestrians with bacterial foraging optimization swarms", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2011/Tracking%20Pedestrians%20with%20Bacterial11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949658", "http://doi.org/10.1109/CEC.2011.5949658"]}, {"id": "ef9f61f1a00351a9c38cb0e9ade622a55ff2a148", "title": "Adaptive kernel-based object tracking with robust appereance model using particle filter", "addresses": [{"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6620105"]}, {"id": "4c989676b701495221433b4c174ee6d04051348a", "title": "Interactive Framework for Insect Tracking with Active Learning", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://graphics.uni-konstanz.de/publikationen/Shen2014InteractiveFrameworkInsect/Shen2014InteractiveFrameworkInsect.pdf", "http://www.lfb.rwth-aachen.de/bibtexupload/pdf/SHE14a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977184", "http://doi.org/10.1109/ICPR.2014.471"]}, {"id": "20a2890c92b7ad628aedd25db3384276f0fdaf90", "title": "A Combined Voxel and Particle Filter-Based Approach for Fast Obstacle Detection and Tracking in Automotive Applications", "addresses": [{"name": "University of La Laguna", "source_name": "Departamento de Ingenier\u00eda Inform\u00e1tica, University of La Laguna, Santa Cruz de Tenerife, Spain", "street_adddress": "Calle Padre Herrera, s/n, 38200 San Crist\u00f3bal de La Laguna, Santa Cruz de Tenerife, Spain", "lat": "28.48109410", "lng": "-16.31584430", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725942", "http://doi.org/10.1109/TITS.2016.2616718"]}, {"id": "43461e78874aff6b33b8231daf6068ec7ff15098", "title": "Automated tracing of myelinated axons and detection of the nodes of Ranvier in serial images of peripheral nerves.", "addresses": [{"name": "University of Heidelberg", "source_name": "Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany", "street_adddress": "Berliner Str. 43, 69120 Heidelberg, Germany", "lat": "49.41875910", "lng": "8.67554310", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/kreshuk_et_al-2015-journal_of_the_royal_microscopical_society.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26191646", "http://doi.org/10.1111/jmi.12266"]}, {"id": "7227c1d8f53279041822266c7a6d0ac128e96d05", "title": "Multi-view People Tracking via Hierarchical Trajectory Composition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Xu_Multi-View_People_Tracking_CVPR_2016_paper.pdf", "http://web.cs.ucla.edu/~yuanluxu/publications/mvot_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Xu_Multi-View_People_Tracking_CVPR_2016_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2016/CVPR2016_multi-camera_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780830", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.461", "http://doi.org/10.1109/CVPR.2016.461"]}, {"id": "828b73e8a4d539eeae82601b5f5a4392818c6430", "title": "Long-Term Tracking by Decision Making", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/828b/73e8a4d539eeae82601b5f5a4392818c6430.pdf"], "doi": []}, {"id": "8338a6a0c1918562d821fa00f13eb30a42aa5b07", "title": "Robust tracking of fish schools using CNN for head identification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-4045-3"]}, {"id": "b4288f34528fbda2d2781454aadccae0d578d59a", "title": "Bayesian 3D Tracking from Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://kobus.ca/research/publications/13/Brau-ICCV-13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Brau_Bayesian_3D_Tracking_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751530", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.418", "http://doi.org/10.1109/ICCV.2013.418"]}, {"id": "81b337f2006cd6c8d5fd148a56cab3e5a662d40d", "title": "Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/81b3/37f2006cd6c8d5fd148a56cab3e5a662d40d.pdf"], "doi": []}, {"id": "750465b63c19e8b33743f8f446413382f0239c97", "title": "Multi-target Tracking and Segmentation via Discriminative Appearance Model", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://www.vis.uky.edu/3dimpvt/assets/papers/17th%20pm/multi-target%20tracking%20and%20segmentation%20via%20discriminative%20appearance%20model.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5955348", "http://doi.ieeecomputersociety.org/10.1109/3DIMPVT.2011.19", "http://doi.org/10.1109/3DIMPVT.2011.19"]}, {"id": "0ebb98011a941ad8800ab06b374dd3e41d17aaea", "title": "Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://mediatum.ub.tum.de/doc/1189673/973900.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d650.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Hofmann_Hypergraphs_for_Joint_2013_CVPR_paper.pdf", "http://www.mmk.ei.tum.de/publ//pdf/13/13hof3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619312", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.468", "http://doi.org/10.1109/CVPR.2013.468"]}, {"id": "6aef7b35776ed2b86b60af096319b9f4fc7f37b8", "title": "Detection-assisted Object Tracking by Mobile Cameras", "addresses": [{"name": "University of Nebraska - Lincoln", "source_name": "University of Nebraska - Lincoln", "street_adddress": "Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA", "lat": "40.81747230", "lng": "-96.70444680", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6aef/7b35776ed2b86b60af096319b9f4fc7f37b8.pdf"], "doi": []}, {"id": "34339f1edc9fb0ac90f363ddbaf39f853495a137", "title": "Capture, analysis and synthesis of photorealistic crowds", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/3433/9f1edc9fb0ac90f363ddbaf39f853495a137.pdf"], "doi": []}, {"id": "27785e060b3aca6f3f6e09497bc32eb58b4cd6bf", "title": "Tracking Pedestrians Using Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://www.cs.drexel.edu/~kon/publication/LKratz_TPAMI11_preprint.pdf", "https://www.cs.drexel.edu/~lak24/publications/TPAMI11_track_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989832", "http://doi.org/10.1109/TPAMI.2011.173", "https://www.ncbi.nlm.nih.gov/pubmed/21844618", "https://www.wikidata.org/entity/Q50674397"]}, {"id": "aac241c0327ceec5fded6646cc5b93e150ca8b06", "title": "Crisis management using multiple camera surveillance systems", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/aac2/41c0327ceec5fded6646cc5b93e150ca8b06.pdf"], "doi": []}, {"id": "13453bbe7b669e0a6ea82cf0f13494e08f00414f", "title": "Multi-object Tracking Using Compressive Sensing Features in Markov Decision Process", "addresses": [{"name": "Le2i FRE2005, CNRS, Arts et M\u00e9tiers, Univ. Bourgogne Franche-Comt\u00e9, UTBM, Belfort, France", "source_name": "Le2i FRE2005, CNRS, Arts et M\u00e9tiers, Univ. Bourgogne Franche-Comt\u00e9, UTBM, Belfort, France", "street_adddress": "Arts et M\u00e9tiers, 75003 Paris, France", "lat": "48.86666460", "lng": "2.35727030", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70353-4_43"]}, {"id": "bc12715a1ddf1a540dab06bf3ac4f3a32a26b135", "title": "Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02781.pdf"], "doi": []}, {"id": "ceef3cce226d2f5977ff4366c5fed0e366a11d84", "title": "Integrating statistical and cognitive model for multi-object tracking in realistic scenarios", "addresses": [{"name": "Otto-von-Guericke-University Magdeburg", "source_name": "Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany", "street_adddress": "Universit\u00e4tspl. 2, 39106 Magdeburg, Germany", "lat": "52.14020530", "lng": "11.64419910", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6148867"]}, {"id": "41b541ff747817dade4653fe6ffcdc50e7b3135b", "title": "A Stochastic Graph Evolution Framework for Robust Multi-target Tracking", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/41b5/41ff747817dade4653fe6ffcdc50e7b3135b.pdf"], "doi": []}, {"id": "5d09fefbcee2410eb448dc75f5957bed8587624b", "title": "How does person identity recognition help multi-person tracking?", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://iris.usc.edu/Outlines/papers/2011/kuo-nevatia-cvpr11.pdf", "http://iris.usc.edu/people/chenghak/download/Kuo_Nevatia_CVPR2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995384", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995384", "http://doi.org/10.1109/CVPR.2011.5995384"]}, {"id": "247a55385a11c070a9bdfce55ad4da6b8bb8d3c6", "title": "Towards Longer Long-Range Motion Trajectories", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8d37/db7aa7e038c1a8bfbf56a90e0676494e70b7.pdf"], "doi": []}, {"id": "6cd51f1699ceb4f433c88de70bbf46b27f527d4a", "title": "A novel solution for multi-camera object tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025472", "http://doi.org/10.1109/ICIP.2014.7025472"]}, {"id": "8c618c038c60a385d220193f87b8b0759aab0fd7", "title": "A Hierarchical Association Framework for Multi-Object Tracking in Airborne Videos", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Vrije Universiteit Brussel", "source_name": "Vrije Universiteit Brussel", "street_adddress": "Vrije Universiteit Brussel, 170, Quai de l'Industrie - Nijverheidskaai, Anderlecht, Brussel-Hoofdstad - Bruxelles-Capitale, R\u00e9gion de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, 1070, Belgi\u00eb / Belgique / Belgien", "lat": "50.84110070", "lng": "4.32377555", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61b3/ae98486724227f57d6473f4cf1b45110b760.pdf"], "doi": []}, {"id": "7c4864065f4e107cb5be49a8dba8cf7d94b8340f", "title": "Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b846.pdf", "http://www.cse.psu.edu/~asad/cvpr_2013.pdf", "http://www.cse.psu.edu/~rtc12/Papers/cvpr2013ButtCollins.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Butt_Multi-target_Tracking_by_2013_CVPR_paper.pdf", "https://wiki.epfl.ch/edicpublic/documents/Candidacy%20exam/03Mul.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619085", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.241", "http://doi.org/10.1109/CVPR.2013.241"]}, {"id": "def340ffd4bc0bc57b33a447d99a3c2f64e1a572", "title": "Multiple neutrophils tracking in vitro array using high-order temporal information", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8512342", "http://doi.org/10.1109/EMBC.2018.8512342", "https://www.ncbi.nlm.nih.gov/pubmed/30440249"]}, {"id": "bf63599a05692ba4c18476f696edf98bc28a4f3d", "title": "Fully Convolutional Neural Networks for Crowd Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.4464.pdf"], "doi": []}, {"id": "82b9a637e55a9faef8f68d00296684c6cf29630a", "title": "Segment-wise online learning based on greedy algorithm for real-time multi-target tracking", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://slsp.kaist.ac.kr/paperdata/Segment-wise_Online_Learning.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350924", "http://doi.org/10.1109/ICIP.2015.7350924"]}, {"id": "ac0fd99c800160043c9d4eb38f369c81f6ae0097", "title": "Automated safety control by video cameras", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "Netherlands Defence Academy", "source_name": "Delft University of Technology and Netherlands Defence Academy", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "mil", "country": "Netherlands"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2383320"]}, {"id": "283d226e346ac3e7685dd9a4ba8ae55ee4f2fe43", "title": "Bayesian Data Association for Temporal Scene Understanding", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/283d/226e346ac3e7685dd9a4ba8ae55ee4f2fe43.pdf"], "doi": []}, {"id": "e225e1b77d87f8a6ee8e7ce3c93994233ba74dcb", "title": "Survey on Contemporary Remote Surveillance Systems for Public Safety", "addresses": [{"name": "VTT Technical Research Centre of Finland, Oulu, Finland", "source_name": "VTT Technical Research Centre of Finland, Oulu, Finland", "street_adddress": "Kaitov\u00e4yl\u00e4 1, 90570 Oulu, Finland", "lat": "65.05667640", "lng": "25.45737150", "type": "company", "country": "Finland"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5422679", "http://doi.org/10.1109/TSMCC.2010.2042446"]}, {"id": "6161ed8a0aa7d5b8791534b093e02e6eca6b1524", "title": "A cost function approach for multi-human tracking", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116556", "http://doi.org/10.1109/ICIP.2011.6116556"]}, {"id": "1e7ca1f8393c1a39e60329fce8560be92ac8c96b", "title": "Learning Spatio-Temporal Information for Multi-Object Tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885605", "http://doi.org/10.1109/ACCESS.2017.2686482"]}, {"id": "5984c4a65c8fbd02be6054c30d929e76b9b9110a", "title": "Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01168.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Kroeger-BMTT@WACV-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046816", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2015.6", "http://doi.org/10.1109/WACVW.2015.6"]}, {"id": "0ff1da972f03085a2bbe87b88940da6201e1aaf9", "title": "Pedestrian detection and tracking using deformable part models and Kalman filtering", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2012", "pdf": ["http://www.davidpublishing.com/davidpublishing/Upfile/11/13/2013/2013111306640390.pdf", "http://www.researchgate.net/profile/Shubham_Mittal5/publication/260244021_Pedestrian_Detection_and_Tracking_Using_Deformable_Part_Models_and_Kalman_Filtering/links/09e41511c32ef1f4fd000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6407106", "http://doi.org/10.1109/ISOCC.2012.6407106"]}, {"id": "e12d5019baca91c3662aef317d406ae884f9c742", "title": "Post-Processing of Multi-Target Trajectories for Traffic Safety Analysis", "addresses": [{"name": "University of Goettingen", "source_name": "Institute of Computer Science University of Goettingen, Data Fusion Group, Germany", "street_adddress": "Goldschmidtstra\u00dfe 7, 37077 G\u00f6ttingen, Germany", "lat": "51.55594460", "lng": "9.94799660", "type": "edu", "country": "Germany"}, {"name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "source_name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "street_adddress": "Rutherfordstra\u00dfe 2, 12489 Berlin, Germany", "lat": "52.42820940", "lng": "13.52918370", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455280", "http://doi.org/10.23919/ICIF.2018.8455280"]}, {"id": "59e9934720baf3c5df3a0e1e988202856e1f83ce", "title": "UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04136.pdf"], "doi": []}, {"id": "b1bbe8b1afb97d590269bae95c34c87a8aa388cb", "title": "Multi-target tracking by continuous energy minimization", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://research.milanton.de/files/cvpr2011/cvpr2011-poster.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/anton11cvpr.pdf", "http://www.milanton.de/files/cvpr2011/cvpr2011-anton.pdf", "http://www.milanton.de/files/cvpr2011/cvpr2011-poster.pdf", "http://www.researchgate.net/profile/Anton_Milan/publication/221364514_Multi-target_tracking_by_continuous_energy_minimization/links/0912f50b342afc3c47000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995311", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995311", "http://doi.org/10.1109/CVPR.2011.5995311"]}, {"id": "b506aa23949b6d1f0c868ad03aaaeb5e5f7f6b57", "title": "Modeling Social and Temporal Context for Video Analysis", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/zqin-phd.pdf"], "doi": ["https://www.base-search.net/Record/3b04a8f520744937ae3394bccbac1d98399bc9af219cd06cb618e7be7340943d"]}, {"id": "3b1fcfd2fdb89b3534e506beda391305f10daf5a", "title": "Perimeter-intrusion event classification for on-line detection using multiple instance learning solving temporal ambiguities", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Siqura B.V., Gouda, The Netherlands", "source_name": "Siqura B.V., Gouda, The Netherlands", "street_adddress": "Meridiaan 32, 2801 DA Gouda, Netherlands", "lat": "52.01690360", "lng": "4.68639910", "type": "company", "country": "Netherlands"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025487", "http://doi.org/10.1109/ICIP.2014.7025487"]}, {"id": "e6a5c128a6697063b2560702f792b97c65db99e2", "title": "Signature-driven multi-target tracking", "addresses": [{"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5711928", "http://ieeexplore.ieee.org/document/5711928/"]}, {"id": "2bcf2bd59219d89f335cbc8d1dd4f431076b4c4c", "title": "Recent advances and trends in visual tracking: A review", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://lshao.staff.shef.ac.uk/pub/Tracking_NeuCom2011.pdf", "http://www.nlpr.ia.ac.cn/2012papers/gjkw/gk26.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2011.07.024"]}]}
\ No newline at end of file +{"id": "2258e01865367018ed6f4262c880df85b94959f8", "paper": {"key": "mot", "name": "MOT", "title": "Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics", "year": "2008"}, "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "citations": [{"id": "ed432ecd59021a96d8995269a34678c4c2774507", "title": "End-to-end Learning of Multi-sensor 3D Tracking by Detection", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11534.pdf"], "doi": []}, {"id": "2701bd6850dc1b811ef7697cc1cd19405b99f990", "title": "Privacy Preserving Multi-target Tracking", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/35b0/36b8cdb05cb8f5a348296469555894d41771.pdf"], "doi": []}, {"id": "e9336cd4c63139c481c2ed9624b04f5b9a477d80", "title": "Dynamic objects detection and tracking for a laser scanner and camera system", "addresses": [{"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324442", "http://doi.org/10.1109/ROBIO.2017.8324442"]}, {"id": "e27677a88e40d65cc28e4c8ecb35388467ec3cf8", "title": "Collaborative Tracking for Multiple Objects in the Presence of Inter-Occlusions", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047768"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "fd9b86fb36a0b48e4eca0d73f8c3c683fdaf6231", "title": "Super-High-Purity Seed Sorter Using Low-Latency Image-Recognition Based on Deep Learning", "addresses": [{"name": "Pohang University of Science and Technology", "source_name": "Pohang University of Science and Technology", "street_adddress": "\ud3ec\uc2a4\ud14d, 77, \uccad\uc554\ub85c, \ud6a8\uace1\ub3d9, \ub0a8\uad6c, \ud3ec\ud56d\uc2dc, \uacbd\ubd81, 37673, \ub300\ud55c\ubbfc\uad6d", "lat": "36.01773095", "lng": "129.32107509", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8391727"]}, {"id": "5f2a3fe58974a4e60dde5cbee46a64718ac5c179", "title": "Joint Headlight Pairing and Vehicle Tracking by Weighted Set Packing in Nighttime Traffic Videos", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.dabi.temple.edu/~hbling/publication/Joint_pair-tracking-final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8057590", "http://doi.org/10.1109/TITS.2017.2745683"]}, {"id": "8db60e5196657c4f6188ffee3d2a48d188014f6d", "title": "Realtime multi-aircraft tracking in aerial scene with deep orientation network", "addresses": [{"name": "Military Technical College, Cairo, Egypt", "source_name": "Military Technical College, Cairo, Egypt", "street_adddress": "Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.08042180", "lng": "31.29625750", "type": "mil", "country": "Egypt"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0780-1"]}, {"id": "d5aa657e0e34dac4fcff484496b0e17d5ae0f52e", "title": "Globality\u2013Locality-Based Consistent Discriminant Feature Ensemble for Multicamera Tracking", "addresses": [{"name": "INRIA Sophia Antipolis M\u00e9diterran\u00e9e, Sophia Antipolis, France", "source_name": "INRIA Sophia Antipolis M\u00e9diterran\u00e9e, Sophia Antipolis, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583719", "http://doi.org/10.1109/TCSVT.2016.2615538"]}, {"id": "fcceea054cb59f1409dda181198ed4070ed762c9", "title": "Multiple face tracking method in the wild using color histogram features", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8388318", "http://doi.ieeecomputersociety.org/10.1109/ISSPIT.2017.8388318", "http://doi.org/10.1109/ISSPIT.2017.8388318"]}, {"id": "4820e34baf57e7b3d8d70df915c1710e6e93d631", "title": "A real-time multi-class multi-object tracker using YOLOv2", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Poongsan Defense R&D Institute", "source_name": "Poongsan Defense R&D Institute", "street_adddress": "266 Techno 2-ro, Gwanpyeong-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.41841040", "lng": "127.41058600", "type": "mil", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8120665", "http://doi.org/10.1109/ICSIPA.2017.8120665"]}, {"id": "d5f1e21f71874874fd4122899a83aeae58367c5e", "title": "Robots delivering services to moving people: Individual vs. group patrolling strategies", "addresses": [{"name": "CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France", "source_name": "CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France", "street_adddress": "B\u00e2timent Hubert Curien, Domaine Scientifique de la Doua, 43 Boulevard du 11 Novembre 1918, 69100 Villeurbanne, France", "lat": "45.78385330", "lng": "4.86901190", "type": "edu", "country": "France"}, {"name": "INSA de Lyon - Universit\u00e9 de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France", "source_name": "INSA de Lyon - Universit\u00e9 de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France", "street_adddress": "1st floor, 6 Avenue des Arts, 69621 Villeurbanne, France", "lat": "45.78379620", "lng": "4.87268940", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428216", "http://doi.org/10.1109/ARSO.2015.7428216"]}, {"id": "8f3786e2064a103472ec227a03759bb5056aaffc", "title": "Multiple object tracking based on modified algorithm of GMMCP tracker", "addresses": [{"name": "National University of Defense", "source_name": "College of Machatronics Engineering, National University of Defense, Chang Sha, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888214"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "241d2c517dbc0e22d7b8698e06ace67de5f26fdf", "title": "Online, Real-Time Tracking Using a Category-to-Individual Detector", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/47563/1/ECCV2014_HALL.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890361.pdf", "http://www.vision.caltech.edu/~dhall/projects/CIT/Data/ECCV2014_HALL.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10590-1_24"]}, {"id": "2bfd2add86071064bcf3795dbb57bdb1643ce2c4", "title": "3D Person Tracking In World Coordinates and Attribute Estimation with PDR", "addresses": [{"name": "KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan", "source_name": "KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan", "street_adddress": "2 Chome-1-15 Ohara, Fujimino, Saitama Prefecture 356-0003, Japan", "lat": "35.87922290", "lng": "139.51765570", "type": "company", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806301"]}, {"id": "e604e8a2a639df10704e3f97fc93332589b8c160", "title": "Tracking of multiple planar projection boards for interactive mixed-reality applications", "addresses": [{"name": "Foundation for Research and Technology Hellas, Greece", "source_name": "Foundation for Research and Technology - Hellas (FORTH), Institute of Computer Science, Heraklion, Greece", "street_adddress": "Heraklion, Greece", "lat": "35.33873520", "lng": "25.14421260", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5313-6"]}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "11a6af9b32a93c4053dc12f70afac64a4138b2d1", "title": "Multi-hypothesis motion planning for visual object tracking", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2011", "pdf": ["http://www.cis.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning-poster.pdf", "http://www.cis.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning.pdf", "http://www.seas.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning-poster.pdf", "http://www.seas.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning-talk.pdf", "http://www.seas.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126296", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126296", "http://doi.org/10.1109/ICCV.2011.6126296", "http://repository.upenn.edu/cgi/viewcontent.cgi?article=1567&context=cis_papers"]}, {"id": "7c9f884137a22c3bb5cefcd7dfc55e3a83979771", "title": "Person tracking-by-detection with efficient selection of part-detectors", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["https://cvhci.anthropomatik.kit.edu/download/publications/Schumann2013.pdf", "https://cvhci.anthropomatik.kit.edu/~baeuml/downloads/Schumann2013.pdf", "https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636614.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636614", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636614", "http://doi.org/10.1109/AVSS.2013.6636614"]}, {"id": "e281a0f632f5dee3697578d8ddf69da92c9410ab", "title": "GbLN-PSO and Model-Based Particle Filter Approach for Tracking Human Movements in Large View Cases", "addresses": [{"name": "Universiti Malaysia Pahang, Kuantan, Malaysia", "source_name": "Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia", "street_adddress": "UMP FSKKP, Lebuhraya Tun Razak, Kampung Melayu Gambang, 26300 Gambang, Pahang, Malaysia", "lat": "3.72092440", "lng": "103.12496790", "type": "edu", "country": "Malaysia"}, {"name": "Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia", "source_name": "Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia", "street_adddress": "Lebuhraya Tun Razak, Pahang, 26300 Kuantan, Malaysia", "lat": "3.72114300", "lng": "103.12451610", "type": "edu", "country": "Malaysia"}, {"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7108014", "http://doi.org/10.1109/TCSVT.2015.2433172"]}, {"id": "220f6ef6f4bf4729871822e08080142359012e10", "title": "IMPLEMENTATION OF AUTOMATIC MULTIPLE PERSON TRACKING SYSTEM WITH OPEN CV ON BEAGLE BOARD", "addresses": [{"name": "Anna University", "source_name": "Anna University", "street_adddress": "Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India", "lat": "13.01058380", "lng": "80.23537360", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/220f/6ef6f4bf4729871822e08080142359012e10.pdf"], "doi": []}, {"id": "f5adb841e30eb635b91e95c03575f3b8767c9ed5", "title": "Learning Optimal Parameters For Multi-target Tracking", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f5ad/b841e30eb635b91e95c03575f3b8767c9ed5.pdf"], "doi": []}, {"id": "a6c40d0fb4c0420d1d974f9fbfae83da514ebfbe", "title": "Individual and group tracking with the evaluation of social interactions", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a6c4/0d0fb4c0420d1d974f9fbfae83da514ebfbe.pdf"], "doi": []}, {"id": "812e06a4cee26629e198a0a6d991616933ab14d8", "title": "Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09646.pdf"], "doi": []}, {"id": "9d6c04aa6eb0c3d7dce7e5717a16b56f86ffea48", "title": "Visual multi-object tracking via bi-level association strategy within Air-Traffic-Control surveillance videos", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486370"]}, {"id": "59778de271938df6de938deac17fd614f4640ac5", "title": "Cleaning up after a face tracker: False positive removal", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": ["http://www.cs.toronto.edu/~makarand/papers/ICIP2014.pdf", "http://www.cs.toronto.edu/~makarand/papers/posters/ICIP2014.pdf", "https://cvhci.anthropomatik.kit.edu/~mtapaswi/papers/ICIP2014.pdf", "https://cvhci.anthropomatik.kit.edu/~mtapaswi/papers/posters/ICIP2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025050", "http://doi.org/10.1109/ICIP.2014.7025050"]}, {"id": "95e999c08a9cec339a7e53aa645d32279f9a550e", "title": "Detection and Tracking of General Movable Objects in Large Three-Dimensional Maps", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8542753"]}, {"id": "2da0f99ae90ea3e6ccbd3f43e52dbf5aa1553363", "title": "To Track or To Detect? An Ensemble Framework for Optimal Selection", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2da0/f99ae90ea3e6ccbd3f43e52dbf5aa1553363.pdf"], "doi": []}, {"id": "46a93d3bb2a2abea38e432a9a125d225d729f0e4", "title": "A graph-based MAP solution for multi-person tracking using multi-camera systems", "addresses": [{"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://herakles.inf-cv.uni-jena.de/biborb/bibs/cv/papers/Jiang14:AGM.pdf", "http://www.scitepress.org/Papers/2014/46901/46901.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295103", "http://doi.org/10.5220/0004690103430350"]}, {"id": "b40856b30023d469810aacfb48e1c502804e8b7b", "title": "Toward identifying behavioral risk markers for mental health disorders: an assistive system for monitoring children\u2019s movements in a preschool classroom", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0926-y"]}, {"id": "5ffaa04d15fd159c420cc10fddf15ae39a6db865", "title": "Semi-Online Multiple Object Tracking Using Graphical Tracklet Association", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8474304", "http://doi.org/10.1109/LSP.2018.2872403"]}, {"id": "fd68662e0fe3412d47ca07d33246212d4ecfe590", "title": "Efficient track linking methods for track graphs using network-flow and set-cover techniques", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/CVPR2011.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuKunzBetke-CVPR2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995515", "http://doi.org/10.1109/CVPR.2011.5995515"]}, {"id": "f4cf8e1ec82d186303fa8c9e22ed0ff68b55496d", "title": "Multiple people tracking from 2D depth data by deterministic spatiotemporal data association", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": ["http://www.ais.uni-bonn.de/~koosy/publication/koo2013imft.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6628423", "http://doi.org/10.1109/ROMAN.2013.6628423"]}, {"id": "27b630b8d189cc9d6315cdb031573184e7c875b3", "title": "Scene-Adaptive Hierarchical Data Association for Multiple Objects Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778746", "http://doi.org/10.1109/LSP.2014.2313853"]}, {"id": "8628cb21f0ba3c270d731646b350a059204d26a4", "title": "Wide-area Multi-camera Multi-object Tracking with Dynamic Task Decomposition", "addresses": [{"name": "Fondazione Bruno Kessler, Trento, Italy", "source_name": "Fondazione Bruno Kessler, Trento, Italy", "street_adddress": "Via Santa Croce, 77, 38122 Trento TN, Italy", "lat": "46.06273420", "lng": "11.12441070", "type": "edu", "country": "Italy"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659033"]}, {"id": "056d5d942084428e97c374bb188efc386791e36d", "title": "Temporally Robust Global Motion Compensation by Keypoint-based Congealing", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.03968.pdf"], "doi": []}, {"id": "d9bda208addf00a55df23821f6d4abdb85e73599", "title": "Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d9bd/a208addf00a55df23821f6d4abdb85e73599.pdf"], "doi": []}, {"id": "444c99362e81925c1e710eb901e8f3b4659e6a42", "title": "Automated Non-Invasive Measurement of Sperm Motility and Morphology Parameters", "addresses": [{"name": "CReATe Fertility Centre, Toronto, Canada", "source_name": "CReATe Fertility Centre, Toronto, Canada", "street_adddress": "790 Bay St #1100, Toronto, ON M5G 1N8, Canada", "lat": "43.66047100", "lng": "-79.38618970", "type": "company", "country": "Canada"}, {"name": "Mount Sinai Hospital, Toronto, Canada", "source_name": "Mount Sinai Hospital, Toronto, Canada", "street_adddress": "600 University Ave, Toronto, ON M5G 1X5, Canada", "lat": "43.65746340", "lng": "-79.39036930", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461252", "http://doi.org/10.1109/ICRA.2018.8461252"]}, {"id": "361164861d8e4676079219f6d099358a31fc4025", "title": "Multiple Hypothesis Tracking Revisited", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf", "http://web.engr.oregonstate.edu/~lif/MHT_ICCV15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410890", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.533", "http://doi.org/10.1109/ICCV.2015.533"]}, {"id": "2112edee4a60602e9e5dc5e4f9e352f983f0c8c1", "title": "Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration", "addresses": [{"name": "CSIRO, Australia", "source_name": "NICTA, PO Box 6020, St Lucia, QLD 4067, Australia", "street_adddress": "Research Way, Clayton VIC 3168, Australia", "lat": "-37.90627370", "lng": "145.13194490", "type": "edu", "country": "Australia"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1303.4160.pdf"], "doi": []}, {"id": "f496c321dc171ddd1c0f280436fe40722e1b03ce", "title": "Using dominant sets for data association in multi-camera tracking", "addresses": [{"name": "University Ca' Foscari", "source_name": "University Ca' Foscari, Venezia Mestre, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2789126"]}, {"id": "b467f07202aacb8c5f7e053a7fd4e72d0da16b22", "title": "Multiple human tracking based on distributed collaborative cameras", "addresses": [{"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3163-7"]}, {"id": "62d719b40d3c8db3d33f06a5fdc34858c4d498fe", "title": "A comparative view on exemplar \u2018tracking-by-detection\u2019 approaches", "addresses": [{"name": "CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301774", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301774", "http://doi.org/10.1109/AVSS.2015.7301774", "https://hal.archives-ouvertes.fr/hal-01202882/document"]}, {"id": "8e74244e220a1c9e89417caa1ad22f649884d311", "title": "ArtTrack: Articulated Multi-Person Tracking in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01465.pdf"], "doi": []}, {"id": "047fef806e6afb3430bfc6d8a6ab09b48afb9822", "title": "Inference of Complex Trajectories by Means of a Multibehavior and Multiobject Tracking Algorithm", "addresses": [{"name": "Image Processing Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "Image Processing Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6415260", "http://doi.org/10.1109/TCSVT.2013.2241355"]}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "0480b71244b59ed13cfe844c8bac8883a0c40573", "title": "Efficient Second Order Multi-Target Tracking with Exclusion Constraints", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0ef3/b7099e81ecdab031d65c428d11bc6ca4a23c.pdf"], "doi": []}, {"id": "c9baea734a14e4302829769ac39fe8c48fbae5a1", "title": "Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02073.pdf"], "doi": []}, {"id": "f6f12e0fbfce067d02445abde76be0522e4db329", "title": "Online Multiple targets Detection and Tracking from Mobile robot in Cluttered indoor Environments with Depth Camera", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f6f1/2e0fbfce067d02445abde76be0522e4db329.pdf"], "doi": []}, {"id": "42b58427ed3265ad3c46b3e378ab09c26e91117c", "title": "Hierarchical data association and depth-invariant appearance model for indoor multiple objects tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://robotics.szpku.edu.cn/c/publication/paper/ICIP2013-wangcan1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738543", "http://doi.org/10.1109/ICIP.2013.6738543"]}, {"id": "3c3477903b5138fe5e5e007556981387dd391f77", "title": "Online adaptive multiple pedestrian tracking in monocular surveillance video", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2319-3"]}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "cc7e66f2ba9ac0c639c80c65534ce6031997acd7", "title": "Facial Descriptors for Identity-Preserving Multiple People Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/cc7e/66f2ba9ac0c639c80c65534ce6031997acd7.pdf"], "doi": []}, {"id": "b3182d09761014b4efa2787b6a66700b52c979a6", "title": "Real-time scheme for 3-dimensional localizing and tracking of people in multiple camera settings", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8204448"]}, {"id": "2338aef7041339ea4b894441e92267e4a28e4bef", "title": "Tracking Objects with Higher Order Interactions using Delayed Column Generation", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.02413.pdf"], "doi": []}, {"id": "4a64b020c72db15a729939a2c041ef4f5830f0f7", "title": "Challenges of Ground Truth Evaluation of Multi-target Tracking", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W21/papers/Milan_Challenges_of_Ground_2013_CVPR_paper.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/anton13cvprw.pdf", "http://www.milanton.de/files/cvprws2013/cvprws2013-anton.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595955", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.111", "http://doi.org/10.1109/CVPRW.2013.111"]}, {"id": "77a53d4141a8081657ce08b13dc3328ac4a4e689", "title": "You'll never walk alone: Modeling social behavior for multi-target tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2009", "pdf": ["http://europa.informatik.uni-freiburg.de/files/iccv09stefano.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_ICCV_2009/contents/pdf/iccv2009_034.pdf", "http://vision.cse.psu.edu/courses/Tracking/vlpr12/PellegriniNeverWalkAlone.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459260", "http://doi.org/10.1109/ICCV.2009.5459260"]}, {"id": "b64c2baf82c51a7538136c32f5193bdfef946297", "title": "UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b64c/2baf82c51a7538136c32f5193bdfef946297.pdf"], "doi": []}, {"id": "01018a509f32601e1bbf7f0159aad1a513e23f92", "title": "Computers in the Human Interaction Loop", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/0101/8a509f32601e1bbf7f0159aad1a513e23f92.pdf"], "doi": []}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "d04631e40b237ae29cb8d2bd187b04033580e63b", "title": "Multi-cue Based Multi-target Tracking with Boosted MHT", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d046/31e40b237ae29cb8d2bd187b04033580e63b.pdf"], "doi": []}, {"id": "1922082de84afb69c966a7628e86012342b475fd", "title": "Fast Online Tracking With Detection Refinement", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103346", "http://doi.org/10.1109/TITS.2017.2750082"]}, {"id": "5348367971754f6b63bd0c595fc3e331eed8950d", "title": "GM-PHD Filter Based Online Multiple Human Tracking Using Deep Discriminative Correlation Matching", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0004299.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461946", "http://doi.org/10.1109/ICASSP.2018.8461946"]}, {"id": "b5c945e04cdf204358e7964290867b38435ef458", "title": "Sliding-Window Optimization on an Ambiguity-Clearness Graph for Multi-object Tracking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08913.pdf"], "doi": []}, {"id": "52f68dd74f2242a45dbbd1b4ec742bc090a2c2b0", "title": "Rank-1 Tensor Approximation for High-Order Association in Multi-target Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01147-z"]}, {"id": "8dcc1e0f0215dd5fcb6d698c35180d40dadc8dac", "title": "VirtualWorlds as Proxy for Multi-object Tracking Analysis", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06457.pdf"], "doi": []}, {"id": "b3b97439c33063c9c45c305b67dd8f6066052096", "title": "Multi-modal identification and tracking of vehicles in partially observed environments", "addresses": [{"name": "Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany", "source_name": "Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany", "street_adddress": "Technische Universit\u00e4t Berlin Fachgebiet Medienwissenschaft Institut f\u00fcr Sprache und Kommunikation, Ernst-Reuter-Platz 7, 10587 Berlin, Germany", "lat": "52.51297900", "lng": "13.32002900", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer Application Center for Wireless Sensor Systems, Coburg, Germany", "source_name": "Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany", "street_adddress": "96450 Coburg, Germany", "lat": "50.25569800", "lng": "10.95508180", "type": "company", "country": "Germany"}, {"name": "Fraunhofer Institut for Open Communication Technologies (FOKUS)", "source_name": "Fraunhofer Institut for Open Communication Technologies (FOKUS), Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany", "street_adddress": "Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany", "lat": "52.52600000", "lng": "13.31448750", "type": "company", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7275470", "http://doi.org/10.1109/IPIN.2014.7275470"]}, {"id": "b0a1f562a55aae189d6a5cb826582b2e7fb06d3c", "title": "Multi-modal Mean-Fields via Cardinality-Based Clamping", "addresses": [{"name": "CVLab, EPFL, Lausanne, Switzerland", "source_name": "CVLab, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07941.pdf"], "doi": []}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "50797bf1a167ba294f640d3ae237cee962427cf0", "title": "Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by Nonnegative Discretization", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d714.pdf", "http://www.cs.cmu.edu/~iyu/files/cvpr13/cvpr13.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yu_Harry_Potters_Marauders_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619320", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.476", "http://doi.org/10.1109/CVPR.2013.476"]}, {"id": "819cc41c4b5370ef9ad6eaced1fe4005aa5fd2e6", "title": "Multitarget data association with higher-order motion models", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://vision.cse.psu.edu/courses/Tracking/vlpr12/CollinsCVPR2012.pdf", "http://www.cse.psu.edu/~rtc12/Papers/CollinsCVPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247870", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247870", "http://doi.org/10.1109/CVPR.2012.6247870"]}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "4d5c179ffdf09255edadb1bb7233e0c23e55b8b4", "title": "Multi-scale behavior learning for multi-object tracking", "addresses": [{"name": "Harbin Institue of Technology, Harbin, China", "source_name": "Haerbin Institue of Technology, Harbin, China", "street_adddress": "92 Xidazhi St, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150006", "lat": "45.74704360", "lng": "126.63343060", "type": "edu", "country": "China"}, {"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298683"]}, {"id": "5fe89653d22d35cf98a6fe6e6793da82a55f5c9f", "title": "Collaborative Deep Reinforcement Learning for Multi-object Tracking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5fe8/9653d22d35cf98a6fe6e6793da82a55f5c9f.pdf"], "doi": []}, {"id": "349f305fff405c0f38b9df2e1648450eb841fcea", "title": "Multi-target Tracking with Motion Context in Tensor Power Iteration", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Shi_Multi-target_Tracking_with_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.450", "http://doi.org/10.1109/CVPR.2014.450"]}, {"id": "4a0707131dab1c64c03bfa0809b050d34fafeeb5", "title": "Cell Lineage Tracing in Lens-Free Microscopy Videos", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a07/07131dab1c64c03bfa0809b050d34fafeeb5.pdf"], "doi": []}, {"id": "f08b25b904aac24b84e35ee7acbe208a7775f27b", "title": "Changes in Usage of an Indoor Public Space: Analysis of One Year of Person Tracking", "addresses": [{"name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "source_name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "street_adddress": "Kyoto, Kyoto Prefecture, Japan", "lat": "35.01163630", "lng": "135.76802940", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.irc.atr.jp/~drazen/pdf/THMS2015_Brscic.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981971", "http://doi.org/10.1109/THMS.2014.2374172", "https://www.wikidata.org/entity/Q57598239"]}, {"id": "2c39e50b2000fd73f648b25d70321815e410162d", "title": "A Multiple Targets Appearance Tracker Based on Object Interaction Models", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5993525", "http://doi.org/10.1109/TCSVT.2011.2165591"]}, {"id": "f043824a1d6ae1eb2ae1d5c1845c0a050efdf345", "title": "Visual Multiple Target Tracking From a Descending Aerial Platform", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8431915"]}, {"id": "7d6a8c2a857a4eb3d9f6c3c470906f2182c9473a", "title": "Hierarchical Grid-based Multi-People Tracking-by-Detection With Global Optimization", "addresses": [{"name": "German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany", "source_name": "German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany", "street_adddress": "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "lat": "48.08342380", "lng": "11.27563320", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7140789", "http://doi.org/10.1109/TIP.2015.2451013", "https://www.ncbi.nlm.nih.gov/pubmed/26151936", "https://www.wikidata.org/entity/Q40761222"]}, {"id": "c887a86430f0444f71ea4ce6da807455d0435dc7", "title": "A robust NF-GMMCP algorithm for multi-pedestrian tracking", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8284894"]}, {"id": "3507544e326253c47e4896919cccafe97a0c2661", "title": "Confidence Intervals for Tracking Performance Scores", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451433"]}, {"id": "65bccb76384bc95c8fe53f2d2a8e3f048fd880bf", "title": "Bi-label Propagation for Generic Multiple Object Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://mi.eng.cam.ac.uk/~bdrs2/papers/luo_cvpr14.pdf", "http://mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2014-CVPR-Luo.pdf", "http://mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2014-CVPR-Luo.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Luo_Bi-label_Propagation_for_2014_CVPR_paper.pdf", "https://labicvl.github.io/docs/pubs/Wenhan_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909564", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.168", "http://doi.org/10.1109/CVPR.2014.168"]}, {"id": "4a0cec395dfe1ab634f53cf295409281c40ed5c0", "title": "Multi-target tracking with hierarchical data association using main-parts and spatial-temporal feature models", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6667-0"]}, {"id": "c3717efdfd3d19018153d52c21b8b582c9629fbf", "title": "Performance evaluation of multi-target tracking without knowing ground truth", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7527887", "http://ieeexplore.ieee.org/document/7527887/"]}, {"id": "797230c284a24ae7b3c9781f8188a59345b90838", "title": "Improving robot reactivity to passers-by with a faster people detector", "addresses": [{"name": "LAAS-CNRS and Universite Paul Sabatier, Toulouse, France", "source_name": "LAAS-CNRS and Universite Paul Sabatier, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}, {"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7451814", "http://dl.acm.org/citation.cfm?id=2906935", "https://hal.archives-ouvertes.fr/hal-01296641/document"]}, {"id": "6c10226a1f68997d85aa0970521a9ff9507e0caf", "title": "Medical Image Computing and Computer-Assisted Intervention \u2212 MICCAI 2017", "addresses": [{"name": "DKFZ, Heidelberg, Germany", "source_name": "DKFZ, Heidelberg, Germany", "street_adddress": "Im Neuenheimer Feld 280, 69120 Heidelberg, Germany", "lat": "49.41441400", "lng": "8.67296070", "type": "edu", "country": "Germany"}, {"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}, {"name": "Ulm University of Applied Sciences", "source_name": "Ulm University of Applied Sciences, Ulm, Germany", "street_adddress": "Prittwitzstra\u00dfe 10, 89075 Ulm, Germany", "lat": "48.40900000", "lng": "9.99742600", "type": "edu", "country": "Germany"}, {"name": "Universit\u00e9 Laval, Qu\u00e9bec, Canada", "source_name": "Universit\u00e9 Laval, Qu\u00e9bec, Canada", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}, {"name": "Universit\u00e9 de Rennes 1, Rennes, France", "source_name": "Universit\u00e9 de Rennes 1, Rennes, France", "street_adddress": "Rue du Thabor, 35000 Rennes, France", "lat": "48.11592990", "lng": "-1.67296000", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Sherbrooke, Sherbrooke, Canada", "source_name": "Universit\u00e9 de Sherbrooke, Sherbrooke, Canada", "street_adddress": "Administration, 2500 Boulevard de l'Universit\u00e9, Sherbrooke, QC J1K 2R1, Canada", "lat": "45.37681380", "lng": "-71.92560030", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-66185-8"]}, {"id": "1ae3dd081b93c46cda4d72100d8b1d59eb585157", "title": "Online Motion Agreement Tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fea1/0f39b0a77035fb549fc580fd951384b79f9b.pdf"], "doi": []}, {"id": "28bdfdc5fcbb6ecd1d9bf02356e5a80ffe1882b3", "title": "An Improved Particle Filter Approach for Real-time Pedestrian Tracking in Surveillance Video", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://download.atlantis-press.com/article/6695.pdf"], "doi": ["https://doi.org/10.2991/icista.2013.35"]}, {"id": "b498990a90a2b60802f9532fdf88f23caed7e864", "title": "Multiple person tracking using omnidirectional cameras", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6830458", "http://doi.org/10.1109/SIU.2014.6830458"]}, {"id": "2b88c583cd62130f1e2c6921db9703a0c5746a90", "title": "Multicamera tracking of multiple humans based on colored visual hulls", "addresses": [{"name": "University of Crete", "source_name": "University of Crete", "street_adddress": "House of Europe, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a1\u03ad\u03b8\u03c5\u03bc\u03bd\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03bf\u03c5, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, \u039a\u03c1\u03ae\u03c4\u03b7, 930100, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "35.37130240", "lng": "24.47544080", "type": "edu", "country": "Greece"}], "year": "2013", "pdf": ["http://users.ics.forth.gr/~argyros/mypapers/2013_09_etfa_coloredhulls.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6647982", "http://doi.org/10.1109/ETFA.2013.6647982"]}, {"id": "f7dbb15ed72d1282445178dab3368d7676763aa6", "title": "On multi-modal people tracking from mobile platforms in very crowded and dynamic environments", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://www.vision.rwth-aachen.de/media/papers/linderICRA16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487766", "http://doi.org/10.1109/ICRA.2016.7487766"]}, {"id": "5bf6e7599c38ade8ef3b97a3411a7f84418b6062", "title": "Pedestrian detection with LeNet-like convolutional networks", "addresses": [{"name": "Universidad Rey Juan Carlos, M\u00f3stoles, Spain", "source_name": "Universidad Rey Juan Carlos, M\u00f3stoles, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-017-3197-z"]}, {"id": "46bdfee362a4de978d24d53fd704d64d82273718", "title": "Crowd Tracking with Dynamic Evolution of Group Structures", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}, {"name": "Shenzhen, China", "source_name": "Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940139.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_10"]}, {"id": "6bda2c2ab87ce2fda3b2f7e87643835f921551a0", "title": "Camera Self-Calibration Based on Nonlinear Optimization and Applications in Surveillance Systems", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364242", "http://doi.org/10.1109/TCSVT.2015.2511812"]}, {"id": "9bf0db2da5fcf245d353350f69c8eed8a63eaaeb", "title": "Robust Online Multiobject Tracking With Data Association and Track Management", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6807759", "http://doi.org/10.1109/TIP.2014.2320821", "https://www.ncbi.nlm.nih.gov/pubmed/24801247", "https://www.wikidata.org/entity/Q30815170"]}, {"id": "0f07dcf92588945eb0d70893cdf0fe4a48552763", "title": "Detection- and Trajectory-Level Exclusion in Multiple Object Tracking", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d682.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Milan_Detection-_and_Trajectory-Level_2013_CVPR_paper.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/anton13cvpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619316", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.472", "http://doi.org/10.1109/CVPR.2013.472"]}, {"id": "46f698dacdb5f76d6b4dae67cb1ae4da2b789398", "title": "Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05990.pdf"], "doi": []}, {"id": "3c7d2ac29c867600d3bda5b356db76e3a5014a71", "title": "Decentralized particle filter for joint individual-group tracking", "addresses": [{"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": ["http://www.lorisbazzani.info/papers/proceedings/Bazzanietal_CVPR12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247888", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247888", "http://doi.org/10.1109/CVPR.2012.6247888"]}, {"id": "29acb73f1aec78996d77eede7a7b72e892be9a84", "title": "Multitarget Tracking Using Hough Forest Random Field", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295597", "http://doi.org/10.1109/TCSVT.2015.2489438"]}, {"id": "f2b627f11a36c359de9aab6c44796e1d30d30b64", "title": "Multiple Pedestrian Tracking From Monocular Videos in an Interacting Multiple Model Framework", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141418", "http://doi.org/10.1109/TIP.2017.2779856", "https://www.ncbi.nlm.nih.gov/pubmed/29990195"]}, {"id": "cf6b966a2d45fd44ef8f86cf0ba805cdc4d4ad57", "title": "Online multi-person tracking assist by high-performance detection", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11227-017-2202-8"]}, {"id": "0c8769bf0501fdd7fbc94ca81601de4a40679295", "title": "On Duality Of Multiple Target Tracking and Segmentation", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04542.pdf"], "doi": []}, {"id": "67c25e73b89166563cf5b70ffc043bbff23a321c", "title": "Handling of False Stationary Detections in Background Subtraction in Video Preprocessing", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/67c2/5e73b89166563cf5b70ffc043bbff23a321c.pdf"], "doi": []}, {"id": "3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc", "title": "Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory", "addresses": [{"name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "source_name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "street_adddress": "Zoumaliang Rd, Banan Qu, Chongqing Shi, China", "lat": "29.42475500", "lng": "106.53683700", "type": "edu", "country": "China"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451174", "http://doi.org/10.1109/ICIP.2018.8451174"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "2781de1aa6f4c9621ad3af38fc58b894696f1791", "title": "FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1407.6251.pdf"], "doi": []}, {"id": "28b59fcd3d642f8d92a7c868c0076b00bd7f55cf", "title": "Multi-target tracking in team-sports videos via multi-level context-conditioned latent behaviour models", "addresses": [{"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/28b5/9fcd3d642f8d92a7c868c0076b00bd7f55cf.pdf"], "doi": []}, {"id": "5e024e0fd57ab03e4fc767ffa5fa4c71328d5ad7", "title": "Kalman Filter Based Multiple Human Tracking Method in Auto-aligned Multi-Camera Environment", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Korea University of Science and Technology", "source_name": "Division of Nano & Information Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Korea", "street_adddress": "217 Gajeong-ro, Sinseong-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.38513950", "lng": "127.36834130", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441884", "http://doi.org/10.1109/URAI.2018.8441884"]}, {"id": "21a82c06f71a99ce40f5ffb72fe2908abac8433c", "title": "Track-oriented evaluation of multi-target tracking without knowing ground truth", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8009730", "http://doi.org/10.23919/ICIF.2017.8009730"]}, {"id": "813dc79f5f439050d68c923a410940d0d139ceb2", "title": "Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model", "addresses": [{"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-24965-5_63"]}, {"id": "54c5fad54492650f6eccb90bafcab8c2b779ee2f", "title": "Real-time text tracking in natural scenes", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/54c5/fad54492650f6eccb90bafcab8c2b779ee2f.pdf"], "doi": []}, {"id": "1849b903e19b3abfeff7b0c86cc875f6b42b0818", "title": "Leveraging weak segmentation for multi-object tracking system", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122579", "http://doi.org/10.1109/SMC.2017.8122579"]}, {"id": "d7c094f5be41a13a579d8922ec4d50c70be1c276", "title": "Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive Likelihoods", "addresses": [{"name": "Marquette University", "source_name": "Marquette University", "street_adddress": "Marquette University, West Wisconsin Avenue, University Hill, Milwaukee, Milwaukee County, Wisconsin, 53226, USA", "lat": "43.03889625", "lng": "-87.93155450", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7c0/94f5be41a13a579d8922ec4d50c70be1c276.pdf"], "doi": []}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "7e6f7ce8ec6f62c4bf68f84207973914fc8e79b9", "title": "Exploring bounding box context for multi-object tracker fusion", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.vision.rwth-aachen.de/media/papers/breuersWACV16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477564", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477564", "http://doi.org/10.1109/WACV.2016.7477564"]}, {"id": "d914c53cdf26acc64259d381fbd45c4e150633ee", "title": "Pedestrian Tracking in the Compressed Domain Using Thermal Images", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d914/c53cdf26acc64259d381fbd45c4e150633ee.pdf"], "doi": []}, {"id": "4b8ecd100d6640fd7659be2715c86b7a9103240b", "title": "Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4b8e/cd100d6640fd7659be2715c86b7a9103240b.pdf"], "doi": []}, {"id": "e7c2670a0785d0fa1fd768f5c119f0e43a376b97", "title": "Automated Non-Invasive Measurement of Single Sperm\u2019s Motility and Morphology", "addresses": [{"name": "CReATe Fertility Centre, Toronto, Canada", "source_name": "CReATe Fertility Centre, Toronto, Canada", "street_adddress": "790 Bay St #1100, Toronto, ON M5G 1N8, Canada", "lat": "43.66047100", "lng": "-79.38618970", "type": "company", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Mount Sinai Hospital, Toronto, Canada", "source_name": "Mount Sinai Hospital, Toronto, Canada", "street_adddress": "600 University Ave, Toronto, ON M5G 1X5, Canada", "lat": "43.65746340", "lng": "-79.39036930", "type": "edu", "country": "Canada"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8365808", "http://doi.org/10.1109/TMI.2018.2840827", "https://www.ncbi.nlm.nih.gov/pubmed/29993571"]}, {"id": "9b477dde9aabadba1ad2f2f180e755f31af904aa", "title": "Parameter estimation and contextual adaptation for a multi-object tracking CRF model", "addresses": [{"name": "Idiap Research Institute - CH-1920, Martigny, Switzerland", "source_name": "Idiap Research Institute - CH-1920, Martigny, Switzerland", "street_adddress": "Rue Marconi 19, 1920 Martigny, Switzerland", "lat": "46.10937600", "lng": "7.08444300", "type": "edu", "country": "Switzerland"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne - CH-1015, Lausanne, Switzerland", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne - CH-1015, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2013", "pdf": ["http://publications.idiap.ch/downloads/papers/2012/Heili_PETS_2013.pdf", "http://www.idiap.ch/~odobez/publications/HeiliOdobez-IEEE-PETS-2013.pdf", "https://infoscience.epfl.ch/record/192448/files/Heili_PETS_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6523790"]}, {"id": "ef92368c21c1310a6134de0cf5befac4443e3e85", "title": "Event-driven track management method for robust multi-vehicle tracking", "addresses": [{"name": "Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea", "source_name": "Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea", "street_adddress": "223 Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, South Korea", "lat": "35.70270780", "lng": "128.45462720", "type": "edu", "country": "South Korea"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5940458", "http://doi.org/10.1109/IVS.2011.5940458"]}, {"id": "328ffd128c86fe0b2d78fc59f3b83cf9c267ade9", "title": "Socially Constrained Tracking in Crowded Environments Using Shoulder Pose Estimates", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461030", "http://doi.org/10.1109/ICRA.2018.8461030"]}, {"id": "823db29d4c2a79e309ad2b394a4aaa83d9e15284", "title": "Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/823d/b29d4c2a79e309ad2b394a4aaa83d9e15284.pdf"], "doi": []}, {"id": "1b6202f28a66dc73f51eab72b2e0e73520f06c48", "title": "OpenPTrack: Open source multi-camera calibration and people tracking for RGB-D camera networks", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://www.dei.unipd.it/~munaro/media/Munaro_PCL-RAS2015.pdf"], "doi": ["https://doi.org/10.1016/j.robot.2015.10.004"]}, {"id": "7da261ca2cff495bd7744504797c4c3d5b8b9b4c", "title": "Particle PHD Filter Based Multiple Human Tracking Using Online Group-Structured Dictionary Learning", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}, {"name": "State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China", "source_name": "State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China", "street_adddress": "5 Zhongguancun S St, Haidian Qu, Beijing Shi, China", "lat": "39.96038900", "lng": "116.31856700", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8318585", "http://doi.org/10.1109/ACCESS.2018.2816805"]}, {"id": "0824768412cf2c3e9f550025eee06bb34e5f3afd", "title": "Latent Data Association: Bayesian Model Selection for Multi-target Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Segal_Latent_Data_Association_2013_ICCV_paper.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/segal_etal_iccv2013/segal_etal_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751472", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.361", "http://doi.org/10.1109/ICCV.2013.361"]}, {"id": "2103bb6772bf01e43a8a4e8e34f16baac7d7c331", "title": "Information theoretic sensor management for multi-target tracking with a single pan-tilt-zoom camera", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/WACV_2014_Cristani.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/01/06836009.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836009", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836009", "http://doi.org/10.1109/WACV.2014.6836009"]}, {"id": "b88b57d52f6f16986381fa0ba9d5a1387886c157", "title": "Audio-visual tracking by density approximation in a sequential Bayesian filtering framework", "addresses": [{"name": "INRIA Grenoble Rh\u00f4ne-Alpes, France", "source_name": "INRIA Grenoble Rh\u00f4ne-Alpes, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7895564", "http://doi.org/10.1109/HSCMA.2017.7895564"]}, {"id": "d15662886a615521d4205fa1ededb3d794b9f944", "title": "Multi-modal people tracking on a mobile companion robot", "addresses": [{"name": "Ilmenau University of Technology", "source_name": "Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany", "street_adddress": "Ilmenau, Germany", "lat": "50.68435020", "lng": "10.92547280", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Volkhardt-ECMR-2013b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6698856", "http://doi.org/10.1109/ECMR.2013.6698856"]}, {"id": "e95cdc2997760c90aaaac6561c84e68d5f94aa36", "title": "Alextrac: Affinity learning by exploring temporal reinforcement within association chains", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://alex.bewley.ai/papers/BewleyICRA2016_accepted.pdf", "http://www-personal.acfr.usyd.edu.au/f.ramos/Fabio_Ramos_Homepage/Publications_files/ICRA16_1388_FI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487371", "http://doi.org/10.1109/ICRA.2016.7487371"]}, {"id": "c79eb3b4d8324eb824493e53bfcb4d3980398523", "title": "Tracking people within groups with RGB-D data", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": ["http://robotics.dei.unipd.it/images/Papers/Conferences/munaro_iros12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385772", "http://doi.org/10.1109/IROS.2012.6385772"]}, {"id": "a9e0e667537c9059b3050a64d22b8fe86787d913", "title": "Detecting and Tracking Vehicles , Pedestrians , and Bicyclists at Intersections with a Stationary Lidar", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a9e0/e667537c9059b3050a64d22b8fe86787d913.pdf"], "doi": []}, {"id": "5d9822e581ea793bc70998ee8b40c6ae37e5a994", "title": "A classification and clustering method for tracking multiple objects", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301626"]}, {"id": "1a10782ce899b0f884aaa8ef4659976adb5d0699", "title": "Clustering of tracklets for on-line multi-target tracking in networked camera systems", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "VDG Security B.V., Zoetermeer, The Netherlands", "source_name": "VDG Security B.V., Zoetermeer, The Netherlands", "street_adddress": "Platinastraat 65, 2718 SZ Zoetermeer, Netherlands", "lat": "52.03906240", "lng": "4.50348140", "type": "company", "country": "Netherlands"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5945951", "http://doi.org/10.1109/CISDA.2011.5945951"]}, {"id": "6fbf3df212eddaca8d3600065b341ad5174ae5c1", "title": "Dynamic Behavior Analysis via Structured Rank Minimization", "addresses": [{"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/georgakis_ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0985-3"]}, {"id": "3aee2ec5a43d599742af6a87427095b9cdf06a8b", "title": "Hyper-Optimization tools comparison for parameter tuning applications", "addresses": [{"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}, {"name": "LAAS-CNRS, Universit\u00e9 de Toulouse, CNRS, UPS, Toulouse, France", "source_name": "LAAS-CNRS, Université de Toulouse, CNRS, UPS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078499"]}, {"id": "39df8bc28c6a5ba494bf2d31f68bba06acf934a5", "title": "Moving object tracking for aerial video coding using linear motion prediction and block matching", "addresses": [{"name": "Institut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "Institut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38864370", "lng": "9.71259330", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://www.tnt.uni-hannover.de/papers/data/1185/Meuel_et_al_Moving_Object_Tracking_for_Aerial_Video_Coding_using_Linear_Motion_Prediction_and_Block_Matching_PCS2016.pdf", "https://www.tnt.uni-hannover.de/papers/data/1185/Meuel_et_al_Moving_Object_Tracking_for_Aerial_Video_Coding_using_Linear_Motion_Prediction_and_Block_Matching_PCS2016_POSTER.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7906333", "http://doi.org/10.1109/PCS.2016.7906333"]}, {"id": "58c17688fc08eb69ff3b20803a227693289d63c5", "title": "Online multiple objects tracking with detection reliability prior constraint", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5530-z"]}, {"id": "4774b9853968b12156287bd42bb425d79f99e313", "title": "Online Multi-object Tracking Based on Hierarchical Association Framework", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w20/papers/Ju_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789651", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.161", "http://doi.org/10.1109/CVPRW.2016.161"]}, {"id": "a9624e3c04272fe06fcc440a04b373533439c111", "title": "Pattern Recognition and Computer Vision", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-03341-5"]}, {"id": "572791e2f290dc0ecb05e56bfa714c4b7af79b08", "title": "Extended MHT algorithm for multiple object tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2382358"]}, {"id": "817502a2b3d7db07f89158ce2996a9e4bc433a8b", "title": "RefineNet: Refining Object Detectors for Autonomous Driving", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/rakesh_refinenet_2016.pdf", "https://eshed1.github.io/papers/refineNet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944662", "http://doi.org/10.1109/TIV.2017.2695896"]}, {"id": "9a5473662819063cb60c1b29e6544b9314b9b29f", "title": "Predicting Social Interactions for Visual Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f109/9ae1a4c710a3f678a525a4c955245019a9c3.pdf"], "doi": []}, {"id": "7372c1e9cb87dad88bc160536263e461bb7ab04c", "title": "Trajectory energy minimization for cell growth tracking and genealogy analysis", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7372/c1e9cb87dad88bc160536263e461bb7ab04c.pdf"], "doi": []}, {"id": "267bd60e442d87c44eaae3290610138e63d663ab", "title": "PoseTrack: Joint Multi-person Pose Estimation and Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07727.pdf"], "doi": []}, {"id": "1ae8afd68c2bec15ab5d02299c739151cd668ca3", "title": "Human behaviour recognition in data-scarce domains", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pure.qub.ac.uk/portal/files/56945093/Baxt1_s2.0_S0031320315000795_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/8744350/1_s2.0_S0031320315000795_main.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2015.02.019"]}, {"id": "2524d9d45471fa8908b17f04060b68e7cfeff841", "title": "Wizard of Oz revisited: Researching on a tour guide robot while being faced with the public", "addresses": [{"name": "University of Applied Sciences Dresden", "source_name": "University of Applied Sciences Dresden, Artificial Intelligence Lab, Germany", "street_adddress": "01069 Dresden, Germany", "lat": "51.02927340", "lng": "13.72899640", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6343833", "http://doi.org/10.1109/ROMAN.2012.6343833"]}, {"id": "8c8a61fc2c0e426aa64e50756b777475f3beb49b", "title": "Robust Marker-Based Tracking for Measuring Crowd Dynamics", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8c8a/61fc2c0e426aa64e50756b777475f3beb49b.pdf"], "doi": []}, {"id": "4643a480f115d5ae96259f204b6712c1e769a699", "title": "Real-Time People Tracking in a Camera Network", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507659"]}, {"id": "8b928332d60e995bce78ff543a2d7a37f1103ac6", "title": "Person Tracking in Large Public Spaces Using 3-D Range Sensors", "addresses": [{"name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "source_name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "street_adddress": "Kyoto, Kyoto Prefecture, Japan", "lat": "35.01163630", "lng": "135.76802940", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://www.irc.atr.jp/~drazen/pdf/THMS_Brscic_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636027", "http://doi.org/10.1109/THMS.2013.2283945", "https://www.wikidata.org/entity/Q57598258"]}, {"id": "89f680a78d118f14753056496dd26059ca08a6c7", "title": "A Modified MDP Algorithm for Multi-Pedestrians Tracking", "addresses": [{"name": "National University of Defense Technology University", "source_name": "National University of Defense Technology University, College of Intelligent Science, Changsha, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8469500"]}, {"id": "e8cda2c754670850ec722799640c6cb42dfb8199", "title": "4D Generic Video Object Proposals", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09260.pdf"], "doi": []}, {"id": "61ed130bd12c5ff8170a9bcbb4e108657ec5942a", "title": "Automatic analysis of deep-water remotely operated vehicle footage for estimation of Norway lobster abundance", "addresses": [{"name": "Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia", "source_name": "Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}, {"name": "Centro de Ci\u00eancias do Mar (CCMAR), Portugal", "source_name": "Centro de Ci\u00eancias do Mar (CCMAR) - Campus de Gambelas, Faro, Portugal", "street_adddress": "Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal", "lat": "37.04326800", "lng": "-7.97327500", "type": "edu", "country": "Portugal"}, {"name": "Instituto Portugu\u00eas do Mar e da Atmosfera (IPMA), Divis\u00e3o de Modela\u00e7\u00e3o e Gest\u00e3o de Recursos da Pesca, Lisbon, Portugal", "source_name": "Instituto Portugu\u00eas do Mar e da Atmosfera (IPMA), Divis\u00e3o de Modela\u00e7\u00e3o e Gest\u00e3o de Recursos da Pesca, Lisbon, Portugal", "street_adddress": "R. da Escola Polit\u00e9cnica 27, 1250-099 Lisboa, Portugal", "lat": "38.71718240", "lng": "-9.14978190", "type": "edu", "country": "Portugal"}, {"name": "Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Lisbon, Portugal", "source_name": "Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Lisbon, Portugal", "street_adddress": "Instituto Superior T\u00e9cnico, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal", "lat": "38.73684640", "lng": "-9.13934570", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1631/FITEE.1700720"]}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "5d58d4164493924906231a28153e50342fdf1198", "title": "Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1402.2016.pdf"], "doi": []}, {"id": "b5db3a52a8d22d3a6cc3ea66f7babef7b8503f53", "title": "Visual fish tracking: Combining a two-stage graph approach with CNN-features", "addresses": [{"name": "Friedrich Schiller University Jena", "source_name": "Computer Vision Group, Friedrich Schiller University Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}, {"name": "Fulda University of Applied Sciences", "source_name": "Fulda University of Applied Sciences, Fulda, Germany", "street_adddress": "Leipziger Str. 123, 36037 Fulda, Germany", "lat": "50.56538480", "lng": "9.68825800", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8084691", "http://doi.org/10.1109/OCEANSE.2017.8084691"]}, {"id": "fba5b5a8675d5f9e57243fd7a1320193db321150", "title": "Using The Voice Spectrum For Improved Tracking Of People In A Joint Audio-Video Scheme", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6638333", "http://doi.org/10.1109/ICASSP.2013.6638333"]}, {"id": "fbdc18d9e6bfcbac30b8bb330c71b6f2be48395e", "title": "Online multi-object tracking with convolutional neural networks", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296360", "http://doi.org/10.1109/ICIP.2017.8296360"]}, {"id": "a045ce22bd4372c3b6a1c5ccde5df88974927fc1", "title": "Structural Constraint Data Association for Online Multi-object Tracking", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}, {"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv18_mot1.pdf"], "doi": ["http://doi.org/10.1007/s11263-018-1087-1"]}, {"id": "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "title": "Multi-omnidirectional cameras for ambient intelligence", "addresses": [{"name": "Bo\u011fazi\u00e7i \u00dcniversitesi, Turkey", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, 34342 Bebek, \u0130stanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204823", "http://doi.org/10.1109/SIU.2012.6204823"]}, {"id": "f8549b73b76078a6c89a8c35040c73fcbc884e20", "title": "Classification of road users detected and tracked with LiDAR at intersections", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f854/9b73b76078a6c89a8c35040c73fcbc884e20.pdf"], "doi": []}, {"id": "df01f6be9573a7864e86d960db7cf3cef3a8199d", "title": "Multi-Agent Reinforcement Learning for Multi-Object Tracking", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df01/f6be9573a7864e86d960db7cf3cef3a8199d.pdf"], "doi": []}, {"id": "fbece7c5584662d1da447b12e9a2be6fe626216e", "title": "Template-based people detection using a single downward-viewing fisheye camera", "addresses": [{"name": "Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC", "source_name": "Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC", "street_adddress": "No. 19\u865f, Zhongxing Road, Yangmei District, Taoyuan City, Taiwan 326", "lat": "24.91884430", "lng": "121.18410930", "type": "edu", "country": "Taiwan"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266570", "http://doi.org/10.1109/ISPACS.2017.8266570"]}, {"id": "d84f9b4dd297075aecec1135a280f92c8ce7f1af", "title": "Automatic tracking of multiple zebrafish larvae with resilience against segmentation errors", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8363776", "http://doi.org/10.1109/ISBI.2018.8363776"]}, {"id": "3d1b0c7e9ef0e31dd635041539e795dc07ebee86", "title": "Tracking people in 3D using a bottom-up top-down detector", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/spinelloICRA11.pdf", "http://www2.informatik.uni-freiburg.de/~luber/icra11/spinelloICRA11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5980085", "http://doi.org/10.1109/ICRA.2011.5980085"]}, {"id": "d8bc2e2537cecbe6e751d4791837251a249cd06d", "title": "Assessing tracking performance in complex scenarios using mean time between failures", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cse.psu.edu/~rtc12/Papers/wacv2016CarrCollins.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477617", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477617", "http://doi.org/10.1109/WACV.2016.7477617"]}, {"id": "38079a7f127ee9279ac99c4e18f87e80777cc895", "title": "Multiobject tracking as maximum weight independent set", "addresses": [{"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://web.engr.oregonstate.edu/~sinisa/research/publications/cvpr11_MWIS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995395", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995395", "http://doi.org/10.1109/CVPR.2011.5995395"]}, {"id": "286f443fa85bc9d892ab54878c0ace0264d0dcff", "title": "Principled Parallel Mean-Field Inference for Discrete Random Fields", "addresses": [{"name": "CVLab, EPFL, Lausanne, Switzerland", "source_name": "CVLab, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06103.pdf"], "doi": []}, {"id": "1442f7813f2a14c14f977b2fff833f5c502db59a", "title": "Tracking Multiple Maneuvering Targets Using Integer Programming and Spline Interpolation", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455837", "http://doi.org/10.23919/ICIF.2018.8455837"]}, {"id": "448284cba619e3d0cdf4c0023db91ec3fdcaa349", "title": "Hierarchical Data Association Framework with Occlusion Handling for Multiple Targets Tracking", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714396", "http://doi.org/10.1109/LSP.2014.2300497"]}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "c5ba4e0a8abadb68b3de135e3da522059a99b2cd", "title": "Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://www.dei.unipd.it/~munaro/media/Zennaro_ICME2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177380", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177380", "http://doi.org/10.1109/ICME.2015.7177380"]}, {"id": "d8fcfb25195b71b85cec72edf160f00f160cbe70", "title": "Global data association for the Probability Hypothesis Density filter using network flows", "addresses": [{"name": "University of Koblenz-Landau", "source_name": "Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany", "street_adddress": "Rhabanusstra\u00dfe 3, 55118 Mainz, Germany", "lat": "50.00335000", "lng": "8.25958700", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://www.uni-koblenz.de/~agas/Documents/Wojke2016GDA.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487180", "http://doi.org/10.1109/ICRA.2016.7487180"]}, {"id": "3a92179c7d9f938dd313ea2620f5b3329f167d56", "title": "First-person multiple object tracking in complex traffic scenes", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025475", "http://doi.org/10.1109/ICIP.2014.7025475"]}, {"id": "18219d85bb14f851fc4714df19cc7f38dff8ddc3", "title": "Adaptation of Convolutional Neural Networks for the 2017 DAVIS Challenge on Video Object Segmentation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1821/9d85bb14f851fc4714df19cc7f38dff8ddc3.pdf"], "doi": []}, {"id": "4eb2f74766378c218e01cca0f23db47df00bd1fc", "title": "Robust and low complexity obstacle detection and tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795717", "http://doi.org/10.1109/ITSC.2016.7795717"]}, {"id": "2a547bf34d185f80a0d476148721b6f05c276256", "title": "Detection , Description and Tracking of Ants in Video Sequences", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2a54/7bf34d185f80a0d476148721b6f05c276256.pdf"], "doi": []}, {"id": "4f7b5130d0356ada11f34bf469b2a9c6a00a5e6b", "title": "Online multi-target tracking using non-linear motion estimation", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": ["http://cheonji.kaist.ac.kr/pdfsrc/ic/2014_SJKim_URAI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7057490", "http://doi.org/10.1109/URAI.2014.7057490"]}, {"id": "072457191c91a50bd16df6d211380c9fcc21a057", "title": "Tracking-by-detection of multiple persons by a resample-move particle filter", "addresses": [{"name": "Goi Eskola Politeknikoa, Mondragon, Spain", "source_name": " Goi Eskola Politeknikoa, Mondragon Goi Unibertsitatea, Mondragon, Spain", "street_adddress": "Goiru Kalea, 2, 20500 Arrasate, Gipuzkoa, Spain", "lat": "43.06313740", "lng": "-2.50667930", "type": "edu", "country": "Spain"}, {"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France", "source_name": "Universit\u00e9 de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France", "street_adddress": "Route de Narbonne, 31330 Toulouse, France", "lat": "43.56196870", "lng": "1.47005370", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://homepages.laas.fr/lerasle/pdf/mva13.pdf"], "doi": ["http://doi.org/10.1007/s00138-013-0534-9"]}, {"id": "d0f709ab39e280467d854064132570c1d5316de5", "title": "Multi-Object Tracking and Identification over Sets", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.07960.pdf"], "doi": []}, {"id": "de92ac27693598254554531d8cadfd4728c423a1", "title": "Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02843.pdf"], "doi": []}, {"id": "de608b8696b151405105abef1de66a2199cf1f3c", "title": "Connected Component Model for Multi-Object Tracking", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471478", "http://doi.org/10.1109/TIP.2016.2570553", "https://www.ncbi.nlm.nih.gov/pubmed/28113425", "https://www.wikidata.org/entity/Q39005094"]}, {"id": "7711330fb88e2522a5779a09c1622b75557f9254", "title": "Real-time detection and tracking of pedestrians in CCTV images using a deep convolutional neural network", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7711/330fb88e2522a5779a09c1622b75557f9254.pdf"], "doi": []}, {"id": "751923405938a9f6b9dff74cf34dd34c7427b30f", "title": "Online visual multi-object tracking based on fuzzy logic", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603315", "http://doi.org/10.1109/FSKD.2016.7603315"]}, {"id": "9883759eb90c2aff373b48d31d3e5700b3bd256a", "title": "Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering.", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9883/759eb90c2aff373b48d31d3e5700b3bd256a.pdf"], "doi": []}, {"id": "11ce6be0fa8972659bd288a5f51c152fe38a1881", "title": "Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence", "addresses": [{"name": "BioMerieu, La Balme-les-Grottes", "source_name": "BioMerieu, La Balme-les-Grottes", "street_adddress": "TE, 3 Route de Port Michaud, 38390 La Balme-les-Grottes, France", "lat": "45.85432970", "lng": "5.33203900", "type": "company", "country": "France"}, {"name": "Gipsa-Lab, Saint-Martin d'H\u00e8res, France", "source_name": "Gipsa-Lab, Saint-Martin d'H\u00e8res, France", "street_adddress": "11 Rue des Math\u00e9matiques, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19344150", "lng": "5.76631150", "type": "edu", "country": "France"}, {"name": "Thales Electron Devices, Moirans, France", "source_name": "TED, Moirans, France", "street_adddress": "460 Rue du Pommarin, 38430 Moirans, France", "lat": "45.31513600", "lng": "5.59701400", "type": "company", "country": "France"}, {"name": "Thales Electron Devices (TED), Moirans, France", "source_name": "Thales Electron Devices (TED), Moirans, France", "street_adddress": "Moirans, France", "lat": "45.32616800", "lng": "5.56472200", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389402", "http://doi.org/10.1109/TMI.2016.2520092", "https://www.ncbi.nlm.nih.gov/pubmed/26812705", "https://www.wikidata.org/entity/Q50726598"]}, {"id": "5fad6815cefa1ea061bf495784899e319724df5a", "title": "Multi-pedestrian Tracking Based on Social Forces", "addresses": [{"name": "Shenyang SIASUN Robot & Automation Co., LTD., China, Shenyang, 110168, China", "source_name": "Shenyang SIASUN Robot & Automation Co., LTD., China, Shenyang, 110168, China", "street_adddress": "Hunnan, Shenyang, Liaoning, China, 110168", "lat": "41.65577260", "lng": "123.49176050", "type": "company", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8535956"]}, {"id": "8fe0a35dc47698b45f3812bb502b0921b349ae56", "title": "Online multi-person tracking via robust collaborative model", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025086", "http://doi.org/10.1109/ICIP.2014.7025086"]}, {"id": "00b543d51bf6d16b4027ded325387518cb7fcfe1", "title": "Tracking Ants Through Occlusions", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}, {"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/00b5/43d51bf6d16b4027ded325387518cb7fcfe1.pdf"], "doi": []}, {"id": "9eb891b89443bdfc8434e4c9e08dda0253fd242c", "title": "Evaluation of Probabilistic Occupancy Map for Player Tracking in Team Sports", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9eb8/91b89443bdfc8434e4c9e08dda0253fd242c.pdf"], "doi": []}, {"id": "94bc017ea8795c774c9dd572ee44673a51dc631f", "title": "Appearance and structural motion context for multi-target tracking in aerial video", "addresses": [{"name": "National University of Defense Technology (NUDT)", "source_name": "National University of Defense Technology (NUDT), Changsha, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7984595"]}, {"id": "5646fb8250f8c900e5f281665089363abcfbac8a", "title": "Hough Forest-based Association Framework with Occlusion Handling for Multi-Target Tracking", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7366745", "http://doi.org/10.1109/LSP.2015.2512878"]}, {"id": "fa8bb8ba04432543a65343bd66b4267ccb8d4d89", "title": "Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects", "addresses": [{"name": "University of Bremen", "source_name": "University of Bremen", "street_adddress": "Bibliothekstra\u00dfe 1, 28359 Bremen, Germany", "lat": "53.10675800", "lng": "8.85204000", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.00840.pdf"], "doi": []}, {"id": "1167136efcb52cf49e89b90949149312bab19cc3", "title": "Multi-camera Pedestrian Tracking using Group Structure", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659023"]}, {"id": "78a77643f8040b3b6630985fe4236a302d73e562", "title": "Strongly connected component multi-object tracking", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7924730"]}, {"id": "4fec93d62355224981ff6323cca962e6989c0b1e", "title": "What makes for good multiple object trackers?", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7868601", "http://doi.org/10.1109/ICDSP.2016.7868601"]}, {"id": "94490145def938ca1f8bb265d10b66924937a367", "title": "Iterative Local Model Selection for tracking and mapping", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9449/0145def938ca1f8bb265d10b66924937a367.pdf"], "doi": []}, {"id": "cdf246d2eb993e80786443a984729b874f958657", "title": "Obstacle avoidance using stereo-based generic obstacle tracking", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8215284", "http://doi.org/10.1109/SBR-LARS-R.2017.8215284"]}, {"id": "2ebcb7d0f013fbc7225dd2305d76ff985b43eeec", "title": "Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking", "addresses": [{"name": "KCIS, IIIT Hyderabad, Robotics Research Center, India", "source_name": "KCIS, IIIT Hyderabad, Robotics Research Center, India", "street_adddress": "17, Old Mumbai Hwy, Vinayak Nagar, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44595810", "lng": "78.34959940", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461018"]}, {"id": "0b7f5d25cd1142b5761194f1ebeeba6780aaabb2", "title": "Estimation of the people position in the world coordinate system for video surveillance", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768816060062"]}, {"id": "a07a894108b5ddc19d18e66e969f47a3b2a6e006", "title": "On-the-Fly Performance Evaluation of Large-Scale Fiber Tracking", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a07a/894108b5ddc19d18e66e969f47a3b2a6e006.pdf"], "doi": []}, {"id": "622d84128caf728a77ecc720de4806592fb96e94", "title": "Detection- Tracking for Efficient Person Analysis: The DetTA Pipeline", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594335"]}, {"id": "5a2578a7acea823d3c8ab30b1658a44cc1f63078", "title": "Online multi-person tracking based on global sparse collaborative representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351235", "http://doi.org/10.1109/ICIP.2015.7351235"]}, {"id": "8566231abd7e5bc71ee0bc0da84b8d76ce07a501", "title": "On The Stability of Video Detection and Tracking", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06467.pdf"], "doi": []}, {"id": "37e0b4055a4915ed0c802eb91ac3a72ceb45aa42", "title": "Simultaneous detection and tracking of pedestrian from panoramic laser scanning data", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-3/295/2016/isprs-annals-III-3-295-2016.pdf"], "doi": ["https://doi.org/10.5194/isprs-annals-III-3-295-2016"]}, {"id": "7af8fa8897c6f1ec1e7f9eadb01f74b48c185588", "title": "Improving Global Multi-target Tracking with Local Updates", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7af8/fa8897c6f1ec1e7f9eadb01f74b48c185588.pdf"], "doi": []}, {"id": "3196d8797d600c98d49ea76ccc5dadd5a96e407a", "title": "Collaboration and spatialization for an efficient multi-person tracking via sparse representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301757"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "5417ec4aa67a2b00e4dc4b86a5ef6ddf0b9cdb3d", "title": "Adaptive visual target detection and tracking using incremental appearance learning", "addresses": [{"name": "Shiraz University", "source_name": "Shiraz University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0634\u06cc\u0631\u0627\u0632, \u0645\u06cc\u062f\u0627\u0646 \u0627\u0631\u0645, \u0645\u062d\u062f\u0648\u062f\u0647 \u0634\u0647\u0631\u062f\u0627\u0631\u06cc \u0645\u0646\u0637\u0642\u0647 \u06cc\u06a9 - \u0634\u0647\u0631\u062f\u0627\u0631\u06cc \u0634\u06cc\u0631\u0627\u0632, \u0634\u06cc\u0631\u0627\u0632, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0634\u06cc\u0631\u0627\u0632, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0634\u06cc\u0631\u0627\u0632, \u0627\u0633\u062a\u0627\u0646 \u0641\u0627\u0631\u0633, 71348-34689, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "29.63854740", "lng": "52.52457060", "type": "edu", "country": "Iran"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350958", "http://doi.org/10.1109/ICIP.2015.7350958"]}, {"id": "1ed39db202e606f25aff93f3e4fe135283a50cc2", "title": "Video text detection and recognition: Dataset and benchmark", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2014/09/VideoTextWACV.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836024", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836024", "http://doi.org/10.1109/WACV.2014.6836024"]}, {"id": "07ea8df90f4bf47d24a42aaec3f9b282582e200e", "title": "Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments : Thermal versus Visible Spectrum Video-Based Systems", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}, {"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/07ea/8df90f4bf47d24a42aaec3f9b282582e200e.pdf"], "doi": []}, {"id": "d80f1af929b507593c06442c6ad93e381b40283d", "title": "Labeled multi-Bernoulli track-before-detect for multi-target tracking in video", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7266714", "http://ieeexplore.ieee.org/document/7266714/"]}, {"id": "9829848932525928e5b06a8505dba2edda22c569", "title": "Object modeling and trajectory estimations for traffic analysis", "addresses": [{"name": "University of Bordeaux", "source_name": "UMR 5800, LaBRI, Talence, France", "street_adddress": "Domaine universitaire, 351, cours de la Lib\u00e9ration, 33405 Talence, France", "lat": "44.80837500", "lng": "-0.59670500", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351296", "http://doi.org/10.1109/ICIP.2015.7351296"]}, {"id": "ed0b765d4a477240a5c221c8b05dcc7e3abefd4f", "title": "Comparison and Analysis of Recursive-RANSAC for Multiple Target Tracking", "addresses": [{"name": "Brigham Young University", "source_name": "Brigham Young University, Provo, USA", "street_adddress": "Provo, UT 84602, USA", "lat": "40.25184350", "lng": "-111.64931560", "type": "edu", "country": "United States"}, {"name": "Raytheon Missile Systems, Tucson, USA", "source_name": "Raytheon Missile Systems, Tucson, USA", "street_adddress": "1151 E Hermans Rd, Tucson, AZ 85756, USA", "lat": "32.10536830", "lng": "-110.95133450", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7812590", "http://doi.org/10.1109/TAES.2017.2650818"]}, {"id": "11a1e99fc65fb8567d7f52dce941231ea949db0a", "title": "Subgraph decomposition for multi-target tracking", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/355/tangCVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_064.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_064_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299138", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299138", "http://doi.org/10.1109/CVPR.2015.7299138"]}, {"id": "0d687fb6e1a54abf022990ace6c8f901be9f85e8", "title": "Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "University of Applied Sciences Aschaffenburg", "source_name": "Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany, Germany", "street_adddress": "W\u00fcrzburger Str. 45, 63743 Aschaffenburg, Germany", "lat": "49.97119610", "lng": "9.16056230", "type": "edu", "country": "Germany"}, {"name": "University of Kassel", "source_name": "University of Kassel, Kassel, Germany", "street_adddress": "M\u00f6nchebergstra\u00dfe 19, 34125 Kassel, Germany", "lat": "51.32281900", "lng": "9.50735310", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569267"]}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "1a660d8576ed749610e0e040076d27973aee44ee", "title": "Tracking by Identification Using Computer Vision and Radio", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1a66/0d8576ed749610e0e040076d27973aee44ee.pdf"], "doi": []}, {"id": "dacf0682d0a58af9b5dcfe15243f30aaa2d94a34", "title": "Joint Individual-Group Modeling for Tracking", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/PAMI14_Cristani.pdf", "https://iris.univr.it/retrieve/handle/11562/932903/26873/Bazzanietal_PAMI14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6891328", "http://doi.org/10.1109/TPAMI.2014.2353641", "https://www.ncbi.nlm.nih.gov/pubmed/26353291", "https://www.wikidata.org/entity/Q40558275"]}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "e7a8549865978b478699647bd259f71c516c4479", "title": "Multiple People Tracking-by-Detection in a Multi-camera Environment", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e7a8/549865978b478699647bd259f71c516c4479.pdf"], "doi": []}, {"id": "0e56ba97ea6eac96c57ad4773af88a22d44f41b6", "title": "Online multiple object tracking with the hierarchically adopted GM-PHD filter using motion and appearance", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7804800"]}, {"id": "88d84fb1aab19f756c9d839e2a473834ae4b68b5", "title": "CNN-detector-based multiple homogeneous objects tracking under stochastic wide-range occlusions", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309072", "http://doi.org/10.1109/GlobalSIP.2017.8309072"]}, {"id": "081f0ff96de80b4a29d9f52e6e058bb9482efc2a", "title": "Probability occupancy maps for occluded depth images", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_066.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_066_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_066_ext.pdf", "http://www.idiap.ch/~fleuret/papers/bagautdinov-et-al-cvpr2015.pdf", "https://infoscience.epfl.ch/record/206218/files/bagautdinov.dpom.2015.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298900", "http://doi.org/10.1109/CVPR.2015.7298900"]}, {"id": "8ae88dc7ba177128f89223f48921e3a74d8bf1ff", "title": "Person re-identification in TV series using robust face recognition and user feedback", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-010-0603-2"]}, {"id": "70b23c6d8c713f5663603343b19ea5873b6696cc", "title": "Machine learning in tracking associations with stereo vision and lidar observations for an autonomous vehicle", "addresses": [{"name": "VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Universit\u00e0 degli Studi di Parma, Italy", "source_name": "VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Università degli Studi di Parma, Italy", "street_adddress": "Parco Area delle Scienze, 49, 43124 Parma PR, Italy", "lat": "44.76640040", "lng": "10.30531800", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535456", "http://doi.org/10.1109/IVS.2016.7535456"]}, {"id": "0afc4ce1ec16ef0a9ebb255004348720e0fe8c64", "title": "Real-Time Lexicon-Free Scene Text Localization and Recognition", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": ["http://cmp.felk.cvut.cz/~neumalu1/Neumann_TPAMI2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313008", "http://doi.org/10.1109/TPAMI.2015.2496234", "https://www.ncbi.nlm.nih.gov/pubmed/26540676", "https://www.wikidata.org/entity/Q50779056"]}, {"id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "title": "Tracking Multiple People Online and in Real Time", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "doi": []}, {"id": "4c6ffe1cc479d86adf5126174900e2f23afb22a9", "title": "Tracking multiple people under global appearance constraints", "addresses": [{"name": "CVLab, EPFL, Lausanne, Switzerland", "source_name": "CVLab, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["https://infoscience.epfl.ch/record/167889/files/Tracking_Multiple_People_under_Global_Appearance_Constraints.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126235", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126235", "http://doi.org/10.1109/ICCV.2011.6126235"]}, {"id": "c858c74d30c02be2d992f82a821b925669bfca13", "title": "Computer Vision \u2013 ECCV 2014", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "source_name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-10605-2", "https://doi.org/10.1007/978-3-319-10605-2"]}, {"id": "a91c74e3bdbc560653e25fdb02d337a8d20186f4", "title": "Multiple Human Tracking in RGB-D Data: A Survey", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.04450.pdf"], "doi": []}, {"id": "0d08ab78ce86e053ff3003aef951a5174d56beb8", "title": "A Thermal Infrared Video Benchmark for Visual Analysis", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/PBVS2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-PBVS-2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuFullerTheriaultBetke-PBVS-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Wu_A_Thermal_Infrared_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.39", "http://doi.org/10.1109/CVPRW.2014.39"]}, {"id": "998b6a419e5ad9ed5b9e83ed43ee9688878505f1", "title": "Robust multi-target tracking in outdoor traffic scenarios via persistence topology based robust motion segmentation", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418308", "http://doi.org/10.1109/GlobalSIP.2015.7418308"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "d0fbebf278b7e4f10a25e583743080a57b2b3f3a", "title": "Online multi-target tracking via depth range segmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China", "source_name": "Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China", "street_adddress": "6 Kexueyuan S Rd, Haidian Qu, China, 100080", "lat": "39.98186800", "lng": "116.32686600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309048", "http://doi.org/10.1109/GlobalSIP.2017.8309048"]}, {"id": "db640eddc51258cf6b11e442745d9a4bd5d6995b", "title": "Simple Baselines for Human Pose Estimation and Tracking", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06208.pdf"], "doi": []}, {"id": "a9721f9680bb21a0849a912ed24eec9ba50def9e", "title": "Benchmarking face tracking", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/a972/1f9680bb21a0849a912ed24eec9ba50def9e.pdf"], "doi": []}, {"id": "6e17c16fda71e8cd7abcf5b52b7f6438a69d9958", "title": "Integrating Social Grouping for Multitarget Tracking Across Cameras in a CRF Model", "addresses": [{"name": "University of California at Riverside", "source_name": "University of California at Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467546", "http://doi.org/10.1109/TCSVT.2016.2565978"]}, {"id": "166e7fd811d104254155c90506f2f7e77947534c", "title": "Hidden Hands: Tracking Hands with an Occlusion Aware Tracker", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/Rangesh_Hidden_Hands_Tracking_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w21/papers/Rangesh_Hidden_Hands_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789645", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.155", "http://doi.org/10.1109/CVPRW.2016.155"]}, {"id": "b6cff4ba590eab964bc49e079ed1a72a49d9e3e3", "title": "Multiple object tracking based on motion segmentation of point trajectories", "addresses": [{"name": "CERTH/ITI, Thessaloniki, Greece", "source_name": "CERTH/ITI, Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}, {"name": "ECE/UPATRAS, Patras, Greece", "source_name": "ECE/UPATRAS, Patras, Greece", "street_adddress": "Panepistimioupoli Patron 265 04, Greece", "lat": "38.28833560", "lng": "21.78864870", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": ["http://www.satisfactory-project.eu/satisfactory/wp-content/uploads/2016/08/AVSS_paper_stavropoulos.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738057", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738057", "http://doi.org/10.1109/AVSS.2016.7738057"]}, {"id": "3803a2cffe6866600e0727cec6b0d8fe66d97728", "title": "A Public Video Dataset for Road Transportation Applications", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0835/775c75f1bbfc3316695c7cba9a1d5ee28a12.pdf"], "doi": []}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "4280c600ef8621b6bed27e729cd23535ddd6b5c7", "title": "Dense Multiperson Tracking with Robust Hierarchical Linear Assignment", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6892983"]}, {"id": "321d1f8d13075275b207dd048e9b655aa8846d57", "title": "Thermal Tracking of Sports Players", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/321d/1f8d13075275b207dd048e9b655aa8846d57.pdf"], "doi": []}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "8e679b8f165b46521c76a766ddfb538fa90d3f94", "title": "Audio Assisted Robust Visual Tracking With Adaptive Particle Filtering", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/809042/1/KilicBWK_TMM_2014_postprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975225", "http://doi.org/10.1109/TMM.2014.2377515"]}, {"id": "eb0cf5727275f89323e2cbb4c0f0515b8ece75f8", "title": "A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera", "addresses": [{"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/eb0c/f5727275f89323e2cbb4c0f0515b8ece75f8.pdf"], "doi": []}, {"id": "4b2bafe419e5b40f667601f112c6f6cf8a7c86e3", "title": "Learning to Track Multiple Targets", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6855348", "http://doi.org/10.1109/TNNLS.2014.2333751", "https://www.ncbi.nlm.nih.gov/pubmed/25051561", "https://www.wikidata.org/entity/Q46145646"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "557890cef6e9285909904fa141ccddddc0da90dd", "title": "Target Identity-aware Network Flow for online multiple target tracking", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/projects/TINF/CVPR15_TINF_Poster.pdf", "http://crcv.ucf.edu/papers/cvpr2015/AfshinDehghan_TINF_CVPR15.pdf", "http://crcv.ucf.edu/people/phd_students/afshin//papers/Afshin_Dehghan_TINF_CVPR15.pdf", "http://crcv.ucf.edu/projects/TINF/CVPR15_TINF_Poster.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_004.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_004_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Dehghan_Target_Identity-Aware_Network_2015_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2015/MOT_SSVM_CVPR15_V7_CamReady.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298718", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298718", "http://doi.org/10.1109/CVPR.2015.7298718"]}, {"id": "29875d51da4063707a5e16a90493c69be6fcc006", "title": "UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Intel, Nizhny Novgorod, Russia", "source_name": "Intel, Nizhny Novgorod, Russia", "street_adddress": "Ulitsa Turgeneva, 30, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603024", "lat": "56.31949820", "lng": "44.04123880", "type": "edu", "country": "Russia"}, {"name": "Iowa State University", "source_name": "Iowa State University", "street_adddress": "Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA", "lat": "42.02791015", "lng": "-93.64464415", "type": "edu", "country": "United States"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "National Electronics and Computer Technology Center, Thailand", "source_name": "National Electronics and Computer Technology Center, Thailand", "street_adddress": "112 \u0e2d\u0e38\u0e17\u0e22\u0e32\u0e19\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c \u0e16\u0e19\u0e19\u0e1e\u0e2b\u0e25\u0e42 \u0e22\u0e18\u0e34\u0e19 Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07778590", "lng": "100.60131310", "type": "edu", "country": "Thailand"}, {"name": "National Research Council, Italy", "source_name": "National Research Council, Italy", "street_adddress": "Research Private, Ottawa, ON K1V, Canada", "lat": "45.32909590", "lng": "-75.66198580", "type": "edu", "country": "Canada"}, {"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "Technische Universit\u00e4t Berlin, Germany", "source_name": "Technische Universit\u00e4t Berlin, Germany", "street_adddress": "Stra\u00dfe des 17. Juni 135, 10623 Berlin, Germany", "lat": "52.51253220", "lng": "13.32694460", "type": "edu", "country": "Germany"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078560", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078560", "http://doi.org/10.1109/AVSS.2017.8078560"]}, {"id": "2972997fad77516bbae27fdafc0bb44f0708e806", "title": "Coupling Reranking and Structured Output SVM Co-Train for Multitarget Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.jdl.ac.cn/doc/2011/20171141245037683_coupling%20reranking%20and%20structured%20output%20svm%20co-train%20for%20multitarget%20tracking-tcsvt2016%20yingkun%20xu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7108030", "http://doi.org/10.1109/TCSVT.2015.2433173"]}, {"id": "5e8677eb21c3a5d24c52bcb93404416f7eeebc31", "title": "Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information : Object Tracking under Occlusion", "addresses": [{"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5e86/77eb21c3a5d24c52bcb93404416f7eeebc31.pdf"], "doi": []}, {"id": "f09bcd575c8bea73dcfb413840fb14d6a4caa4a8", "title": "Robust multi-object tracking using confident detections and safe tracklets", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351078", "http://doi.org/10.1109/ICIP.2015.7351078"]}, {"id": "ffc02195ad8eeafa955680b128b99ebccf4b0a91", "title": "A non-command interface for automatic document provision during meetings", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2559191"]}, {"id": "159afb7fb0740f0b48b812ed5183c2229089044d", "title": "A comparative study on multi-person tracking using overlapping cameras", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://gavrila.net/Publications/icvs13.pdf", "http://workshops.acin.tuwien.ac.at/ICVS//downloads/Orals3_ICVS13_paper_id_35_Dariu_Gavrila.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-39402-7_21"]}, {"id": "39b741be40e093f92519cd15cd2deb6e114d6200", "title": "Joint Probabilistic Data Association Revisited", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Rezatofighi_Joint_Probabilistic_Data_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Rezatofighi_Joint_Probabilistic_Data_ICCV_2015_paper.pdf", "http://www.milanton.de/files/iccv2015/iccv2015-hamid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410706", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.349", "http://doi.org/10.1109/ICCV.2015.349"]}, {"id": "60538302d064da95128f19b06413f0a16f5552d2", "title": "A Robust Online Multi-Face Tracking System", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8534679"]}, {"id": "4dbdf48318339a7ce06317137e7aa664ead783ab", "title": "Multiple object tracking based on sparse generative appearance modeling", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.polymtl.ca/litiv/doc/RiahiBilodeauICIP2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351560", "http://doi.org/10.1109/ICIP.2015.7351560"]}, {"id": "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "title": "Crowd Tracking by Group Structure Evolution", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583654", "http://doi.org/10.1109/TCSVT.2016.2615460"]}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "21ad377aeb6ff099c5a59fa82cec95b0bba177bb", "title": "MCMC particle filter-based vehicle tracking method using multiple hypotheses and appearance model", "addresses": [{"name": "Daegu Gyeongbuk Institute of Science & Technology, Korea", "source_name": "Division of Advanced Industrial Science and Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5 floor, 3 research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Republic of Korea", "street_adddress": "223 Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, South Korea", "lat": "35.70270780", "lng": "128.45462720", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6629618", "http://doi.org/10.1109/IVS.2013.6629618"]}, {"id": "2dd3dff173686d66af70e7180fabd8755dd1307d", "title": "Coupling detection and data association for multiple object tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/courses/CAP6412/Spring2013/papers/Wu-tracking-CVPR2012.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012-gray.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-CVPR-2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247896", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247896", "http://doi.org/10.1109/CVPR.2012.6247896"]}, {"id": "32b9be86de4f82c5a43da2a1a0a892515da8910d", "title": "Robust False Positive Detection for Real-Time Multi-target Tracking", "addresses": [{"name": "University of the West of Scotland", "source_name": "University of the West of Scotland", "street_adddress": "Stephenson Place Hamilton International Technology Park Blantyre, Glasgow G72 0LH, United Kingdom", "lat": "55.77824740", "lng": "-4.10409880", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://users.informatik.haw-hamburg.de/~ubicomp/arbeiten/papers/ICISP2014.pdf", "https://pdfs.semanticscholar.org/32b9/be86de4f82c5a43da2a1a0a892515da8910d.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-07998-1_52"]}, {"id": "e1f815c50a6c0c6d790c60a1348393264f829e60", "title": "PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e1f8/15c50a6c0c6d790c60a1348393264f829e60.pdf"], "doi": []}, {"id": "3b8f605c86007f7f22131e7c31ca5c327304589f", "title": "A variational approach to simultaneous tracking and classification of multiple objects", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://www.researchgate.net/profile/Victor_Romero-Cano/publication/262676886_A_Variational_Approach_to_Simultaneous_Tracking_and_Classification_of_Multiple_Objects/links/0a85e5386c2fe3ad41000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6916163", "http://ieeexplore.ieee.org/document/6916163/"]}, {"id": "9355b789dac162ad50c31cdf5d9a196cdc09828e", "title": "Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://escholarship.org/content/qt9w2556kz/qt9w2556kz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467456", "http://doi.org/10.1109/TCSVT.2016.2565998"]}, {"id": "8432cae0d463b46980dc3ba585affaaca90d1072", "title": "Joint tracking and gait recognition of multiple people in video", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296751", "http://doi.org/10.1109/ICIP.2017.8296751"]}, {"id": "075d9baf2ac827327a5fe63bb1f873c4f54f95df", "title": "Robust multi-pose face tracking by multi-stage tracklet association", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://vision.unipv.it/VA/VA-En/TEST/Rendering/Face%20tracking.pdf", "https://cvhci.anthropomatik.kit.edu/~baeuml/downloads/Roth2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460307", "http://ieeexplore.ieee.org/document/6460307/"]}, {"id": "7e02b0bce72a88f2f70b199c5dc87a01fe217832", "title": "Learning Multi-target Tracking with Quadratic Object Interactions", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.2066.pdf"], "doi": []}, {"id": "5df0fed3b37ffac6d0ae7c0a3ccce41c7044e8e8", "title": "Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Groupwise_Tracking_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yu_Groupwise_Tracking_of_CVPR_2016_paper.pdf", "https://cse.sc.edu/~songwang/document/cvpr16.pdf", "https://cvl.cse.sc.edu/Download/2016-Symposium-Hongkai.pdf", "https://cvl.cse.sc.edu/project/cvpr2016_files/1791.pdf", "https://cvl.cse.sc.edu/project/cvpr2016_files/cvpr16-poster-1791.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780478", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.109", "http://doi.org/10.1109/CVPR.2016.109"]}, {"id": "f9f34a0558a58720e1aa55421ff7583f049208a4", "title": "A hierarchical feature model for multi-target tracking", "addresses": [{"name": "Hainan University", "source_name": "Hainan University, China", "street_adddress": "China, \u7b2c\u4e00\u98df\u58022\u697c", "lat": "20.06199000", "lng": "110.32874000", "type": "edu", "country": "China"}, {"name": "Norwegian University of Science and Technology", "source_name": "Norwegian University of Science and Technology, Trondheim, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296755", "http://doi.org/10.1109/ICIP.2017.8296755"]}, {"id": "d5c14e768f91e97c16d6aeac8b108458d3eb8004", "title": "Hyper-parameter optimization tools comparison for multiple object tracking applications", "addresses": [{"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0984-1"]}, {"id": "6e32c368a6157fb911c9363dc3e967a7fb2ad9f7", "title": "Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8268/d68f6aa510a765466b2c7f2ba2ea34a48c51.pdf"], "doi": []}, {"id": "4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc", "title": "Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking", "addresses": [{"name": "University of Colorado, Denver", "source_name": "University of Colorado Denver", "street_adddress": "University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA", "lat": "39.74287785", "lng": "-105.00596398", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02143.pdf"], "doi": []}, {"id": "afa24eb881c7011e851f8a12dea32a7293cffefa", "title": "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2282-z", "https://www.wikidata.org/entity/Q57714766"]}, {"id": "529b933b0dc9c657cf829fd9bb7ff7c47d5e6d19", "title": "Integrating crowd simulation for pedestrian tracking in a multi-camera system", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2012/Integrating%20Crowd%20Simulation%20for%20Pedestrian12.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/IntegratingCrowdSimulationforPedestrianTracking14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6470157", "http://ieeexplore.ieee.org/document/6470157/"]}, {"id": "2731da4a48291640b2698cd5909c283484db10c3", "title": "Multiple object tracking by incorporating a particle filter into the min-cost flow model", "addresses": [{"name": "Harbin Institute of Technology (Shenzhen)", "source_name": "Harbin Institute of Technology (Shenzhen)", "street_adddress": "China, Guangdong, Shenzhen, Nanshan, \u5e73\u5c71\u4e00\u8def", "lat": "22.58675200", "lng": "113.96878000", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304259"]}, {"id": "e37c8e2823cc3429caca4420f19adf329c62d313", "title": "Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10256.pdf"], "doi": []}, {"id": "d5bbfef5511d215bd3d3cfee3926d313d48c3001", "title": "Online Multi-Object Tracking Using Hierarchical Constraints for Complex Scenarios", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8064178", "http://doi.org/10.1109/TITS.2017.2750058"]}, {"id": "0b79f0999eab1e2ac586a97dfc9a71809e7ab262", "title": "Joint Modeling of Algorithm Behavior and Image Quality for Algorithm Performance Prediction", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/1084/2cc3dd5f6685cbba3f06504c3bafa88ddffc.pdf"], "doi": []}, {"id": "14bfa18bc0a9eaf28732948813c764390c80acc4", "title": "Joint operator detection and tracking for person following from mobile platforms", "addresses": [{"name": "University of Koblenz-Landau", "source_name": "Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany", "street_adddress": "Rhabanusstra\u00dfe 3, 55118 Mainz, Germany", "lat": "50.00335000", "lng": "8.25958700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://www.uni-koblenz.de/~agas/Documents/Wojke2017JOD.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8009746", "http://doi.org/10.23919/ICIF.2017.8009746"]}, {"id": "62dc594c1eac220d2116506d187d9fdd5ff8e795", "title": "Robust multi-view pedestrian tracking using neural networks", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06370.pdf"], "doi": []}, {"id": "189ff58190c6ef1ff49b46f5c68a7b124b9b0059", "title": "Online Multi-target Tracking using Recurrent Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03635.pdf"], "doi": []}, {"id": "4adb3fb481d5ec33d6161d780162b616ab6c44e2", "title": "Joint Multi-View People Tracking and Pose Estimation for 3D Scene Reconstruction", "addresses": [{"name": "University of Washington (UW)", "source_name": "University of Washington (UW)", "street_adddress": "Seattle, WA 98195, USA", "lat": "47.65533510", "lng": "-122.30351990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486576", "http://doi.ieeecomputersociety.org/10.1109/ICME.2018.8486576", "http://doi.org/10.1109/ICME.2018.8486576"]}, {"id": "b40622567165b372a6e15928ab5ed41413d1d50d", "title": "Object detection and tracking using multi-layer laser for autonomous urban driving", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795564", "http://doi.org/10.1109/ITSC.2016.7795564"]}, {"id": "413f4e770cd05fb382d8ceb4f33cd2726f34b9b3", "title": "Multi-person tracking by discriminative affinity model and hierarchical association", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322838"]}, {"id": "8d7451f5c5849cb0397c3ec8cd7e2081b5d9421d", "title": "Multi-target & multi-detector people tracker for mobile robots", "addresses": [{"name": "Beta Robots, Barcelona, Catalunya, Spain", "source_name": "Beta Robots, Barcelona, Catalunya, Spain", "street_adddress": "Passeig dels Til\u00b7lers, 44, 08520 Corr\u00f3 d'Avall, Barcelona, Spain", "lat": "41.63195600", "lng": "2.29888400", "type": "edu", "country": "Spain"}, {"name": "PAL Robotics, Barcelona, Catalunya, Spain", "source_name": "PAL Robotics, Barcelona, Catalunya, Spain", "street_adddress": "4\u00ba 4\u00aa, Carrer de Pujades, 77, 08005 Barcelona, Spain", "lat": "41.39680080", "lng": "2.19395650", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/83919/1729-Multi-Target---Multi-Detector-People-Tracker-for-Mobile-Robots.pdf;jsessionid=7053C51C7D796486A19C7EAA2CD4887F?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7324223", "http://doi.org/10.1109/ECMR.2015.7324223"]}, {"id": "0f7fdd7f98ee5fbfa7d293e0f1fa399b7a4ec13a", "title": "Two-Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking under Occlusions", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0f7f/dd7f98ee5fbfa7d293e0f1fa399b7a4ec13a.pdf"], "doi": []}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "6eafa9a536d10b460f780e07c0052e7c246059e7", "title": "Automatic individual pig detection and tracking in surveillance videos", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04901.pdf"], "doi": []}, {"id": "f25ad1aa804dd6f7cfb9b02afa371fe1b9bf4378", "title": "Sentioscope: A Soccer Player Tracking System Using Model Field Particles", "addresses": [{"name": "Bilkent University", "source_name": "Bilkent University", "street_adddress": "Bilkent \u00dcniversitesi, 3. Cadde, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87204890", "lng": "32.75395155", "type": "edu", "country": "Turkey"}, {"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7156105", "http://doi.org/10.1109/TCSVT.2015.2455713"]}, {"id": "fe3208c3fd29876fc17a782a2f4f1bf3891bae0e", "title": "Multi-object tracking via MHT with multiple information fusion in surveillance video", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-014-0361-5"]}, {"id": "203abfcc3df8de6606cf34fa32cf225627f52d00", "title": "Learning Robot Vision for Assisted Living", "addresses": [{"name": "University of Alicante", "source_name": "University of Alicante, Alicante, Spain", "street_adddress": "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "lat": "38.38524460", "lng": "-0.51431610", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/203a/bfcc3df8de6606cf34fa32cf225627f52d00.pdf"], "doi": []}, {"id": "25dbf9b12475454585d5050c5cf446e1c4f6dd27", "title": "Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "LiberoVision AG, Zurich", "source_name": "LiberoVision AG, Zurich", "street_adddress": "Technoparkstrasse 1, 8005 Z\u00fcrich, Switzerland", "lat": "47.39029470", "lng": "8.51517680", "type": "company", "country": "Switzerland"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://www.mmp.rwth-aachen.de/publications/pdf/breitenstein-trackingbydetection-pami11.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_00761.pdf", "http://www.vision.rwth-aachen.de/media/papers/breitenstein-trackingbydetection-pami11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5674059", "http://doi.org/10.1109/TPAMI.2010.232", "https://www.ncbi.nlm.nih.gov/pubmed/21173441", "https://www.wikidata.org/entity/Q50690740"]}, {"id": "5be6226f1fa0c3a6f5be829b00f484582d531b6f", "title": "Online multi-model particle filter-based tracking to study bedload transport", "addresses": [{"name": "Universit\u00e9 Grenoble Alpes, France", "source_name": "Université Grenoble Alpes, Irstea, UR ETGR F-38402 St-Martin-d'Hères, France", "street_adddress": "Universit\u00e9 Grenoble Alpes, 1491 Rue des R\u00e9sidences, 38610 Saint-Martin-d'H\u00e8res, France", "lat": "45.19061570", "lng": "5.77493560", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Lyon, UJM-Saint-\u00c9tienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-\u00c9tienne, France", "source_name": "Université de Lyon, UJM-Saint-Étienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-Étienne, France", "street_adddress": "Lyon, France", "lat": "45.76404300", "lng": "4.83565900", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533008", "http://doi.org/10.1109/ICIP.2016.7533008"]}, {"id": "3c307cddf2bf84b4abcc96a362fe385c2d891c9b", "title": "A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7810052"]}, {"id": "71d3ed17c0642234a921bb45fcadd86520794941", "title": "Learning by Tracking: Siamese CNN for Robust Target Association", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07866.pdf"], "doi": []}, {"id": "78f4e29fafad7a0156cff6d14e9b92c8b8533d4c", "title": "Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/CVPR2014/Lywen-CVPR-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Wen_Multiple_Target_Tracking_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909563", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.167", "http://doi.org/10.1109/CVPR.2014.167"]}, {"id": "bb5855056f9a7e4c8f945bd965526302fb5db254", "title": "Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016", "addresses": [{"name": "Harvard Medical School , Boston, USA", "source_name": "Harvard Medical School , Boston, USA", "street_adddress": "25 Shattuck St, Boston, MA 02115, USA", "lat": "42.33563110", "lng": "-71.10411910", "type": "edu", "country": "United States"}, {"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.beck-shop.de/fachbuch/inhaltsverzeichnis/9783540651369_TOC_001.pdf", "https://pdfs.semanticscholar.org/bb58/55056f9a7e4c8f945bd965526302fb5db254.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46720-7"]}, {"id": "ddca5c18415bb855e76f9f459747685ee9c23a4d", "title": "MSMCT: Multi-State Multi-Camera Tracker", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048028", "http://doi.org/10.1109/TCSVT.2017.2755038"]}, {"id": "a8123a4e68642b602b5094f2f670ed7aefdd2f58", "title": "Online Video Object Detection Using Association LSTM", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Lu__Online_Video_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237519", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.257", "http://doi.org/10.1109/ICCV.2017.257"]}, {"id": "e3cc5d86b2032d01c1b40de0da3b7f4458c9c0ee", "title": "Globally Consistent Multi-People Tracking using Motion Patterns", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00604.pdf"], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "5055ec9531d57c6b32e5d122b04602e7441459a3", "title": "Accelerated People Tracking using Texture in a Camera Network", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://www.macs.hw.ac.uk/~greg/publications/lwm.visapp12.pdf", "http://www.scitepress.org/Papers/2012/38138/38138.pdf"], "doi": ["https://doi.org/10.5220/0003813802250234"]}, {"id": "7202235dd82965b4bf18216040e40433f96274cf", "title": "Interacting Tracklets for Multi-Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8370670", "http://doi.org/10.1109/TIP.2018.2843129", "https://www.ncbi.nlm.nih.gov/pubmed/29993548"]}, {"id": "63dd47f7ccf4bb22c1e308b263ec65ae382c86ce", "title": "Multiple target tracking and stationary object detection in video with Recursive-RANSAC and tracker-sensor feedback", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7152426"]}, {"id": "bbdc66937d1ebd5cbde36f3fe8051e168bd69603", "title": "Fluorosocopic sequence denoising using a motion compensated multi-scale temporal filtering", "addresses": [{"name": "Gipsa-lab: CNRS; Universit\u00e9 de Grenoble-Alpes, Saint-Martin-d'H\u00e8res, France", "source_name": "Gipsa-lab: CNRS; Université de Grenoble-Alpes, Saint-Martin-d'Hères, France", "street_adddress": "11 Rue des Math\u00e9matiques, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19344150", "lng": "5.76631150", "type": "edu", "country": "France"}, {"name": "Thales, Moirans, France", "source_name": "Thales, Moirans, France", "street_adddress": "460 Rue du Pommarin, 38430 Moirans, France", "lat": "45.31513600", "lng": "5.59701400", "type": "company", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350887", "http://doi.org/10.1109/ICIP.2015.7350887"]}, {"id": "ba6aec7f1b17833e7983809926a90951469f5520", "title": "People perception from RGB-D cameras for mobile robots", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7419070", "http://doi.org/10.1109/ROBIO.2015.7419070"]}, {"id": "1d8a522bbfddfe86951ea7605c7df058b2c2e1b0", "title": "Video tracking through occlusions by fast audio source localisation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738548", "http://doi.org/10.1109/ICIP.2013.6738548"]}, {"id": "1da09ba7340c77b3f943c15f80ff40f6f9d14eeb", "title": "MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos", "addresses": [{"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2010", "pdf": ["https://arxiv.org/pdf/1406.5095.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "fd23492e0db72f849502d74cf8893c9e70f35678", "title": "Winter 12-1-2011 Detection-assisted Object Tracking by Mobile Cameras", "addresses": [{"name": "University of Nebraska - Lincoln", "source_name": "University of Nebraska - Lincoln", "street_adddress": "Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA", "lat": "40.81747230", "lng": "-96.70444680", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fd23/492e0db72f849502d74cf8893c9e70f35678.pdf"], "doi": []}, {"id": "90c316d4c4bdc94908e68bbe46dd6c90a88e847f", "title": "Global tracker: An online evaluation framework to improve tracking quality", "addresses": [{"name": "INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France", "source_name": "INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/JulienAVSS14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918639", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918639", "http://doi.org/10.1109/AVSS.2014.6918639"]}, {"id": "22d8d50911c6b8994f624267677cf736be3c5a8e", "title": "Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296461", "http://doi.org/10.1109/ICIP.2017.8296461"]}, {"id": "83d0b7100ddce32e37af72585f9aa4181e6447e3", "title": "Online Social Behavior Modeling for Multi-target Tracking", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W22/papers/Zhang_Online_Social_Behavior_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595957", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.113", "http://doi.org/10.1109/CVPRW.2013.113"]}, {"id": "4822c1bf765cf99193a231c000c19ae5d0c10a00", "title": "Multi-object Tracking via Constrained Sequential Labeling", "addresses": [{"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://web.engr.oregonstate.edu/~afern/papers/cvpr14_tracking.pdf", "http://web.engr.oregonstate.edu/~sinisa/research/publications/cvpr14_tracking.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Multi-Object_Tracking_via_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909544", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.148", "http://doi.org/10.1109/CVPR.2014.148"]}, {"id": "a308ad39f3cc25096f493280319621a25c2c7f46", "title": "Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/63af/fa01d5b89d5d7faf89ca8155b88a3ba38759.pdf"], "doi": []}, {"id": "04c96e9b3b7ff1e293aa4a650ce4b49ebf7bd5d6", "title": "Tracking with local spatio-temporal motion patterns in extremely crowded scenes", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://www.cs.drexel.edu/~kon/publication/LKratz_CVPR10.pdf", "https://www.cs.drexel.edu/~kon/publication/LKratz_CVPR10_preprint.pdf", "https://www.cs.drexel.edu/~kon/pubs/LKratz_CVPR10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540149", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2010.5540149", "http://doi.org/10.1109/CVPR.2010.5540149"]}, {"id": "9458642e7645bfd865911140ee8413e2f5f9fcd6", "title": "Efficient Multiple People Tracking Using Minimum Cost Arborescences", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9458/642e7645bfd865911140ee8413e2f5f9fcd6.pdf"], "doi": []}, {"id": "a8f92b47df845b437dbf10b828a742006b75fd27", "title": "Flexible tracklet association for complex scenarios using a Markov Logic Network", "addresses": [{"name": "ONERA, Palaiseau, France", "source_name": "ONERA - The French Aerospace Lab, F-91761 Palaiseau, France", "street_adddress": "8 Chemin de la Huni\u00e8re, 91120 Palaiseau, France", "lat": "48.71467230", "lng": "2.23270940", "type": "edu", "country": "France"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130476", "http://doi.org/10.1109/ICCVW.2011.6130476"]}, {"id": "e5705294bb58bda55f32dfaf6f9783748f0cd7a8", "title": "Random finite set for data association in multiple camera tracking", "addresses": [{"name": "Institute for Infocomm Research, Singapore", "source_name": "Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2011", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202011/pdfs/0001357.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5946664", "http://doi.org/10.1109/ICASSP.2011.5946664"]}, {"id": "bb94a76badb69fd3d11de69f7a09518eca36ca5e", "title": "Occlusion handling for online visual tracking using labeled random set filters", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217567", "http://doi.org/10.1109/ICCAIS.2017.8217567"]}, {"id": "699797728e0e88f9821647dee2c40b86931c1f77", "title": "Online Multi-target Tracking with Strong and Weak Detections", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6997/97728e0e88f9821647dee2c40b86931c1f77.pdf"], "doi": []}, {"id": "76808ece9a138a8df2a28962bf1563208dbde6a3", "title": "V3I-STAL: Visual Vehicle-to-Vehicle Interaction via Simultaneous Tracking and Localization", "addresses": [{"name": "San Diego State University", "source_name": "San Diego State University, San Diego, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77572170", "lng": "-117.07188930", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2964285"]}, {"id": "591a4dddbebd3d3ce3d86f9910be40aafcb73a90", "title": "Multi-Person Tracking by Multicut and Deep Matching", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05404.pdf"], "doi": []}, {"id": "59ce048ce1f01704f37d2d60e033c3382118ecad", "title": "Obtaining three-dimensional trajectory of multiple fish in water tank via video tracking", "addresses": [{"name": "Jingdezhen Ceramic Institute, Jingdezhen, China", "source_name": "Jingdezhen Ceramic Institute, Jingdezhen, China", "street_adddress": "Taoyang S Rd, Zhushan Qu, Jingdezhen Shi, Jiangxi Sheng, China, 333000", "lat": "29.29292600", "lng": "117.25033800", "type": "edu", "country": "China"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5755-5"]}, {"id": "6ec8bb9c7aaec908b76dad89529c5ded7cab8e83", "title": "Continuous Energy Minimization for Multitarget Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Technische Universit\u00e4t Darmstadt", "source_name": "Technische Universit\u00e4t Darmstadt, Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://research.milanton.de/files/pami2014/pami2014-anton.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/papers/2014/milan-pami-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6520846", "http://doi.org/10.1109/TPAMI.2013.103", "https://www.ncbi.nlm.nih.gov/pubmed/24231866", "https://www.wikidata.org/entity/Q48704299"]}, {"id": "58eba9930b63cc14715368acf40017293b8dc94f", "title": "What Do I See? Modeling Human Visual Perception for Multi-person Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7508/ac08dd7b9694bcfe71a617df7fcf3df80952.pdf"], "doi": []}, {"id": "42d9cb791b8aa3a8658e3ac34e41a1bad1935610", "title": "Tracking Sports Players with Context-Conditioned Motion Models", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b830.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Liu_Tracking_Sports_Players_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619083", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.239", "http://doi.org/10.1109/CVPR.2013.239"]}, {"id": "218982f0878a3de667fac2bb18b9f50949aefc1c", "title": "Multi-pose multi-target tracking for activity understanding", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~izadinia/files/PID2616061.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475044", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475044", "http://doi.org/10.1109/WACV.2013.6475044"]}, {"id": "278eead9d16d003e5470bed36f4e3d680e37957b", "title": "Multi-human tracking using part-based appearance modelling and grouping-based tracklet association for visual surveillance applications", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3219-8", "https://www.wikidata.org/entity/Q56528515"]}, {"id": "63bf2c8af992e7306210d23f601840b3ca57b532", "title": "Tracking multiple ants in a colony", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://webpages.uncc.edu/~twfascia/pres/Thomas_WACV2013_Poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475065", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475065", "http://doi.org/10.1109/WACV.2013.6475065"]}, {"id": "22493d8d4d7b4604cae23638dce4981b36e30147", "title": "Learning an Image-Based Motion Context for Multiple People Tracking", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cvgl.stanford.edu/papers/LeaFenKuzRosSavCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Leal-Taixe_Learning_an_Image-based_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909848", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.453", "http://doi.org/10.1109/CVPR.2014.453"]}, {"id": "139302f87b4a23dad87b2f3a2187593f18bcd68c", "title": "Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06897.pdf"], "doi": []}, {"id": "46c9e36647f2d5b40555e4e392dd76807c73f2c2", "title": "Multi-Object Tracking in Airborne Video Imagery based on Compressive Tracking Detection Responses", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2843846"]}, {"id": "aae7648c8b3acad61463cc1bdb4f17da40f819a4", "title": "Context-based multi-target tracking with occlusion handling", "addresses": [{"name": "Auckland University of Technology", "source_name": "Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand", "street_adddress": "31 Symonds St, Auckland, 1010, New Zealand", "lat": "-36.85444260", "lng": "174.76761040", "type": "edu", "country": "New Zealand"}, {"name": "Daimler A.G, Boeblingen, Germany", "source_name": "Daimler A.G, Boeblingen, Germany", "street_adddress": "Hanns-Klemm-Stra\u00dfe 45, 71034 B\u00f6blingen, Germany", "lat": "48.67904910", "lng": "8.97664620", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-016-0770-x"]}, {"id": "e8062a0e50606e2230120e44b38a8cc26f475c22", "title": "Online Discriminative Structured Output SVM Learning for Multi-Target Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6705657"]}, {"id": "1257488885ab81ce41578bb244c258772681791a", "title": "Unified hierarchical multi-object tracking using global data association", "addresses": [{"name": "Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen", "source_name": "Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://mediatum.ub.tum.de/doc/1189672/125319.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6523791"]}, {"id": "1ba97b4f02b09c588c3d5189ecb94ec80c339caf", "title": "Multi-view Tracking of Multiple Targets with Dynamic Cameras", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1ba9/7b4f02b09c588c3d5189ecb94ec80c339caf.pdf"], "doi": []}, {"id": "616b7093cfe6ec679f25d63f62c16e937227258f", "title": "Bayesian Multi-object Tracking Using Motion Context from Multiple Objects", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/wacv15_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045866", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.12", "http://doi.org/10.1109/WACV.2015.12"]}, {"id": "4fc90013e4e2297f33a86db106843917c824d6b9", "title": "Visual object tracking\u2014classical and contemporary approaches", "addresses": [{"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-015-4246-3"]}, {"id": "586c989e12d19a48eb7084a3e07e9149c9fa7092", "title": "Online Scheme for Multiple Camera Multiple Target Tracking Based on Multiple Hypothesis Tracking", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517399", "http://doi.org/10.1109/TCSVT.2016.2593619"]}, {"id": "50137d663802224e683951c48970496b38b02141", "title": "DETRAC: A New Benchmark and Protocol for Multi-Object Tracking", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5013/7d663802224e683951c48970496b38b02141.pdf"], "doi": []}, {"id": "fdc6715efab69e057d53d782e930fd3e700cc7f9", "title": "Robust Multiperson Detection and Tracking for Mobile Service and Social Robots", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Institute for Infocomm Research, Singapore", "source_name": "Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6187748", "http://doi.org/10.1109/TSMCB.2012.2192107", "https://www.ncbi.nlm.nih.gov/pubmed/22542684", "https://www.wikidata.org/entity/Q48790519"]}, {"id": "3369b007683be909b1ff848b73a2787dc13ef0aa", "title": "Multi scale block histogram of template feature for pedestrian detection", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5654039", "http://doi.org/10.1109/ICIP.2010.5654039"]}, {"id": "44b517a544dafbf753f1b16feec26ec2c0c2a8f2", "title": "Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability", "addresses": [{"name": "Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York", "source_name": "Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York", "street_adddress": "1275 York Ave, New York, NY 10065, USA", "lat": "40.76410100", "lng": "-73.95598370", "type": "edu", "country": "United States"}, {"name": "University of Heidelberg", "source_name": "Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany", "street_adddress": "Berliner Str. 43, 69120 Heidelberg, Germany", "lat": "49.41875910", "lng": "8.67554310", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/lou_14_active.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/567785561/lou_14_active.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6698356", "http://doi.org/10.1109/TMI.2013.2296937", "https://www.ncbi.nlm.nih.gov/pubmed/24710154", "https://www.wikidata.org/entity/Q39006803"]}, {"id": "eaf421c589034b422d64c2c590d30959ce2d6c74", "title": "A discrete chain graph model for 3d+t cell tracking with high misdetection robustness", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/kausler_12_discrete.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/1549822464/kausler_12_discrete.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_11"]}, {"id": "c23153aade9be0c941390909c5d1aad8924821db", "title": "Efficient and Accurate Tracking for Face Diarization via Periodical Detection", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c231/53aade9be0c941390909c5d1aad8924821db.pdf"], "doi": []}, {"id": "191e58d41835d59b918759efb9d7b59fd8e5ee00", "title": "Branch and track", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.cs.duke.edu/~steve/papers/posterCvpr11.pdf", "http://www.cs.duke.edu/~steve/papers/posterCvpr11.pdf.pdf.filepart", "http://www.cs.duke.edu/~tomasi/papers/gu/guCvpr11.pdf", "https://users.cs.duke.edu/~tomasi/papers/gu/guCvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995599", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995599", "http://doi.org/10.1109/CVPR.2011.5995599"]}, {"id": "bd7e61b2ad008741b0845fbf3e1a7a3a9805f147", "title": "MTTV - An Interactive Trajectory Visualization and Analysis Tool", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bd7e/61b2ad008741b0845fbf3e1a7a3a9805f147.pdf"], "doi": []}, {"id": "a9607714002b5debc0cf7b96a3def0cc6a005198", "title": "Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04991.pdf"], "doi": []}, {"id": "22db2fd664a4b838149853d1f3390c6022a9ddb2", "title": "Detecting motion synchrony by video tubes", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2071973"]}, {"id": "90c01ab7f0516990e722c366155a796577bd31d8", "title": "A systematic framework for real-time online multi-object tracking", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7338725", "http://doi.org/10.1109/ICCAIS.2015.7338725"]}, {"id": "32f9cfe2e352dd036dc19d30374118c2322f4449", "title": "Global optimal data association for multiple people tracking", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www6.in.tum.de/Main/Publications/Chenlil2013a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631250", "http://doi.org/10.1109/ICRA.2013.6631250"]}, {"id": "4df1eb999ea8b7972e8f8b4ef218866aa16e98d4", "title": "Multi-object tracking with inter-feedback between detection and tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/10509/1/nerocomputing-tracking2016.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.07.028"]}, {"id": "6c58e3a8209fef0e28ca2219726c15ea5f284f4f", "title": "Temporally subsampled detection for accurate and efficient face tracking and diarization", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://publications.idiap.ch/downloads/papers/2016/Le_ICPR_2016.pdf", "http://www.idiap.ch/~odobez/publications/LeHeiliWuOdobez-ICPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899896", "http://doi.org/10.1109/ICPR.2016.7899896", "https://doi.org/10.1109/ICPR.2016.7899896"]}, {"id": "312b5c73d79ae80f9f8e4573118d372cf29a80e8", "title": "Multiple object video tracking using GRASP-MHT", "addresses": [{"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://isif.org/fusion/proceedings/fusion12CD/html/pdf/045_124.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6289822", "http://ieeexplore.ieee.org/document/6289822/"]}, {"id": "aad8d2e32f1cc21eedbdd5e8ebff9f367daa6d92", "title": "Online multi-target tracking by large margin structured learning", "addresses": [{"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2012", "pdf": ["http://cvlab.postech.ac.kr/~bhhan/papers/accv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37431-9_8"]}, {"id": "3b6cbd6eee1b75bf6f608065126408d3c3d71e99", "title": "Online multi-object tracking based on global and local features", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805435", "http://doi.org/10.1109/VCIP.2016.7805435"]}, {"id": "134994ada9a22f82b81640948afde2252e5ad5f5", "title": "Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cs.albany.edu/~lsw/papers/iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Wu_Simultaneous_Clustering_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751466", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.355", "http://doi.org/10.1109/ICCV.2013.355", "http://www.escience.cn/system/file?fileId=70045"]}, {"id": "9dc42551849d808f66dccf2e02c4f047a69c4d89", "title": "Counting people using gradient boosted trees", "addresses": [{"name": "Hebei Normal University", "source_name": "College of Mathematics and Information Sciences, Hebei Normal University, Shijiazhuang 050024, China", "street_adddress": "Yuhua, Shijiazhuang, Hebei, China, 050024", "lat": "38.00924450", "lng": "114.51817930", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7560388"]}, {"id": "c9efc5823212d700b08da5e482ffd46934ae0f58", "title": "Multi-target tracking with context from interaction feature strings", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c9ef/c5823212d700b08da5e482ffd46934ae0f58.pdf"], "doi": []}, {"id": "488cb054f61378809cdcea5b08b5005d392b07ce", "title": "Tracklet Association with Online Target-Specific Metric Learning", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Wang_Tracklet_Association_with_2014_CVPR_paper.pdf", "https://dr.ntu.edu.sg/bitstream/handle/10220/25754/Tracklet%20association%20with%20online%20target-specific%20metric%20learning.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909557", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.161", "http://doi.org/10.1109/CVPR.2014.161"]}, {"id": "1a52e51428c7a867189a775e274ab04dc35f2bd8", "title": "Fine-grained categorization of fish motion patterns in underwater videos", "addresses": [{"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}, {"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://cbl.uh.edu/pub_files/06130426.pdf", "http://qil.uh.edu/qil/websitecontent/pdf/2015-42.pdf", "http://web.engr.oregonstate.edu/~sinisa/research/publications/ICCV11Workshop.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130426", "http://doi.org/10.1109/ICCVW.2011.6130426"]}, {"id": "4f182750ff26f68d284a416b2fcfc5c53c8e9c24", "title": "Robust online multi-object tracking based on KCF trackers and reassignment", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7905816", "http://doi.org/10.1109/GlobalSIP.2016.7905816"]}, {"id": "e4cf6a559b4002b650dde376005a64b064963b19", "title": "Memory Based Online Learning of Deep Representations from Video Streams", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07368.pdf"], "doi": []}, {"id": "89a7cafc8b001a95373cafc71ca166d9df231385", "title": "Accurate person tracking through changing poses for multi-view action recognition", "addresses": [{"name": "Raytheon BBN Technologies, Cambridge, MA", "source_name": "Raytheon BBN Technologies, Cambridge, MA", "street_adddress": "10 Moulton St, Cambridge, MA 02138, USA", "lat": "42.38980550", "lng": "-71.14759860", "type": "company", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2010", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1924580"]}, {"id": "38b5a83f7941fea5fd82466f8ce1ce4ed7749f59", "title": "Improving multi-target tracking via social grouping", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/grouptracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247899", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247899", "http://doi.org/10.1109/CVPR.2012.6247899"]}, {"id": "5c46e40aa1313e444ddb74cf53c5c7ce0d38366d", "title": "Object identification, enhancement and tracking under dynamic background conditions", "addresses": [{"name": "University of Peradeniya", "source_name": "University of Peradeniya", "street_adddress": "Galaha Rd, 20400, Sri Lanka", "lat": "7.25818990", "lng": "80.59878060", "type": "edu", "country": "Sri Lanka"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069583"]}, {"id": "2f988201fb8316772bca1b44cc0e42f774edd714", "title": "Conditional Random Field (CRF)-Boosting: Constructing a Robust Online Hybrid Boosting Multiple Object Tracker Facilitated by CRF Learning", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2f98/8201fb8316772bca1b44cc0e42f774edd714.pdf"], "doi": []}, {"id": "14d5bd23667db4413a7f362565be21d462d3fc93", "title": "An Online Learned Elementary Grouping Model for Multi-target Tracking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~zqin001/cvpr2014.pdf", "http://www.cs.ucr.edu/~xchen010/papers/CVPR2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909558", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.162", "http://doi.org/10.1109/CVPR.2014.162"]}, {"id": "ce049cdb0582ffd46d2b8725c30ce73e48e796ad", "title": "Tracking individuals in surveillance video of a high-density crowd", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ce04/9cdb0582ffd46d2b8725c30ce73e48e796ad.pdf"], "doi": []}, {"id": "9840b1c84dc8f47979d74be23e2276a12d24164c", "title": "Advances in Visual Computing", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "Desert Research Institute, Reno, USA", "source_name": "Desert Research Institute, Reno, USA", "street_adddress": "2215 Raggio Pkwy, Reno, NV 89512, USA", "lat": "39.57202790", "lng": "-119.80071190", "type": "company", "country": "United States"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}, {"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}, {"name": "Lawrence Berkeley National Laboratory", "source_name": "Lawrence Berkeley National Laboratory", "street_adddress": "1 Cyclotron Rd, Berkeley, CA 94720, USA", "lat": "37.87592770", "lng": "-122.25002740", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "NASA Ames Research Center, Moffett Field, USA", "source_name": "NASA Ames Research Center, Moffett Field, USA", "street_adddress": "Moffett Blvd, Mountain View, CA 94043, USA", "lat": "37.40896040", "lng": "-122.06449830", "type": "gov", "country": "United States"}, {"name": "NVIDIA, Leesburg, USA", "source_name": "NVIDIA, Leesburg, USA", "street_adddress": "Leesburg, VA, USA", "lat": "39.11566150", "lng": "-77.56360150", "type": "company", "country": "United States"}, {"name": "NextGen Interactions, Raleigh, NC", "source_name": "NextGen Interactions, Raleigh, USA", "street_adddress": "Raleigh, NC, USA", "lat": "35.77958970", "lng": "-78.63817870", "type": "company", "country": "United States"}, {"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}, {"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-14249-4"]}, {"id": "7ef33dd6bc689eb17d7696e2de2d36de73507e52", "title": "Towards real-time and low-latency video object tracking by linking tracklets of incomplete detections", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Siqura B.V., Gouda, The Netherlands", "source_name": "Siqura B.V., Gouda, The Netherlands", "street_adddress": "Meridiaan 32, 2801 DA Gouda, Netherlands", "lat": "52.01690360", "lng": "4.68639910", "type": "company", "country": "Netherlands"}], "year": "2013", "pdf": ["http://vca.ele.tue.nl/publications/data/Vijverberg2013a.pdf", "https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636656.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636656", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636656", "http://doi.org/10.1109/AVSS.2013.6636656"]}, {"id": "d82a39da1e524f6ac8b5622002bccb974bc9b69e", "title": "Multihuman Tracking Based on a Spatial\u2013Temporal Appearance Match", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6587854", "http://doi.org/10.1109/TCSVT.2013.2280073"]}, {"id": "17b81e9282da0ba5624ef62f4537bd211a3f5acf", "title": "Linear time offline tracking and lower envelope algorithms", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ftp.cs.duke.edu/~tomasi/papers/gu/guIccv11.pdf", "http://www.cs.duke.edu/~steve/papers/offline.pdf", "http://www.cs.duke.edu/~steve/papers/poster_offline.pdf", "https://users.cs.duke.edu/~tomasi/papers/gu/guIccv11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126451", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126451", "http://doi.org/10.1109/ICCV.2011.6126451"]}, {"id": "50b22fa36b05f175101faa1eeaaf79eacfd9863b", "title": "Multiway histogram intersection for multi-target tracking", "addresses": [{"name": "Air Force Research Lab, USA", "source_name": "Air Force Research Lab, USA", "street_adddress": "26 Electronics Parkway, Rome, NY 13441, USA", "lat": "43.22135160", "lng": "-75.40855770", "type": "mil", "country": "United States"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Intelligent Fusion Technology, Inc, Germantown, MD, USA", "source_name": "Intelligent Fusion Technology, Inc, Germantown, MD, USA", "street_adddress": "20271 Goldenrod Ln, Germantown, MD 20876, USA", "lat": "39.18666240", "lng": "-77.25049360", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7266792", "http://ieeexplore.ieee.org/document/7266792/"]}, {"id": "1260950b06b68b2be42ba54112f5856044e25652", "title": "Tracking pedestrians with bacterial foraging optimization swarms", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2011/Tracking%20Pedestrians%20with%20Bacterial11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949658", "http://doi.org/10.1109/CEC.2011.5949658"]}, {"id": "ef9f61f1a00351a9c38cb0e9ade622a55ff2a148", "title": "Adaptive kernel-based object tracking with robust appereance model using particle filter", "addresses": [{"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6620105"]}, {"id": "4c989676b701495221433b4c174ee6d04051348a", "title": "Interactive Framework for Insect Tracking with Active Learning", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://graphics.uni-konstanz.de/publikationen/Shen2014InteractiveFrameworkInsect/Shen2014InteractiveFrameworkInsect.pdf", "http://www.lfb.rwth-aachen.de/bibtexupload/pdf/SHE14a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977184", "http://doi.org/10.1109/ICPR.2014.471"]}, {"id": "20a2890c92b7ad628aedd25db3384276f0fdaf90", "title": "A Combined Voxel and Particle Filter-Based Approach for Fast Obstacle Detection and Tracking in Automotive Applications", "addresses": [{"name": "University of La Laguna", "source_name": "Departamento de Ingenier\u00eda Inform\u00e1tica, University of La Laguna, Santa Cruz de Tenerife, Spain", "street_adddress": "Calle Padre Herrera, s/n, 38200 San Crist\u00f3bal de La Laguna, Santa Cruz de Tenerife, Spain", "lat": "28.48109410", "lng": "-16.31584430", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725942", "http://doi.org/10.1109/TITS.2016.2616718"]}, {"id": "43461e78874aff6b33b8231daf6068ec7ff15098", "title": "Automated tracing of myelinated axons and detection of the nodes of Ranvier in serial images of peripheral nerves.", "addresses": [{"name": "University of Heidelberg", "source_name": "Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany", "street_adddress": "Berliner Str. 43, 69120 Heidelberg, Germany", "lat": "49.41875910", "lng": "8.67554310", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/kreshuk_et_al-2015-journal_of_the_royal_microscopical_society.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26191646", "http://doi.org/10.1111/jmi.12266"]}, {"id": "7227c1d8f53279041822266c7a6d0ac128e96d05", "title": "Multi-view People Tracking via Hierarchical Trajectory Composition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Xu_Multi-View_People_Tracking_CVPR_2016_paper.pdf", "http://web.cs.ucla.edu/~yuanluxu/publications/mvot_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Xu_Multi-View_People_Tracking_CVPR_2016_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2016/CVPR2016_multi-camera_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780830", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.461", "http://doi.org/10.1109/CVPR.2016.461"]}, {"id": "828b73e8a4d539eeae82601b5f5a4392818c6430", "title": "Long-Term Tracking by Decision Making", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/828b/73e8a4d539eeae82601b5f5a4392818c6430.pdf"], "doi": []}, {"id": "8338a6a0c1918562d821fa00f13eb30a42aa5b07", "title": "Robust tracking of fish schools using CNN for head identification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-4045-3"]}, {"id": "b4288f34528fbda2d2781454aadccae0d578d59a", "title": "Bayesian 3D Tracking from Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://kobus.ca/research/publications/13/Brau-ICCV-13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Brau_Bayesian_3D_Tracking_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751530", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.418", "http://doi.org/10.1109/ICCV.2013.418"]}, {"id": "81b337f2006cd6c8d5fd148a56cab3e5a662d40d", "title": "Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/81b3/37f2006cd6c8d5fd148a56cab3e5a662d40d.pdf"], "doi": []}, {"id": "750465b63c19e8b33743f8f446413382f0239c97", "title": "Multi-target Tracking and Segmentation via Discriminative Appearance Model", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://www.vis.uky.edu/3dimpvt/assets/papers/17th%20pm/multi-target%20tracking%20and%20segmentation%20via%20discriminative%20appearance%20model.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5955348", "http://doi.ieeecomputersociety.org/10.1109/3DIMPVT.2011.19", "http://doi.org/10.1109/3DIMPVT.2011.19"]}, {"id": "0ebb98011a941ad8800ab06b374dd3e41d17aaea", "title": "Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://mediatum.ub.tum.de/doc/1189673/973900.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d650.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Hofmann_Hypergraphs_for_Joint_2013_CVPR_paper.pdf", "http://www.mmk.ei.tum.de/publ//pdf/13/13hof3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619312", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.468", "http://doi.org/10.1109/CVPR.2013.468"]}, {"id": "6aef7b35776ed2b86b60af096319b9f4fc7f37b8", "title": "Detection-assisted Object Tracking by Mobile Cameras", "addresses": [{"name": "University of Nebraska - Lincoln", "source_name": "University of Nebraska - Lincoln", "street_adddress": "Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA", "lat": "40.81747230", "lng": "-96.70444680", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6aef/7b35776ed2b86b60af096319b9f4fc7f37b8.pdf"], "doi": []}, {"id": "34339f1edc9fb0ac90f363ddbaf39f853495a137", "title": "Capture, analysis and synthesis of photorealistic crowds", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/3433/9f1edc9fb0ac90f363ddbaf39f853495a137.pdf"], "doi": []}, {"id": "27785e060b3aca6f3f6e09497bc32eb58b4cd6bf", "title": "Tracking Pedestrians Using Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://www.cs.drexel.edu/~kon/publication/LKratz_TPAMI11_preprint.pdf", "https://www.cs.drexel.edu/~lak24/publications/TPAMI11_track_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989832", "http://doi.org/10.1109/TPAMI.2011.173", "https://www.ncbi.nlm.nih.gov/pubmed/21844618", "https://www.wikidata.org/entity/Q50674397"]}, {"id": "aac241c0327ceec5fded6646cc5b93e150ca8b06", "title": "Crisis management using multiple camera surveillance systems", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/aac2/41c0327ceec5fded6646cc5b93e150ca8b06.pdf"], "doi": []}, {"id": "13453bbe7b669e0a6ea82cf0f13494e08f00414f", "title": "Multi-object Tracking Using Compressive Sensing Features in Markov Decision Process", "addresses": [{"name": "Le2i FRE2005, CNRS, Arts et M\u00e9tiers, Univ. Bourgogne Franche-Comt\u00e9, UTBM, Belfort, France", "source_name": "Le2i FRE2005, CNRS, Arts et M\u00e9tiers, Univ. Bourgogne Franche-Comt\u00e9, UTBM, Belfort, France", "street_adddress": "Arts et M\u00e9tiers, 75003 Paris, France", "lat": "48.86666460", "lng": "2.35727030", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70353-4_43"]}, {"id": "bc12715a1ddf1a540dab06bf3ac4f3a32a26b135", "title": "Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02781.pdf"], "doi": []}, {"id": "ceef3cce226d2f5977ff4366c5fed0e366a11d84", "title": "Integrating statistical and cognitive model for multi-object tracking in realistic scenarios", "addresses": [{"name": "Otto-von-Guericke-University Magdeburg", "source_name": "Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany", "street_adddress": "Universit\u00e4tspl. 2, 39106 Magdeburg, Germany", "lat": "52.14020530", "lng": "11.64419910", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6148867"]}, {"id": "41b541ff747817dade4653fe6ffcdc50e7b3135b", "title": "A Stochastic Graph Evolution Framework for Robust Multi-target Tracking", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/41b5/41ff747817dade4653fe6ffcdc50e7b3135b.pdf"], "doi": []}, {"id": "5d09fefbcee2410eb448dc75f5957bed8587624b", "title": "How does person identity recognition help multi-person tracking?", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://iris.usc.edu/Outlines/papers/2011/kuo-nevatia-cvpr11.pdf", "http://iris.usc.edu/people/chenghak/download/Kuo_Nevatia_CVPR2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995384", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995384", "http://doi.org/10.1109/CVPR.2011.5995384"]}, {"id": "247a55385a11c070a9bdfce55ad4da6b8bb8d3c6", "title": "Towards Longer Long-Range Motion Trajectories", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8d37/db7aa7e038c1a8bfbf56a90e0676494e70b7.pdf"], "doi": []}, {"id": "6cd51f1699ceb4f433c88de70bbf46b27f527d4a", "title": "A novel solution for multi-camera object tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025472", "http://doi.org/10.1109/ICIP.2014.7025472"]}, {"id": "8c618c038c60a385d220193f87b8b0759aab0fd7", "title": "A Hierarchical Association Framework for Multi-Object Tracking in Airborne Videos", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Vrije Universiteit Brussel", "source_name": "Vrije Universiteit Brussel", "street_adddress": "Vrije Universiteit Brussel, 170, Quai de l'Industrie - Nijverheidskaai, Anderlecht, Brussel-Hoofdstad - Bruxelles-Capitale, R\u00e9gion de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, 1070, Belgi\u00eb / Belgique / Belgien", "lat": "50.84110070", "lng": "4.32377555", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61b3/ae98486724227f57d6473f4cf1b45110b760.pdf"], "doi": []}, {"id": "7c4864065f4e107cb5be49a8dba8cf7d94b8340f", "title": "Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b846.pdf", "http://www.cse.psu.edu/~asad/cvpr_2013.pdf", "http://www.cse.psu.edu/~rtc12/Papers/cvpr2013ButtCollins.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Butt_Multi-target_Tracking_by_2013_CVPR_paper.pdf", "https://wiki.epfl.ch/edicpublic/documents/Candidacy%20exam/03Mul.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619085", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.241", "http://doi.org/10.1109/CVPR.2013.241"]}, {"id": "def340ffd4bc0bc57b33a447d99a3c2f64e1a572", "title": "Multiple neutrophils tracking in vitro array using high-order temporal information", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8512342", "http://doi.org/10.1109/EMBC.2018.8512342", "https://www.ncbi.nlm.nih.gov/pubmed/30440249"]}, {"id": "bf63599a05692ba4c18476f696edf98bc28a4f3d", "title": "Fully Convolutional Neural Networks for Crowd Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.4464.pdf"], "doi": []}, {"id": "82b9a637e55a9faef8f68d00296684c6cf29630a", "title": "Segment-wise online learning based on greedy algorithm for real-time multi-target tracking", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://slsp.kaist.ac.kr/paperdata/Segment-wise_Online_Learning.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350924", "http://doi.org/10.1109/ICIP.2015.7350924"]}, {"id": "ac0fd99c800160043c9d4eb38f369c81f6ae0097", "title": "Automated safety control by video cameras", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "Netherlands Defence Academy", "source_name": "Delft University of Technology and Netherlands Defence Academy", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "mil", "country": "Netherlands"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2383320"]}, {"id": "283d226e346ac3e7685dd9a4ba8ae55ee4f2fe43", "title": "Bayesian Data Association for Temporal Scene Understanding", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/283d/226e346ac3e7685dd9a4ba8ae55ee4f2fe43.pdf"], "doi": []}, {"id": "e225e1b77d87f8a6ee8e7ce3c93994233ba74dcb", "title": "Survey on Contemporary Remote Surveillance Systems for Public Safety", "addresses": [{"name": "VTT Technical Research Centre of Finland, Oulu, Finland", "source_name": "VTT Technical Research Centre of Finland, Oulu, Finland", "street_adddress": "Kaitov\u00e4yl\u00e4 1, 90570 Oulu, Finland", "lat": "65.05667640", "lng": "25.45737150", "type": "company", "country": "Finland"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5422679", "http://doi.org/10.1109/TSMCC.2010.2042446"]}, {"id": "6161ed8a0aa7d5b8791534b093e02e6eca6b1524", "title": "A cost function approach for multi-human tracking", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116556", "http://doi.org/10.1109/ICIP.2011.6116556"]}, {"id": "1e7ca1f8393c1a39e60329fce8560be92ac8c96b", "title": "Learning Spatio-Temporal Information for Multi-Object Tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885605", "http://doi.org/10.1109/ACCESS.2017.2686482"]}, {"id": "5984c4a65c8fbd02be6054c30d929e76b9b9110a", "title": "Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01168.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Kroeger-BMTT@WACV-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046816", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2015.6", "http://doi.org/10.1109/WACVW.2015.6"]}, {"id": "0ff1da972f03085a2bbe87b88940da6201e1aaf9", "title": "Pedestrian detection and tracking using deformable part models and Kalman filtering", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2012", "pdf": ["http://www.davidpublishing.com/davidpublishing/Upfile/11/13/2013/2013111306640390.pdf", "http://www.researchgate.net/profile/Shubham_Mittal5/publication/260244021_Pedestrian_Detection_and_Tracking_Using_Deformable_Part_Models_and_Kalman_Filtering/links/09e41511c32ef1f4fd000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6407106", "http://doi.org/10.1109/ISOCC.2012.6407106"]}, {"id": "e12d5019baca91c3662aef317d406ae884f9c742", "title": "Post-Processing of Multi-Target Trajectories for Traffic Safety Analysis", "addresses": [{"name": "University of Goettingen", "source_name": "Institute of Computer Science University of Goettingen, Data Fusion Group, Germany", "street_adddress": "Goldschmidtstra\u00dfe 7, 37077 G\u00f6ttingen, Germany", "lat": "51.55594460", "lng": "9.94799660", "type": "edu", "country": "Germany"}, {"name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "source_name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "street_adddress": "Rutherfordstra\u00dfe 2, 12489 Berlin, Germany", "lat": "52.42820940", "lng": "13.52918370", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455280", "http://doi.org/10.23919/ICIF.2018.8455280"]}, {"id": "59e9934720baf3c5df3a0e1e988202856e1f83ce", "title": "UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04136.pdf"], "doi": []}, {"id": "b1bbe8b1afb97d590269bae95c34c87a8aa388cb", "title": "Multi-target tracking by continuous energy minimization", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://research.milanton.de/files/cvpr2011/cvpr2011-poster.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/anton11cvpr.pdf", "http://www.milanton.de/files/cvpr2011/cvpr2011-anton.pdf", "http://www.milanton.de/files/cvpr2011/cvpr2011-poster.pdf", "http://www.researchgate.net/profile/Anton_Milan/publication/221364514_Multi-target_tracking_by_continuous_energy_minimization/links/0912f50b342afc3c47000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995311", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995311", "http://doi.org/10.1109/CVPR.2011.5995311"]}, {"id": "b506aa23949b6d1f0c868ad03aaaeb5e5f7f6b57", "title": "Modeling Social and Temporal Context for Video Analysis", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/zqin-phd.pdf"], "doi": ["https://www.base-search.net/Record/3b04a8f520744937ae3394bccbac1d98399bc9af219cd06cb618e7be7340943d"]}, {"id": "3b1fcfd2fdb89b3534e506beda391305f10daf5a", "title": "Perimeter-intrusion event classification for on-line detection using multiple instance learning solving temporal ambiguities", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Siqura B.V., Gouda, The Netherlands", "source_name": "Siqura B.V., Gouda, The Netherlands", "street_adddress": "Meridiaan 32, 2801 DA Gouda, Netherlands", "lat": "52.01690360", "lng": "4.68639910", "type": "company", "country": "Netherlands"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025487", "http://doi.org/10.1109/ICIP.2014.7025487"]}, {"id": "e6a5c128a6697063b2560702f792b97c65db99e2", "title": "Signature-driven multi-target tracking", "addresses": [{"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5711928", "http://ieeexplore.ieee.org/document/5711928/"]}, {"id": "2bcf2bd59219d89f335cbc8d1dd4f431076b4c4c", "title": "Recent advances and trends in visual tracking: A review", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://lshao.staff.shef.ac.uk/pub/Tracking_NeuCom2011.pdf", "http://www.nlpr.ia.ac.cn/2012papers/gjkw/gk26.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2011.07.024"]}]}
\ No newline at end of file diff --git a/site/datasets/citations/pa_100k.json b/site/datasets/citations/pa_100k.json index a58e2965..db7260b4 100644 --- a/site/datasets/citations/pa_100k.json +++ b/site/datasets/citations/pa_100k.json @@ -1 +1 @@ -{"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "paper": {"key": "pa_100k", "name": "PA-100K", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017"}, "address": {}, "citations": [{"id": "df293716fbab287f8047378df86c5f81c03fe123", "title": "Dynamic Curriculum Learning for Imbalanced Data Classification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.06783.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "adc95c86c5d5288b8d7d096ca2b77667826d985b", "title": "Self-Referenced Deep Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07598.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "648d6b3e30f2fcb1abcd797b60a45c22f212de0f", "title": "Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486604"]}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "74e38dfeb5abc7ddf077abc01de90f4d0a49c142", "title": "Omni-directional Feature Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05319.pdf"], "doi": []}, {"id": "1d61c77ea9df08c42ae2d222f04ff8291d088e84", "title": "The Pros and Cons: Rank-aware Temporal Attention for Skill Determination in Long Videos", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05538.pdf"], "doi": []}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "78569509e61269f5d2276b80f4fd41c22617ccc4", "title": "Localization Guided Learning for Pedestrian Attribute Recognition", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09102.pdf"], "doi": []}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "paper": {"key": "pa_100k", "name": "PA-100K", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017"}, "address": {}, "citations": [{"id": "df293716fbab287f8047378df86c5f81c03fe123", "title": "Dynamic Curriculum Learning for Imbalanced Data Classification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.06783.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "adc95c86c5d5288b8d7d096ca2b77667826d985b", "title": "Self-Referenced Deep Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07598.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "648d6b3e30f2fcb1abcd797b60a45c22f212de0f", "title": "Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486604"]}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "74e38dfeb5abc7ddf077abc01de90f4d0a49c142", "title": "Omni-directional Feature Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05319.pdf"], "doi": []}, {"id": "1d61c77ea9df08c42ae2d222f04ff8291d088e84", "title": "The Pros and Cons: Rank-aware Temporal Attention for Skill Determination in Long Videos", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05538.pdf"], "doi": []}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "78569509e61269f5d2276b80f4fd41c22617ccc4", "title": "Localization Guided Learning for Pedestrian Attribute Recognition", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09102.pdf"], "doi": []}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/citations/prid.json b/site/datasets/citations/prid.json index ddc4ee3d..def7863f 100644 --- a/site/datasets/citations/prid.json +++ b/site/datasets/citations/prid.json @@ -1 +1 @@ -{"id": "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "paper": {"key": "prid", "name": "PRID", "title": "Person Re-identification by Descriptive and Discriminative Classification", "year": "2011"}, "address": {}, "citations": [{"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "ae8febda8de382422962c4ff73f87d92c5e029df", "title": "Human recognition for following robots with a Kinect sensor", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7866511", "http://doi.org/10.1109/ROBIO.2016.7866511"]}, {"id": "df4525d7d99f7237c864adbcb2dab30d8f7447e0", "title": "Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification", "addresses": [{"name": "Universidade Federal de Minas Gerais, Brazil", "source_name": "Universidade Federal de Minas Gerais, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06969.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "c458db5d616058fbd9de19acc6c82827396cf195", "title": "Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-iccv15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410870", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.513", "http://doi.org/10.1109/ICCV.2015.513"]}, {"id": "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "title": "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "addresses": [{"name": "London, United Kingdom", "source_name": "London, United Kingdom", "street_adddress": "London, Greater London, England, SW1A 2DU, UK", "lat": "51.50732190", "lng": "-0.12764740", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7970176"]}, {"id": "c7ec456099ae2d0eee073ca1d546d7ca57dd4a85", "title": "Transferring clothing parsing from fashion dataset to surveillance", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001667.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952440", "http://doi.org/10.1109/ICASSP.2017.7952440"]}, {"id": "9f1b39e8d157b74181c666e85e5d55550d762409", "title": "Three-Stream Convolutional Networks for Video-based Person Re-Identification", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01652.pdf"], "doi": []}, {"id": "de02043fd479a2bcf23d30ab4496cc4e0d84f699", "title": "Zero-Shot Person Re-identification via Cross-View Consistency", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346474", "http://doi.org/10.1109/TMM.2015.2505083"]}, {"id": "8899b274fdb4ff77de40a15a958ab5ea4b4a6477", "title": "Deep spatio-temporal network for accurate person re-identification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001673"]}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "97527b3c58591926800e3586e13d99a8cf5b17ff", "title": "Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Technology, Princeton, NJ, USA", "source_name": "Siemens Corporate Technology, Princeton, NJ, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-tcsvt17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7994636", "http://doi.org/10.1109/TCSVT.2017.2732822"]}, {"id": "b33bbdac96c3540ebb07c3655643e6badc368c59", "title": "MultiMedia Modeling", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Shanghai Jitotong University", "source_name": "Shanghai Jitotong University, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "University of Newcastle", "source_name": "University of Newcastle", "street_adddress": "University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia", "lat": "-33.35788990", "lng": "151.37834708", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-14442-9"]}, {"id": "b7bc6a2dfe99668457b67007400f5ab760386d0c", "title": "A Siamese inception architecture network for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0843-5"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "9f1ce2cb2c0e7e7ddf620cc59a7342bc04990efa", "title": "An integrated framework for video surveillance in complex environments", "addresses": [{"name": "BV-Tech Ricerca, Rovereto (Italy)", "source_name": "BV-Tech Ricerca, Rovereto (Italy)", "street_adddress": "Via Zeni Fortunato, 8, 38068 Rovereto TN, Italy", "lat": "45.88964970", "lng": "11.03188280", "type": "edu", "country": "Italy"}, {"name": "DISI - University of Trento", "source_name": "DISI - University of Trento, Trento (Italy)", "street_adddress": "Via Sommarive, 9, 38123 Povo,Trento TN, Italy", "lat": "46.06698580", "lng": "11.14982180", "type": "edu", "country": "Italy"}, {"name": "FBK Trento", "source_name": "FBK Trento (Italy)", "street_adddress": "Via Santa Croce, 77, 38122 Trento TN, Italy", "lat": "46.06273420", "lng": "11.12441070", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7580834", "http://doi.org/10.1109/ISC2.2016.7580834"]}, {"id": "7346838bcd4c372fe79cb85ac519e0b4f06fd7b5", "title": "LOMO3D descriptor for video-based person re-identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309044", "http://doi.org/10.1109/GlobalSIP.2017.8309044"]}, {"id": "e9835bb131287d711e5e5435a5df8ce5302acb31", "title": "Person Re-identification by Unsupervised ` 1 Graph Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e983/5bb131287d711e5e5435a5df8ce5302acb31.pdf"], "doi": []}, {"id": "3c84e2ed018dd1d971b526f87e9d7c1f08e6230f", "title": "Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}, {"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2783286"]}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "53baabad70915a852477c2191b8bdb005b8cc4a5", "title": "Temporal-Enhanced Convolutional Network for Person Re-Identification", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53ba/abad70915a852477c2191b8bdb005b8cc4a5.pdf"], "doi": []}, {"id": "7965b2ce7d64991218515e20fc1fc0459fd20a38", "title": "Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11261.pdf"], "doi": []}, {"id": "d6b2d4f1bc08dc3d3922fb43b1b8e3614349f539", "title": "Bur\u00e7in Buket O\u011ful in partial fulfillment of the requirements for the degree of Master of Science in Information Systems , Middle East Technical", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d6b2/d4f1bc08dc3d3922fb43b1b8e3614349f539.pdf"], "doi": []}, {"id": "589b1677d6de28c47693c5816c32698860c32d10", "title": "Tri-modal Person Re-identification with RGB, Depth and Thermal Features", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2013", "pdf": ["http://vbn.aau.dk/files/210202523/triModalPersonReId.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/Workshops/4990a301.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W13/papers/Mgelmose_Tri-modal_Person_Re-identification_2013_CVPR_paper.pdf", "http://www.maia.ub.es/~sergio/linked/cvpr2013pwt.pdf", "http://www.maia.ub.es/~sergio/linked/cvpr2013trimodalpersonreid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595891", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.52", "http://doi.org/10.1109/CVPRW.2013.52"]}, {"id": "d97094aafbcec8e4cb63098b42a7553ffd2cb854", "title": "Human Re-Identification", "addresses": [{"name": "Siemens Corporate Research, Plainsboro, USA", "source_name": "Siemens Corporate Research, Plainsboro, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-40991-7"]}, {"id": "611849b55ef6b164f21e52cefd05300041e72152", "title": "A MultiTask Deep Network for Person Re-Identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6118/49b55ef6b164f21e52cefd05300041e72152.pdf"], "doi": []}, {"id": "30fdf33bdc29c8bb3a2c5b1ff95ffd351c2f8e21", "title": "Joint instance and feature importance re-weighting for person reidentification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001546.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471936", "http://doi.org/10.1109/ICASSP.2016.7471936"]}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "ccf934a335793fe416b0115183783d2c355b64ed", "title": "Query Based Adaptive Re-ranking for Person Re-identification", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ccf9/34a335793fe416b0115183783d2c355b64ed.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "5ec650d4506ac2bb066760420ee8185c93dbb2c1", "title": "Person re-identification using color name descriptor-based sparse representation", "addresses": [{"name": "Chung-Ang University", "source_name": "Chung-Ang University", "street_adddress": "\uc911\uc559\ub300\ud559\uad50, \uc11c\ub2ec\ub85c15\uae38, \ud751\uc11d\ub3d9, \ub3d9\uc791\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 06981, \ub300\ud55c\ubbfc\uad6d", "lat": "37.50882000", "lng": "126.96190000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7868394"]}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "6782b148bd2de66cd73f3d69f481d40cce866fff", "title": "Robust relationship learning to illumination in a camera network", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8330588"]}, {"id": "61dfbdfe718aca026cafa06adc63055bd0fc562e", "title": "A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61df/bdfe718aca026cafa06adc63055bd0fc562e.pdf"], "doi": []}, {"id": "79931447522097044cbc89e4bc2f69dd6e8f0e58", "title": "Person Re-identification by Multi-hypergraph Fusion", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7560601", "http://doi.org/10.1109/TNNLS.2016.2602082", "https://www.ncbi.nlm.nih.gov/pubmed/28113383"]}, {"id": "314142838289cac416098cbc2bbe796dcbd2357b", "title": "Fusion of Interest Point/Image based descriptors for efficient person re-identification", "addresses": [{"name": "University of Paris-Saclay", "source_name": "SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France", "street_adddress": "Courcouronnes, 9 Rue Charles Fourier, 91000 \u00c9vry, France", "lat": "48.62468830", "lng": "2.44325110", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489111", "http://doi.org/10.1109/IJCNN.2018.8489111"]}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "012cdba79f672e45240791d6c52f213640347b54", "title": "Cross-view transformation based sparse reconstruction for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900161", "http://doi.org/10.1109/ICPR.2016.7900161"]}, {"id": "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "title": "Improving Person Re-identification via Pose-Aware Multi-shot Matching", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cho_Improving_Person_Re-Identification_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780520", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.151", "http://doi.org/10.1109/CVPR.2016.151"]}, {"id": "24e6a28c133b7539a57896393a79d43dba46e0f6", "title": "Robust Bayesian method for simultaneous block sparse signal recovery with applications to face recognition", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02057.pdf"], "doi": []}, {"id": "589d06db45e2319b29fc96582ea6c8be369f57ed", "title": "Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/589d/06db45e2319b29fc96582ea6c8be369f57ed.pdf"], "doi": []}, {"id": "c8c714c100a754baf7d86d240ec35207fcf84b06", "title": "Person Re-identification Meets Image Search.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02171.pdf"], "doi": []}, {"id": "f622efd8f7ecdad1b5352ce6d8677f44638425da", "title": "Exploiting multiple detections to learn robust brightness transfer functions in re-identification systems", "addresses": [{"name": "Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy", "street_adddress": "Genoa, Metropolitan City of Genoa, Italy", "lat": "44.40564990", "lng": "8.94625600", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351218", "http://doi.org/10.1109/ICIP.2015.7351218"]}, {"id": "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "title": "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240622"]}, {"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "title": "Person Re-identification by Video Ranking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf"], "doi": []}, {"id": "4622b82a8aff4ac1e87b01d2708a333380b5913b", "title": "Multi-label CNN based pedestrian attribute learning for soft biometrics", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICB2015/Zhu-ICB-15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139070", "http://doi.org/10.1109/ICB.2015.7139070"]}, {"id": "9d6a35541f388db3f4ccf4c457e8ba23eb463654", "title": "Local region partition for person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4817-4"]}, {"id": "df6934f32d0b9810ba29a8155a7712ed1155cf9b", "title": "Tracklet and Signature Representation for Multi-Shot Person Re-Identification", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570441"]}, {"id": "f63d5ff1f11a72bb1ea97996f54a60543312f25e", "title": "Margin-Embedding Canonical Correlation Analysis with Feature Selection for Person Re-Identification", "addresses": [{"name": "Science and Technology on Parallel and Distributed Laboratory, NUDT, Changsha, China", "source_name": "Science and Technology on Parallel and Distributed Laboratory, NUDT, Changsha, 410073, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "edu", "country": "China"}, {"name": "State Key Laboratory of High Performance Computing, NUDT, Changsha, China", "source_name": "State Key Laboratory of High Performance Computing, NUDT, Changsha, 410073, China", "street_adddress": "Pailou Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China, 410012", "lat": "28.17837200", "lng": "112.94713400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451634"]}, {"id": "75a92d92ee59555c847973a7422d7356514cde2d", "title": "Exploiting Multiple Detections for Person Re-Identification", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/75a9/2d92ee59555c847973a7422d7356514cde2d.pdf"], "doi": []}, {"id": "974b9f0af3af675c092b96e7ac68e391cffdcf49", "title": "Person Re-identification Using Data-Driven Metric Adaptation", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/974b/9f0af3af675c092b96e7ac68e391cffdcf49.pdf"], "doi": []}, {"id": "813cc31130ceab1668da1ac6646eea4b6a4be6b6", "title": "A new deep representation for large-scale scene classification", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Zhejiang Huayun, Zhejiang, China", "source_name": "Zhejiang Huayun, Zhejiang, China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5322-5"]}, {"id": "95a7ce2163b3fbd49bb8d0813a9f67e651bea3a5", "title": "Coupled feature spaces learning with joint graph regularization for person re-identification", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7804501", "http://doi.org/10.1109/BESC.2016.7804501"]}, {"id": "54be7b76110de37a8315bad7a4b0cda3bdaace76", "title": "Person Reidentification Using Deep Convnets With Multitask Learning", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pure.qub.ac.uk/portal/files/106210265/bare_jrnl_no_copyright_notice.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734118,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600455", "http://doi.org/10.1109/TCSVT.2016.2619498"]}, {"id": "4679f58139f1be2aab2598378555f277bc299d2a", "title": "Online learning of dynamic multi-view gallery for person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3015-5"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "b866bafa296ae836726a8a1df78639ad9533623b", "title": "Occlusion detector using convolutional neural network for person re-identification", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217564", "http://doi.org/10.1109/ICCAIS.2017.8217564"]}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "1a0a06e659eb075d414286d61bd36931770db799", "title": "Relaxed pairwise learned metric for person re-identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/hirzer_eccv_2012.pdf", "http://lrs.icg.tugraz.at/pubs/hirzer_eccv_2012_poster.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/hirzer_eccv_2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33783-3_56"]}, {"id": "add34d4cbb4ea6c7aba4d4149a8ddaa5c2a00f40", "title": "Person Re-identification Based on Human Body Parts Signature", "addresses": [{"name": "Beijing University of Posts and Telecomm.", "source_name": "Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China", "street_adddress": "10 Xitucheng Rd, BeiTaiPingZhuang, Haidian Qu, Beijing Shi, China, 100876", "lat": "39.96279600", "lng": "116.35810300", "type": "edu", "country": "China"}, {"name": "Shanghai Research Institute of China Telecom. Corporation Limited", "source_name": "Shanghai Research Institute of China Telecom. Corporation Limited", "street_adddress": "1835 Pudong S Rd, Pudong Xinqu, Shanghai Shi, China, 200122", "lat": "31.21619700", "lng": "121.51940300", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659035"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "29401a5ad840cfa2c525003815149d62399e91d1", "title": "Person Reidentification by Minimum Classification Error-Based KISS Metric Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6824754", "http://doi.org/10.1109/TCYB.2014.2323992", "https://www.ncbi.nlm.nih.gov/pubmed/25486658"]}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "639f0d9e9dacc3d6f91aa2b1a9b9152220c24789", "title": "Cross-view analysis by multi-feature fusion for person re-identification", "addresses": [{"name": "Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China", "source_name": "Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877806"]}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "a1e14192035fd64425840d613450d272c43dd39f", "title": "Person re-identification by the marriage of KISS metric learning and post-rank optimization: KISSPOP", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808515"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "a051854861453ae8a5e32ead7deed628c52f7fc5", "title": "Space-time Histograms And Their Application To Person Re-identification In TV Shows", "addresses": [{"name": "CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France", "source_name": "CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France", "street_adddress": "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "lat": "50.60971560", "lng": "3.13728330", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749332"]}, {"id": "9c675774d49be7ba428c80142cb63ed4267d3c46", "title": "Low illumination person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6239-3"]}, {"id": "9ab57be9cd26652fcc02ce994ee53ede05cfa79c", "title": "Online learning on incremental distance metric for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7090533", "http://doi.org/10.1109/ROBIO.2014.7090533"]}, {"id": "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "title": "Dynamic Label Graph Matching for Unsupervised Video Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09297.pdf"], "doi": []}, {"id": "821fb8b05108b7ce5312bc5cac3b0e5d56e279ab", "title": "Specific Person Retrieval via Incomplete Text Description", "addresses": [{"name": "Jiujiang University", "source_name": "Jiujiang University, Jiujiang, China", "street_adddress": "17 Lufeng Rd, Xunyang Qu, Jiujiang Shi, Jiangxi Sheng, China, 332000", "lat": "29.72004900", "lng": "115.99882500", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749347"]}, {"id": "097f482c548075305b5866d7d0fde7b67c30c52d", "title": "Unsupervised Learning of Generative Topic Saliency for Person Re-identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/097f/482c548075305b5866d7d0fde7b67c30c52d.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "afd492a598476b5a9b13e2b6d28a76b0707c0a35", "title": "Open-set Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1408.0872.pdf"], "doi": []}, {"id": "c25a71d01255b96c08dc36e79dc7200347574a04", "title": "Multi-shot person re-identification using a novel video covariance approach", "addresses": [{"name": "Sfax University", "source_name": "Laboratory of Computer and Embedded Systems, Sfax University, Sfax, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019640"]}, {"id": "b9f65f3ea5aef51e7955e1972aefc1dddb400b59", "title": "Weighted hybrid features for person re-identification", "addresses": [{"name": "National University of Sciences and Technology", "source_name": "National University of Sciences and Technology", "street_adddress": "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "33.64434700", "lng": "72.98850790", "type": "edu", "country": "Pakistan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310107", "http://doi.org/10.1109/IPTA.2017.8310107"]}, {"id": "447848afc79a7f78be49450cd330bfdaabdd64d3", "title": "Incremental Kernel Null Foley-Sammon Transform for Person Re-identification", "addresses": [{"name": "Aviation University of Airforce", "source_name": "Aviation University of Airforce, Changchun, 130022, China", "street_adddress": "Fanrong Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130022", "lat": "43.83983040", "lng": "125.32018170", "type": "mil", "country": "China"}, {"name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "source_name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546301"]}, {"id": "167ef72a08832f02e0bb4bb60b61b44adca4f804", "title": "People tracking in multi-camera systems: a review", "addresses": [{"name": "Aix-Marseille University", "source_name": "LSIS - UMR CNRS 7296, Aix-Marseille University, Marseille, France", "street_adddress": "Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France", "lat": "43.29362100", "lng": "5.35806600", "type": "edu", "country": "France"}, {"name": "Toulon University", "source_name": "SeaTech School, Toulon University, La Garde, France", "street_adddress": "\u00c9cole d\u2019Ing\u00e9nieurs SeaTech - Universit\u00e9 de Toulon, Avenue de l'Universit\u00e9, 83130 La Garde, France", "lat": "43.13643020", "lng": "6.01254200", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6638-5"]}, {"id": "2dd2c7602d7f4a0b78494ac23ee1e28ff489be88", "title": "Large scale metric learning from equivalence constraints", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/koestinger_cvpr_2012.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/koestinger_cvpr_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247939", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247939", "http://doi.org/10.1109/CVPR.2012.6247939"]}, {"id": "0e46943b2b12a8df6a62202651555a1d464cebec", "title": "Person Re-identification by Efficient Impostor-Based Metric Learning", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/hirzer_avss_2012.pdf", "http://lrs.icg.tugraz.at/pubs/hirzer_avss_2012_slides.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/hirzer_avss_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.55", "http://doi.org/10.1109/AVSS.2012.55"]}, {"id": "aa8447c65f93670820124e0a99a2b5e3536700be", "title": "Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489698", "http://doi.org/10.1109/IJCNN.2018.8489698"]}, {"id": "9125903bf7aa68920fdca8296f703b9013a877ed", "title": "Deep spatial pyramid for person re-identification", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170814145721/Deep-Spatial-Pyramid-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078492", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078492", "http://doi.org/10.1109/AVSS.2017.8078492"]}, {"id": "7cd5d7f8295b219b029a4231ae5cffb261e00ebe", "title": "Early Active Learning with Pairwise Constraint for Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7cd5/d7f8295b219b029a4231ae5cffb261e00ebe.pdf"], "doi": []}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "e7397f7f0e83494825d63b75bdd40c3879f369cd", "title": "Open-world Person Re-Identification by Multi-Label Assignment Inference", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e739/7f7f0e83494825d63b75bdd40c3879f369cd.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "6c572562a906f6c94d8f2e91895c161cbb0fa4cc", "title": "Multi-Channel Pyramid Person Matching Network for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02558.pdf"], "doi": []}, {"id": "bfec95482dc40936cbb33d386890aad48483adc4", "title": "An ensemble of invariant features for person re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "ETRI, Korea", "source_name": "SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340791", "http://doi.org/10.1109/MMSP.2015.7340791"]}, {"id": "18625d8895de791f01a6cc2754c9ac50128f4110", "title": "Combining Descriptive and Discriminative Information for Person Re-Identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1862/5d8895de791f01a6cc2754c9ac50128f4110.pdf"], "doi": []}, {"id": "d1dd0c714950cbd89f76ec6b039201eadf74cade", "title": "Person Re-identification Using Robust Brightness Transfer Functions Based on Multiple Detections", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d1dd/0c714950cbd89f76ec6b039201eadf74cade.pdf"], "doi": []}, {"id": "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "title": "A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00975.pdf"], "doi": []}, {"id": "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "title": "A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410791"]}, {"id": "3ba5aa0995f129d2854d9690adb6d982bba4e675", "title": "Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://or.nsfc.gov.cn/bitstream/00001903-5/153042/1/1000013951815.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_076.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_076_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_076_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Jing_Super-Resolution_Person_Re-Identification_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7812766", "http://doi.org/10.1109/TIP.2017.2651364", "https://doi.org/10.1109/CVPR.2015.7298669", "https://www.ncbi.nlm.nih.gov/pubmed/28092535", "https://www.wikidata.org/entity/Q36250611"]}, {"id": "12bce6e2db10faa4f370f9e40a6084296080b5cb", "title": "Learning to rank in person re-identification with metric ensembles", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01543.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "f4c0114443cb38a20fc6bb2f1839c45ae52dada6", "title": "Dynamics-Based Invariants for Video Analytics", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f4c0/114443cb38a20fc6bb2f1839c45ae52dada6.pdf"], "doi": []}, {"id": "0f57f91ab0bffdb2750cf52a9b2e4d8daf0abaa4", "title": "People re-identification and tracking from multiple cameras: A review", "addresses": [{"name": "Institute of Intelligent Systems for Automation, Bari, Italy", "source_name": "Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY", "street_adddress": "Via Giovanni Amendola, 122 D/O, 70126 Bari BA, Italy", "lat": "41.11259400", "lng": "16.88297200", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6467181", "http://doi.org/10.1109/ICIP.2012.6467181"]}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "84f047ff1665f7fdb7653047caf4d43c2c9576c2", "title": "Person re-identification with pre-trained deep learning models and attribute correlations", "addresses": [{"name": "University of Information Technology", "source_name": "Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam", "street_adddress": "Khu ph\u1ed1 6 P, Vietnam", "lat": "10.87030000", "lng": "106.80345130", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886726"]}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "f62d71e701c9fd021610e2076b5e0f5b2c7c86ca", "title": "Mahalanobis Distance Learning for Person Re-identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}, {"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f62d/71e701c9fd021610e2076b5e0f5b2c7c86ca.pdf"], "doi": []}, {"id": "92166eb883b0505040c2d61c758985e5ec051f83", "title": "Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07528.pdf"], "doi": []}, {"id": "3a0425c25beea6c4c546771adaf5d2ced4954e0d", "title": "Domain Adaptation in Computer Vision Applications", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-58347-1", "https://link.springer.com/book/10.1007/978-3-319-58347-1"]}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "title": "Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05799.pdf"], "doi": []}, {"id": "1c0f3a0fe2369e5357728ff81b6812e952f6337d", "title": "Multimodal person re-identification using RGB-D sensors and a transient identification database", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2013", "pdf": ["http://vbn.aau.dk/files/210202605/personRe_ID.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6547322", "http://doi.org/10.1109/IWBF.2013.6547322"]}, {"id": "765ec537eebe7ff30d0c298fe15b1c3475cbdb98", "title": "Person Re-Identification by Regularized Smoothing KISS Metric Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://vahabonline.com/wp-content/uploads/2014/10/Person-Re-Identification-by.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6490028", "http://doi.org/10.1109/TCSVT.2013.2255413"]}, {"id": "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "title": "Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6409-3"]}, {"id": "a0ff4d516c81189fe0719f03f5caebe31d70e0fb", "title": "Person Re-identification by encoding free energy feature maps", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2503-y"]}, {"id": "0f18522f7cc5068a2dc89e28dd41054384fab289", "title": "Improving person re-identification by soft biometrics based reranking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_icdsc2.pdf", "http://www.ee.ucr.edu/~lan/papers/ANICDSC13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778216", "http://doi.org/10.1109/ICDSC.2013.6778216"]}, {"id": "15180235b45506f87057f53d688729fbd9f2e291", "title": "A new method of video-surveillance data analytics for the security in camera networks", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "University of Technology of Troyes", "source_name": "Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325928"]}, {"id": "0318c74b1cdec63de4c9577e9e600a48241adfc2", "title": "Sparse re-id: Block sparsity for person re-identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-msf15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W14/papers/Karanam_Sparse_Re-Id_Block_2015_CVPR_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-msf15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301392", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301392", "http://doi.org/10.1109/CVPRW.2015.7301392"]}, {"id": "1ecbcdf1ff0b78170b39985a26a7ab034ab73c60", "title": "Multi-view based coupled dictionary learning for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304357", "http://doi.org/10.1109/SPAC.2017.8304357"]}, {"id": "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "title": "Independent metric learning with aligned multi-part features for video-based person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-7119-6"]}, {"id": "0a103350842cca3794a784fb04ed70ca78e7f29d", "title": "A method of multi-criteria set recognition based on deep feature representation", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5385-3"]}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "title": "Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1afd/c0b42d25df25a7cd4b304493e9b521c84f0f.pdf"], "doi": []}, {"id": "44347819fd94b20676862181ac4de55a5ca47a0c", "title": "A complete person re-identification model using Kernel-PCA-based Gabor-filtered hybrid descriptors", "addresses": [{"name": "Jyothi Institute of Technology, Bengaluru, India", "source_name": "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "street_adddress": "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "lat": "12.84122790", "lng": "77.51195860", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-018-0153-3"]}, {"id": "61f56afc7713ebfacfe382d1824966cb9b967d34", "title": "An Ensemble of Invariant Features for Person Reidentification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Huawei Research and Development, Santa Clara, CA", "source_name": "Huawei Research and Development, Santa Clara, CA, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779129", "http://doi.org/10.1109/TCSVT.2016.2637818"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "700bafb57112febd5d5712f474b0ecc39379320c", "title": "Deep Deformable Patch Metric Learning for Person Re-Identification", "addresses": [{"name": "Disney Research, Pittsburgh, PA, USA", "source_name": "Disney Research, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20171103171212/Deep-Deformable-Patch-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076890", "http://doi.org/10.1109/TCSVT.2017.2765242"]}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "3c71475ac56fe2875de2a61254ea4f8636a1d971", "title": "Person re-identification with content and context re-ranking", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://multimedia.whu.edu.cn/tuanduijieshao/publications/2014/11.pdf"], "doi": ["http://doi.org/10.1007/s11042-014-1949-7"]}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "60593c176ba39e8cb63ba6a7bf936553984bb67c", "title": "From Categories to Individuals in Real Time -- A Unified Boosting Approach", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/45540/1/cvpr_submission.pdf", "http://vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/Data/CVPR2014_HALL.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hall_From_Categories_to_2014_CVPR_paper.pdf", "http://www.vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/Data/CVPR2014_HALL.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909424", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.30", "http://doi.org/10.1109/CVPR.2014.30"]}, {"id": "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "title": "P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025424", "http://doi.org/10.1109/TCSVT.2017.2748698"]}, {"id": "c1660197f94786364e624efed4ba03c0d8ab6161", "title": "Robust dictionary learning with graph regularization for unsupervised person re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5202-z"]}, {"id": "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "title": "Attributes co-occurrence pattern mining for video-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078469", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078469", "http://doi.org/10.1109/AVSS.2017.8078469"]}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "808ed09fc6d56aa221e95e82d3ed37a9cce1da88", "title": "Datum-Adaptive Local Metric Learning for Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001603", "http://doi.org/10.1109/LSP.2014.2387847"]}, {"id": "f9824a85f30c687f7b3a3fbf25f842d3d87e77ea", "title": "Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning", "addresses": [{"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8023775", "http://doi.org/10.1109/TNNLS.2017.2736640", "https://www.ncbi.nlm.nih.gov/pubmed/28880193", "https://www.wikidata.org/entity/Q47696400"]}, {"id": "76977a8e7afd645e83d3e5aaca47a44922188d47", "title": "Reference-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_avss.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/Reference-Based%20Person%20Re-Identification13.pdf", "http://www.ee.ucr.edu/~lan/papers/AVSS13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636647", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636647", "http://doi.org/10.1109/AVSS.2013.6636647"]}, {"id": "1b93698c1784db4abf72b500e51d4806e6430522", "title": "Re-id: Hunting Attributes in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1b93/698c1784db4abf72b500e51d4806e6430522.pdf"], "doi": []}, {"id": "5084cf08beb04ad91ef3c5649077255097d0c5d9", "title": "Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8249811", "http://doi.org/10.1109/ACCESS.2018.2790969"]}, {"id": "22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b", "title": "A Database for Person Re-Identification in Multi-Camera Surveillance Networks", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411689"]}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "ffe3d6fcfee0378e7afa0eb334a454144b5bd272", "title": "Semi-Coupled Dictionary Learning With Relaxation Label Space Transformation for Video-Based Person Re-Identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286855", "http://doi.org/10.1109/ACCESS.2018.2803789"]}, {"id": "cc9057d2762e077c53e381f90884595677eceafa", "title": "On the Exploration of Joint Attribute Learning for Person Re-identification", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cc90/57d2762e077c53e381f90884595677eceafa.pdf"], "doi": []}, {"id": "45269e9746a5bd45b7a329ba1116622dba2e1ac1", "title": "Camera compensation using feature projection matrix for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://multimedia.whu.edu.cn/group/publications/2013/8.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607482", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607482", "http://doi.org/10.1109/ICME.2013.6607482"]}, {"id": "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "title": "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0991-0"]}, {"id": "a19a5a604e07c525f9a8969c05f1c9ed5b497053", "title": "Person re-identification across multi-camera system based on local descriptors", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6470137", "http://ieeexplore.ieee.org/document/6470137/"]}, {"id": "329e16cd476c958d1de8af89dee3ac0c5007e25b", "title": "Body Parts Synthesis for Cross-Quality Pose Estimation", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245864"]}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "0611dae4ae932e0c5f28f08676d234dd9233732f", "title": "Challenge of multi-camera tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1702.01507.pdf"], "doi": []}, {"id": "2de8508b33fe3ee290f94339a2f78f373e83b21d", "title": "Multi-Level Common Space Learning for Person Re-Identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7876753", "http://doi.org/10.1109/TCSVT.2017.2680118"]}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "92dbaaabb91d14ec71843970c604303680c26695", "title": "Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296253", "http://doi.org/10.1109/ICIP.2017.8296253"]}, {"id": "02b33c654aa475f400552bf0743d8d2819e2c2bb", "title": "Two-stage appearance-based re-identification of humans in low-resolution videos", "addresses": [{"name": "Fraunhofer Institute of Optronics, System Technologies and Image Exploitation", "source_name": "Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6412619", "http://doi.org/10.1109/WIFS.2012.6412619"]}, {"id": "8e346f6cb75fa50e0c4e8fee4f198788b91569e1", "title": "Collaborative Networks for Person Verification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132385"]}, {"id": "7b6dc0a4feb3c940618f6c011ee1b75089e3b07a", "title": "Metric learning with trace-norm regularization for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025494", "http://doi.org/10.1109/ICIP.2014.7025494"]}, {"id": "ac5c5be6234c459fedea5d66fd34e916e4730949", "title": "Body structure based triplet Convolutional Neural Network for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001772.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952461", "http://doi.org/10.1109/ICASSP.2017.7952461"]}, {"id": "774b649c75078e10759b3b6c8ea581e68fc45a40", "title": "Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2c8a/064665c280942ba717a46c590b4735a8fc1e.pdf"], "doi": []}, {"id": "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "title": "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/PengEtAl_CVPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.146", "http://doi.org/10.1109/CVPR.2016.146"]}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "586bfd960cbdba91eecbb06de994dacd38b9ab0f", "title": "Unsupervised Surveillance Video Retrieval Based on Human Action and Appearance", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/586b/fd960cbdba91eecbb06de994dacd38b9ab0f.pdf"], "doi": []}, {"id": "e0c6748799529ee035b21f040187d1e6df232624", "title": "Temporally aligned pooling representation for video-based person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533168", "http://doi.org/10.1109/ICIP.2016.7533168"]}, {"id": "c58a68628745ad189e47dcd956c7e23dc831da1f", "title": "Camera Compensation Using a Feature Projection Matrix for Person Reidentification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6739115", "http://doi.org/10.1109/TCSVT.2014.2305519"]}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "title": "Attention-based Few-Shot Person Re-identification Using Meta Learning", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09613.pdf"], "doi": []}, {"id": "64c1d9a031ec0e6785dc92edc0d00cc0802e32b0", "title": "Key Person Aided Re-identification in Partially Ordered Pedestrian Set", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.10017.pdf"], "doi": []}, {"id": "4469d0d0ac2f6f0221dc865b132958df33faa95e", "title": "Region-Based Interactive Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://mmap.whu.edu.cn/wp-content/uploads/publications/2014/wz_2014PCM.pdf", "http://multimedia.whu.edu.cn/group/MAP/personalpage/wz_pdf/PCM2014%20V12.pdf", "http://multimedia.whu.edu.cn/group/publications/2014/wz_2014PCM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-13168-9_1", "http://www.escience.cn/system/download/74305"]}, {"id": "e56f2c9c0a2cf1db7ec49527cb70b345ec71cfbd", "title": "Person re-identification using a patch-based appearance model", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532460", "http://doi.org/10.1109/ICIP.2016.7532460"]}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "22f21d58c6aecdb4f57c50fa9eb4952643eec0e9", "title": "Domain Transfer Support Vector Ranking for Person Re-identification without Target Camera Label Information", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://stat.rutgers.edu/home/jma/publications/DTPRID_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Ma_Domain_Transfer_Support_2013_ICCV_paper.pdf", "http://www.stat.rutgers.edu/home/jma/publications/DTPRID_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751555", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.443", "http://doi.org/10.1109/ICCV.2013.443"]}, {"id": "e7d840cf207802918e5b09af0a650b8f38f824a8", "title": "Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03989.pdf"], "doi": []}, {"id": "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "title": "Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4649-2"]}, {"id": "37ba12271d09d219dd1a8283bc0b4659faf3a6c6", "title": "Domain transfer for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2510658"]}, {"id": "f89e5b1f61b221c7b00db55b64239a28f8ba9fe0", "title": "Ensemble Learning-Based Person Re-identification with Multiple Feature Representations", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f89e/5b1f61b221c7b00db55b64239a28f8ba9fe0.pdf"], "doi": []}, {"id": "e5a9b24056782a343ddc903aebc21e6c277a6b2d", "title": "People re-identification using two-stage transfer metric learning", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.mva-org.jp/Proceedings/2015USB/papers/15-03.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153260", "http://doi.org/10.1109/MVA.2015.7153260"]}, {"id": "221c18238b829c12b911706947ab38fd017acef7", "title": "A Richly Annotated Dataset for Pedestrian Attribute Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07054.pdf"], "doi": []}, {"id": "8e861a7809905a003fffa821574e68ae0c0788e7", "title": "Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/96b3/9fef9ec4cb1c58d93e27f0513f83de9adaa7.pdf"], "doi": []}, {"id": "ad01687649d95cd5b56d7399a9603c4b8e2217d7", "title": "Investigating Open-World Person Re-identification Using a Drone", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ad01/687649d95cd5b56d7399a9603c4b8e2217d7.pdf"], "doi": []}, {"id": "824364e018b4445bcc61ae86e112e68a4a067108", "title": "Person re-identification using sparse representation with manifold constraints", "addresses": [{"name": "Italian Institute of Technology, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy", "street_adddress": "27100 Pavia, Province of Pavia, Italy", "lat": "45.18472480", "lng": "9.15820690", "type": "edu", "country": "Italy"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.hamedkiani.com/uploads/5/1/8/8/51882963/template1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532462", "http://doi.org/10.1109/ICIP.2016.7532462"]}, {"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "title": "Scalable Person Re-identification: A Benchmark", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, {"id": "5438e7c8151311d76ed7335051069c7c07113a12", "title": "Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Greenwich", "source_name": "University of Greenwich, London, United Kingdom", "street_adddress": "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "lat": "51.48293080", "lng": "-0.00699500", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965715", "http://doi.org/10.1109/SERA.2017.7965715"]}, {"id": "19ae769aa067b5bd781882cd18551f7abe01bcf1", "title": "Data Generation for Improving Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123302"]}, {"id": "6448acca3bf4d14ad44756974a6486a317095a54", "title": "Deep multi-instance learning for end-to-end person re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4896-2"]}, {"id": "c9018677ec5bf65d92fd9fefdbd32c4e292dc2e4", "title": "A fast adaptive spatio-temporal 3D feature for video-based person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533170", "http://doi.org/10.1109/ICIP.2016.7533170"]}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "f49734bc34cb7cc50938a18e72d5fe338fa8a8fd", "title": "Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos", "addresses": [{"name": "Jyothi Institute of Technology, Bengaluru, India", "source_name": "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "street_adddress": "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "lat": "12.84122790", "lng": "77.51195860", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-017-0136-9"]}, {"id": "242e19b95f1cf77a74f1a99a899a8dc7d34f7c10", "title": "Multi-scale 3D Convolution Network for Video Based Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.07468.pdf"], "doi": []}, {"id": "82485c89a6b48077b03b65a774fd5768ea768d4d", "title": "Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03112.pdf"], "doi": []}, {"id": "fccd8c1b41f7f7a91b7bbe896b31fa936b5aacbf", "title": "Deep pedestrian attribute recognition based on LSTM", "addresses": [{"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296261", "http://doi.org/10.1109/ICIP.2017.8296261"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "2c2d2c82fda9f01f37cb86d80f5c0f5e963d68d0", "title": "Evaluation of basic visual features for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7491005"]}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "ac36284cfa95e613f9e726cd017a5dca207fe633", "title": "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7859378", "http://doi.org/10.1109/TIP.2017.2672440", "https://www.ncbi.nlm.nih.gov/pubmed/28237930", "https://www.wikidata.org/entity/Q53478605"]}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "66284b8894bab0165c4210cd2df749f0b015c88e", "title": "Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8e0/0a3fb542d0d6ab090b28aa864de9c262fd40.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "cf203d22a4a292f24cb6eb8bd50d4b0991fdab7d", "title": "Body Part-Based Person Re-identification Integrating Semantic Attributes", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9887-4"]}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "7f02f790f320194d5eccf7665066308e46f5d0e9", "title": "Coupled-View Based Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://multimedia.whu.edu.cn/group/MAP/personalpage/Mang%20Ye's%20Homepage/ym_mmm.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/mmm2015.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/ym_mmm.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-14445-0_10"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "ba32bcea914685f2dacc689b3d9dc070eceae684", "title": "Person Re-Identification by Weighted Integration of Sparse and Collaborative Representation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8070940", "http://doi.org/10.1109/ACCESS.2017.2757028"]}, {"id": "eb51b630b194f6161dadeca54b3d21330cde9ebd", "title": "Video Based Person Re-Identification by Re-Ranking Attentive Temporal Information in Deep Recurrent Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451594"]}, {"id": "76ad6daa899a8657c9c17480e5fc440fda53acec", "title": "A Multi-task Deep Network for Person Re-identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05369.pdf"], "doi": []}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "d8f837265fe76e26c99052229c4997fbec20573a", "title": "View-Adaptive Metric Learning for Multi-view Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d8f8/37265fe76e26c99052229c4997fbec20573a.pdf"], "doi": []}, {"id": "700ae4e8a6e64e08a5d551bf174f31ca20b61e18", "title": "Phasic maximal and local maximal occurrence representation for video-based person re-identification", "addresses": [{"name": "PLA University of Science and Technology", "source_name": "PLA University of Science and Technology, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8230298"]}, {"id": "75150b16cee83641f01074568fe4b2d2eb3d0a31", "title": "Sparse coding with cross-view invariant dictionaries for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4893-5"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "paper": {"key": "prid", "name": "PRID", "title": "Person Re-identification by Descriptive and Discriminative Classification", "year": "2011"}, "address": {}, "citations": [{"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "ae8febda8de382422962c4ff73f87d92c5e029df", "title": "Human recognition for following robots with a Kinect sensor", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7866511", "http://doi.org/10.1109/ROBIO.2016.7866511"]}, {"id": "df4525d7d99f7237c864adbcb2dab30d8f7447e0", "title": "Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification", "addresses": [{"name": "Universidade Federal de Minas Gerais, Brazil", "source_name": "Universidade Federal de Minas Gerais, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06969.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "c458db5d616058fbd9de19acc6c82827396cf195", "title": "Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-iccv15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410870", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.513", "http://doi.org/10.1109/ICCV.2015.513"]}, {"id": "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "title": "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "addresses": [{"name": "London, United Kingdom", "source_name": "London, United Kingdom", "street_adddress": "London, Greater London, England, SW1A 2DU, UK", "lat": "51.50732190", "lng": "-0.12764740", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7970176"]}, {"id": "c7ec456099ae2d0eee073ca1d546d7ca57dd4a85", "title": "Transferring clothing parsing from fashion dataset to surveillance", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001667.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952440", "http://doi.org/10.1109/ICASSP.2017.7952440"]}, {"id": "9f1b39e8d157b74181c666e85e5d55550d762409", "title": "Three-Stream Convolutional Networks for Video-based Person Re-Identification", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01652.pdf"], "doi": []}, {"id": "de02043fd479a2bcf23d30ab4496cc4e0d84f699", "title": "Zero-Shot Person Re-identification via Cross-View Consistency", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346474", "http://doi.org/10.1109/TMM.2015.2505083"]}, {"id": "8899b274fdb4ff77de40a15a958ab5ea4b4a6477", "title": "Deep spatio-temporal network for accurate person re-identification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001673"]}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "97527b3c58591926800e3586e13d99a8cf5b17ff", "title": "Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Technology, Princeton, NJ, USA", "source_name": "Siemens Corporate Technology, Princeton, NJ, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-tcsvt17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7994636", "http://doi.org/10.1109/TCSVT.2017.2732822"]}, {"id": "b33bbdac96c3540ebb07c3655643e6badc368c59", "title": "MultiMedia Modeling", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Shanghai Jitotong University", "source_name": "Shanghai Jitotong University, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "University of Newcastle", "source_name": "University of Newcastle", "street_adddress": "University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia", "lat": "-33.35788990", "lng": "151.37834708", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-14442-9"]}, {"id": "b7bc6a2dfe99668457b67007400f5ab760386d0c", "title": "A Siamese inception architecture network for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0843-5"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "9f1ce2cb2c0e7e7ddf620cc59a7342bc04990efa", "title": "An integrated framework for video surveillance in complex environments", "addresses": [{"name": "BV-Tech Ricerca, Rovereto (Italy)", "source_name": "BV-Tech Ricerca, Rovereto (Italy)", "street_adddress": "Via Zeni Fortunato, 8, 38068 Rovereto TN, Italy", "lat": "45.88964970", "lng": "11.03188280", "type": "edu", "country": "Italy"}, {"name": "DISI - University of Trento", "source_name": "DISI - University of Trento, Trento (Italy)", "street_adddress": "Via Sommarive, 9, 38123 Povo,Trento TN, Italy", "lat": "46.06698580", "lng": "11.14982180", "type": "edu", "country": "Italy"}, {"name": "FBK Trento", "source_name": "FBK Trento (Italy)", "street_adddress": "Via Santa Croce, 77, 38122 Trento TN, Italy", "lat": "46.06273420", "lng": "11.12441070", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7580834", "http://doi.org/10.1109/ISC2.2016.7580834"]}, {"id": "7346838bcd4c372fe79cb85ac519e0b4f06fd7b5", "title": "LOMO3D descriptor for video-based person re-identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309044", "http://doi.org/10.1109/GlobalSIP.2017.8309044"]}, {"id": "e9835bb131287d711e5e5435a5df8ce5302acb31", "title": "Person Re-identification by Unsupervised ` 1 Graph Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e983/5bb131287d711e5e5435a5df8ce5302acb31.pdf"], "doi": []}, {"id": "3c84e2ed018dd1d971b526f87e9d7c1f08e6230f", "title": "Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}, {"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2783286"]}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "53baabad70915a852477c2191b8bdb005b8cc4a5", "title": "Temporal-Enhanced Convolutional Network for Person Re-Identification", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53ba/abad70915a852477c2191b8bdb005b8cc4a5.pdf"], "doi": []}, {"id": "7965b2ce7d64991218515e20fc1fc0459fd20a38", "title": "Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11261.pdf"], "doi": []}, {"id": "d6b2d4f1bc08dc3d3922fb43b1b8e3614349f539", "title": "Bur\u00e7in Buket O\u011ful in partial fulfillment of the requirements for the degree of Master of Science in Information Systems , Middle East Technical", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d6b2/d4f1bc08dc3d3922fb43b1b8e3614349f539.pdf"], "doi": []}, {"id": "589b1677d6de28c47693c5816c32698860c32d10", "title": "Tri-modal Person Re-identification with RGB, Depth and Thermal Features", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2013", "pdf": ["http://vbn.aau.dk/files/210202523/triModalPersonReId.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/Workshops/4990a301.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W13/papers/Mgelmose_Tri-modal_Person_Re-identification_2013_CVPR_paper.pdf", "http://www.maia.ub.es/~sergio/linked/cvpr2013pwt.pdf", "http://www.maia.ub.es/~sergio/linked/cvpr2013trimodalpersonreid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595891", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.52", "http://doi.org/10.1109/CVPRW.2013.52"]}, {"id": "d97094aafbcec8e4cb63098b42a7553ffd2cb854", "title": "Human Re-Identification", "addresses": [{"name": "Siemens Corporate Research, Plainsboro, USA", "source_name": "Siemens Corporate Research, Plainsboro, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-40991-7"]}, {"id": "611849b55ef6b164f21e52cefd05300041e72152", "title": "A MultiTask Deep Network for Person Re-Identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6118/49b55ef6b164f21e52cefd05300041e72152.pdf"], "doi": []}, {"id": "30fdf33bdc29c8bb3a2c5b1ff95ffd351c2f8e21", "title": "Joint instance and feature importance re-weighting for person reidentification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001546.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471936", "http://doi.org/10.1109/ICASSP.2016.7471936"]}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "ccf934a335793fe416b0115183783d2c355b64ed", "title": "Query Based Adaptive Re-ranking for Person Re-identification", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ccf9/34a335793fe416b0115183783d2c355b64ed.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "5ec650d4506ac2bb066760420ee8185c93dbb2c1", "title": "Person re-identification using color name descriptor-based sparse representation", "addresses": [{"name": "Chung-Ang University", "source_name": "Chung-Ang University", "street_adddress": "\uc911\uc559\ub300\ud559\uad50, \uc11c\ub2ec\ub85c15\uae38, \ud751\uc11d\ub3d9, \ub3d9\uc791\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 06981, \ub300\ud55c\ubbfc\uad6d", "lat": "37.50882000", "lng": "126.96190000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7868394"]}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "6782b148bd2de66cd73f3d69f481d40cce866fff", "title": "Robust relationship learning to illumination in a camera network", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8330588"]}, {"id": "61dfbdfe718aca026cafa06adc63055bd0fc562e", "title": "A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61df/bdfe718aca026cafa06adc63055bd0fc562e.pdf"], "doi": []}, {"id": "79931447522097044cbc89e4bc2f69dd6e8f0e58", "title": "Person Re-identification by Multi-hypergraph Fusion", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7560601", "http://doi.org/10.1109/TNNLS.2016.2602082", "https://www.ncbi.nlm.nih.gov/pubmed/28113383"]}, {"id": "314142838289cac416098cbc2bbe796dcbd2357b", "title": "Fusion of Interest Point/Image based descriptors for efficient person re-identification", "addresses": [{"name": "University of Paris-Saclay", "source_name": "SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France", "street_adddress": "Courcouronnes, 9 Rue Charles Fourier, 91000 \u00c9vry, France", "lat": "48.62468830", "lng": "2.44325110", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489111", "http://doi.org/10.1109/IJCNN.2018.8489111"]}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "012cdba79f672e45240791d6c52f213640347b54", "title": "Cross-view transformation based sparse reconstruction for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900161", "http://doi.org/10.1109/ICPR.2016.7900161"]}, {"id": "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "title": "Improving Person Re-identification via Pose-Aware Multi-shot Matching", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cho_Improving_Person_Re-Identification_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780520", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.151", "http://doi.org/10.1109/CVPR.2016.151"]}, {"id": "24e6a28c133b7539a57896393a79d43dba46e0f6", "title": "Robust Bayesian method for simultaneous block sparse signal recovery with applications to face recognition", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02057.pdf"], "doi": []}, {"id": "589d06db45e2319b29fc96582ea6c8be369f57ed", "title": "Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/589d/06db45e2319b29fc96582ea6c8be369f57ed.pdf"], "doi": []}, {"id": "c8c714c100a754baf7d86d240ec35207fcf84b06", "title": "Person Re-identification Meets Image Search.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02171.pdf"], "doi": []}, {"id": "f622efd8f7ecdad1b5352ce6d8677f44638425da", "title": "Exploiting multiple detections to learn robust brightness transfer functions in re-identification systems", "addresses": [{"name": "Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy", "street_adddress": "Genoa, Metropolitan City of Genoa, Italy", "lat": "44.40564990", "lng": "8.94625600", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351218", "http://doi.org/10.1109/ICIP.2015.7351218"]}, {"id": "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "title": "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240622"]}, {"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "title": "Person Re-identification by Video Ranking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf"], "doi": []}, {"id": "4622b82a8aff4ac1e87b01d2708a333380b5913b", "title": "Multi-label CNN based pedestrian attribute learning for soft biometrics", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICB2015/Zhu-ICB-15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139070", "http://doi.org/10.1109/ICB.2015.7139070"]}, {"id": "9d6a35541f388db3f4ccf4c457e8ba23eb463654", "title": "Local region partition for person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4817-4"]}, {"id": "df6934f32d0b9810ba29a8155a7712ed1155cf9b", "title": "Tracklet and Signature Representation for Multi-Shot Person Re-Identification", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570441"]}, {"id": "f63d5ff1f11a72bb1ea97996f54a60543312f25e", "title": "Margin-Embedding Canonical Correlation Analysis with Feature Selection for Person Re-Identification", "addresses": [{"name": "Science and Technology on Parallel and Distributed Laboratory, NUDT, Changsha, China", "source_name": "Science and Technology on Parallel and Distributed Laboratory, NUDT, Changsha, 410073, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "edu", "country": "China"}, {"name": "State Key Laboratory of High Performance Computing, NUDT, Changsha, China", "source_name": "State Key Laboratory of High Performance Computing, NUDT, Changsha, 410073, China", "street_adddress": "Pailou Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China, 410012", "lat": "28.17837200", "lng": "112.94713400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451634"]}, {"id": "75a92d92ee59555c847973a7422d7356514cde2d", "title": "Exploiting Multiple Detections for Person Re-Identification", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/75a9/2d92ee59555c847973a7422d7356514cde2d.pdf"], "doi": []}, {"id": "974b9f0af3af675c092b96e7ac68e391cffdcf49", "title": "Person Re-identification Using Data-Driven Metric Adaptation", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/974b/9f0af3af675c092b96e7ac68e391cffdcf49.pdf"], "doi": []}, {"id": "813cc31130ceab1668da1ac6646eea4b6a4be6b6", "title": "A new deep representation for large-scale scene classification", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Zhejiang Huayun, Zhejiang, China", "source_name": "Zhejiang Huayun, Zhejiang, China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5322-5"]}, {"id": "95a7ce2163b3fbd49bb8d0813a9f67e651bea3a5", "title": "Coupled feature spaces learning with joint graph regularization for person re-identification", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7804501", "http://doi.org/10.1109/BESC.2016.7804501"]}, {"id": "54be7b76110de37a8315bad7a4b0cda3bdaace76", "title": "Person Reidentification Using Deep Convnets With Multitask Learning", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pure.qub.ac.uk/portal/files/106210265/bare_jrnl_no_copyright_notice.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734118,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600455", "http://doi.org/10.1109/TCSVT.2016.2619498"]}, {"id": "4679f58139f1be2aab2598378555f277bc299d2a", "title": "Online learning of dynamic multi-view gallery for person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3015-5"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "b866bafa296ae836726a8a1df78639ad9533623b", "title": "Occlusion detector using convolutional neural network for person re-identification", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217564", "http://doi.org/10.1109/ICCAIS.2017.8217564"]}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "1a0a06e659eb075d414286d61bd36931770db799", "title": "Relaxed pairwise learned metric for person re-identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/hirzer_eccv_2012.pdf", "http://lrs.icg.tugraz.at/pubs/hirzer_eccv_2012_poster.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/hirzer_eccv_2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33783-3_56"]}, {"id": "add34d4cbb4ea6c7aba4d4149a8ddaa5c2a00f40", "title": "Person Re-identification Based on Human Body Parts Signature", "addresses": [{"name": "Beijing University of Posts and Telecomm.", "source_name": "Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China", "street_adddress": "10 Xitucheng Rd, BeiTaiPingZhuang, Haidian Qu, Beijing Shi, China, 100876", "lat": "39.96279600", "lng": "116.35810300", "type": "edu", "country": "China"}, {"name": "Shanghai Research Institute of China Telecom. Corporation Limited", "source_name": "Shanghai Research Institute of China Telecom. Corporation Limited", "street_adddress": "1835 Pudong S Rd, Pudong Xinqu, Shanghai Shi, China, 200122", "lat": "31.21619700", "lng": "121.51940300", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659035"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "29401a5ad840cfa2c525003815149d62399e91d1", "title": "Person Reidentification by Minimum Classification Error-Based KISS Metric Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6824754", "http://doi.org/10.1109/TCYB.2014.2323992", "https://www.ncbi.nlm.nih.gov/pubmed/25486658"]}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "639f0d9e9dacc3d6f91aa2b1a9b9152220c24789", "title": "Cross-view analysis by multi-feature fusion for person re-identification", "addresses": [{"name": "Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China", "source_name": "Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877806"]}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "a1e14192035fd64425840d613450d272c43dd39f", "title": "Person re-identification by the marriage of KISS metric learning and post-rank optimization: KISSPOP", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808515"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "a051854861453ae8a5e32ead7deed628c52f7fc5", "title": "Space-time Histograms And Their Application To Person Re-identification In TV Shows", "addresses": [{"name": "CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France", "source_name": "CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France", "street_adddress": "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "lat": "50.60971560", "lng": "3.13728330", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749332"]}, {"id": "9c675774d49be7ba428c80142cb63ed4267d3c46", "title": "Low illumination person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6239-3"]}, {"id": "9ab57be9cd26652fcc02ce994ee53ede05cfa79c", "title": "Online learning on incremental distance metric for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7090533", "http://doi.org/10.1109/ROBIO.2014.7090533"]}, {"id": "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "title": "Dynamic Label Graph Matching for Unsupervised Video Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09297.pdf"], "doi": []}, {"id": "821fb8b05108b7ce5312bc5cac3b0e5d56e279ab", "title": "Specific Person Retrieval via Incomplete Text Description", "addresses": [{"name": "Jiujiang University", "source_name": "Jiujiang University, Jiujiang, China", "street_adddress": "17 Lufeng Rd, Xunyang Qu, Jiujiang Shi, Jiangxi Sheng, China, 332000", "lat": "29.72004900", "lng": "115.99882500", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749347"]}, {"id": "097f482c548075305b5866d7d0fde7b67c30c52d", "title": "Unsupervised Learning of Generative Topic Saliency for Person Re-identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/097f/482c548075305b5866d7d0fde7b67c30c52d.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "afd492a598476b5a9b13e2b6d28a76b0707c0a35", "title": "Open-set Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1408.0872.pdf"], "doi": []}, {"id": "c25a71d01255b96c08dc36e79dc7200347574a04", "title": "Multi-shot person re-identification using a novel video covariance approach", "addresses": [{"name": "Sfax University", "source_name": "Laboratory of Computer and Embedded Systems, Sfax University, Sfax, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019640"]}, {"id": "b9f65f3ea5aef51e7955e1972aefc1dddb400b59", "title": "Weighted hybrid features for person re-identification", "addresses": [{"name": "National University of Sciences and Technology", "source_name": "National University of Sciences and Technology", "street_adddress": "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "33.64434700", "lng": "72.98850790", "type": "edu", "country": "Pakistan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310107", "http://doi.org/10.1109/IPTA.2017.8310107"]}, {"id": "447848afc79a7f78be49450cd330bfdaabdd64d3", "title": "Incremental Kernel Null Foley-Sammon Transform for Person Re-identification", "addresses": [{"name": "Aviation University of Airforce", "source_name": "Aviation University of Airforce, Changchun, 130022, China", "street_adddress": "Fanrong Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130022", "lat": "43.83983040", "lng": "125.32018170", "type": "mil", "country": "China"}, {"name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "source_name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546301"]}, {"id": "167ef72a08832f02e0bb4bb60b61b44adca4f804", "title": "People tracking in multi-camera systems: a review", "addresses": [{"name": "Aix-Marseille University", "source_name": "LSIS - UMR CNRS 7296, Aix-Marseille University, Marseille, France", "street_adddress": "Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France", "lat": "43.29362100", "lng": "5.35806600", "type": "edu", "country": "France"}, {"name": "Toulon University", "source_name": "SeaTech School, Toulon University, La Garde, France", "street_adddress": "\u00c9cole d\u2019Ing\u00e9nieurs SeaTech - Universit\u00e9 de Toulon, Avenue de l'Universit\u00e9, 83130 La Garde, France", "lat": "43.13643020", "lng": "6.01254200", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6638-5"]}, {"id": "2dd2c7602d7f4a0b78494ac23ee1e28ff489be88", "title": "Large scale metric learning from equivalence constraints", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/koestinger_cvpr_2012.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/koestinger_cvpr_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247939", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247939", "http://doi.org/10.1109/CVPR.2012.6247939"]}, {"id": "0e46943b2b12a8df6a62202651555a1d464cebec", "title": "Person Re-identification by Efficient Impostor-Based Metric Learning", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/hirzer_avss_2012.pdf", "http://lrs.icg.tugraz.at/pubs/hirzer_avss_2012_slides.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/hirzer_avss_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.55", "http://doi.org/10.1109/AVSS.2012.55"]}, {"id": "aa8447c65f93670820124e0a99a2b5e3536700be", "title": "Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489698", "http://doi.org/10.1109/IJCNN.2018.8489698"]}, {"id": "9125903bf7aa68920fdca8296f703b9013a877ed", "title": "Deep spatial pyramid for person re-identification", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170814145721/Deep-Spatial-Pyramid-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078492", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078492", "http://doi.org/10.1109/AVSS.2017.8078492"]}, {"id": "7cd5d7f8295b219b029a4231ae5cffb261e00ebe", "title": "Early Active Learning with Pairwise Constraint for Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7cd5/d7f8295b219b029a4231ae5cffb261e00ebe.pdf"], "doi": []}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "e7397f7f0e83494825d63b75bdd40c3879f369cd", "title": "Open-world Person Re-Identification by Multi-Label Assignment Inference", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e739/7f7f0e83494825d63b75bdd40c3879f369cd.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "6c572562a906f6c94d8f2e91895c161cbb0fa4cc", "title": "Multi-Channel Pyramid Person Matching Network for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02558.pdf"], "doi": []}, {"id": "bfec95482dc40936cbb33d386890aad48483adc4", "title": "An ensemble of invariant features for person re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "ETRI, Korea", "source_name": "SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340791", "http://doi.org/10.1109/MMSP.2015.7340791"]}, {"id": "18625d8895de791f01a6cc2754c9ac50128f4110", "title": "Combining Descriptive and Discriminative Information for Person Re-Identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1862/5d8895de791f01a6cc2754c9ac50128f4110.pdf"], "doi": []}, {"id": "d1dd0c714950cbd89f76ec6b039201eadf74cade", "title": "Person Re-identification Using Robust Brightness Transfer Functions Based on Multiple Detections", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d1dd/0c714950cbd89f76ec6b039201eadf74cade.pdf"], "doi": []}, {"id": "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "title": "A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00975.pdf"], "doi": []}, {"id": "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "title": "A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410791"]}, {"id": "3ba5aa0995f129d2854d9690adb6d982bba4e675", "title": "Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://or.nsfc.gov.cn/bitstream/00001903-5/153042/1/1000013951815.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_076.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_076_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_076_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Jing_Super-Resolution_Person_Re-Identification_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7812766", "http://doi.org/10.1109/TIP.2017.2651364", "https://doi.org/10.1109/CVPR.2015.7298669", "https://www.ncbi.nlm.nih.gov/pubmed/28092535", "https://www.wikidata.org/entity/Q36250611"]}, {"id": "12bce6e2db10faa4f370f9e40a6084296080b5cb", "title": "Learning to rank in person re-identification with metric ensembles", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01543.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "f4c0114443cb38a20fc6bb2f1839c45ae52dada6", "title": "Dynamics-Based Invariants for Video Analytics", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f4c0/114443cb38a20fc6bb2f1839c45ae52dada6.pdf"], "doi": []}, {"id": "0f57f91ab0bffdb2750cf52a9b2e4d8daf0abaa4", "title": "People re-identification and tracking from multiple cameras: A review", "addresses": [{"name": "Institute of Intelligent Systems for Automation, Bari, Italy", "source_name": "Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY", "street_adddress": "Via Giovanni Amendola, 122 D/O, 70126 Bari BA, Italy", "lat": "41.11259400", "lng": "16.88297200", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6467181", "http://doi.org/10.1109/ICIP.2012.6467181"]}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "84f047ff1665f7fdb7653047caf4d43c2c9576c2", "title": "Person re-identification with pre-trained deep learning models and attribute correlations", "addresses": [{"name": "University of Information Technology", "source_name": "Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam", "street_adddress": "Khu ph\u1ed1 6 P, Vietnam", "lat": "10.87030000", "lng": "106.80345130", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886726"]}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "f62d71e701c9fd021610e2076b5e0f5b2c7c86ca", "title": "Mahalanobis Distance Learning for Person Re-identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}, {"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f62d/71e701c9fd021610e2076b5e0f5b2c7c86ca.pdf"], "doi": []}, {"id": "92166eb883b0505040c2d61c758985e5ec051f83", "title": "Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07528.pdf"], "doi": []}, {"id": "3a0425c25beea6c4c546771adaf5d2ced4954e0d", "title": "Domain Adaptation in Computer Vision Applications", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-58347-1", "https://link.springer.com/book/10.1007/978-3-319-58347-1"]}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "title": "Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05799.pdf"], "doi": []}, {"id": "1c0f3a0fe2369e5357728ff81b6812e952f6337d", "title": "Multimodal person re-identification using RGB-D sensors and a transient identification database", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2013", "pdf": ["http://vbn.aau.dk/files/210202605/personRe_ID.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6547322", "http://doi.org/10.1109/IWBF.2013.6547322"]}, {"id": "765ec537eebe7ff30d0c298fe15b1c3475cbdb98", "title": "Person Re-Identification by Regularized Smoothing KISS Metric Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://vahabonline.com/wp-content/uploads/2014/10/Person-Re-Identification-by.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6490028", "http://doi.org/10.1109/TCSVT.2013.2255413"]}, {"id": "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "title": "Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6409-3"]}, {"id": "a0ff4d516c81189fe0719f03f5caebe31d70e0fb", "title": "Person Re-identification by encoding free energy feature maps", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2503-y"]}, {"id": "0f18522f7cc5068a2dc89e28dd41054384fab289", "title": "Improving person re-identification by soft biometrics based reranking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_icdsc2.pdf", "http://www.ee.ucr.edu/~lan/papers/ANICDSC13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778216", "http://doi.org/10.1109/ICDSC.2013.6778216"]}, {"id": "15180235b45506f87057f53d688729fbd9f2e291", "title": "A new method of video-surveillance data analytics for the security in camera networks", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "University of Technology of Troyes", "source_name": "Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325928"]}, {"id": "0318c74b1cdec63de4c9577e9e600a48241adfc2", "title": "Sparse re-id: Block sparsity for person re-identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-msf15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W14/papers/Karanam_Sparse_Re-Id_Block_2015_CVPR_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-msf15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301392", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301392", "http://doi.org/10.1109/CVPRW.2015.7301392"]}, {"id": "1ecbcdf1ff0b78170b39985a26a7ab034ab73c60", "title": "Multi-view based coupled dictionary learning for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304357", "http://doi.org/10.1109/SPAC.2017.8304357"]}, {"id": "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "title": "Independent metric learning with aligned multi-part features for video-based person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-7119-6"]}, {"id": "0a103350842cca3794a784fb04ed70ca78e7f29d", "title": "A method of multi-criteria set recognition based on deep feature representation", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5385-3"]}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "title": "Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1afd/c0b42d25df25a7cd4b304493e9b521c84f0f.pdf"], "doi": []}, {"id": "44347819fd94b20676862181ac4de55a5ca47a0c", "title": "A complete person re-identification model using Kernel-PCA-based Gabor-filtered hybrid descriptors", "addresses": [{"name": "Jyothi Institute of Technology, Bengaluru, India", "source_name": "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "street_adddress": "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "lat": "12.84122790", "lng": "77.51195860", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-018-0153-3"]}, {"id": "61f56afc7713ebfacfe382d1824966cb9b967d34", "title": "An Ensemble of Invariant Features for Person Reidentification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Huawei Research and Development, Santa Clara, CA", "source_name": "Huawei Research and Development, Santa Clara, CA, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779129", "http://doi.org/10.1109/TCSVT.2016.2637818"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "700bafb57112febd5d5712f474b0ecc39379320c", "title": "Deep Deformable Patch Metric Learning for Person Re-Identification", "addresses": [{"name": "Disney Research, Pittsburgh, PA, USA", "source_name": "Disney Research, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20171103171212/Deep-Deformable-Patch-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076890", "http://doi.org/10.1109/TCSVT.2017.2765242"]}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "3c71475ac56fe2875de2a61254ea4f8636a1d971", "title": "Person re-identification with content and context re-ranking", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://multimedia.whu.edu.cn/tuanduijieshao/publications/2014/11.pdf"], "doi": ["http://doi.org/10.1007/s11042-014-1949-7"]}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "60593c176ba39e8cb63ba6a7bf936553984bb67c", "title": "From Categories to Individuals in Real Time -- A Unified Boosting Approach", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/45540/1/cvpr_submission.pdf", "http://vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/Data/CVPR2014_HALL.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hall_From_Categories_to_2014_CVPR_paper.pdf", "http://www.vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/Data/CVPR2014_HALL.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909424", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.30", "http://doi.org/10.1109/CVPR.2014.30"]}, {"id": "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "title": "P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025424", "http://doi.org/10.1109/TCSVT.2017.2748698"]}, {"id": "c1660197f94786364e624efed4ba03c0d8ab6161", "title": "Robust dictionary learning with graph regularization for unsupervised person re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5202-z"]}, {"id": "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "title": "Attributes co-occurrence pattern mining for video-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078469", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078469", "http://doi.org/10.1109/AVSS.2017.8078469"]}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "808ed09fc6d56aa221e95e82d3ed37a9cce1da88", "title": "Datum-Adaptive Local Metric Learning for Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001603", "http://doi.org/10.1109/LSP.2014.2387847"]}, {"id": "f9824a85f30c687f7b3a3fbf25f842d3d87e77ea", "title": "Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning", "addresses": [{"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8023775", "http://doi.org/10.1109/TNNLS.2017.2736640", "https://www.ncbi.nlm.nih.gov/pubmed/28880193", "https://www.wikidata.org/entity/Q47696400"]}, {"id": "76977a8e7afd645e83d3e5aaca47a44922188d47", "title": "Reference-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_avss.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/Reference-Based%20Person%20Re-Identification13.pdf", "http://www.ee.ucr.edu/~lan/papers/AVSS13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636647", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636647", "http://doi.org/10.1109/AVSS.2013.6636647"]}, {"id": "1b93698c1784db4abf72b500e51d4806e6430522", "title": "Re-id: Hunting Attributes in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1b93/698c1784db4abf72b500e51d4806e6430522.pdf"], "doi": []}, {"id": "5084cf08beb04ad91ef3c5649077255097d0c5d9", "title": "Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8249811", "http://doi.org/10.1109/ACCESS.2018.2790969"]}, {"id": "22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b", "title": "A Database for Person Re-Identification in Multi-Camera Surveillance Networks", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411689"]}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "ffe3d6fcfee0378e7afa0eb334a454144b5bd272", "title": "Semi-Coupled Dictionary Learning With Relaxation Label Space Transformation for Video-Based Person Re-Identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286855", "http://doi.org/10.1109/ACCESS.2018.2803789"]}, {"id": "cc9057d2762e077c53e381f90884595677eceafa", "title": "On the Exploration of Joint Attribute Learning for Person Re-identification", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cc90/57d2762e077c53e381f90884595677eceafa.pdf"], "doi": []}, {"id": "45269e9746a5bd45b7a329ba1116622dba2e1ac1", "title": "Camera compensation using feature projection matrix for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://multimedia.whu.edu.cn/group/publications/2013/8.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607482", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607482", "http://doi.org/10.1109/ICME.2013.6607482"]}, {"id": "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "title": "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0991-0"]}, {"id": "a19a5a604e07c525f9a8969c05f1c9ed5b497053", "title": "Person re-identification across multi-camera system based on local descriptors", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6470137", "http://ieeexplore.ieee.org/document/6470137/"]}, {"id": "329e16cd476c958d1de8af89dee3ac0c5007e25b", "title": "Body Parts Synthesis for Cross-Quality Pose Estimation", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245864"]}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "0611dae4ae932e0c5f28f08676d234dd9233732f", "title": "Challenge of multi-camera tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1702.01507.pdf"], "doi": []}, {"id": "2de8508b33fe3ee290f94339a2f78f373e83b21d", "title": "Multi-Level Common Space Learning for Person Re-Identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7876753", "http://doi.org/10.1109/TCSVT.2017.2680118"]}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "92dbaaabb91d14ec71843970c604303680c26695", "title": "Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296253", "http://doi.org/10.1109/ICIP.2017.8296253"]}, {"id": "02b33c654aa475f400552bf0743d8d2819e2c2bb", "title": "Two-stage appearance-based re-identification of humans in low-resolution videos", "addresses": [{"name": "Fraunhofer Institute of Optronics, System Technologies and Image Exploitation", "source_name": "Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6412619", "http://doi.org/10.1109/WIFS.2012.6412619"]}, {"id": "8e346f6cb75fa50e0c4e8fee4f198788b91569e1", "title": "Collaborative Networks for Person Verification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132385"]}, {"id": "7b6dc0a4feb3c940618f6c011ee1b75089e3b07a", "title": "Metric learning with trace-norm regularization for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025494", "http://doi.org/10.1109/ICIP.2014.7025494"]}, {"id": "ac5c5be6234c459fedea5d66fd34e916e4730949", "title": "Body structure based triplet Convolutional Neural Network for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001772.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952461", "http://doi.org/10.1109/ICASSP.2017.7952461"]}, {"id": "774b649c75078e10759b3b6c8ea581e68fc45a40", "title": "Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2c8a/064665c280942ba717a46c590b4735a8fc1e.pdf"], "doi": []}, {"id": "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "title": "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/PengEtAl_CVPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.146", "http://doi.org/10.1109/CVPR.2016.146"]}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "586bfd960cbdba91eecbb06de994dacd38b9ab0f", "title": "Unsupervised Surveillance Video Retrieval Based on Human Action and Appearance", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/586b/fd960cbdba91eecbb06de994dacd38b9ab0f.pdf"], "doi": []}, {"id": "e0c6748799529ee035b21f040187d1e6df232624", "title": "Temporally aligned pooling representation for video-based person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533168", "http://doi.org/10.1109/ICIP.2016.7533168"]}, {"id": "c58a68628745ad189e47dcd956c7e23dc831da1f", "title": "Camera Compensation Using a Feature Projection Matrix for Person Reidentification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6739115", "http://doi.org/10.1109/TCSVT.2014.2305519"]}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "title": "Attention-based Few-Shot Person Re-identification Using Meta Learning", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09613.pdf"], "doi": []}, {"id": "64c1d9a031ec0e6785dc92edc0d00cc0802e32b0", "title": "Key Person Aided Re-identification in Partially Ordered Pedestrian Set", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.10017.pdf"], "doi": []}, {"id": "4469d0d0ac2f6f0221dc865b132958df33faa95e", "title": "Region-Based Interactive Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://mmap.whu.edu.cn/wp-content/uploads/publications/2014/wz_2014PCM.pdf", "http://multimedia.whu.edu.cn/group/MAP/personalpage/wz_pdf/PCM2014%20V12.pdf", "http://multimedia.whu.edu.cn/group/publications/2014/wz_2014PCM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-13168-9_1", "http://www.escience.cn/system/download/74305"]}, {"id": "e56f2c9c0a2cf1db7ec49527cb70b345ec71cfbd", "title": "Person re-identification using a patch-based appearance model", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532460", "http://doi.org/10.1109/ICIP.2016.7532460"]}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "22f21d58c6aecdb4f57c50fa9eb4952643eec0e9", "title": "Domain Transfer Support Vector Ranking for Person Re-identification without Target Camera Label Information", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://stat.rutgers.edu/home/jma/publications/DTPRID_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Ma_Domain_Transfer_Support_2013_ICCV_paper.pdf", "http://www.stat.rutgers.edu/home/jma/publications/DTPRID_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751555", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.443", "http://doi.org/10.1109/ICCV.2013.443"]}, {"id": "e7d840cf207802918e5b09af0a650b8f38f824a8", "title": "Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03989.pdf"], "doi": []}, {"id": "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "title": "Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4649-2"]}, {"id": "37ba12271d09d219dd1a8283bc0b4659faf3a6c6", "title": "Domain transfer for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2510658"]}, {"id": "f89e5b1f61b221c7b00db55b64239a28f8ba9fe0", "title": "Ensemble Learning-Based Person Re-identification with Multiple Feature Representations", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f89e/5b1f61b221c7b00db55b64239a28f8ba9fe0.pdf"], "doi": []}, {"id": "e5a9b24056782a343ddc903aebc21e6c277a6b2d", "title": "People re-identification using two-stage transfer metric learning", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.mva-org.jp/Proceedings/2015USB/papers/15-03.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153260", "http://doi.org/10.1109/MVA.2015.7153260"]}, {"id": "221c18238b829c12b911706947ab38fd017acef7", "title": "A Richly Annotated Dataset for Pedestrian Attribute Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07054.pdf"], "doi": []}, {"id": "8e861a7809905a003fffa821574e68ae0c0788e7", "title": "Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/96b3/9fef9ec4cb1c58d93e27f0513f83de9adaa7.pdf"], "doi": []}, {"id": "ad01687649d95cd5b56d7399a9603c4b8e2217d7", "title": "Investigating Open-World Person Re-identification Using a Drone", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ad01/687649d95cd5b56d7399a9603c4b8e2217d7.pdf"], "doi": []}, {"id": "824364e018b4445bcc61ae86e112e68a4a067108", "title": "Person re-identification using sparse representation with manifold constraints", "addresses": [{"name": "Italian Institute of Technology, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy", "street_adddress": "27100 Pavia, Province of Pavia, Italy", "lat": "45.18472480", "lng": "9.15820690", "type": "edu", "country": "Italy"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.hamedkiani.com/uploads/5/1/8/8/51882963/template1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532462", "http://doi.org/10.1109/ICIP.2016.7532462"]}, {"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "title": "Scalable Person Re-identification: A Benchmark", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, {"id": "5438e7c8151311d76ed7335051069c7c07113a12", "title": "Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Greenwich", "source_name": "University of Greenwich, London, United Kingdom", "street_adddress": "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "lat": "51.48293080", "lng": "-0.00699500", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965715", "http://doi.org/10.1109/SERA.2017.7965715"]}, {"id": "19ae769aa067b5bd781882cd18551f7abe01bcf1", "title": "Data Generation for Improving Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123302"]}, {"id": "6448acca3bf4d14ad44756974a6486a317095a54", "title": "Deep multi-instance learning for end-to-end person re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4896-2"]}, {"id": "c9018677ec5bf65d92fd9fefdbd32c4e292dc2e4", "title": "A fast adaptive spatio-temporal 3D feature for video-based person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533170", "http://doi.org/10.1109/ICIP.2016.7533170"]}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "f49734bc34cb7cc50938a18e72d5fe338fa8a8fd", "title": "Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos", "addresses": [{"name": "Jyothi Institute of Technology, Bengaluru, India", "source_name": "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "street_adddress": "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "lat": "12.84122790", "lng": "77.51195860", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-017-0136-9"]}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "242e19b95f1cf77a74f1a99a899a8dc7d34f7c10", "title": "Multi-scale 3D Convolution Network for Video Based Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.07468.pdf"], "doi": []}, {"id": "82485c89a6b48077b03b65a774fd5768ea768d4d", "title": "Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03112.pdf"], "doi": []}, {"id": "fccd8c1b41f7f7a91b7bbe896b31fa936b5aacbf", "title": "Deep pedestrian attribute recognition based on LSTM", "addresses": [{"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296261", "http://doi.org/10.1109/ICIP.2017.8296261"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "2c2d2c82fda9f01f37cb86d80f5c0f5e963d68d0", "title": "Evaluation of basic visual features for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7491005"]}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "ac36284cfa95e613f9e726cd017a5dca207fe633", "title": "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7859378", "http://doi.org/10.1109/TIP.2017.2672440", "https://www.ncbi.nlm.nih.gov/pubmed/28237930", "https://www.wikidata.org/entity/Q53478605"]}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "66284b8894bab0165c4210cd2df749f0b015c88e", "title": "Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8e0/0a3fb542d0d6ab090b28aa864de9c262fd40.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "cf203d22a4a292f24cb6eb8bd50d4b0991fdab7d", "title": "Body Part-Based Person Re-identification Integrating Semantic Attributes", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9887-4"]}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "7f02f790f320194d5eccf7665066308e46f5d0e9", "title": "Coupled-View Based Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://multimedia.whu.edu.cn/group/MAP/personalpage/Mang%20Ye's%20Homepage/ym_mmm.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/mmm2015.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/ym_mmm.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-14445-0_10"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "ba32bcea914685f2dacc689b3d9dc070eceae684", "title": "Person Re-Identification by Weighted Integration of Sparse and Collaborative Representation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8070940", "http://doi.org/10.1109/ACCESS.2017.2757028"]}, {"id": "eb51b630b194f6161dadeca54b3d21330cde9ebd", "title": "Video Based Person Re-Identification by Re-Ranking Attentive Temporal Information in Deep Recurrent Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451594"]}, {"id": "76ad6daa899a8657c9c17480e5fc440fda53acec", "title": "A Multi-task Deep Network for Person Re-identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05369.pdf"], "doi": []}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "d8f837265fe76e26c99052229c4997fbec20573a", "title": "View-Adaptive Metric Learning for Multi-view Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d8f8/37265fe76e26c99052229c4997fbec20573a.pdf"], "doi": []}, {"id": "700ae4e8a6e64e08a5d551bf174f31ca20b61e18", "title": "Phasic maximal and local maximal occurrence representation for video-based person re-identification", "addresses": [{"name": "PLA University of Science and Technology", "source_name": "PLA University of Science and Technology, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8230298"]}, {"id": "75150b16cee83641f01074568fe4b2d2eb3d0a31", "title": "Sparse coding with cross-view invariant dictionaries for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4893-5"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/final/cuhk_campus_03.json b/site/datasets/final/cuhk_campus_03.json index 483b5ca0..fa4013e2 100644 --- a/site/datasets/final/cuhk_campus_03.json +++ b/site/datasets/final/cuhk_campus_03.json @@ -1 +1 @@ -{"id": "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "dataset": {"key": "cuhk_campus_03", "name_short": "CUHK03 Campus", "name_display": "CUHK03 Campus Dataset", "name_full": "China University of Hong Kong Person Re-identification Dataset \"Campus 03\"", "purpose": "Person re-identification", "comment": "", "funded_by": "Research Grants Council of Hong Kong (Project No. CUHK 417110, CUHK 417011, CUHK 429412)", "license": "", "url": "http://www.ee.cuhk.edu.hk/~xgwang/CUHK_identification.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "Y", "cyberspace": "", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "13,164 ", "videos": "", "identities": "1,360 ", "img_per_person": "", "num_cameras": "6", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "pr_id, ped_detect ", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "Y", "notes": "discrepancey on identity numbers", "derivative_of": ""}, "paper": {"paper_id": "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "key": "cuhk_campus_03", "title": "Human Reidentification with Transferred Metric Learning", "year": "2012", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/liZWaccv12.pdf"], "address": "", "name": "CUHK03 Campus", "doi": ["https://doi.org/10.1007/978-3-642-37331-2_3"]}, "addresses": [], "additional_papers": [{"paper_id": "38b55d95189c5e69cf4ab45098a48fba407609b4", "key": "cuhk_campus_03", "title": "Locally Aligned Feature Transforms across Views", "year": "2013", "pdf": [], "address": "", "name": "CUHK03 Campus", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619305"]}, {"paper_id": "6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3", "key": "cuhk_campus_03", "title": "DeepReID: Deep Filter Pairing Neural Network for Person Re-identification", "year": "2014", "pdf": [], "address": "", "name": "CUHK03 Campus", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909421"]}], "citations": [{"id": "359c2483195a3217095dcf8738abe47181a0fc94", "title": "Person Reidentification via Discrepancy Matrix and Matrix Metric", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://wangzwhu.github.io/home/slides-nj-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8059849", "http://doi.org/10.1109/TCYB.2017.2755044", "https://www.ncbi.nlm.nih.gov/pubmed/28991756"]}, {"id": "79931447522097044cbc89e4bc2f69dd6e8f0e58", "title": "Person Re-identification by Multi-hypergraph Fusion", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7560601", "http://doi.org/10.1109/TNNLS.2016.2602082", "https://www.ncbi.nlm.nih.gov/pubmed/28113383"]}, {"id": "e9e04b36f88199a492db6ce7ffdb4e76dc7cc966", "title": "An Enhanced Deep Convolutional Neural Network for Person Re-Identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing", "source_name": "Academy of Broadcasting Science, Beijing", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551570"]}, {"id": "3fd7bfd90f0dfc3369bfe718e27aff30cf268c23", "title": "Learning Mid-level Filters for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Learning_Mid-level_Filters_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhaoOWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909420", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.26", "http://doi.org/10.1109/CVPR.2014.26"]}, {"id": "808ed09fc6d56aa221e95e82d3ed37a9cce1da88", "title": "Datum-Adaptive Local Metric Learning for Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001603", "http://doi.org/10.1109/LSP.2014.2387847"]}, {"id": "b15cfd1e2f46a943328fa32fe0a571b8f7073b9f", "title": "Person Re-Identification by Deep Learning Muti-Part Information Complementary", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451645", "http://doi.org/10.1109/ICIP.2018.8451645"]}, {"id": "b33bbdac96c3540ebb07c3655643e6badc368c59", "title": "MultiMedia Modeling", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Shanghai Jitotong University", "source_name": "Shanghai Jitotong University, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "University of Newcastle", "source_name": "University of Newcastle", "street_adddress": "University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia", "lat": "-33.35788990", "lng": "151.37834708", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-14442-9"]}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "ac5c5be6234c459fedea5d66fd34e916e4730949", "title": "Body structure based triplet Convolutional Neural Network for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001772.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952461", "http://doi.org/10.1109/ICASSP.2017.7952461"]}, {"id": "754ee07789f6ff28fc121bb9f771895e971ac28c", "title": "Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01719.pdf"], "doi": []}, {"id": "b58f3fb5bd3e36990a7c6a2f8cbb67edeb2ae764", "title": "Person Re-Identification by Optimally Organizing Multiple Similarity Measures", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}, {"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107485", "http://doi.org/10.1109/ACCESS.2017.2771138"]}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "454f403857e487d6a885180e0e0f7216a342fb0e", "title": "Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/454f/403857e487d6a885180e0e0f7216a342fb0e.pdf"], "doi": []}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "d1ba33106567c880bf99daba2bd31fe88df4ecba", "title": "Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03160.pdf"], "doi": []}, {"id": "85cbeac58cb0a6010836ddd8b2d093eabd31767c", "title": "Distance Aggregation based Score Fusion for improving person re-identification", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943446", "http://doi.org/10.1109/THS.2017.7943446"]}, {"id": "76e48cd3b4b25cdb6c094ff660ed8e43be1e2f34", "title": "What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07074.pdf"], "doi": []}, {"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "15d99a8ebf09304916a082a4effdb215ff0a54f0", "title": "Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451494", "http://doi.org/10.1109/ICIP.2018.8451494"]}, {"id": "aa8447c65f93670820124e0a99a2b5e3536700be", "title": "Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489698", "http://doi.org/10.1109/IJCNN.2018.8489698"]}, {"id": "4770f73bc3ad0097fc8cdff3a3f8feaed1060595", "title": "Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric Learning", "addresses": [{"name": "University of Technology, Australia", "source_name": "Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6838984", "http://doi.org/10.1109/TIP.2014.2331755", "https://www.ncbi.nlm.nih.gov/pubmed/24956368", "https://www.wikidata.org/entity/Q46605898"]}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "00a6d711f2bf7974384d2f4b5e61d0bbc493a6b7", "title": "Adaptive Margin Nearest Neighbor for Person Re-Identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Collaborative Innovation Center of Geospatial Technology, Wuhan, China", "source_name": "Collaborative Innovation Center of Geospatial Technology, Wuhan, China", "street_adddress": "Yinghua Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China", "lat": "30.44986200", "lng": "114.26988700", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/00a6/d711f2bf7974384d2f4b5e61d0bbc493a6b7.pdf"], "doi": []}, {"id": "16a61b9b213cf5d9020a3cfdf3c1575b1fac8c07", "title": "Dense invariant feature based support vector ranking for person re-identification", "addresses": [{"name": "Anhui University, Hefei, China", "source_name": "Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University Hefei 230039, China", "street_adddress": "327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.85562500", "lng": "117.27557000", "type": "gov", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418284", "http://doi.org/10.1109/GlobalSIP.2015.7418284"]}, {"id": "f2843da00dc202eb8748b1b690f7b5dd0849af20", "title": "Regularized Bayesian Metric Learning for Person Re-identification", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f284/3da00dc202eb8748b1b690f7b5dd0849af20.pdf"], "doi": []}, {"id": "ad01687649d95cd5b56d7399a9603c4b8e2217d7", "title": "Investigating Open-World Person Re-identification Using a Drone", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ad01/687649d95cd5b56d7399a9603c4b8e2217d7.pdf"], "doi": []}, {"id": "9785429538389146c8061ec856e74e957a246f2d", "title": "DARI: distance metric and representation integration for person verification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04377.pdf"], "doi": []}, {"id": "76977a8e7afd645e83d3e5aaca47a44922188d47", "title": "Reference-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_avss.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/Reference-Based%20Person%20Re-Identification13.pdf", "http://www.ee.ucr.edu/~lan/papers/AVSS13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636647", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636647", "http://doi.org/10.1109/AVSS.2013.6636647"]}, {"id": "37d7cb06c0a1e632dedcc1f23db22cbdc130e6aa", "title": "Pyramid Person Matching Network for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1803.02547.pdf"], "doi": []}, {"id": "3c975c6af75d62336b6d90d2c920f82021726f68", "title": "A verify-correct approach to person re-identification based on Partial Least Squares signatures", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2015", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2015/06/paper_2015_ICB_Prado.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139088", "http://doi.org/10.1109/ICB.2015.7139088"]}, {"id": "38b55d95189c5e69cf4ab45098a48fba407609b4", "title": "Locally Aligned Feature Transforms across Views", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619305"]}, {"id": "1b93698c1784db4abf72b500e51d4806e6430522", "title": "Re-id: Hunting Attributes in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1b93/698c1784db4abf72b500e51d4806e6430522.pdf"], "doi": []}, {"id": "0994b8a23880be0b28c0c4b214b6d4ae91d1182f", "title": "Bi-directional superpixel earth mover's distance for training free person re-identification", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8096040", "http://doi.org/10.1109/ICDSP.2017.8096040"]}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "712590793270e2f115fbd8891314a413047fccc3", "title": "Late Fusion in Part-based Person Re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3056640"]}, {"id": "974b9f0af3af675c092b96e7ac68e391cffdcf49", "title": "Person Re-identification Using Data-Driven Metric Adaptation", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/974b/9f0af3af675c092b96e7ac68e391cffdcf49.pdf"], "doi": []}, {"id": "498af0c92b41f02ae328857020bc5e01df59c252", "title": "Contextual Similarity Regularized Metric Learning for person re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899937", "http://doi.org/10.1109/ICPR.2016.7899937"]}, {"id": "6782b148bd2de66cd73f3d69f481d40cce866fff", "title": "Robust relationship learning to illumination in a camera network", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8330588"]}, {"id": "e74cc004dc22ac30ddb77b6750aa326bbd41082f", "title": "Person re-identification based on deep multi-instance learning", "addresses": [{"name": "MTA SZTAKI Institute for Computer Science and Control", "source_name": "MTA SZTAKI Institute for Computer Science and Control", "street_adddress": "Budapest, Kende u. 13, 1111 Hungary", "lat": "47.47828280", "lng": "19.05210750", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081471"]}, {"id": "0843ec2b76ef9401e60654fbfe71bac44ed19fae", "title": "A Two-Stage Approach for Bag Detection in Pedestrian Images", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0843/ec2b76ef9401e60654fbfe71bac44ed19fae.pdf"], "doi": []}, {"id": "7f45292369a5214984b4a15c65330ada474b0150", "title": "Person re-identification with spatial appearance group feature", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7568919"]}, {"id": "0d754504848d071936a5d603c8b3db0c48a3da6d", "title": "DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7502111", "http://doi.org/10.1109/TCSVT.2016.2586851"]}, {"id": "18ab9be9af94f2bf4d3828161ffb232d1462526a", "title": "SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Barman_SHaPE_A_Novel_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237389", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.127", "http://doi.org/10.1109/ICCV.2017.127"]}, {"id": "e23a75430f777e982b0715b6f8a048d4bbfea438", "title": "Maximum Margin Metric Learning over Discriminative Nullspace for Person Re-identification", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10908.pdf"], "doi": []}, {"id": "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "title": "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/PengEtAl_CVPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.146", "http://doi.org/10.1109/CVPR.2016.146"]}, {"id": "8edcd935362c899e630349784e4ff8adb3a69cdc", "title": "Person re-identification using deformable patch metric learning", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20160304002207/Person-Re-identification-using-Deformable-Patch-Metric-Learning-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477590", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477590", "http://doi.org/10.1109/WACV.2016.7477590"]}, {"id": "611849b55ef6b164f21e52cefd05300041e72152", "title": "A MultiTask Deep Network for Person Re-Identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6118/49b55ef6b164f21e52cefd05300041e72152.pdf"], "doi": []}, {"id": "a855b07ab632ef67b0538325acc34e38f000245d", "title": "Deep neural network for person re-identification in a non-overlapping camera network", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217574", "http://doi.org/10.1109/ICCAIS.2017.8217574"]}, {"id": "c8c714c100a754baf7d86d240ec35207fcf84b06", "title": "Person Re-identification Meets Image Search.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02171.pdf"], "doi": []}, {"id": "ff8c21c13c9f442e6cebe405be4a4ce09a7fb98a", "title": "Background removal for improving saliency-based person re-identification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7758077", "http://doi.org/10.1109/KSE.2016.7758077"]}, {"id": "a9be351910ad6b1819764fbaf04caa69f27548a2", "title": "Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera Person Reidentification", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "University of Sheffield", "source_name": "The University of Sheffield", "street_adddress": "University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK", "lat": "53.38152480", "lng": "-1.48068143", "type": "edu", "country": "United Kingdom"}, {"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://ueaeprints.uea.ac.uk/62234/1/Accepted_manuscript.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7456248", "http://doi.org/10.1109/TCSVT.2016.2555739"]}, {"id": "6701efa7f715b3c296843b8ff5414a6610711cf9", "title": "Semi-automatic image and video annotation system for generating ground truth information", "addresses": [{"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8343233", "http://doi.ieeecomputersociety.org/10.1109/ICOIN.2018.8343233", "http://doi.org/10.1109/ICOIN.2018.8343233"]}, {"id": "7969cc315bbafcd38a637eb8cd5d45ba897be319", "title": "An enhanced deep feature representation for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07807.pdf"], "doi": []}, {"id": "063f78c20405158d87114a8aef1bb7557230bd89", "title": "An improved deep learning architecture for person re-identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://medialab.sjtu.edu.cn/teaching/CV/hw/related_papers/6_reid.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Ahmed_An_Improved_Deep_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_062.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_062_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Ahmed_An_Improved_Deep_2015_CVPR_paper.pdf", "http://www.merl.com/publications/docs/TR2015-076.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299016", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299016", "http://doi.org/10.1109/CVPR.2015.7299016"]}, {"id": "2e59865aa2ddcecaf9275abcad9b134558c686c2", "title": "Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf", "http://www4.comp.polyu.edu.hk/~cslzhang/paper/cvpr16/SIR-CIR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780513", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.144", "http://doi.org/10.1109/CVPR.2016.144"]}, {"id": "19bcd3bd41825a67f48db701a68030c5e6763152", "title": "Partial Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengEtAl_ICCV2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410888", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.531", "http://doi.org/10.1109/ICCV.2015.531"]}, {"id": "09d78009687bec46e70efcf39d4612822e61cb8c", "title": "Consistent Re-identification in a Camera Network", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c27f/099e6e7e3f7f9979cbe9e0a5175fc5848ea0.pdf"], "doi": []}, {"id": "1bcf142e3b2f5a7ade185f220ee031657203c293", "title": "Data-augmentation for reducing dataset bias in person re-identification", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.qub.ac.uk/sites/CSIT/InnovationatCSIT/ResearchGroups/IntelligentSurveillanceSystems/Data-AugmentationforReducingDatasetBiasinPersonRe-identification/Filetoupload,525207,en.pdf", "https://core.ac.uk/download/pdf/33587140.pdf", "https://pure.qub.ac.uk/portal/files/16612194/AMMDS_camera_ready_v2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301739", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301739", "http://doi.org/10.1109/AVSS.2015.7301739"]}, {"id": "0a103350842cca3794a784fb04ed70ca78e7f29d", "title": "A method of multi-criteria set recognition based on deep feature representation", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5385-3"]}, {"id": "a6840267e169382d3c5ab2645f6da60dd842d6ac", "title": "Person Re-Identification via Unsupervised Transfer of Learned Visual Representations", "addresses": [{"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131923"]}, {"id": "6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3", "title": "DeepReID: Deep Filter Pairing Neural Network for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909421"]}, {"id": "bf976d746b1223a60e93f6fcb1321e433eda94f6", "title": "Robust Color Invariant Model for Person Re-Identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46654-5_76"]}, {"id": "e9b72a152928f683aad5f81347777534b6715e67", "title": "Person re-identification with mutual re-ranking", "addresses": [{"name": "University of Information Technology", "source_name": "Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam", "street_adddress": "Khu ph\u1ed1 6 P, Vietnam", "lat": "10.87030000", "lng": "106.80345130", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s40595-016-0093-x"]}, {"id": "274e8c0c513ff82713f2f332694cf2b29b7c3bb1", "title": "0 Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/274e/8c0c513ff82713f2f332694cf2b29b7c3bb1.pdf"], "doi": []}, {"id": "e9835bb131287d711e5e5435a5df8ce5302acb31", "title": "Person Re-identification by Unsupervised ` 1 Graph Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e983/5bb131287d711e5e5435a5df8ce5302acb31.pdf"], "doi": []}, {"id": "64e4d1152cd43193f2f9a33c0fa2800b1aab1d55", "title": "A codebook of brightness transfer functions for improved target re-identification across non-overlapping camera views", "addresses": [{"name": "Iowa State University", "source_name": "Iowa State University", "street_adddress": "Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA", "lat": "42.02791015", "lng": "-93.64464415", "type": "edu", "country": "United States"}, {"name": "Syracuse University", "source_name": "Syracuse University", "street_adddress": "Syracuse, NY, USA", "lat": "43.03915340", "lng": "-76.13511580", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308625", "http://doi.org/10.1109/GlobalSIP.2017.8308625"]}, {"id": "6c572562a906f6c94d8f2e91895c161cbb0fa4cc", "title": "Multi-Channel Pyramid Person Matching Network for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02558.pdf"], "doi": []}, {"id": "35bddbae441ae8d5f381b3aa343d12eae3196efa", "title": "Person re-identification by discriminant analytical least squares metric learning", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "Guangzhou University", "source_name": "Guangzhou University", "street_adddress": "\u5e7f\u5dde\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u897f\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u5357\u6751\u9547, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04436505", "lng": "113.36668458", "type": "edu", "country": "China"}, {"name": "UBTECH Robotics, Shenzhen, People's Republic of China", "source_name": "UBTECH Robotics, Shenzhen, People\u2019s Republic of China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0917-z"]}, {"id": "592bbab1e073908c75584879bc00911e7246aebf", "title": "Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/06/FG2017_presentation-Julio.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961756", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.133", "http://doi.org/10.1109/FG.2017.133"]}, {"id": "5da0e870d1f9161989ee9110c932477b3030d501", "title": "Low-resolution person recognition using image downsampling", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986904", "http://doi.org/10.23919/MVA.2017.7986904"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "4679f58139f1be2aab2598378555f277bc299d2a", "title": "Online learning of dynamic multi-view gallery for person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3015-5"]}, {"id": "ccf934a335793fe416b0115183783d2c355b64ed", "title": "Query Based Adaptive Re-ranking for Person Re-identification", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ccf9/34a335793fe416b0115183783d2c355b64ed.pdf"], "doi": []}, {"id": "3147bb14bf4228735ecf4bc2a421590b3de86c0f", "title": "Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Liao_Efficient_PSD_Constrained_ICCV_2015_paper.pdf", "http://www.cbsr.ia.ac.cn/users/scliao/papers/Liao-ICCV15-MLAPG.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Liao_Efficient_PSD_Constrained_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410777", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.420", "http://doi.org/10.1109/ICCV.2015.420"]}, {"id": "ec85c3f57594afa77a8b0e516035550ef6f79db4", "title": "Support Neighbor Loss for Person Re-Identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06030.pdf"], "doi": []}, {"id": "67538df7950dbba0ab7885a23b7abf6f56f39537", "title": "Person Re-identification by Salience Matching", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhao_Person_Re-identification_by_2013_ICCV_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhaoOWiccv13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751425", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.314", "http://doi.org/10.1109/ICCV.2013.314"]}, {"id": "16e5d7b733086e0a7dbebc7218f80da53bd71646", "title": "Constraint patch matching for faster person re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947703", "http://doi.org/10.1109/ISBA.2017.7947703"]}, {"id": "6a2ecd18bba2667cefe1f9c3689c7cbe0380a276", "title": "An Enhanced Metric Learning for Person Reidentification", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455774"]}, {"id": "9b17f368d038a7d7e4304089c0270e81f0b4eb6c", "title": "Discriminative Structural Metric Learning for Person Reidentification in Visual Internet of Things", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8022862"]}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "1ce69b2ab1821b7434c099c2c2d65a2cef878645", "title": "Semi-supervised Region Metric Learning for Person Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1075-5"]}, {"id": "10952c8fed04a5847192decdecfeee03c9ea997f", "title": "Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification", "addresses": [{"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8469088", "http://doi.org/10.1109/TIP.2018.2870941", "https://www.ncbi.nlm.nih.gov/pubmed/30235128"]}, {"id": "628aea69160e273ae3b3ae982deb11e9089d0336", "title": "Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.pkuml.org/wp-content/uploads/2013/07/2017_TIP_DFC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016659", "http://doi.org/10.1109/TIP.2017.2745203", "https://www.ncbi.nlm.nih.gov/pubmed/28858800", "https://www.wikidata.org/entity/Q38599921"]}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "813cc31130ceab1668da1ac6646eea4b6a4be6b6", "title": "A new deep representation for large-scale scene classification", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Zhejiang Huayun, Zhejiang, China", "source_name": "Zhejiang Huayun, Zhejiang, China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5322-5"]}, {"id": "1fbc81959c49d04e292ef4cfc68dd431105cdd83", "title": "Enhanced Deep Feature Representation for Person Search", "addresses": [{"name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "source_name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}, {"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-7305-2_28"]}, {"id": "2dbff0b15221234e00bec4a00b4897c631904fcf", "title": "Learning Efficient Image Representation for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02319.pdf"], "doi": []}, {"id": "0a85bdff552615643dd74646ac881862a7c7072d", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299113"]}, {"id": "57c5501d9937fa43291dbd3f95288aded8b2dca1", "title": "Groups Re-identification with Temporal Context", "addresses": [{"name": "INRIA, Sophia Antipolis, France", "source_name": "INRIA, Sophia Antipolis, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078978"]}, {"id": "febff0f6faa8dde77848845e4b3e6f6c91180d33", "title": "Embedding Deep Metric for Person Re-identication A Study Against Large Variations", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00137.pdf"], "doi": []}, {"id": "faffbf70dbd094346bad9b8a4ddeb973c51a70a9", "title": "Cross-Scenario Transfer Person Reidentification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://xiaojuanwang.com/Slides/CrossScenarioTransferReid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7137647", "http://doi.org/10.1109/TCSVT.2015.2450331"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "26e39719a8dd2a554a825dba86fb244dcaaac4aa", "title": "Person re-identification via rich color-gradient feature", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/121800/4/copy+of+paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552869", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552869", "http://doi.org/10.1109/ICME.2016.7552869"]}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "b866bafa296ae836726a8a1df78639ad9533623b", "title": "Occlusion detector using convolutional neural network for person re-identification", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217564", "http://doi.org/10.1109/ICCAIS.2017.8217564"]}, {"id": "6448acca3bf4d14ad44756974a6486a317095a54", "title": "Deep multi-instance learning for end-to-end person re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4896-2"]}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "9ab57be9cd26652fcc02ce994ee53ede05cfa79c", "title": "Online learning on incremental distance metric for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7090533", "http://doi.org/10.1109/ROBIO.2014.7090533"]}, {"id": "3441edf456e25b222d7b237b96faa7e3e00daaf7", "title": "Person re-identification via adaboost ranking ensemble", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ucassdl.cn/publication/icip-lizhaoju.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533165", "http://doi.org/10.1109/ICIP.2016.7533165"]}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "de02043fd479a2bcf23d30ab4496cc4e0d84f699", "title": "Zero-Shot Person Re-identification via Cross-View Consistency", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346474", "http://doi.org/10.1109/TMM.2015.2505083"]}, {"id": "700bafb57112febd5d5712f474b0ecc39379320c", "title": "Deep Deformable Patch Metric Learning for Person Re-Identification", "addresses": [{"name": "Disney Research, Pittsburgh, PA, USA", "source_name": "Disney Research, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20171103171212/Deep-Deformable-Patch-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076890", "http://doi.org/10.1109/TCSVT.2017.2765242"]}, {"id": "aa2deffe0b56f7b9b8cdd69f5b3ee6bb79801797", "title": "Inter-Camera Person Tracking in Non-overlapping Networks: Re-identification Protocol and On-line Update", "addresses": [{"name": "Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka", "source_name": "Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka", "street_adddress": "Electrical Engineering Depratment, Indian Institute of Science, Bangalore, Javanica Marg, Mathikere, Bengaluru, Karnataka 560012, India", "lat": "13.01498720", "lng": "77.57103030", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131912"]}, {"id": "d0d148c5124d53152e93d25ed91523dc7d83a248", "title": "Adaptive Metric Learning and Probe-Specific Reranking for Person Reidentification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873304", "http://doi.org/10.1109/LSP.2017.2679208"]}, {"id": "f3084f7f60fe087c66606f21a1df6de890feeea8", "title": "Not All Negatives Are Equal: Learning to Track With Multiple Background Clusters", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583707", "http://doi.org/10.1109/TCSVT.2016.2615518"]}, {"id": "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "title": "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", "addresses": [{"name": "Cisco Systems, Inc., CA, USA", "source_name": "Cisco Systems, Inc., CA, USA", "street_adddress": "101 N Brand Blvd Suite 1700, Glendale, CA 91203, USA", "lat": "34.14683580", "lng": "-118.25544120", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243217"]}, {"id": "8e346f6cb75fa50e0c4e8fee4f198788b91569e1", "title": "Collaborative Networks for Person Verification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132385"]}, {"id": "03babadaaa7e71d4b65203e27e8957db649155c6", "title": "Distance Metric Learning via Iterated Support Vector Machines", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Educational Testing Service", "source_name": "Research Division, Educational Testing Service, Princeton, NJ, USA", "street_adddress": "Research Rd, Princeton, NJ 08540, USA", "lat": "40.34946320", "lng": "-74.71481500", "type": "company", "country": "United States"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.linliang.net/wp-content/uploads/2017/07/TIP_DistanceMetric.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7973168", "http://doi.org/10.1109/TIP.2017.2725578", "https://www.ncbi.nlm.nih.gov/pubmed/28708554"]}, {"id": "cde66b2f8c7f2e8b808073cc82f49fecfa0da04d", "title": "QRKISS: A Two-Stage Metric Learning via QR-Decomposition and KISS for Person Re-Identification", "addresses": [{"name": "Nanjing Agricultural University", "source_name": "College of Information Science and Technology, Nanjing Agricultural University, Nanjing, China", "street_adddress": "Jinling Rd, Xuanwu Qu, Nanjing Shi, Jiangsu Sheng, China, 210014", "lat": "32.03341000", "lng": "118.84257700", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University)", "source_name": "Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), Fuzhou, China", "street_adddress": "1 Wenxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.06470400", "lng": "119.16911600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9820-x"]}, {"id": "160da454cc64c1117c3a164b9bf375d73fb81720", "title": "Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00370.pdf"], "doi": []}, {"id": "82485c89a6b48077b03b65a774fd5768ea768d4d", "title": "Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03112.pdf"], "doi": []}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "0c69b1e916476bbdd8b1b38bbb1aa877709a0f28", "title": "Deep Siamese Network with Multi-level Similarity Perception for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University & Alibaba Group", "source_name": "Shanghai Jiao Tong University & Alibaba Group, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123452"]}, {"id": "2b52292f09451cf4c803b52c2995b51d17e96153", "title": "Body-structure based feature representation for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7178198", "http://doi.org/10.1109/ICASSP.2015.7178198"]}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "9125903bf7aa68920fdca8296f703b9013a877ed", "title": "Deep spatial pyramid for person re-identification", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170814145721/Deep-Spatial-Pyramid-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078492", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078492", "http://doi.org/10.1109/AVSS.2017.8078492"]}, {"id": "37ba12271d09d219dd1a8283bc0b4659faf3a6c6", "title": "Domain transfer for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2510658"]}, {"id": "51144f331aa9310e4fd9b4dab00e4baf6fba7ef3", "title": "Person re-identification using CNN features learned from combination of attributes", "addresses": [{"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://www.i.kyushu-u.ac.jp/~matsukawa/ReID_files/icpr2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900000", "http://doi.org/10.1109/ICPR.2016.7900000"]}, {"id": "8520a3731e66304cac8981e97127211409b5089e", "title": "Robust Discriminative Subspace Learning for Person Reidentification", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540416"]}, {"id": "779a74a12d73d5b72c156a50ff14f29fb8b09f0a", "title": "Graph Correspondence Transfer for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00242.pdf"], "doi": []}, {"id": "090dd649d9873282cfb7918fc12d11cb673dc15e", "title": "Person Reidentification Based on Elastic Projections", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7896623", "http://doi.org/10.1109/TNNLS.2016.2602855", "https://www.ncbi.nlm.nih.gov/pubmed/28422688", "https://www.wikidata.org/entity/Q38830568"]}, {"id": "76ad6daa899a8657c9c17480e5fc440fda53acec", "title": "A Multi-task Deep Network for Person Re-identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05369.pdf"], "doi": []}, {"id": "e1febe25c3f678878c97bec28036c797bc5e6d0d", "title": "Cooperative multi-scale Convolutional Neural Networks for person detection", "addresses": [{"name": "Ilmenau University of Technology", "source_name": "Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany", "street_adddress": "Ilmenau, Germany", "lat": "50.68435020", "lng": "10.92547280", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727208", "http://doi.org/10.1109/IJCNN.2016.7727208"]}, {"id": "a784fd9391cc7013c618186017bbf43b806fa004", "title": "Discriminative regularized metric learning for person re-identification", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China", "source_name": "Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China", "street_adddress": "Chongqing, China", "lat": "29.43158610", "lng": "106.91225100", "type": "gov", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139075", "http://doi.org/10.1109/ICB.2015.7139075"]}, {"id": "ddca5c18415bb855e76f9f459747685ee9c23a4d", "title": "MSMCT: Multi-State Multi-Camera Tracker", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048028", "http://doi.org/10.1109/TCSVT.2017.2755038"]}, {"id": "e5a9b24056782a343ddc903aebc21e6c277a6b2d", "title": "People re-identification using two-stage transfer metric learning", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.mva-org.jp/Proceedings/2015USB/papers/15-03.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153260", "http://doi.org/10.1109/MVA.2015.7153260"]}, {"id": "887502ea2d8a335d8e72deb23fec2784df713b8d", "title": "Nonlinear Local Metric Learning for Person Re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05169.pdf"], "doi": []}, {"id": "2de8508b33fe3ee290f94339a2f78f373e83b21d", "title": "Multi-Level Common Space Learning for Person Re-Identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7876753", "http://doi.org/10.1109/TCSVT.2017.2680118"]}, {"id": "a46edfb0d5374fae7633b56ab767e26cc8ea25ac", "title": "Deep Multi-Metric Learning for Person Re-Identification", "addresses": [{"name": "Ministry of Education (Chongqing University)", "source_name": "Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education (Chongqing University), Chongqing, China", "street_adddress": "China, Chongqing Shi, Shapingba Qu, ChongQing DaXue, \u6c99\u6b63\u8857174\u53f7", "lat": "29.56488000", "lng": "106.46809700", "type": "gov", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486502", "http://doi.ieeecomputersociety.org/10.1109/ICME.2018.8486502", "http://doi.org/10.1109/ICME.2018.8486502"]}, {"id": "e6eda2bfec3036cf431a45fa021070ab21bb3488", "title": "Mirror Representation for Modeling View-Specific Transform in Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6ed/a2bfec3036cf431a45fa021070ab21bb3488.pdf"], "doi": []}, {"id": "5c07464391cda9440cf05c67ab5f3b2b777459d6", "title": "Person Re-Identification by Localizing Discriminative Regions", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5c07/464391cda9440cf05c67ab5f3b2b777459d6.pdf"], "doi": []}, {"id": "9963c73b03e4649959f021ef6f4fb1eac0b617d2", "title": "Person Reidentification Using Multiple Egocentric Views", "addresses": [{"name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "source_name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2017/Person%20Re-identification%20Using%20Multiple%20Egocentric%20Views.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583680", "http://doi.org/10.1109/TCSVT.2016.2615445"]}, {"id": "2b853328b37db50be2e5ddf7e6629121f607140c", "title": "Combined salience based person re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2862-4"]}, {"id": "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "title": "Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4649-2"]}, {"id": "d8c2a08673bcda9fca35972112bff8764d207764", "title": "An Asymmetric Distance Model for Cross-View Feature Mapping in Person Reidentification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://isee.sysu.edu.cn/files/resource/CVDCA.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7373616", "http://doi.org/10.1109/TCSVT.2016.2515309"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "ea00489323104d70dd43bac5e15390ec4d6dfe8f", "title": "Transfer for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea00/489323104d70dd43bac5e15390ec4d6dfe8f.pdf"], "doi": []}, {"id": "3387805b752dadfa34cb8eb63d9dc86aff49934a", "title": "Exploration of Contextual Relationships for Robust Video Analysis: Applications in Camera Networks, Bio-image Analysis and Activity Forecasting", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3387/805b752dadfa34cb8eb63d9dc86aff49934a.pdf"], "doi": []}, {"id": "bffefd41cea42f4db45e8c98b0651f74a8aa90d6", "title": "Multi-Region bilinear convolutional neural networks for person re-identification", "addresses": [{"name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "source_name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "street_adddress": "Ulitsa Nobelya, 3, Moskva, Moscow Oblast, Russia, 121205", "lat": "55.68465660", "lng": "37.34075390", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078460", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078460", "http://doi.org/10.1109/AVSS.2017.8078460"]}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "title": "Constrained Deep Metric Learning for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07545.pdf"], "doi": []}, {"id": "b8e9a328d3952755941380f9eb88072c3c1e4f74", "title": "Reranking of person re-identification by manifold-based approach", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351608", "http://doi.org/10.1109/ICIP.2015.7351608"]}, {"id": "f62d71e701c9fd021610e2076b5e0f5b2c7c86ca", "title": "Mahalanobis Distance Learning for Person Re-identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}, {"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f62d/71e701c9fd021610e2076b5e0f5b2c7c86ca.pdf"], "doi": []}, {"id": "4469d0d0ac2f6f0221dc865b132958df33faa95e", "title": "Region-Based Interactive Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://mmap.whu.edu.cn/wp-content/uploads/publications/2014/wz_2014PCM.pdf", "http://multimedia.whu.edu.cn/group/MAP/personalpage/wz_pdf/PCM2014%20V12.pdf", "http://multimedia.whu.edu.cn/group/publications/2014/wz_2014PCM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-13168-9_1", "http://www.escience.cn/system/download/74305"]}, {"id": "0f911ed7c457979200848db3974f13ed3d7457a4", "title": "Deep learning with particle filter for person re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6415-5"]}, {"id": "3f9f5a8966c035dc179a60c042b160aee2bf8f53", "title": "Deep Second-Order Siamese Network for Pedestrian Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3f9f/5a8966c035dc179a60c042b160aee2bf8f53.pdf"], "doi": []}, {"id": "93fa3d850e1aa84ce6fc0f2fdd0bda028fb6ca8f", "title": "Context-aware reinforcement learning for re-identification in a video network", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778207", "http://doi.org/10.1109/ICDSC.2013.6778207"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "5438e7c8151311d76ed7335051069c7c07113a12", "title": "Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Greenwich", "source_name": "University of Greenwich, London, United Kingdom", "street_adddress": "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "lat": "51.48293080", "lng": "-0.00699500", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965715", "http://doi.org/10.1109/SERA.2017.7965715"]}, {"id": "0f18522f7cc5068a2dc89e28dd41054384fab289", "title": "Improving person re-identification by soft biometrics based reranking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_icdsc2.pdf", "http://www.ee.ucr.edu/~lan/papers/ANICDSC13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778216", "http://doi.org/10.1109/ICDSC.2013.6778216"]}, {"id": "f9824a85f30c687f7b3a3fbf25f842d3d87e77ea", "title": "Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning", "addresses": [{"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8023775", "http://doi.org/10.1109/TNNLS.2017.2736640", "https://www.ncbi.nlm.nih.gov/pubmed/28880193", "https://www.wikidata.org/entity/Q47696400"]}, {"id": "2ab79698e74812142600f7e02315b9ac235a93ee", "title": "Person re-identification based on deep spatio-temporal features and transfer learning", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727397", "http://doi.org/10.1109/IJCNN.2016.7727397"]}, {"id": "12bce6e2db10faa4f370f9e40a6084296080b5cb", "title": "Learning to rank in person re-identification with metric ensembles", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01543.pdf"], "doi": []}, {"id": "b33d610d62e5255c77ca4abcc9de8aa3c57b60aa", "title": "Regularization in metric learning for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351214", "http://doi.org/10.1109/ICIP.2015.7351214"]}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "2d4c5768a65f05f96ae71a269422d0c3d371b26a", "title": "Semantics-Aware Deep Correspondence Structure Learning for Robust Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d4c/5768a65f05f96ae71a269422d0c3d371b26a.pdf"], "doi": []}, {"id": "c58a68628745ad189e47dcd956c7e23dc831da1f", "title": "Camera Compensation Using a Feature Projection Matrix for Person Reidentification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6739115", "http://doi.org/10.1109/TCSVT.2014.2305519"]}, {"id": "afaec3f0da9f2b8721b7979c8e77341bae59f98a", "title": "Person re-identification with coarse-to-fine visual attention", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296451", "http://doi.org/10.1109/ICIP.2017.8296451"]}, {"id": "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "title": "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "addresses": [{"name": "London, United Kingdom", "source_name": "London, United Kingdom", "street_adddress": "London, Greater London, England, SW1A 2DU, UK", "lat": "51.50732190", "lng": "-0.12764740", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7970176"]}, {"id": "4acbfe48fb279dbbc62f5be868dde5a4ce799904", "title": "Person re-identification by free energy score space encoding", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025496", "http://doi.org/10.1109/ICIP.2014.7025496"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "b3ed0c6d71a0b7b4a056dd88919c49f05ab69a9f", "title": "Data-driven and semantic-based pedestrian re-identification", "addresses": [{"name": "Jiangsu University", "source_name": "Jiangsu University", "street_adddress": "\u6c5f\u82cf\u5927\u5b66, 301, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212013, \u4e2d\u56fd", "lat": "32.20302965", "lng": "119.50968362", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393408", "http://doi.org/10.1109/FSKD.2017.8393408"]}, {"id": "de1aafc4f737d17b211fb84b80bace40f82c148b", "title": "Person Re-Identification by Dual-Regularized KISS Metric Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7451215", "http://doi.org/10.1109/TIP.2016.2553446", "https://www.ncbi.nlm.nih.gov/pubmed/27093624", "https://www.wikidata.org/entity/Q47434589"]}, {"id": "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "title": "Improving Person Re-identification via Pose-Aware Multi-shot Matching", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cho_Improving_Person_Re-Identification_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780520", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.151", "http://doi.org/10.1109/CVPR.2016.151"]}, {"id": "17f9b24a4871d29ca1a83fae12e4b96bce0fba63", "title": "Person Re-Identification Using Kernel-Based Metric Learning Methods", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/FeiXiong_ECCV14.pdf", "http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/posters/FeiXiong_ECCV14.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8695/86950001.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10584-0_1"]}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "29401a5ad840cfa2c525003815149d62399e91d1", "title": "Person Reidentification by Minimum Classification Error-Based KISS Metric Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6824754", "http://doi.org/10.1109/TCYB.2014.2323992", "https://www.ncbi.nlm.nih.gov/pubmed/25486658"]}, {"id": "944efd74c6fd812c6c495a11e7b045c9b778702e", "title": "RCAA: Relational Context-Aware Agents for Person Search", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/944e/fd74c6fd812c6c495a11e7b045c9b778702e.pdf"], "doi": []}, {"id": "2fa4b37f91667970150481c37a1f4e294a49b7f0", "title": "Person Reidentification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing", "addresses": [{"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://graphvision.whu.edu.cn/papers/Ye_TMM_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7557057", "http://doi.org/10.1109/TMM.2016.2605058"]}, {"id": "8e069b2447751a2ac44056203a47fa97ac803e4b", "title": "Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654965"]}, {"id": "952a8ef56f35376a52e4540d3df9e48f4077b09e", "title": "Deep feature embedding learning for person re-identification based on lifted structured loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6408-4"]}, {"id": "3cbb4cf942ee95d14505c0f83a48ba224abdd00b", "title": "Hierarchical Cross Network for Person Re-identification", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.06820.pdf"], "doi": []}, {"id": "dfc14e8bd07aeb2b97b3b5129ca511f0d157a6b5", "title": "Human detection and tracking over camera networks: A review", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846643"]}, {"id": "aec7ba707a37446fbf39cec960951ded2d575267", "title": "Learning Multiple Kernel Metrics for Iterative Person Re-Identification", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234929"]}, {"id": "9d6a35541f388db3f4ccf4c457e8ba23eb463654", "title": "Local region partition for person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4817-4"]}, {"id": "c105bd7f3fcdcf531fecd29206f7a1a6ade8e6c6", "title": "Towards unsupervised open-set person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/18790/Gong%20Towards%20unsupervised%20open-set%202016%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532461", "http://doi.org/10.1109/ICIP.2016.7532461"]}, {"id": "92166eb883b0505040c2d61c758985e5ec051f83", "title": "Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07528.pdf"], "doi": []}, {"id": "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "title": "Attention-based Few-Shot Person Re-identification Using Meta Learning", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09613.pdf"], "doi": []}, {"id": "7b6dc0a4feb3c940618f6c011ee1b75089e3b07a", "title": "Metric learning with trace-norm regularization for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025494", "http://doi.org/10.1109/ICIP.2014.7025494"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "956466b5c3036ada2e18f8f7c1b7bf0650779d08", "title": "Learning patch-dependent kernel forest for person re-identification", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://dklospace.github.io/papers/wacv16person.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477578", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477578", "http://doi.org/10.1109/WACV.2016.7477578"]}, {"id": "7d66daaaf6a52c3c0f26972c10e08423a23f842c", "title": "Improving person re-identification systems: a novel score fusion framework for rank-n recognition", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010018"]}, {"id": "16d2ead2c3e98aa1ee9c948855a027e1da2b8eea", "title": "Multi-view Deep Network for Cross-View Classification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kan_Multi-View_Deep_Network_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kan_Multi-View_Deep_Network_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780893", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.524", "http://doi.org/10.1109/CVPR.2016.524"]}, {"id": "7f02f790f320194d5eccf7665066308e46f5d0e9", "title": "Coupled-View Based Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://multimedia.whu.edu.cn/group/MAP/personalpage/Mang%20Ye's%20Homepage/ym_mmm.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/mmm2015.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/ym_mmm.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-14445-0_10"]}, {"id": "014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7", "title": "Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ab6e/d75e1b1952e4461fc603bcfd042bb462635f.pdf"], "doi": []}, {"id": "3d5b43dcb9725f469635c54c01f6bc90976b4ee0", "title": "Triplet CNN and pedestrian attribute recognition for improved person re-identification", "addresses": [{"name": "Thales Services, ThereSIS, Palaiseau, France", "source_name": "Thales Services, ThereSIS, Palaiseau, France", "street_adddress": "Route D\u00e9partementale, 91120 Palaiseau, France", "lat": "48.71472740", "lng": "2.20270890", "type": "company", "country": "France"}, {"name": "University of Lyon", "source_name": "Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://hal.archives-ouvertes.fr/hal-01625479/file/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078542", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078542", "http://doi.org/10.1109/AVSS.2017.8078542"]}, {"id": "3a387304d18f2786ee83804bd38efecc2a5fd323", "title": "Person Re-Identification Using Multiple Experts with Random Subspaces", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3a38/7304d18f2786ee83804bd38efecc2a5fd323.pdf"], "doi": []}, {"id": "447848afc79a7f78be49450cd330bfdaabdd64d3", "title": "Incremental Kernel Null Foley-Sammon Transform for Person Re-identification", "addresses": [{"name": "Aviation University of Airforce", "source_name": "Aviation University of Airforce, Changchun, 130022, China", "street_adddress": "Fanrong Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130022", "lat": "43.83983040", "lng": "125.32018170", "type": "mil", "country": "China"}, {"name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "source_name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546301"]}, {"id": "64b90c3220c43f58cb38da9af1a1b77da3dde63e", "title": "Recurrent Attention Models for Depth-Based Person Identification", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.07212.pdf"], "doi": []}, {"id": "3a0425c25beea6c4c546771adaf5d2ced4954e0d", "title": "Domain Adaptation in Computer Vision Applications", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-58347-1", "https://link.springer.com/book/10.1007/978-3-319-58347-1"]}, {"id": "9a81f46fcf8c6c0efbe34649552b5056ce419a3d", "title": "Deep person re-identification with improved embedding and efficient training", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03332.pdf"], "doi": []}, {"id": "e7e070a929d7911ef2f8c6f6d4e3c5d62c5a9890", "title": "Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7893777", "http://doi.org/10.1109/TPAMI.2017.2691769", "https://www.ncbi.nlm.nih.gov/pubmed/28410099", "https://www.wikidata.org/entity/Q36347023"]}, {"id": "de2faaee4f1b2ecf23149995d0146347a13b9257", "title": "Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment", "addresses": [{"name": "Johannes Kepler University", "source_name": "Johannes Kepler University, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06114.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "a65c3af3752866732fb2d1ccb3305ddf0fea91df", "title": "Deep Feature Embedding Learning for Person Re-Identification Using Lifted Structured Loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001957.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462118", "http://doi.org/10.1109/ICASSP.2018.8462118"]}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "5db08701e6a8173ada652309c09d1262f9df7f9b", "title": "Ranking Optimization for Person Re-identification via Similarity and Dissimilarity", "addresses": [{"name": "Jiujiang University", "source_name": "Jiujiang University, Jiujiang, China", "street_adddress": "17 Lufeng Rd, Xunyang Qu, Jiujiang Shi, Jiangxi Sheng, China, 332000", "lat": "29.72004900", "lng": "115.99882500", "type": "edu", "country": "China"}, {"name": "Wuhan Univeristy, Wuhan, China", "source_name": "Wuhan Univeristy, Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806326"]}, {"id": "7e186b41f5d2cfdf1940009e61d4e34a47b33c7c", "title": "Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wang_Orientation_Invariant_Feature_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237311", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.49", "http://doi.org/10.1109/ICCV.2017.49"]}, {"id": "8cfdd9047f8ad1eaf7d2b71385576f759c792173", "title": "Similarity Learning with Top-heavy Ranking Loss for Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://www.researchgate.net/profile/Changxin_Gao/publication/284274001_Similarity_Learning_with_Top-heavy_Ranking_Loss_for_Person_Re-identification/links/568c660f08aeb488ea2fd6a6.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332741", "http://doi.org/10.1109/LSP.2015.2502271"]}, {"id": "54be7b76110de37a8315bad7a4b0cda3bdaace76", "title": "Person Reidentification Using Deep Convnets With Multitask Learning", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pure.qub.ac.uk/portal/files/106210265/bare_jrnl_no_copyright_notice.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734118,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600455", "http://doi.org/10.1109/TCSVT.2016.2619498"]}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "e0c6748799529ee035b21f040187d1e6df232624", "title": "Temporally aligned pooling representation for video-based person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533168", "http://doi.org/10.1109/ICIP.2016.7533168"]}, {"id": "edc67e3e95c0ae693c4df3193e5957dfd3e9e5b3", "title": "Person Re-Identification Using Multi-region Triplet Convolutional Network", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131917"]}, {"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "title": "Scalable Person Re-identification: A Benchmark", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, {"id": "bc27434e376db89fe0e6ef2d2fabc100d2575ec6", "title": "Faceless Person Recognition; Privacy Implications in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08438.pdf"], "doi": []}, {"id": "61dfbdfe718aca026cafa06adc63055bd0fc562e", "title": "A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61df/bdfe718aca026cafa06adc63055bd0fc562e.pdf"], "doi": []}, {"id": "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "title": "Independent metric learning with aligned multi-part features for video-based person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-7119-6"]}, {"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "title": "Person Re-identification by Video Ranking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "c249f0aa1416c51bf82be5bb47cbeb8aac6dee35", "title": "Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04533.pdf"], "doi": []}, {"id": "57ef0d30fac07e1fef3346838a1dcc8f4eb9f315", "title": "A novel stereo matching approach for pedestrian re-identification", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["http://www.ee.iisc.ac.in/new/people/faculty/soma.biswas/Papers/biswas_ncvpripg2015_pedreid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490003"]}, {"id": "a66a0349a840e786455ad2741c7fe7c46c9d4ca6", "title": "Impostor Resilient Multimodal Metric Learning for Person Reidentification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://downloads.hindawi.com/journals/am/2018/3202495.pdf"], "doi": ["https://doi.org/10.1155/2018%2F3202495", "https://doi.org/10.1155/2018/3202495"]}, {"id": "3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904", "title": "Dynamic locally connected layer for person re-identification", "addresses": [{"name": "ChongQing College of Electronic Engineering, Chongqing, China", "source_name": "ChongQing College of Electronic Engineering, Chongqing, China", "street_adddress": "Shapingba, Chongqing, China", "lat": "29.62636500", "lng": "106.32531700", "type": "edu", "country": "China"}, {"name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "source_name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "street_adddress": "11 Zhongshan 4th Rd, DaXiGou, Yuzhong Qu, Chongqing Shi, China, 400065", "lat": "29.56245900", "lng": "106.54645100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2033-2"]}, {"id": "ab1b95677e8ea0f9881520b34a5f8192d141ef0e", "title": "Corrections to \u201cRelevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities\u201d [Dec 15 4741-4755]", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364308", "http://doi.org/10.1109/TIP.2015.2466117", "https://www.ncbi.nlm.nih.gov/pubmed/26259221", "https://www.wikidata.org/entity/Q39195975"]}, {"id": "293c4f086152ae9d635ab1eb84b72f44cb57d129", "title": "Person re-identification via person DPM based partition", "addresses": [{"name": "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "source_name": "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "street_adddress": "Zhengzhou, Henan, China", "lat": "34.74661100", "lng": "113.62532800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0001.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900236", "http://doi.org/10.1109/ICPR.2016.7900236"]}, {"id": "1e5a1619fe5586e5ded2c7a845e73f22960bbf5a", "title": "Group Membership Prediction", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.04783.pdf"], "doi": []}, {"id": "8fb0ae4fa49de45bbd51f97571732c1827516617", "title": "Coupled analysis-synthesis dictionary learning for person re-identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296304", "http://doi.org/10.1109/ICIP.2017.8296304"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "afd492a598476b5a9b13e2b6d28a76b0707c0a35", "title": "Open-set Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1408.0872.pdf"], "doi": []}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "33c31cba98bda51f923caff75022d13bf62a5d60", "title": "Towards more reliable matching for person re-identification", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Towards%20More%20Reliable%20Matching%20for%20Person%20Re-identification.pdf", "http://sist.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Towards%20More%20Reliable%20Matching%20for%20Person%20Re-identification.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126349", "http://doi.org/10.1109/ISBA.2015.7126349"]}, {"id": "93afaa8c5fb5e0913e1f2a2de99636ddd30f7718", "title": "A combined feature representation of deep feature and hand-crafted features for person re-identification", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7949499"]}, {"id": "311e4361ded641dc6f007595dc05f5c77055bdba", "title": "Cross-View Discriminative Feature Learning for Person Re-Identification", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}, {"name": "Research Division, Anyvision, Belfast, U.K.", "source_name": "Research Division, Anyvision, Belfast, U.K.", "street_adddress": "Belfast, UK", "lat": "54.59728500", "lng": "-5.93012000", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398470"]}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "title": "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0991-0"]}, {"id": "a089b7627f4661e68fbb2acc4a741b98e54f1f09", "title": "Knowledge Science, Engineering and Management", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "Universit\u00e0 di Trento, Povo, Italy", "source_name": "Universit\u00e0 di Trento, Povo, Italy", "street_adddress": "Via Sommarive, 14, 38123 Povo TN, Italy", "lat": "46.06559770", "lng": "11.15084150", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-99247-1"]}, {"id": "df4525d7d99f7237c864adbcb2dab30d8f7447e0", "title": "Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification", "addresses": [{"name": "Universidade Federal de Minas Gerais, Brazil", "source_name": "Universidade Federal de Minas Gerais, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06969.pdf"], "doi": []}, {"id": "66284b8894bab0165c4210cd2df749f0b015c88e", "title": "Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8e0/0a3fb542d0d6ab090b28aa864de9c262fd40.pdf"], "doi": []}, {"id": "d87cfabb760f7e955f872ac077eadf5c0abfb32c", "title": "Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639078"]}, {"id": "71644fab2275cfd6a8f770a26aba4e6228e85dec", "title": "Multi-View Discriminant Analysis", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Omron Social Solutions Co., LTD., Kyoto, Japan", "source_name": "Omron Social Solutions Co., LTD., Kyoto, Japan", "street_adddress": "Kyoto, Kyoto Prefecture, Japan", "lat": "35.01163630", "lng": "135.76802940", "type": "company", "country": "Japan"}], "year": "2016", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/basicpage/file/Multi-view%20Discriminant%20Analysis_TPAMI2015.pdf", "http://vipl.ict.ac.cn/sites/default/files/papers/files/2012_ECCV_mnkan_Multi-view%20Discriminant%20Analysis.pdf", "http://www.jdl.ac.cn/doc/2011/20131910365517756_2012_eccv_mnkan_mvda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7110624", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2435740", "http://doi.org/10.1109/TPAMI.2015.2435740", "https://www.ncbi.nlm.nih.gov/pubmed/26656586"]}, {"id": "7b83674072904f783881585a45017c1969e2d692", "title": "Multi-Perspective Tracking for Intelligent Vehicle", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272017", "http://doi.org/10.1109/TITS.2017.2784486"]}, {"id": "02f94930219d2bb632d067ca2d31db61161ed5fb", "title": "Multi-Scale Triplet CNN for Person Re-Identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967209"]}, {"id": "0c59071ddd33849bd431165bc2d21bbe165a81e0", "title": "Person Recognition in Personal Photo Collections", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03502.pdf"], "doi": []}, {"id": "bd46c9a7b51e8d8a7726b6fbacec80aa6f2097d4", "title": "Toward facial re-identification: Experiments with data from an operational surveillance camera plant", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791204", "http://doi.org/10.1109/BTAS.2016.7791204"]}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "63d64d07966d4d128581246a891ff1d3dd3a2a96", "title": "Learning face similarity for re-identification from real surveillance video: A deep metric solution", "addresses": [{"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272704", "http://doi.org/10.1109/BTAS.2017.8272704"]}, {"id": "3e90a70d768415e28fbf0dd56e53f8933784c416", "title": "Highly Efficient Regression for Scalable Person Re-Identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01341.pdf"], "doi": []}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "436e40bfb2b5f8ba771812b7299669e677ecb29b", "title": "Dense 3D-Convolutional Neural Network for Person Re-Identification in Videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3231741"]}, {"id": "e23004116d85976ad0a2a4da69914a2c9d1ea5ab", "title": "Multi-part compact bilinear CNN for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296694", "http://doi.org/10.1109/ICIP.2017.8296694"]}, {"id": "47165ad181b3da3a615e6e8bc8509fcfc53f49c4", "title": "Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/papers/files/2014_ICDM_TINA%20Cross-modal%20Correlation%20Learning%20by%20Adaptive%20Hierarchical%20Semantic%20Aggregation.pdf", "http://www.jdl.ac.cn/doc/2011/201511612313045160_2014_icdm_tina%20cross-modal%20correlation%20learning%20by%20adaptive%20hierarchical%20semantic%20aggregation.pdf", "http://www.jdl.ac.cn/doc/2011/201711321582995603_cross-modal%20correlation%20learning%20by%20adaptive%20hierarchical%20semantic%20aggregation-tmm%202016-yan%20hua.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7422147", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2014.65", "http://doi.org/10.1109/ICDM.2014.65", "https://doi.org/10.1109/TMM.2016.2535864"]}, {"id": "ac44314e877e10ecf4b2123553ed0bdc3fc963ef", "title": "On-Road Pedestrian Tracking Across Multiple Driving Recorders", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7155586", "http://doi.org/10.1109/TMM.2015.2455418"]}, {"id": "6345eef2ffe46da6d77d07446c1329da7ea00f45", "title": "Trajectory Ensemble: Multiple Persons Consensus Tracking Across Non-overlapping Multiple Cameras over Randomly Dropped Camera Networks", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Kawanishi_Trajectory_Ensemble_Multiple_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014924", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.190", "http://doi.org/10.1109/CVPRW.2017.190"]}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "title": "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9c82/751e5bb63f54e9419703590ac9be86171de0.pdf"], "doi": []}, {"id": "a2fa23bb2720f1fe2131a485562658f1a8fd4ea0", "title": "Deep Siamese Network for Multiple Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547137"]}, {"id": "dac8fc521dfafb2d082faa4697f491eae00472c7", "title": "Learning to Generate and Edit Hairstyles", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123423"]}, {"id": "20b7d94df4011cd27e420976216b419890e254ff", "title": "Unsupervised Hashing with Neural Trees for Image Retrieval and Person Re-Identification", "addresses": [{"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243687"]}, {"id": "a29566375836f37173ccaffa47dea25eb1240187", "title": "Vehicle Re-Identification in Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09409.pdf"], "doi": []}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "26d3f57dd09efff6315ae0064cdad4877f5297d7", "title": "Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03252.pdf"], "doi": []}, {"id": "8824638e8077f62283d292804006ce94c92764bf", "title": "M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03768.pdf"], "doi": []}, {"id": "1bd2ac7fa16af540f2c7ef753a5ab06ce54d3d02", "title": "Person re-identification based on combined Gaussian weighted Fisher vectors", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7945651", "http://doi.ieeecomputersociety.org/10.1109/AICCSA.2016.7945651", "http://doi.org/10.1109/AICCSA.2016.7945651"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "f96525599a5abc069d2415950f6acd0ed37ab7d8", "title": "Convolutional neural network-based representation for person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495897", "http://doi.org/10.1109/SIU.2016.7495897"]}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "b5184bd428b9a89255900dce50b4320741706744", "title": "Discovering Disentangled Representations with the F Statistic Loss", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b518/4bd428b9a89255900dce50b4320741706744.pdf"], "doi": []}, {"id": "3149e6206484104959bcd112abb4e448fc35e311", "title": "A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240879"]}, {"id": "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "title": "Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "addresses": [{"name": "University of California, Los Angeles", "source_name": "University of California, Los Angeles", "street_adddress": "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "lat": "34.06877880", "lng": "-118.44500940", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09882.pdf"], "doi": []}, {"id": "6bdef989bd80d72c620aa9ac4c62c021cf4bd9d6", "title": "Video structured description technology based intelligence analysis of surveillance videos for public security applications", "addresses": [{"name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "source_name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "street_adddress": "China, Shanghai, Xuhui, \u5cb3\u9633\u8def76\u53f7", "lat": "31.20700600", "lng": "121.45196400", "type": "gov", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3112-5"]}, {"id": "33526226231cce669317ece44e6af262b8395dd9", "title": "CRF-CNN: Modeling Structured Information in Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00468.pdf"], "doi": []}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "52c141b9b7739dbacc93e3e661a15c84853d4094", "title": "A Multi-loss Deep Network Based on Pyramid Pooling for Person Re-identification", "addresses": [{"name": "Xi'an Jiantong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xi'an Jiantong University, Xi'an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "source_name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623067"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "beb0239feac388e4ee04492159a45f7e2c71e1e3", "title": "POI: Multiple Object Tracking with High Performance Detection and Appearance Feature", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.06136.pdf"], "doi": []}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "47f4dec5f733e933c8b9a8fdcda9419741f2bf62", "title": "Adversarial Metric Attack for Person Re-identification", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10650.pdf"], "doi": []}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "9c675774d49be7ba428c80142cb63ed4267d3c46", "title": "Low illumination person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6239-3"]}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "title": "Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6409-3"]}, {"id": "424cce55355f2fa4b3c020d56967e1f7b82b1de9", "title": "M 2 M-GAN : Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/424c/ce55355f2fa4b3c020d56967e1f7b82b1de9.pdf"], "doi": []}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "9c2978428e35f27a851432dd44f1d2721e0e10e3", "title": "A traffic object classification pipeline based on CNNs", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7382581"]}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "8de7da01bf4c2643f36dae4a8d2fa04906daff02", "title": "An enhanced triplet CNN based on body parts for person re-identificacion", "addresses": [{"name": "Universidad Cat\u00f3lica San Pablo, Arequipa, Per\u00fa", "source_name": "Universidad Cat\u00f3lica San Pablo, Arequipa, Per\u00fa", "street_adddress": "Quinta Vivanco s/n, Urb. Campi\u00f1a Paisajista, Arequipa 04001, Peru", "lat": "-16.39013840", "lng": "-71.53571610", "type": "edu", "country": "Peru"}, {"name": "Universidad Nacional de San Agust\u00edn, Arequipa, Per\u00fa", "source_name": "Universidad Nacional de San Agust\u00edn, Arequipa, Per\u00fa", "street_adddress": "Arequipa, Peru", "lat": "-16.40546170", "lng": "-71.52082910", "type": "edu", "country": "Peru"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8405126", "http://doi.org/10.1109/SCCC.2017.8405126"]}, {"id": "6abe0a851064e0c5068c37067f2227d53127f69b", "title": "Hetero-Manifold Regularisation for Cross-Modal Hashing", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801124"]}, {"id": "b086e278c5ac61c024e89b302fec87b2aecf9281", "title": "Which Part is Better: Multi-Part Competition Network for person Re-Identification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545848"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "fac6b4562053853db517ff6511c6daff2e6a1a7b", "title": "Deep Low-Resolution Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fac6/b4562053853db517ff6511c6daff2e6a1a7b.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "72f6bc80258293bddcca325fe95ce8df36ae6f06", "title": "An effective approach to crowd counting with CNN-based statistical features", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090827"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "3c8f916264e8d15ba1bc618c6adf395e86dd7b40", "title": "Generating Descriptions with Grounded and Co-referenced People", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01518.pdf"], "doi": []}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "bdd3e33cb78965bcd15d69b7902c813b2ac864ff", "title": "GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123279"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "6355f7fd956466e8e9f09b297e6cdd155d66740e", "title": "EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.08153.pdf"], "doi": []}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "9d5a6d12b39c6574fe284d779d2c23c2800bb283", "title": "Vehicle Re-Identification by Deep Hidden Multi-View Inference", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325486", "http://doi.org/10.1109/TIP.2018.2819820", "https://www.ncbi.nlm.nih.gov/pubmed/29641406"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "ac32cdb3e0a996c75d5df2973c1a2444a81c0a5e", "title": "Defense Against Adversarial Attacks with Saak Transform", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01785.pdf"], "doi": []}, {"id": "d70d0bf360f4007c06407b7634c617979ac703b1", "title": "Person Re-Identification With A Joint Learning CNN Network And A New Global Loss Function", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551553"]}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "781f4b1732cffc30f315eff94d53965a8fd9324f", "title": "Recent Advances in Deep Learning: An Overview", "addresses": [{"name": "Chittagong University of Engineering and Technology", "source_name": "Chittagong University of Engineering and Technology", "street_adddress": "Shaheed Tareq Huda Hall, Goal Chattar, \u099a\u099f\u09cd\u099f\u0997\u09cd\u09b0\u09be\u09ae, \u099a\u099f\u09cd\u099f\u0997\u09cd\u09b0\u09be\u09ae \u099c\u09c7\u09b2\u09be, \u099a\u099f\u09cd\u099f\u0997\u09cd\u09b0\u09be\u09ae \u09ac\u09bf\u09ad\u09be\u0997, 4349, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "22.46221665", "lng": "91.96942263", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08169.pdf"], "doi": []}, {"id": "3f69a9ef0f98a3936bc905e792cfe8a7d313b565", "title": "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08402.pdf"], "doi": []}, {"id": "3b3686f87f9a22db2bda99cb279c817e7f8a001b", "title": "Person re-identification method based on CNN and manually-selected feature fusion", "addresses": [{"name": "Guilin University of Electronic Technology Guangxi Guilin", "source_name": "Guilin University of Electronic Technology Guangxi Guilin", "street_adddress": "\u6842\u6797\u7535\u5b50\u79d1\u6280\u5927\u5b66\u91d1\u9e21\u5cad\u6821\u533a, 1\u53f7, \u91d1\u9e21\u8def, \u4e03\u661f\u533a, \u9ec4\u83ba\u5ca9\u6751, \u4e03\u661f\u533a, \u6842\u6797\u5e02, \u5e7f\u897f\u58ee\u65cf\u81ea\u6cbb\u533a, 541004, \u4e2d\u56fd", "lat": "25.28739920", "lng": "110.33242770", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393401", "http://doi.org/10.1109/FSKD.2017.8393401"]}, {"id": "a34f8768b10d928aa4f4105afb971819c26a2219", "title": "Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485730"]}, {"id": "f89e5b1f61b221c7b00db55b64239a28f8ba9fe0", "title": "Ensemble Learning-Based Person Re-identification with Multiple Feature Representations", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f89e/5b1f61b221c7b00db55b64239a28f8ba9fe0.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "title": "A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410791"]}, {"id": "7af4ee644a0b4269a080fc491f443b32d6930bff", "title": "Deep Multi-View Feature Learning for Person Re-Identification", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "UBTECH Robotics, Shenzhen, China", "source_name": "UBTECH Robotics, Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7979595", "http://doi.org/10.1109/TCSVT.2017.2726580"]}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "411278b73afedca6976f02a8d3a38cdec3337f87", "title": "Cross-view projective dictionary learning for person re-identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ijcai.org/Proceedings/15/Papers/305.pdf", "http://www.ijcai.org/Proceedings/15/Papers/305.pdf"], "doi": ["http://ijcai.org/Abstract/15/305"]}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "title": "Attributes co-occurrence pattern mining for video-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078469", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078469", "http://doi.org/10.1109/AVSS.2017.8078469"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "e7d840cf207802918e5b09af0a650b8f38f824a8", "title": "Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03989.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc", "title": "Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory", "addresses": [{"name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "source_name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "street_adddress": "Zoumaliang Rd, Banan Qu, Chongqing Shi, China", "lat": "29.42475500", "lng": "106.53683700", "type": "edu", "country": "China"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451174", "http://doi.org/10.1109/ICIP.2018.8451174"]}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "c87f7ee391d6000aef2eadb49f03fc237f4d1170", "title": "A real-time and unsupervised face Re-Identification system for Human-Robot Interaction", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1804.03547.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "c8c60abb7cef001213d951d041e5f03042de0df5", "title": "Person re-identification with deep dense feature representation and Joint Bayesian", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296945", "http://doi.org/10.1109/ICIP.2017.8296945"]}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "84f047ff1665f7fdb7653047caf4d43c2c9576c2", "title": "Person re-identification with pre-trained deep learning models and attribute correlations", "addresses": [{"name": "University of Information Technology", "source_name": "Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam", "street_adddress": "Khu ph\u1ed1 6 P, Vietnam", "lat": "10.87030000", "lng": "106.80345130", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886726"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "fccd0406749aecf76741460de7499689ebf4c676", "title": "Integrating Egocentric Videos in Top-View Surveillance Videos: Joint Identification and Temporal Alignment", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fccd/0406749aecf76741460de7499689ebf4c676.pdf"], "doi": []}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "589d06db45e2319b29fc96582ea6c8be369f57ed", "title": "Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/589d/06db45e2319b29fc96582ea6c8be369f57ed.pdf"], "doi": []}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "61f56afc7713ebfacfe382d1824966cb9b967d34", "title": "An Ensemble of Invariant Features for Person Reidentification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Huawei Research and Development, Santa Clara, CA", "source_name": "Huawei Research and Development, Santa Clara, CA, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779129", "http://doi.org/10.1109/TCSVT.2016.2637818"]}, {"id": "a89c12bae45ec11742c50261d6e2505272369d41", "title": "Foreground Gated Network for Surveillance Object Detection", "addresses": [{"name": "Alibaba Group, Hangzhou, China", "source_name": "Alibaba Group, Hangzhou, China", "street_adddress": "Alibaba Group, \u4e94\u5e38\u8857\u9053, \u4f59\u676d\u533a (Yuhang), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, \u4e2d\u56fd", "lat": "30.28106540", "lng": "120.02139087", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Zhejiang University Embedded System Engineering Research Center", "source_name": "Ministry of Education of China, Zhejiang University Embedded System Engineering Research Center", "street_adddress": "Zhiquan Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310000", "lat": "30.26182300", "lng": "120.12222400", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Zhejiang Provincial Key Laboratory for Network Multimedia Technologies", "source_name": "Zhejiang Provincial Key Laboratory for Network Multimedia Technologies", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499396", "http://doi.org/10.1109/BigMM.2018.8499396"]}, {"id": "b7bc6a2dfe99668457b67007400f5ab760386d0c", "title": "A Siamese inception architecture network for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0843-5"]}, {"id": "89198580f18cad7f62393732868a977ffae57917", "title": "Person re-identification by distance metric learning to discrete hashing", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532465", "http://doi.org/10.1109/ICIP.2016.7532465"]}, {"id": "a6bc69831dea3efc5804b8ab65cf5a06688ddae0", "title": "Crossing Generative Adversarial Networks for Cross-View Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01760.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "21123fde70a1b2614fb4485d9ce786d2cc85a1ea", "title": "Graph regularized low-rank matrix recovery for robust person re-identification", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["http://mml.citi.sinica.edu.tw/papers/ICIP_2015_Tsai.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351689", "http://doi.org/10.1109/ICIP.2015.7351689"]}, {"id": "6b7e552ca66fd3235e99115d6f072061b9ada181", "title": "Extensive Comparison of Visual Features for Person Re-identification", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007741"]}, {"id": "d4b34e327b62b7f3fbddfc403e4642b17245a3b7", "title": "Partial Person Re-identification with Alignment and Hallucination", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09162.pdf"], "doi": []}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "b85e71d4e68588211c877fff8cda267b3a6bb6c9", "title": "End-to-end learning of motion , appearance and interaction cues for multi-target tracking", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b85e/71d4e68588211c877fff8cda267b3a6bb6c9.pdf"], "doi": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "058d50af5456665dccda2b41b17bdfead72bdec8", "title": "Learning Non-Metric Visual Similarity for Image Retrieval", "addresses": [{"name": "Aston University", "source_name": "Aston University", "street_adddress": "Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK", "lat": "52.48620785", "lng": "-1.88849915", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01353.pdf"], "doi": []}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "1adbcca753c7b4f22cf3d6bc3a9579573d4d5846", "title": "Sample-Specific SVM Learning for Person Re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Omron Corporation", "source_name": "Omron corporation", "street_adddress": "3709 Ohio Ave, St. Charles, IL 60174, USA", "lat": "41.91256730", "lng": "-88.26993760", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Sample-Specific_SVM_Learning_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Sample-Specific_SVM_Learning_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780512", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.143", "http://doi.org/10.1109/CVPR.2016.143"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "34b8e675d4651db45e484da34f3c415c60ef3ea2", "title": "DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01220.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "80be8624771104ff4838dcba9629bacfe6b3ea09", "title": "Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890265.pdf", "http://www.ifp.illinois.edu/~moulin/Papers/ECCV14-jiwen.pdf", "http://www.ntu.edu.sg/home/wanggang/LuECCV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944673", "http://doi.org/10.1109/TIP.2017.2713940", "https://www.ncbi.nlm.nih.gov/pubmed/28613171", "https://www.wikidata.org/entity/Q50434985"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "c1660197f94786364e624efed4ba03c0d8ab6161", "title": "Robust dictionary learning with graph regularization for unsupervised person re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5202-z"]}, {"id": "b54ed594267ead88b99bed3230e0453f54d00873", "title": "Human Recognition by Appearance and Gait", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768818040035"]}, {"id": "0e85b9c05d6f6d190f7c0434e3356a8bfb97bdec", "title": "Person Re-Identification with Vision and Language", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545582"]}, {"id": "ebe8408052d9bf05dc2007d01559dda6129840eb", "title": "Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05769.pdf"], "doi": []}, {"id": "5025a2f2a2d53db48f9504be93358c3ec5261646", "title": "Dual Channel Gradient feature for person re-identification", "addresses": [{"name": "PLA University of Science & Technology", "source_name": "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7752447", "http://doi.org/10.1109/WCSP.2016.7752447"]}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "82430878b6ee7a427ac389b51407599909576084", "title": "Saliency preprocessing for person re-identification images", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001941.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472015", "http://doi.org/10.1109/ICASSP.2016.7472015"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "ac36284cfa95e613f9e726cd017a5dca207fe633", "title": "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7859378", "http://doi.org/10.1109/TIP.2017.2672440", "https://www.ncbi.nlm.nih.gov/pubmed/28237930", "https://www.wikidata.org/entity/Q53478605"]}, {"id": "d1d90bbc6bb4fdb0d928ff74bfd8671aaafa070e", "title": "Neural Person Search Machines", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06777.pdf"], "doi": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "b42a8f2703867639f7ce68229b0916015878c5eb", "title": "Evaluating features for person re-identification", "addresses": [{"name": "PLA University of Science & Technology", "source_name": "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888255"]}, {"id": "14d72dc9f78d65534c68c3ed57305f14bd4b5753", "title": "Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Yan_Exploiting_Multi-Grain_Ranking_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237330", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.68", "http://doi.org/10.1109/ICCV.2017.68"]}, {"id": "1977d67a8db78d483a25c9fc6ad2ffad8d80c41c", "title": "A Unsupervised Person Re-identification Method Using Model Based Representation and Ranking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2807399"]}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "64c1d9a031ec0e6785dc92edc0d00cc0802e32b0", "title": "Key Person Aided Re-identification in Partially Ordered Pedestrian Set", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.10017.pdf"], "doi": []}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "16701e3cbd43b52e32d567649a194245dcd31829", "title": "Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1670/1e3cbd43b52e32d567649a194245dcd31829.pdf"], "doi": []}, {"id": "d56a262763c84d2bb21e9ea40f2517610f61d05f", "title": "Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "addresses": [{"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126708"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "631c4ca00eaa65b801c63d32c0f564e974009ddd", "title": "Self-attention Learning for Person Re-identification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/631c/4ca00eaa65b801c63d32c0f564e974009ddd.pdf"], "doi": []}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "30666d175714e29f03a2a649955e714b0cfd88cc", "title": "Two-stream person re-identification with multi-task deep neural networks", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0915-1"]}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "7b51e4cf4f38c581d95b2c07457fc9a76058ddbf", "title": "Part-based Multi-stream Model for Vehicle Searching", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546191"]}, {"id": "6b6207c49c7b41b171388fc2228304de148f0a96", "title": "Person Search by Multi-Scale Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08582.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3", "title": "Unifying Identification and Context Learning for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03084.pdf"], "doi": []}, {"id": "443acd268126c777bc7194e185bec0984c3d1ae7", "title": "Retrieving relative soft biometrics for semantic identification", "addresses": [{"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://eprints.soton.ac.uk/402985/1/icpr-16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900105", "http://doi.org/10.1109/ICPR.2016.7900105"]}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c", "title": "Cross-domain attribute representation based on convolutional neural network", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07295.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "d348197e47a8e081bd3f12a22bc52b055ecd8302", "title": "Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07085.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "de46fbad976ec6f02e53c70c1f92b4beb4d84f35", "title": "Online Cross-Modal Adaptation for Audio\u2013Visual Person Identification With Wearable Cameras", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2016_THMS_OnLineCrossModalAdaptation_Brutti_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7742962", "http://doi.org/10.1109/THMS.2016.2620110"]}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "b55914fe572bd2449234eb05c300b32ad94e97d8", "title": "Person re-identification using multiple features fusion", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846660"]}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "dataset": {"key": "cuhk_campus_03", "name_short": "CUHK03 Campus", "name_display": "CUHK03 Campus Dataset", "name_full": "China University of Hong Kong Person Re-identification Dataset \"Campus 03\"", "purpose": "Person re-identification", "comment": "", "funded_by": "Research Grants Council of Hong Kong (Project No. CUHK 417110, CUHK 417011, CUHK 429412)", "license": "", "url": "http://www.ee.cuhk.edu.hk/~xgwang/CUHK_identification.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "Y", "cyberspace": "", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "13,164 ", "videos": "", "identities": "1,360 ", "img_per_person": "", "num_cameras": "6", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "pr_id, ped_detect ", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "Y", "notes": "discrepancey on identity numbers", "derivative_of": ""}, "paper": {"paper_id": "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "key": "cuhk_campus_03", "title": "Human Reidentification with Transferred Metric Learning", "year": "2012", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/liZWaccv12.pdf"], "address": "", "name": "CUHK03 Campus", "doi": ["https://doi.org/10.1007/978-3-642-37331-2_3"]}, "addresses": [], "additional_papers": [{"paper_id": "38b55d95189c5e69cf4ab45098a48fba407609b4", "key": "cuhk_campus_03", "title": "Locally Aligned Feature Transforms across Views", "year": "2013", "pdf": [], "address": "", "name": "CUHK03 Campus", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619305"]}, {"paper_id": "6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3", "key": "cuhk_campus_03", "title": "DeepReID: Deep Filter Pairing Neural Network for Person Re-identification", "year": "2014", "pdf": [], "address": "", "name": "CUHK03 Campus", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909421"]}], "citations": [{"id": "359c2483195a3217095dcf8738abe47181a0fc94", "title": "Person Reidentification via Discrepancy Matrix and Matrix Metric", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://wangzwhu.github.io/home/slides-nj-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8059849", "http://doi.org/10.1109/TCYB.2017.2755044", "https://www.ncbi.nlm.nih.gov/pubmed/28991756"]}, {"id": "79931447522097044cbc89e4bc2f69dd6e8f0e58", "title": "Person Re-identification by Multi-hypergraph Fusion", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7560601", "http://doi.org/10.1109/TNNLS.2016.2602082", "https://www.ncbi.nlm.nih.gov/pubmed/28113383"]}, {"id": "e9e04b36f88199a492db6ce7ffdb4e76dc7cc966", "title": "An Enhanced Deep Convolutional Neural Network for Person Re-Identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing", "source_name": "Academy of Broadcasting Science, Beijing", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551570"]}, {"id": "3fd7bfd90f0dfc3369bfe718e27aff30cf268c23", "title": "Learning Mid-level Filters for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Learning_Mid-level_Filters_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhaoOWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909420", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.26", "http://doi.org/10.1109/CVPR.2014.26"]}, {"id": "808ed09fc6d56aa221e95e82d3ed37a9cce1da88", "title": "Datum-Adaptive Local Metric Learning for Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001603", "http://doi.org/10.1109/LSP.2014.2387847"]}, {"id": "b15cfd1e2f46a943328fa32fe0a571b8f7073b9f", "title": "Person Re-Identification by Deep Learning Muti-Part Information Complementary", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451645", "http://doi.org/10.1109/ICIP.2018.8451645"]}, {"id": "b33bbdac96c3540ebb07c3655643e6badc368c59", "title": "MultiMedia Modeling", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Shanghai Jitotong University", "source_name": "Shanghai Jitotong University, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "University of Newcastle", "source_name": "University of Newcastle", "street_adddress": "University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia", "lat": "-33.35788990", "lng": "151.37834708", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-14442-9"]}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "ac5c5be6234c459fedea5d66fd34e916e4730949", "title": "Body structure based triplet Convolutional Neural Network for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001772.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952461", "http://doi.org/10.1109/ICASSP.2017.7952461"]}, {"id": "754ee07789f6ff28fc121bb9f771895e971ac28c", "title": "Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01719.pdf"], "doi": []}, {"id": "b58f3fb5bd3e36990a7c6a2f8cbb67edeb2ae764", "title": "Person Re-Identification by Optimally Organizing Multiple Similarity Measures", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}, {"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107485", "http://doi.org/10.1109/ACCESS.2017.2771138"]}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "454f403857e487d6a885180e0e0f7216a342fb0e", "title": "Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/454f/403857e487d6a885180e0e0f7216a342fb0e.pdf"], "doi": []}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "d1ba33106567c880bf99daba2bd31fe88df4ecba", "title": "Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03160.pdf"], "doi": []}, {"id": "85cbeac58cb0a6010836ddd8b2d093eabd31767c", "title": "Distance Aggregation based Score Fusion for improving person re-identification", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943446", "http://doi.org/10.1109/THS.2017.7943446"]}, {"id": "76e48cd3b4b25cdb6c094ff660ed8e43be1e2f34", "title": "What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07074.pdf"], "doi": []}, {"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "15d99a8ebf09304916a082a4effdb215ff0a54f0", "title": "Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451494", "http://doi.org/10.1109/ICIP.2018.8451494"]}, {"id": "aa8447c65f93670820124e0a99a2b5e3536700be", "title": "Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489698", "http://doi.org/10.1109/IJCNN.2018.8489698"]}, {"id": "4770f73bc3ad0097fc8cdff3a3f8feaed1060595", "title": "Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric Learning", "addresses": [{"name": "University of Technology, Australia", "source_name": "Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6838984", "http://doi.org/10.1109/TIP.2014.2331755", "https://www.ncbi.nlm.nih.gov/pubmed/24956368", "https://www.wikidata.org/entity/Q46605898"]}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "00a6d711f2bf7974384d2f4b5e61d0bbc493a6b7", "title": "Adaptive Margin Nearest Neighbor for Person Re-Identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Collaborative Innovation Center of Geospatial Technology, Wuhan, China", "source_name": "Collaborative Innovation Center of Geospatial Technology, Wuhan, China", "street_adddress": "Yinghua Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China", "lat": "30.44986200", "lng": "114.26988700", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/00a6/d711f2bf7974384d2f4b5e61d0bbc493a6b7.pdf"], "doi": []}, {"id": "16a61b9b213cf5d9020a3cfdf3c1575b1fac8c07", "title": "Dense invariant feature based support vector ranking for person re-identification", "addresses": [{"name": "Anhui University, Hefei, China", "source_name": "Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University Hefei 230039, China", "street_adddress": "327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.85562500", "lng": "117.27557000", "type": "gov", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418284", "http://doi.org/10.1109/GlobalSIP.2015.7418284"]}, {"id": "f2843da00dc202eb8748b1b690f7b5dd0849af20", "title": "Regularized Bayesian Metric Learning for Person Re-identification", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f284/3da00dc202eb8748b1b690f7b5dd0849af20.pdf"], "doi": []}, {"id": "ad01687649d95cd5b56d7399a9603c4b8e2217d7", "title": "Investigating Open-World Person Re-identification Using a Drone", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ad01/687649d95cd5b56d7399a9603c4b8e2217d7.pdf"], "doi": []}, {"id": "9785429538389146c8061ec856e74e957a246f2d", "title": "DARI: distance metric and representation integration for person verification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04377.pdf"], "doi": []}, {"id": "76977a8e7afd645e83d3e5aaca47a44922188d47", "title": "Reference-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_avss.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/Reference-Based%20Person%20Re-Identification13.pdf", "http://www.ee.ucr.edu/~lan/papers/AVSS13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636647", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636647", "http://doi.org/10.1109/AVSS.2013.6636647"]}, {"id": "37d7cb06c0a1e632dedcc1f23db22cbdc130e6aa", "title": "Pyramid Person Matching Network for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1803.02547.pdf"], "doi": []}, {"id": "3c975c6af75d62336b6d90d2c920f82021726f68", "title": "A verify-correct approach to person re-identification based on Partial Least Squares signatures", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2015", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2015/06/paper_2015_ICB_Prado.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139088", "http://doi.org/10.1109/ICB.2015.7139088"]}, {"id": "38b55d95189c5e69cf4ab45098a48fba407609b4", "title": "Locally Aligned Feature Transforms across Views", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619305"]}, {"id": "1b93698c1784db4abf72b500e51d4806e6430522", "title": "Re-id: Hunting Attributes in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1b93/698c1784db4abf72b500e51d4806e6430522.pdf"], "doi": []}, {"id": "0994b8a23880be0b28c0c4b214b6d4ae91d1182f", "title": "Bi-directional superpixel earth mover's distance for training free person re-identification", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8096040", "http://doi.org/10.1109/ICDSP.2017.8096040"]}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "712590793270e2f115fbd8891314a413047fccc3", "title": "Late Fusion in Part-based Person Re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3056640"]}, {"id": "974b9f0af3af675c092b96e7ac68e391cffdcf49", "title": "Person Re-identification Using Data-Driven Metric Adaptation", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/974b/9f0af3af675c092b96e7ac68e391cffdcf49.pdf"], "doi": []}, {"id": "498af0c92b41f02ae328857020bc5e01df59c252", "title": "Contextual Similarity Regularized Metric Learning for person re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899937", "http://doi.org/10.1109/ICPR.2016.7899937"]}, {"id": "6782b148bd2de66cd73f3d69f481d40cce866fff", "title": "Robust relationship learning to illumination in a camera network", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8330588"]}, {"id": "e74cc004dc22ac30ddb77b6750aa326bbd41082f", "title": "Person re-identification based on deep multi-instance learning", "addresses": [{"name": "MTA SZTAKI Institute for Computer Science and Control", "source_name": "MTA SZTAKI Institute for Computer Science and Control", "street_adddress": "Budapest, Kende u. 13, 1111 Hungary", "lat": "47.47828280", "lng": "19.05210750", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081471"]}, {"id": "0843ec2b76ef9401e60654fbfe71bac44ed19fae", "title": "A Two-Stage Approach for Bag Detection in Pedestrian Images", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0843/ec2b76ef9401e60654fbfe71bac44ed19fae.pdf"], "doi": []}, {"id": "7f45292369a5214984b4a15c65330ada474b0150", "title": "Person re-identification with spatial appearance group feature", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7568919"]}, {"id": "0d754504848d071936a5d603c8b3db0c48a3da6d", "title": "DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7502111", "http://doi.org/10.1109/TCSVT.2016.2586851"]}, {"id": "18ab9be9af94f2bf4d3828161ffb232d1462526a", "title": "SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Barman_SHaPE_A_Novel_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237389", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.127", "http://doi.org/10.1109/ICCV.2017.127"]}, {"id": "e23a75430f777e982b0715b6f8a048d4bbfea438", "title": "Maximum Margin Metric Learning over Discriminative Nullspace for Person Re-identification", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10908.pdf"], "doi": []}, {"id": "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "title": "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/PengEtAl_CVPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.146", "http://doi.org/10.1109/CVPR.2016.146"]}, {"id": "8edcd935362c899e630349784e4ff8adb3a69cdc", "title": "Person re-identification using deformable patch metric learning", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20160304002207/Person-Re-identification-using-Deformable-Patch-Metric-Learning-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477590", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477590", "http://doi.org/10.1109/WACV.2016.7477590"]}, {"id": "611849b55ef6b164f21e52cefd05300041e72152", "title": "A MultiTask Deep Network for Person Re-Identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6118/49b55ef6b164f21e52cefd05300041e72152.pdf"], "doi": []}, {"id": "a855b07ab632ef67b0538325acc34e38f000245d", "title": "Deep neural network for person re-identification in a non-overlapping camera network", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217574", "http://doi.org/10.1109/ICCAIS.2017.8217574"]}, {"id": "c8c714c100a754baf7d86d240ec35207fcf84b06", "title": "Person Re-identification Meets Image Search.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02171.pdf"], "doi": []}, {"id": "ff8c21c13c9f442e6cebe405be4a4ce09a7fb98a", "title": "Background removal for improving saliency-based person re-identification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7758077", "http://doi.org/10.1109/KSE.2016.7758077"]}, {"id": "a9be351910ad6b1819764fbaf04caa69f27548a2", "title": "Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera Person Reidentification", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "University of Sheffield", "source_name": "The University of Sheffield", "street_adddress": "University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK", "lat": "53.38152480", "lng": "-1.48068143", "type": "edu", "country": "United Kingdom"}, {"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://ueaeprints.uea.ac.uk/62234/1/Accepted_manuscript.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7456248", "http://doi.org/10.1109/TCSVT.2016.2555739"]}, {"id": "6701efa7f715b3c296843b8ff5414a6610711cf9", "title": "Semi-automatic image and video annotation system for generating ground truth information", "addresses": [{"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8343233", "http://doi.ieeecomputersociety.org/10.1109/ICOIN.2018.8343233", "http://doi.org/10.1109/ICOIN.2018.8343233"]}, {"id": "7969cc315bbafcd38a637eb8cd5d45ba897be319", "title": "An enhanced deep feature representation for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07807.pdf"], "doi": []}, {"id": "063f78c20405158d87114a8aef1bb7557230bd89", "title": "An improved deep learning architecture for person re-identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://medialab.sjtu.edu.cn/teaching/CV/hw/related_papers/6_reid.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Ahmed_An_Improved_Deep_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_062.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_062_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Ahmed_An_Improved_Deep_2015_CVPR_paper.pdf", "http://www.merl.com/publications/docs/TR2015-076.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299016", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299016", "http://doi.org/10.1109/CVPR.2015.7299016"]}, {"id": "2e59865aa2ddcecaf9275abcad9b134558c686c2", "title": "Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf", "http://www4.comp.polyu.edu.hk/~cslzhang/paper/cvpr16/SIR-CIR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780513", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.144", "http://doi.org/10.1109/CVPR.2016.144"]}, {"id": "19bcd3bd41825a67f48db701a68030c5e6763152", "title": "Partial Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengEtAl_ICCV2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410888", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.531", "http://doi.org/10.1109/ICCV.2015.531"]}, {"id": "09d78009687bec46e70efcf39d4612822e61cb8c", "title": "Consistent Re-identification in a Camera Network", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c27f/099e6e7e3f7f9979cbe9e0a5175fc5848ea0.pdf"], "doi": []}, {"id": "1bcf142e3b2f5a7ade185f220ee031657203c293", "title": "Data-augmentation for reducing dataset bias in person re-identification", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.qub.ac.uk/sites/CSIT/InnovationatCSIT/ResearchGroups/IntelligentSurveillanceSystems/Data-AugmentationforReducingDatasetBiasinPersonRe-identification/Filetoupload,525207,en.pdf", "https://core.ac.uk/download/pdf/33587140.pdf", "https://pure.qub.ac.uk/portal/files/16612194/AMMDS_camera_ready_v2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301739", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301739", "http://doi.org/10.1109/AVSS.2015.7301739"]}, {"id": "0a103350842cca3794a784fb04ed70ca78e7f29d", "title": "A method of multi-criteria set recognition based on deep feature representation", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5385-3"]}, {"id": "a6840267e169382d3c5ab2645f6da60dd842d6ac", "title": "Person Re-Identification via Unsupervised Transfer of Learned Visual Representations", "addresses": [{"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131923"]}, {"id": "6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3", "title": "DeepReID: Deep Filter Pairing Neural Network for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909421"]}, {"id": "bf976d746b1223a60e93f6fcb1321e433eda94f6", "title": "Robust Color Invariant Model for Person Re-Identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46654-5_76"]}, {"id": "e9b72a152928f683aad5f81347777534b6715e67", "title": "Person re-identification with mutual re-ranking", "addresses": [{"name": "University of Information Technology", "source_name": "Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam", "street_adddress": "Khu ph\u1ed1 6 P, Vietnam", "lat": "10.87030000", "lng": "106.80345130", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s40595-016-0093-x"]}, {"id": "274e8c0c513ff82713f2f332694cf2b29b7c3bb1", "title": "0 Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/274e/8c0c513ff82713f2f332694cf2b29b7c3bb1.pdf"], "doi": []}, {"id": "e9835bb131287d711e5e5435a5df8ce5302acb31", "title": "Person Re-identification by Unsupervised ` 1 Graph Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e983/5bb131287d711e5e5435a5df8ce5302acb31.pdf"], "doi": []}, {"id": "64e4d1152cd43193f2f9a33c0fa2800b1aab1d55", "title": "A codebook of brightness transfer functions for improved target re-identification across non-overlapping camera views", "addresses": [{"name": "Iowa State University", "source_name": "Iowa State University", "street_adddress": "Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA", "lat": "42.02791015", "lng": "-93.64464415", "type": "edu", "country": "United States"}, {"name": "Syracuse University", "source_name": "Syracuse University", "street_adddress": "Syracuse, NY, USA", "lat": "43.03915340", "lng": "-76.13511580", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308625", "http://doi.org/10.1109/GlobalSIP.2017.8308625"]}, {"id": "6c572562a906f6c94d8f2e91895c161cbb0fa4cc", "title": "Multi-Channel Pyramid Person Matching Network for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02558.pdf"], "doi": []}, {"id": "35bddbae441ae8d5f381b3aa343d12eae3196efa", "title": "Person re-identification by discriminant analytical least squares metric learning", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "Guangzhou University", "source_name": "Guangzhou University", "street_adddress": "\u5e7f\u5dde\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u897f\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u5357\u6751\u9547, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04436505", "lng": "113.36668458", "type": "edu", "country": "China"}, {"name": "UBTECH Robotics, Shenzhen, People's Republic of China", "source_name": "UBTECH Robotics, Shenzhen, People\u2019s Republic of China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0917-z"]}, {"id": "592bbab1e073908c75584879bc00911e7246aebf", "title": "Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/06/FG2017_presentation-Julio.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961756", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.133", "http://doi.org/10.1109/FG.2017.133"]}, {"id": "5da0e870d1f9161989ee9110c932477b3030d501", "title": "Low-resolution person recognition using image downsampling", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986904", "http://doi.org/10.23919/MVA.2017.7986904"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "4679f58139f1be2aab2598378555f277bc299d2a", "title": "Online learning of dynamic multi-view gallery for person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3015-5"]}, {"id": "ccf934a335793fe416b0115183783d2c355b64ed", "title": "Query Based Adaptive Re-ranking for Person Re-identification", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ccf9/34a335793fe416b0115183783d2c355b64ed.pdf"], "doi": []}, {"id": "3147bb14bf4228735ecf4bc2a421590b3de86c0f", "title": "Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Liao_Efficient_PSD_Constrained_ICCV_2015_paper.pdf", "http://www.cbsr.ia.ac.cn/users/scliao/papers/Liao-ICCV15-MLAPG.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Liao_Efficient_PSD_Constrained_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410777", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.420", "http://doi.org/10.1109/ICCV.2015.420"]}, {"id": "ec85c3f57594afa77a8b0e516035550ef6f79db4", "title": "Support Neighbor Loss for Person Re-Identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06030.pdf"], "doi": []}, {"id": "67538df7950dbba0ab7885a23b7abf6f56f39537", "title": "Person Re-identification by Salience Matching", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhao_Person_Re-identification_by_2013_ICCV_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhaoOWiccv13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751425", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.314", "http://doi.org/10.1109/ICCV.2013.314"]}, {"id": "16e5d7b733086e0a7dbebc7218f80da53bd71646", "title": "Constraint patch matching for faster person re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947703", "http://doi.org/10.1109/ISBA.2017.7947703"]}, {"id": "6a2ecd18bba2667cefe1f9c3689c7cbe0380a276", "title": "An Enhanced Metric Learning for Person Reidentification", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455774"]}, {"id": "9b17f368d038a7d7e4304089c0270e81f0b4eb6c", "title": "Discriminative Structural Metric Learning for Person Reidentification in Visual Internet of Things", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8022862"]}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "1ce69b2ab1821b7434c099c2c2d65a2cef878645", "title": "Semi-supervised Region Metric Learning for Person Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1075-5"]}, {"id": "10952c8fed04a5847192decdecfeee03c9ea997f", "title": "Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification", "addresses": [{"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8469088", "http://doi.org/10.1109/TIP.2018.2870941", "https://www.ncbi.nlm.nih.gov/pubmed/30235128"]}, {"id": "628aea69160e273ae3b3ae982deb11e9089d0336", "title": "Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.pkuml.org/wp-content/uploads/2013/07/2017_TIP_DFC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016659", "http://doi.org/10.1109/TIP.2017.2745203", "https://www.ncbi.nlm.nih.gov/pubmed/28858800", "https://www.wikidata.org/entity/Q38599921"]}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "813cc31130ceab1668da1ac6646eea4b6a4be6b6", "title": "A new deep representation for large-scale scene classification", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Zhejiang Huayun, Zhejiang, China", "source_name": "Zhejiang Huayun, Zhejiang, China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5322-5"]}, {"id": "1fbc81959c49d04e292ef4cfc68dd431105cdd83", "title": "Enhanced Deep Feature Representation for Person Search", "addresses": [{"name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "source_name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}, {"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-7305-2_28"]}, {"id": "2dbff0b15221234e00bec4a00b4897c631904fcf", "title": "Learning Efficient Image Representation for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02319.pdf"], "doi": []}, {"id": "0a85bdff552615643dd74646ac881862a7c7072d", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299113"]}, {"id": "57c5501d9937fa43291dbd3f95288aded8b2dca1", "title": "Groups Re-identification with Temporal Context", "addresses": [{"name": "INRIA, Sophia Antipolis, France", "source_name": "INRIA, Sophia Antipolis, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078978"]}, {"id": "febff0f6faa8dde77848845e4b3e6f6c91180d33", "title": "Embedding Deep Metric for Person Re-identication A Study Against Large Variations", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00137.pdf"], "doi": []}, {"id": "faffbf70dbd094346bad9b8a4ddeb973c51a70a9", "title": "Cross-Scenario Transfer Person Reidentification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://xiaojuanwang.com/Slides/CrossScenarioTransferReid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7137647", "http://doi.org/10.1109/TCSVT.2015.2450331"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "26e39719a8dd2a554a825dba86fb244dcaaac4aa", "title": "Person re-identification via rich color-gradient feature", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/121800/4/copy+of+paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552869", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552869", "http://doi.org/10.1109/ICME.2016.7552869"]}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "b866bafa296ae836726a8a1df78639ad9533623b", "title": "Occlusion detector using convolutional neural network for person re-identification", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217564", "http://doi.org/10.1109/ICCAIS.2017.8217564"]}, {"id": "6448acca3bf4d14ad44756974a6486a317095a54", "title": "Deep multi-instance learning for end-to-end person re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4896-2"]}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "9ab57be9cd26652fcc02ce994ee53ede05cfa79c", "title": "Online learning on incremental distance metric for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7090533", "http://doi.org/10.1109/ROBIO.2014.7090533"]}, {"id": "3441edf456e25b222d7b237b96faa7e3e00daaf7", "title": "Person re-identification via adaboost ranking ensemble", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ucassdl.cn/publication/icip-lizhaoju.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533165", "http://doi.org/10.1109/ICIP.2016.7533165"]}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "de02043fd479a2bcf23d30ab4496cc4e0d84f699", "title": "Zero-Shot Person Re-identification via Cross-View Consistency", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346474", "http://doi.org/10.1109/TMM.2015.2505083"]}, {"id": "700bafb57112febd5d5712f474b0ecc39379320c", "title": "Deep Deformable Patch Metric Learning for Person Re-Identification", "addresses": [{"name": "Disney Research, Pittsburgh, PA, USA", "source_name": "Disney Research, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20171103171212/Deep-Deformable-Patch-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076890", "http://doi.org/10.1109/TCSVT.2017.2765242"]}, {"id": "aa2deffe0b56f7b9b8cdd69f5b3ee6bb79801797", "title": "Inter-Camera Person Tracking in Non-overlapping Networks: Re-identification Protocol and On-line Update", "addresses": [{"name": "Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka", "source_name": "Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka", "street_adddress": "Electrical Engineering Depratment, Indian Institute of Science, Bangalore, Javanica Marg, Mathikere, Bengaluru, Karnataka 560012, India", "lat": "13.01498720", "lng": "77.57103030", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131912"]}, {"id": "d0d148c5124d53152e93d25ed91523dc7d83a248", "title": "Adaptive Metric Learning and Probe-Specific Reranking for Person Reidentification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873304", "http://doi.org/10.1109/LSP.2017.2679208"]}, {"id": "f3084f7f60fe087c66606f21a1df6de890feeea8", "title": "Not All Negatives Are Equal: Learning to Track With Multiple Background Clusters", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583707", "http://doi.org/10.1109/TCSVT.2016.2615518"]}, {"id": "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "title": "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", "addresses": [{"name": "Cisco Systems, Inc., CA, USA", "source_name": "Cisco Systems, Inc., CA, USA", "street_adddress": "101 N Brand Blvd Suite 1700, Glendale, CA 91203, USA", "lat": "34.14683580", "lng": "-118.25544120", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243217"]}, {"id": "8e346f6cb75fa50e0c4e8fee4f198788b91569e1", "title": "Collaborative Networks for Person Verification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132385"]}, {"id": "03babadaaa7e71d4b65203e27e8957db649155c6", "title": "Distance Metric Learning via Iterated Support Vector Machines", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Educational Testing Service", "source_name": "Research Division, Educational Testing Service, Princeton, NJ, USA", "street_adddress": "Research Rd, Princeton, NJ 08540, USA", "lat": "40.34946320", "lng": "-74.71481500", "type": "company", "country": "United States"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.linliang.net/wp-content/uploads/2017/07/TIP_DistanceMetric.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7973168", "http://doi.org/10.1109/TIP.2017.2725578", "https://www.ncbi.nlm.nih.gov/pubmed/28708554"]}, {"id": "cde66b2f8c7f2e8b808073cc82f49fecfa0da04d", "title": "QRKISS: A Two-Stage Metric Learning via QR-Decomposition and KISS for Person Re-Identification", "addresses": [{"name": "Nanjing Agricultural University", "source_name": "College of Information Science and Technology, Nanjing Agricultural University, Nanjing, China", "street_adddress": "Jinling Rd, Xuanwu Qu, Nanjing Shi, Jiangsu Sheng, China, 210014", "lat": "32.03341000", "lng": "118.84257700", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University)", "source_name": "Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), Fuzhou, China", "street_adddress": "1 Wenxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.06470400", "lng": "119.16911600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9820-x"]}, {"id": "160da454cc64c1117c3a164b9bf375d73fb81720", "title": "Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00370.pdf"], "doi": []}, {"id": "82485c89a6b48077b03b65a774fd5768ea768d4d", "title": "Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03112.pdf"], "doi": []}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "0c69b1e916476bbdd8b1b38bbb1aa877709a0f28", "title": "Deep Siamese Network with Multi-level Similarity Perception for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University & Alibaba Group", "source_name": "Shanghai Jiao Tong University & Alibaba Group, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123452"]}, {"id": "2b52292f09451cf4c803b52c2995b51d17e96153", "title": "Body-structure based feature representation for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7178198", "http://doi.org/10.1109/ICASSP.2015.7178198"]}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "9125903bf7aa68920fdca8296f703b9013a877ed", "title": "Deep spatial pyramid for person re-identification", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170814145721/Deep-Spatial-Pyramid-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078492", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078492", "http://doi.org/10.1109/AVSS.2017.8078492"]}, {"id": "37ba12271d09d219dd1a8283bc0b4659faf3a6c6", "title": "Domain transfer for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2510658"]}, {"id": "51144f331aa9310e4fd9b4dab00e4baf6fba7ef3", "title": "Person re-identification using CNN features learned from combination of attributes", "addresses": [{"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://www.i.kyushu-u.ac.jp/~matsukawa/ReID_files/icpr2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900000", "http://doi.org/10.1109/ICPR.2016.7900000"]}, {"id": "8520a3731e66304cac8981e97127211409b5089e", "title": "Robust Discriminative Subspace Learning for Person Reidentification", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540416"]}, {"id": "779a74a12d73d5b72c156a50ff14f29fb8b09f0a", "title": "Graph Correspondence Transfer for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00242.pdf"], "doi": []}, {"id": "090dd649d9873282cfb7918fc12d11cb673dc15e", "title": "Person Reidentification Based on Elastic Projections", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7896623", "http://doi.org/10.1109/TNNLS.2016.2602855", "https://www.ncbi.nlm.nih.gov/pubmed/28422688", "https://www.wikidata.org/entity/Q38830568"]}, {"id": "76ad6daa899a8657c9c17480e5fc440fda53acec", "title": "A Multi-task Deep Network for Person Re-identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05369.pdf"], "doi": []}, {"id": "e1febe25c3f678878c97bec28036c797bc5e6d0d", "title": "Cooperative multi-scale Convolutional Neural Networks for person detection", "addresses": [{"name": "Ilmenau University of Technology", "source_name": "Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany", "street_adddress": "Ilmenau, Germany", "lat": "50.68435020", "lng": "10.92547280", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727208", "http://doi.org/10.1109/IJCNN.2016.7727208"]}, {"id": "a784fd9391cc7013c618186017bbf43b806fa004", "title": "Discriminative regularized metric learning for person re-identification", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China", "source_name": "Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China", "street_adddress": "Chongqing, China", "lat": "29.43158610", "lng": "106.91225100", "type": "gov", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139075", "http://doi.org/10.1109/ICB.2015.7139075"]}, {"id": "ddca5c18415bb855e76f9f459747685ee9c23a4d", "title": "MSMCT: Multi-State Multi-Camera Tracker", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048028", "http://doi.org/10.1109/TCSVT.2017.2755038"]}, {"id": "e5a9b24056782a343ddc903aebc21e6c277a6b2d", "title": "People re-identification using two-stage transfer metric learning", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.mva-org.jp/Proceedings/2015USB/papers/15-03.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153260", "http://doi.org/10.1109/MVA.2015.7153260"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "887502ea2d8a335d8e72deb23fec2784df713b8d", "title": "Nonlinear Local Metric Learning for Person Re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05169.pdf"], "doi": []}, {"id": "2de8508b33fe3ee290f94339a2f78f373e83b21d", "title": "Multi-Level Common Space Learning for Person Re-Identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7876753", "http://doi.org/10.1109/TCSVT.2017.2680118"]}, {"id": "a46edfb0d5374fae7633b56ab767e26cc8ea25ac", "title": "Deep Multi-Metric Learning for Person Re-Identification", "addresses": [{"name": "Ministry of Education (Chongqing University)", "source_name": "Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education (Chongqing University), Chongqing, China", "street_adddress": "China, Chongqing Shi, Shapingba Qu, ChongQing DaXue, \u6c99\u6b63\u8857174\u53f7", "lat": "29.56488000", "lng": "106.46809700", "type": "gov", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486502", "http://doi.ieeecomputersociety.org/10.1109/ICME.2018.8486502", "http://doi.org/10.1109/ICME.2018.8486502"]}, {"id": "e6eda2bfec3036cf431a45fa021070ab21bb3488", "title": "Mirror Representation for Modeling View-Specific Transform in Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6ed/a2bfec3036cf431a45fa021070ab21bb3488.pdf"], "doi": []}, {"id": "5c07464391cda9440cf05c67ab5f3b2b777459d6", "title": "Person Re-Identification by Localizing Discriminative Regions", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5c07/464391cda9440cf05c67ab5f3b2b777459d6.pdf"], "doi": []}, {"id": "9963c73b03e4649959f021ef6f4fb1eac0b617d2", "title": "Person Reidentification Using Multiple Egocentric Views", "addresses": [{"name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "source_name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2017/Person%20Re-identification%20Using%20Multiple%20Egocentric%20Views.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583680", "http://doi.org/10.1109/TCSVT.2016.2615445"]}, {"id": "2b853328b37db50be2e5ddf7e6629121f607140c", "title": "Combined salience based person re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2862-4"]}, {"id": "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "title": "Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4649-2"]}, {"id": "d8c2a08673bcda9fca35972112bff8764d207764", "title": "An Asymmetric Distance Model for Cross-View Feature Mapping in Person Reidentification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://isee.sysu.edu.cn/files/resource/CVDCA.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7373616", "http://doi.org/10.1109/TCSVT.2016.2515309"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "ea00489323104d70dd43bac5e15390ec4d6dfe8f", "title": "Transfer for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea00/489323104d70dd43bac5e15390ec4d6dfe8f.pdf"], "doi": []}, {"id": "3387805b752dadfa34cb8eb63d9dc86aff49934a", "title": "Exploration of Contextual Relationships for Robust Video Analysis: Applications in Camera Networks, Bio-image Analysis and Activity Forecasting", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3387/805b752dadfa34cb8eb63d9dc86aff49934a.pdf"], "doi": []}, {"id": "bffefd41cea42f4db45e8c98b0651f74a8aa90d6", "title": "Multi-Region bilinear convolutional neural networks for person re-identification", "addresses": [{"name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "source_name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "street_adddress": "Ulitsa Nobelya, 3, Moskva, Moscow Oblast, Russia, 121205", "lat": "55.68465660", "lng": "37.34075390", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078460", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078460", "http://doi.org/10.1109/AVSS.2017.8078460"]}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "title": "Constrained Deep Metric Learning for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07545.pdf"], "doi": []}, {"id": "b8e9a328d3952755941380f9eb88072c3c1e4f74", "title": "Reranking of person re-identification by manifold-based approach", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351608", "http://doi.org/10.1109/ICIP.2015.7351608"]}, {"id": "f62d71e701c9fd021610e2076b5e0f5b2c7c86ca", "title": "Mahalanobis Distance Learning for Person Re-identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}, {"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f62d/71e701c9fd021610e2076b5e0f5b2c7c86ca.pdf"], "doi": []}, {"id": "4469d0d0ac2f6f0221dc865b132958df33faa95e", "title": "Region-Based Interactive Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://mmap.whu.edu.cn/wp-content/uploads/publications/2014/wz_2014PCM.pdf", "http://multimedia.whu.edu.cn/group/MAP/personalpage/wz_pdf/PCM2014%20V12.pdf", "http://multimedia.whu.edu.cn/group/publications/2014/wz_2014PCM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-13168-9_1", "http://www.escience.cn/system/download/74305"]}, {"id": "0f911ed7c457979200848db3974f13ed3d7457a4", "title": "Deep learning with particle filter for person re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6415-5"]}, {"id": "3f9f5a8966c035dc179a60c042b160aee2bf8f53", "title": "Deep Second-Order Siamese Network for Pedestrian Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3f9f/5a8966c035dc179a60c042b160aee2bf8f53.pdf"], "doi": []}, {"id": "93fa3d850e1aa84ce6fc0f2fdd0bda028fb6ca8f", "title": "Context-aware reinforcement learning for re-identification in a video network", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778207", "http://doi.org/10.1109/ICDSC.2013.6778207"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "5438e7c8151311d76ed7335051069c7c07113a12", "title": "Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Greenwich", "source_name": "University of Greenwich, London, United Kingdom", "street_adddress": "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "lat": "51.48293080", "lng": "-0.00699500", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965715", "http://doi.org/10.1109/SERA.2017.7965715"]}, {"id": "0f18522f7cc5068a2dc89e28dd41054384fab289", "title": "Improving person re-identification by soft biometrics based reranking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_icdsc2.pdf", "http://www.ee.ucr.edu/~lan/papers/ANICDSC13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778216", "http://doi.org/10.1109/ICDSC.2013.6778216"]}, {"id": "f9824a85f30c687f7b3a3fbf25f842d3d87e77ea", "title": "Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning", "addresses": [{"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8023775", "http://doi.org/10.1109/TNNLS.2017.2736640", "https://www.ncbi.nlm.nih.gov/pubmed/28880193", "https://www.wikidata.org/entity/Q47696400"]}, {"id": "2ab79698e74812142600f7e02315b9ac235a93ee", "title": "Person re-identification based on deep spatio-temporal features and transfer learning", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727397", "http://doi.org/10.1109/IJCNN.2016.7727397"]}, {"id": "12bce6e2db10faa4f370f9e40a6084296080b5cb", "title": "Learning to rank in person re-identification with metric ensembles", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01543.pdf"], "doi": []}, {"id": "b33d610d62e5255c77ca4abcc9de8aa3c57b60aa", "title": "Regularization in metric learning for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351214", "http://doi.org/10.1109/ICIP.2015.7351214"]}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "2d4c5768a65f05f96ae71a269422d0c3d371b26a", "title": "Semantics-Aware Deep Correspondence Structure Learning for Robust Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d4c/5768a65f05f96ae71a269422d0c3d371b26a.pdf"], "doi": []}, {"id": "c58a68628745ad189e47dcd956c7e23dc831da1f", "title": "Camera Compensation Using a Feature Projection Matrix for Person Reidentification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6739115", "http://doi.org/10.1109/TCSVT.2014.2305519"]}, {"id": "afaec3f0da9f2b8721b7979c8e77341bae59f98a", "title": "Person re-identification with coarse-to-fine visual attention", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296451", "http://doi.org/10.1109/ICIP.2017.8296451"]}, {"id": "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "title": "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "addresses": [{"name": "London, United Kingdom", "source_name": "London, United Kingdom", "street_adddress": "London, Greater London, England, SW1A 2DU, UK", "lat": "51.50732190", "lng": "-0.12764740", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7970176"]}, {"id": "4acbfe48fb279dbbc62f5be868dde5a4ce799904", "title": "Person re-identification by free energy score space encoding", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025496", "http://doi.org/10.1109/ICIP.2014.7025496"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "b3ed0c6d71a0b7b4a056dd88919c49f05ab69a9f", "title": "Data-driven and semantic-based pedestrian re-identification", "addresses": [{"name": "Jiangsu University", "source_name": "Jiangsu University", "street_adddress": "\u6c5f\u82cf\u5927\u5b66, 301, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212013, \u4e2d\u56fd", "lat": "32.20302965", "lng": "119.50968362", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393408", "http://doi.org/10.1109/FSKD.2017.8393408"]}, {"id": "de1aafc4f737d17b211fb84b80bace40f82c148b", "title": "Person Re-Identification by Dual-Regularized KISS Metric Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7451215", "http://doi.org/10.1109/TIP.2016.2553446", "https://www.ncbi.nlm.nih.gov/pubmed/27093624", "https://www.wikidata.org/entity/Q47434589"]}, {"id": "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "title": "Improving Person Re-identification via Pose-Aware Multi-shot Matching", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cho_Improving_Person_Re-Identification_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780520", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.151", "http://doi.org/10.1109/CVPR.2016.151"]}, {"id": "17f9b24a4871d29ca1a83fae12e4b96bce0fba63", "title": "Person Re-Identification Using Kernel-Based Metric Learning Methods", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/FeiXiong_ECCV14.pdf", "http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/posters/FeiXiong_ECCV14.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8695/86950001.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10584-0_1"]}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "29401a5ad840cfa2c525003815149d62399e91d1", "title": "Person Reidentification by Minimum Classification Error-Based KISS Metric Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6824754", "http://doi.org/10.1109/TCYB.2014.2323992", "https://www.ncbi.nlm.nih.gov/pubmed/25486658"]}, {"id": "944efd74c6fd812c6c495a11e7b045c9b778702e", "title": "RCAA: Relational Context-Aware Agents for Person Search", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/944e/fd74c6fd812c6c495a11e7b045c9b778702e.pdf"], "doi": []}, {"id": "2fa4b37f91667970150481c37a1f4e294a49b7f0", "title": "Person Reidentification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing", "addresses": [{"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://graphvision.whu.edu.cn/papers/Ye_TMM_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7557057", "http://doi.org/10.1109/TMM.2016.2605058"]}, {"id": "8e069b2447751a2ac44056203a47fa97ac803e4b", "title": "Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654965"]}, {"id": "952a8ef56f35376a52e4540d3df9e48f4077b09e", "title": "Deep feature embedding learning for person re-identification based on lifted structured loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6408-4"]}, {"id": "3cbb4cf942ee95d14505c0f83a48ba224abdd00b", "title": "Hierarchical Cross Network for Person Re-identification", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.06820.pdf"], "doi": []}, {"id": "dfc14e8bd07aeb2b97b3b5129ca511f0d157a6b5", "title": "Human detection and tracking over camera networks: A review", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846643"]}, {"id": "aec7ba707a37446fbf39cec960951ded2d575267", "title": "Learning Multiple Kernel Metrics for Iterative Person Re-Identification", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234929"]}, {"id": "9d6a35541f388db3f4ccf4c457e8ba23eb463654", "title": "Local region partition for person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4817-4"]}, {"id": "c105bd7f3fcdcf531fecd29206f7a1a6ade8e6c6", "title": "Towards unsupervised open-set person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/18790/Gong%20Towards%20unsupervised%20open-set%202016%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532461", "http://doi.org/10.1109/ICIP.2016.7532461"]}, {"id": "92166eb883b0505040c2d61c758985e5ec051f83", "title": "Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07528.pdf"], "doi": []}, {"id": "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "title": "Attention-based Few-Shot Person Re-identification Using Meta Learning", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09613.pdf"], "doi": []}, {"id": "7b6dc0a4feb3c940618f6c011ee1b75089e3b07a", "title": "Metric learning with trace-norm regularization for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025494", "http://doi.org/10.1109/ICIP.2014.7025494"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "956466b5c3036ada2e18f8f7c1b7bf0650779d08", "title": "Learning patch-dependent kernel forest for person re-identification", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://dklospace.github.io/papers/wacv16person.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477578", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477578", "http://doi.org/10.1109/WACV.2016.7477578"]}, {"id": "7d66daaaf6a52c3c0f26972c10e08423a23f842c", "title": "Improving person re-identification systems: a novel score fusion framework for rank-n recognition", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010018"]}, {"id": "16d2ead2c3e98aa1ee9c948855a027e1da2b8eea", "title": "Multi-view Deep Network for Cross-View Classification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kan_Multi-View_Deep_Network_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kan_Multi-View_Deep_Network_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780893", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.524", "http://doi.org/10.1109/CVPR.2016.524"]}, {"id": "7f02f790f320194d5eccf7665066308e46f5d0e9", "title": "Coupled-View Based Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://multimedia.whu.edu.cn/group/MAP/personalpage/Mang%20Ye's%20Homepage/ym_mmm.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/mmm2015.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/ym_mmm.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-14445-0_10"]}, {"id": "014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7", "title": "Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ab6e/d75e1b1952e4461fc603bcfd042bb462635f.pdf"], "doi": []}, {"id": "3d5b43dcb9725f469635c54c01f6bc90976b4ee0", "title": "Triplet CNN and pedestrian attribute recognition for improved person re-identification", "addresses": [{"name": "Thales Services, ThereSIS, Palaiseau, France", "source_name": "Thales Services, ThereSIS, Palaiseau, France", "street_adddress": "Route D\u00e9partementale, 91120 Palaiseau, France", "lat": "48.71472740", "lng": "2.20270890", "type": "company", "country": "France"}, {"name": "University of Lyon", "source_name": "Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://hal.archives-ouvertes.fr/hal-01625479/file/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078542", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078542", "http://doi.org/10.1109/AVSS.2017.8078542"]}, {"id": "3a387304d18f2786ee83804bd38efecc2a5fd323", "title": "Person Re-Identification Using Multiple Experts with Random Subspaces", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3a38/7304d18f2786ee83804bd38efecc2a5fd323.pdf"], "doi": []}, {"id": "447848afc79a7f78be49450cd330bfdaabdd64d3", "title": "Incremental Kernel Null Foley-Sammon Transform for Person Re-identification", "addresses": [{"name": "Aviation University of Airforce", "source_name": "Aviation University of Airforce, Changchun, 130022, China", "street_adddress": "Fanrong Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130022", "lat": "43.83983040", "lng": "125.32018170", "type": "mil", "country": "China"}, {"name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "source_name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546301"]}, {"id": "64b90c3220c43f58cb38da9af1a1b77da3dde63e", "title": "Recurrent Attention Models for Depth-Based Person Identification", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.07212.pdf"], "doi": []}, {"id": "3a0425c25beea6c4c546771adaf5d2ced4954e0d", "title": "Domain Adaptation in Computer Vision Applications", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-58347-1", "https://link.springer.com/book/10.1007/978-3-319-58347-1"]}, {"id": "9a81f46fcf8c6c0efbe34649552b5056ce419a3d", "title": "Deep person re-identification with improved embedding and efficient training", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03332.pdf"], "doi": []}, {"id": "e7e070a929d7911ef2f8c6f6d4e3c5d62c5a9890", "title": "Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7893777", "http://doi.org/10.1109/TPAMI.2017.2691769", "https://www.ncbi.nlm.nih.gov/pubmed/28410099", "https://www.wikidata.org/entity/Q36347023"]}, {"id": "de2faaee4f1b2ecf23149995d0146347a13b9257", "title": "Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment", "addresses": [{"name": "Johannes Kepler University", "source_name": "Johannes Kepler University, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06114.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "a65c3af3752866732fb2d1ccb3305ddf0fea91df", "title": "Deep Feature Embedding Learning for Person Re-Identification Using Lifted Structured Loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001957.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462118", "http://doi.org/10.1109/ICASSP.2018.8462118"]}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "5db08701e6a8173ada652309c09d1262f9df7f9b", "title": "Ranking Optimization for Person Re-identification via Similarity and Dissimilarity", "addresses": [{"name": "Jiujiang University", "source_name": "Jiujiang University, Jiujiang, China", "street_adddress": "17 Lufeng Rd, Xunyang Qu, Jiujiang Shi, Jiangxi Sheng, China, 332000", "lat": "29.72004900", "lng": "115.99882500", "type": "edu", "country": "China"}, {"name": "Wuhan Univeristy, Wuhan, China", "source_name": "Wuhan Univeristy, Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806326"]}, {"id": "7e186b41f5d2cfdf1940009e61d4e34a47b33c7c", "title": "Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wang_Orientation_Invariant_Feature_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237311", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.49", "http://doi.org/10.1109/ICCV.2017.49"]}, {"id": "8cfdd9047f8ad1eaf7d2b71385576f759c792173", "title": "Similarity Learning with Top-heavy Ranking Loss for Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://www.researchgate.net/profile/Changxin_Gao/publication/284274001_Similarity_Learning_with_Top-heavy_Ranking_Loss_for_Person_Re-identification/links/568c660f08aeb488ea2fd6a6.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332741", "http://doi.org/10.1109/LSP.2015.2502271"]}, {"id": "54be7b76110de37a8315bad7a4b0cda3bdaace76", "title": "Person Reidentification Using Deep Convnets With Multitask Learning", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pure.qub.ac.uk/portal/files/106210265/bare_jrnl_no_copyright_notice.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734118,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600455", "http://doi.org/10.1109/TCSVT.2016.2619498"]}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "e0c6748799529ee035b21f040187d1e6df232624", "title": "Temporally aligned pooling representation for video-based person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533168", "http://doi.org/10.1109/ICIP.2016.7533168"]}, {"id": "edc67e3e95c0ae693c4df3193e5957dfd3e9e5b3", "title": "Person Re-Identification Using Multi-region Triplet Convolutional Network", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131917"]}, {"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "title": "Scalable Person Re-identification: A Benchmark", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, {"id": "bc27434e376db89fe0e6ef2d2fabc100d2575ec6", "title": "Faceless Person Recognition; Privacy Implications in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08438.pdf"], "doi": []}, {"id": "61dfbdfe718aca026cafa06adc63055bd0fc562e", "title": "A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61df/bdfe718aca026cafa06adc63055bd0fc562e.pdf"], "doi": []}, {"id": "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "title": "Independent metric learning with aligned multi-part features for video-based person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-7119-6"]}, {"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "title": "Person Re-identification by Video Ranking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "c249f0aa1416c51bf82be5bb47cbeb8aac6dee35", "title": "Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04533.pdf"], "doi": []}, {"id": "57ef0d30fac07e1fef3346838a1dcc8f4eb9f315", "title": "A novel stereo matching approach for pedestrian re-identification", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["http://www.ee.iisc.ac.in/new/people/faculty/soma.biswas/Papers/biswas_ncvpripg2015_pedreid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490003"]}, {"id": "a66a0349a840e786455ad2741c7fe7c46c9d4ca6", "title": "Impostor Resilient Multimodal Metric Learning for Person Reidentification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://downloads.hindawi.com/journals/am/2018/3202495.pdf"], "doi": ["https://doi.org/10.1155/2018%2F3202495", "https://doi.org/10.1155/2018/3202495"]}, {"id": "3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904", "title": "Dynamic locally connected layer for person re-identification", "addresses": [{"name": "ChongQing College of Electronic Engineering, Chongqing, China", "source_name": "ChongQing College of Electronic Engineering, Chongqing, China", "street_adddress": "Shapingba, Chongqing, China", "lat": "29.62636500", "lng": "106.32531700", "type": "edu", "country": "China"}, {"name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "source_name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "street_adddress": "11 Zhongshan 4th Rd, DaXiGou, Yuzhong Qu, Chongqing Shi, China, 400065", "lat": "29.56245900", "lng": "106.54645100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2033-2"]}, {"id": "ab1b95677e8ea0f9881520b34a5f8192d141ef0e", "title": "Corrections to \u201cRelevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities\u201d [Dec 15 4741-4755]", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364308", "http://doi.org/10.1109/TIP.2015.2466117", "https://www.ncbi.nlm.nih.gov/pubmed/26259221", "https://www.wikidata.org/entity/Q39195975"]}, {"id": "293c4f086152ae9d635ab1eb84b72f44cb57d129", "title": "Person re-identification via person DPM based partition", "addresses": [{"name": "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "source_name": "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "street_adddress": "Zhengzhou, Henan, China", "lat": "34.74661100", "lng": "113.62532800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0001.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900236", "http://doi.org/10.1109/ICPR.2016.7900236"]}, {"id": "1e5a1619fe5586e5ded2c7a845e73f22960bbf5a", "title": "Group Membership Prediction", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.04783.pdf"], "doi": []}, {"id": "8fb0ae4fa49de45bbd51f97571732c1827516617", "title": "Coupled analysis-synthesis dictionary learning for person re-identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296304", "http://doi.org/10.1109/ICIP.2017.8296304"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "afd492a598476b5a9b13e2b6d28a76b0707c0a35", "title": "Open-set Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1408.0872.pdf"], "doi": []}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "33c31cba98bda51f923caff75022d13bf62a5d60", "title": "Towards more reliable matching for person re-identification", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Towards%20More%20Reliable%20Matching%20for%20Person%20Re-identification.pdf", "http://sist.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Towards%20More%20Reliable%20Matching%20for%20Person%20Re-identification.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126349", "http://doi.org/10.1109/ISBA.2015.7126349"]}, {"id": "93afaa8c5fb5e0913e1f2a2de99636ddd30f7718", "title": "A combined feature representation of deep feature and hand-crafted features for person re-identification", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7949499"]}, {"id": "311e4361ded641dc6f007595dc05f5c77055bdba", "title": "Cross-View Discriminative Feature Learning for Person Re-Identification", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}, {"name": "Research Division, Anyvision, Belfast, U.K.", "source_name": "Research Division, Anyvision, Belfast, U.K.", "street_adddress": "Belfast, UK", "lat": "54.59728500", "lng": "-5.93012000", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398470"]}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "title": "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0991-0"]}, {"id": "a089b7627f4661e68fbb2acc4a741b98e54f1f09", "title": "Knowledge Science, Engineering and Management", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "Universit\u00e0 di Trento, Povo, Italy", "source_name": "Universit\u00e0 di Trento, Povo, Italy", "street_adddress": "Via Sommarive, 14, 38123 Povo TN, Italy", "lat": "46.06559770", "lng": "11.15084150", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-99247-1"]}, {"id": "df4525d7d99f7237c864adbcb2dab30d8f7447e0", "title": "Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification", "addresses": [{"name": "Universidade Federal de Minas Gerais, Brazil", "source_name": "Universidade Federal de Minas Gerais, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06969.pdf"], "doi": []}, {"id": "66284b8894bab0165c4210cd2df749f0b015c88e", "title": "Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8e0/0a3fb542d0d6ab090b28aa864de9c262fd40.pdf"], "doi": []}, {"id": "d87cfabb760f7e955f872ac077eadf5c0abfb32c", "title": "Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639078"]}, {"id": "71644fab2275cfd6a8f770a26aba4e6228e85dec", "title": "Multi-View Discriminant Analysis", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Omron Social Solutions Co., LTD., Kyoto, Japan", "source_name": "Omron Social Solutions Co., LTD., Kyoto, Japan", "street_adddress": "Kyoto, Kyoto Prefecture, Japan", "lat": "35.01163630", "lng": "135.76802940", "type": "company", "country": "Japan"}], "year": "2016", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/basicpage/file/Multi-view%20Discriminant%20Analysis_TPAMI2015.pdf", "http://vipl.ict.ac.cn/sites/default/files/papers/files/2012_ECCV_mnkan_Multi-view%20Discriminant%20Analysis.pdf", "http://www.jdl.ac.cn/doc/2011/20131910365517756_2012_eccv_mnkan_mvda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7110624", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2435740", "http://doi.org/10.1109/TPAMI.2015.2435740", "https://www.ncbi.nlm.nih.gov/pubmed/26656586"]}, {"id": "7b83674072904f783881585a45017c1969e2d692", "title": "Multi-Perspective Tracking for Intelligent Vehicle", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272017", "http://doi.org/10.1109/TITS.2017.2784486"]}, {"id": "02f94930219d2bb632d067ca2d31db61161ed5fb", "title": "Multi-Scale Triplet CNN for Person Re-Identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967209"]}, {"id": "0c59071ddd33849bd431165bc2d21bbe165a81e0", "title": "Person Recognition in Personal Photo Collections", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03502.pdf"], "doi": []}, {"id": "bd46c9a7b51e8d8a7726b6fbacec80aa6f2097d4", "title": "Toward facial re-identification: Experiments with data from an operational surveillance camera plant", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791204", "http://doi.org/10.1109/BTAS.2016.7791204"]}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "63d64d07966d4d128581246a891ff1d3dd3a2a96", "title": "Learning face similarity for re-identification from real surveillance video: A deep metric solution", "addresses": [{"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272704", "http://doi.org/10.1109/BTAS.2017.8272704"]}, {"id": "3e90a70d768415e28fbf0dd56e53f8933784c416", "title": "Highly Efficient Regression for Scalable Person Re-Identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01341.pdf"], "doi": []}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "436e40bfb2b5f8ba771812b7299669e677ecb29b", "title": "Dense 3D-Convolutional Neural Network for Person Re-Identification in Videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3231741"]}, {"id": "e23004116d85976ad0a2a4da69914a2c9d1ea5ab", "title": "Multi-part compact bilinear CNN for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296694", "http://doi.org/10.1109/ICIP.2017.8296694"]}, {"id": "47165ad181b3da3a615e6e8bc8509fcfc53f49c4", "title": "Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/papers/files/2014_ICDM_TINA%20Cross-modal%20Correlation%20Learning%20by%20Adaptive%20Hierarchical%20Semantic%20Aggregation.pdf", "http://www.jdl.ac.cn/doc/2011/201511612313045160_2014_icdm_tina%20cross-modal%20correlation%20learning%20by%20adaptive%20hierarchical%20semantic%20aggregation.pdf", "http://www.jdl.ac.cn/doc/2011/201711321582995603_cross-modal%20correlation%20learning%20by%20adaptive%20hierarchical%20semantic%20aggregation-tmm%202016-yan%20hua.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7422147", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2014.65", "http://doi.org/10.1109/ICDM.2014.65", "https://doi.org/10.1109/TMM.2016.2535864"]}, {"id": "ac44314e877e10ecf4b2123553ed0bdc3fc963ef", "title": "On-Road Pedestrian Tracking Across Multiple Driving Recorders", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7155586", "http://doi.org/10.1109/TMM.2015.2455418"]}, {"id": "6345eef2ffe46da6d77d07446c1329da7ea00f45", "title": "Trajectory Ensemble: Multiple Persons Consensus Tracking Across Non-overlapping Multiple Cameras over Randomly Dropped Camera Networks", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Kawanishi_Trajectory_Ensemble_Multiple_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014924", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.190", "http://doi.org/10.1109/CVPRW.2017.190"]}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "title": "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9c82/751e5bb63f54e9419703590ac9be86171de0.pdf"], "doi": []}, {"id": "a2fa23bb2720f1fe2131a485562658f1a8fd4ea0", "title": "Deep Siamese Network for Multiple Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547137"]}, {"id": "dac8fc521dfafb2d082faa4697f491eae00472c7", "title": "Learning to Generate and Edit Hairstyles", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123423"]}, {"id": "20b7d94df4011cd27e420976216b419890e254ff", "title": "Unsupervised Hashing with Neural Trees for Image Retrieval and Person Re-Identification", "addresses": [{"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243687"]}, {"id": "a29566375836f37173ccaffa47dea25eb1240187", "title": "Vehicle Re-Identification in Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09409.pdf"], "doi": []}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "26d3f57dd09efff6315ae0064cdad4877f5297d7", "title": "Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03252.pdf"], "doi": []}, {"id": "8824638e8077f62283d292804006ce94c92764bf", "title": "M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03768.pdf"], "doi": []}, {"id": "1bd2ac7fa16af540f2c7ef753a5ab06ce54d3d02", "title": "Person re-identification based on combined Gaussian weighted Fisher vectors", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7945651", "http://doi.ieeecomputersociety.org/10.1109/AICCSA.2016.7945651", "http://doi.org/10.1109/AICCSA.2016.7945651"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "f96525599a5abc069d2415950f6acd0ed37ab7d8", "title": "Convolutional neural network-based representation for person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495897", "http://doi.org/10.1109/SIU.2016.7495897"]}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "b5184bd428b9a89255900dce50b4320741706744", "title": "Discovering Disentangled Representations with the F Statistic Loss", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b518/4bd428b9a89255900dce50b4320741706744.pdf"], "doi": []}, {"id": "3149e6206484104959bcd112abb4e448fc35e311", "title": "A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240879"]}, {"id": "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "title": "Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "addresses": [{"name": "University of California, Los Angeles", "source_name": "University of California, Los Angeles", "street_adddress": "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "lat": "34.06877880", "lng": "-118.44500940", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09882.pdf"], "doi": []}, {"id": "6bdef989bd80d72c620aa9ac4c62c021cf4bd9d6", "title": "Video structured description technology based intelligence analysis of surveillance videos for public security applications", "addresses": [{"name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "source_name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "street_adddress": "China, Shanghai, Xuhui, \u5cb3\u9633\u8def76\u53f7", "lat": "31.20700600", "lng": "121.45196400", "type": "gov", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3112-5"]}, {"id": "33526226231cce669317ece44e6af262b8395dd9", "title": "CRF-CNN: Modeling Structured Information in Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00468.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "52c141b9b7739dbacc93e3e661a15c84853d4094", "title": "A Multi-loss Deep Network Based on Pyramid Pooling for Person Re-identification", "addresses": [{"name": "Xi'an Jiantong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xi'an Jiantong University, Xi'an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "source_name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623067"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "beb0239feac388e4ee04492159a45f7e2c71e1e3", "title": "POI: Multiple Object Tracking with High Performance Detection and Appearance Feature", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.06136.pdf"], "doi": []}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "47f4dec5f733e933c8b9a8fdcda9419741f2bf62", "title": "Adversarial Metric Attack for Person Re-identification", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10650.pdf"], "doi": []}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "9c675774d49be7ba428c80142cb63ed4267d3c46", "title": "Low illumination person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6239-3"]}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "title": "Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6409-3"]}, {"id": "424cce55355f2fa4b3c020d56967e1f7b82b1de9", "title": "M 2 M-GAN : Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/424c/ce55355f2fa4b3c020d56967e1f7b82b1de9.pdf"], "doi": []}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "9c2978428e35f27a851432dd44f1d2721e0e10e3", "title": "A traffic object classification pipeline based on CNNs", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7382581"]}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "8de7da01bf4c2643f36dae4a8d2fa04906daff02", "title": "An enhanced triplet CNN based on body parts for person re-identificacion", "addresses": [{"name": "Universidad Cat\u00f3lica San Pablo, Arequipa, Per\u00fa", "source_name": "Universidad Cat\u00f3lica San Pablo, Arequipa, Per\u00fa", "street_adddress": "Quinta Vivanco s/n, Urb. Campi\u00f1a Paisajista, Arequipa 04001, Peru", "lat": "-16.39013840", "lng": "-71.53571610", "type": "edu", "country": "Peru"}, {"name": "Universidad Nacional de San Agust\u00edn, Arequipa, Per\u00fa", "source_name": "Universidad Nacional de San Agust\u00edn, Arequipa, Per\u00fa", "street_adddress": "Arequipa, Peru", "lat": "-16.40546170", "lng": "-71.52082910", "type": "edu", "country": "Peru"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8405126", "http://doi.org/10.1109/SCCC.2017.8405126"]}, {"id": "6abe0a851064e0c5068c37067f2227d53127f69b", "title": "Hetero-Manifold Regularisation for Cross-Modal Hashing", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801124"]}, {"id": "b086e278c5ac61c024e89b302fec87b2aecf9281", "title": "Which Part is Better: Multi-Part Competition Network for person Re-Identification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545848"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "fac6b4562053853db517ff6511c6daff2e6a1a7b", "title": "Deep Low-Resolution Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fac6/b4562053853db517ff6511c6daff2e6a1a7b.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "72f6bc80258293bddcca325fe95ce8df36ae6f06", "title": "An effective approach to crowd counting with CNN-based statistical features", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090827"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "3c8f916264e8d15ba1bc618c6adf395e86dd7b40", "title": "Generating Descriptions with Grounded and Co-referenced People", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01518.pdf"], "doi": []}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "bdd3e33cb78965bcd15d69b7902c813b2ac864ff", "title": "GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123279"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "6355f7fd956466e8e9f09b297e6cdd155d66740e", "title": "EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.08153.pdf"], "doi": []}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "9d5a6d12b39c6574fe284d779d2c23c2800bb283", "title": "Vehicle Re-Identification by Deep Hidden Multi-View Inference", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325486", "http://doi.org/10.1109/TIP.2018.2819820", "https://www.ncbi.nlm.nih.gov/pubmed/29641406"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "ac32cdb3e0a996c75d5df2973c1a2444a81c0a5e", "title": "Defense Against Adversarial Attacks with Saak Transform", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01785.pdf"], "doi": []}, {"id": "d70d0bf360f4007c06407b7634c617979ac703b1", "title": "Person Re-Identification With A Joint Learning CNN Network And A New Global Loss Function", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551553"]}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "781f4b1732cffc30f315eff94d53965a8fd9324f", "title": "Recent Advances in Deep Learning: An Overview", "addresses": [{"name": "Chittagong University of Engineering and Technology", "source_name": "Chittagong University of Engineering and Technology", "street_adddress": "Shaheed Tareq Huda Hall, Goal Chattar, \u099a\u099f\u09cd\u099f\u0997\u09cd\u09b0\u09be\u09ae, \u099a\u099f\u09cd\u099f\u0997\u09cd\u09b0\u09be\u09ae \u099c\u09c7\u09b2\u09be, \u099a\u099f\u09cd\u099f\u0997\u09cd\u09b0\u09be\u09ae \u09ac\u09bf\u09ad\u09be\u0997, 4349, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "22.46221665", "lng": "91.96942263", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08169.pdf"], "doi": []}, {"id": "3f69a9ef0f98a3936bc905e792cfe8a7d313b565", "title": "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08402.pdf"], "doi": []}, {"id": "3b3686f87f9a22db2bda99cb279c817e7f8a001b", "title": "Person re-identification method based on CNN and manually-selected feature fusion", "addresses": [{"name": "Guilin University of Electronic Technology Guangxi Guilin", "source_name": "Guilin University of Electronic Technology Guangxi Guilin", "street_adddress": "\u6842\u6797\u7535\u5b50\u79d1\u6280\u5927\u5b66\u91d1\u9e21\u5cad\u6821\u533a, 1\u53f7, \u91d1\u9e21\u8def, \u4e03\u661f\u533a, \u9ec4\u83ba\u5ca9\u6751, \u4e03\u661f\u533a, \u6842\u6797\u5e02, \u5e7f\u897f\u58ee\u65cf\u81ea\u6cbb\u533a, 541004, \u4e2d\u56fd", "lat": "25.28739920", "lng": "110.33242770", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393401", "http://doi.org/10.1109/FSKD.2017.8393401"]}, {"id": "a34f8768b10d928aa4f4105afb971819c26a2219", "title": "Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485730"]}, {"id": "f89e5b1f61b221c7b00db55b64239a28f8ba9fe0", "title": "Ensemble Learning-Based Person Re-identification with Multiple Feature Representations", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f89e/5b1f61b221c7b00db55b64239a28f8ba9fe0.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "title": "A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410791"]}, {"id": "7af4ee644a0b4269a080fc491f443b32d6930bff", "title": "Deep Multi-View Feature Learning for Person Re-Identification", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "UBTECH Robotics, Shenzhen, China", "source_name": "UBTECH Robotics, Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7979595", "http://doi.org/10.1109/TCSVT.2017.2726580"]}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "411278b73afedca6976f02a8d3a38cdec3337f87", "title": "Cross-view projective dictionary learning for person re-identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ijcai.org/Proceedings/15/Papers/305.pdf", "http://www.ijcai.org/Proceedings/15/Papers/305.pdf"], "doi": ["http://ijcai.org/Abstract/15/305"]}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "title": "Attributes co-occurrence pattern mining for video-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078469", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078469", "http://doi.org/10.1109/AVSS.2017.8078469"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "e7d840cf207802918e5b09af0a650b8f38f824a8", "title": "Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03989.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc", "title": "Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory", "addresses": [{"name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "source_name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "street_adddress": "Zoumaliang Rd, Banan Qu, Chongqing Shi, China", "lat": "29.42475500", "lng": "106.53683700", "type": "edu", "country": "China"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451174", "http://doi.org/10.1109/ICIP.2018.8451174"]}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "c87f7ee391d6000aef2eadb49f03fc237f4d1170", "title": "A real-time and unsupervised face Re-Identification system for Human-Robot Interaction", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1804.03547.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "c8c60abb7cef001213d951d041e5f03042de0df5", "title": "Person re-identification with deep dense feature representation and Joint Bayesian", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296945", "http://doi.org/10.1109/ICIP.2017.8296945"]}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "84f047ff1665f7fdb7653047caf4d43c2c9576c2", "title": "Person re-identification with pre-trained deep learning models and attribute correlations", "addresses": [{"name": "University of Information Technology", "source_name": "Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam", "street_adddress": "Khu ph\u1ed1 6 P, Vietnam", "lat": "10.87030000", "lng": "106.80345130", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886726"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "fccd0406749aecf76741460de7499689ebf4c676", "title": "Integrating Egocentric Videos in Top-View Surveillance Videos: Joint Identification and Temporal Alignment", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fccd/0406749aecf76741460de7499689ebf4c676.pdf"], "doi": []}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "589d06db45e2319b29fc96582ea6c8be369f57ed", "title": "Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/589d/06db45e2319b29fc96582ea6c8be369f57ed.pdf"], "doi": []}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "61f56afc7713ebfacfe382d1824966cb9b967d34", "title": "An Ensemble of Invariant Features for Person Reidentification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Huawei Research and Development, Santa Clara, CA", "source_name": "Huawei Research and Development, Santa Clara, CA, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779129", "http://doi.org/10.1109/TCSVT.2016.2637818"]}, {"id": "a89c12bae45ec11742c50261d6e2505272369d41", "title": "Foreground Gated Network for Surveillance Object Detection", "addresses": [{"name": "Alibaba Group, Hangzhou, China", "source_name": "Alibaba Group, Hangzhou, China", "street_adddress": "Alibaba Group, \u4e94\u5e38\u8857\u9053, \u4f59\u676d\u533a (Yuhang), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, \u4e2d\u56fd", "lat": "30.28106540", "lng": "120.02139087", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Zhejiang University Embedded System Engineering Research Center", "source_name": "Ministry of Education of China, Zhejiang University Embedded System Engineering Research Center", "street_adddress": "Zhiquan Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310000", "lat": "30.26182300", "lng": "120.12222400", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Zhejiang Provincial Key Laboratory for Network Multimedia Technologies", "source_name": "Zhejiang Provincial Key Laboratory for Network Multimedia Technologies", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499396", "http://doi.org/10.1109/BigMM.2018.8499396"]}, {"id": "b7bc6a2dfe99668457b67007400f5ab760386d0c", "title": "A Siamese inception architecture network for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0843-5"]}, {"id": "89198580f18cad7f62393732868a977ffae57917", "title": "Person re-identification by distance metric learning to discrete hashing", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532465", "http://doi.org/10.1109/ICIP.2016.7532465"]}, {"id": "a6bc69831dea3efc5804b8ab65cf5a06688ddae0", "title": "Crossing Generative Adversarial Networks for Cross-View Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01760.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "21123fde70a1b2614fb4485d9ce786d2cc85a1ea", "title": "Graph regularized low-rank matrix recovery for robust person re-identification", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["http://mml.citi.sinica.edu.tw/papers/ICIP_2015_Tsai.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351689", "http://doi.org/10.1109/ICIP.2015.7351689"]}, {"id": "6b7e552ca66fd3235e99115d6f072061b9ada181", "title": "Extensive Comparison of Visual Features for Person Re-identification", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007741"]}, {"id": "d4b34e327b62b7f3fbddfc403e4642b17245a3b7", "title": "Partial Person Re-identification with Alignment and Hallucination", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09162.pdf"], "doi": []}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "b85e71d4e68588211c877fff8cda267b3a6bb6c9", "title": "End-to-end learning of motion , appearance and interaction cues for multi-target tracking", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b85e/71d4e68588211c877fff8cda267b3a6bb6c9.pdf"], "doi": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "058d50af5456665dccda2b41b17bdfead72bdec8", "title": "Learning Non-Metric Visual Similarity for Image Retrieval", "addresses": [{"name": "Aston University", "source_name": "Aston University", "street_adddress": "Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK", "lat": "52.48620785", "lng": "-1.88849915", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01353.pdf"], "doi": []}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "1adbcca753c7b4f22cf3d6bc3a9579573d4d5846", "title": "Sample-Specific SVM Learning for Person Re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Omron Corporation", "source_name": "Omron corporation", "street_adddress": "3709 Ohio Ave, St. Charles, IL 60174, USA", "lat": "41.91256730", "lng": "-88.26993760", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Sample-Specific_SVM_Learning_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Sample-Specific_SVM_Learning_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780512", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.143", "http://doi.org/10.1109/CVPR.2016.143"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "34b8e675d4651db45e484da34f3c415c60ef3ea2", "title": "DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01220.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "80be8624771104ff4838dcba9629bacfe6b3ea09", "title": "Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890265.pdf", "http://www.ifp.illinois.edu/~moulin/Papers/ECCV14-jiwen.pdf", "http://www.ntu.edu.sg/home/wanggang/LuECCV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944673", "http://doi.org/10.1109/TIP.2017.2713940", "https://www.ncbi.nlm.nih.gov/pubmed/28613171", "https://www.wikidata.org/entity/Q50434985"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "c1660197f94786364e624efed4ba03c0d8ab6161", "title": "Robust dictionary learning with graph regularization for unsupervised person re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5202-z"]}, {"id": "b54ed594267ead88b99bed3230e0453f54d00873", "title": "Human Recognition by Appearance and Gait", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768818040035"]}, {"id": "0e85b9c05d6f6d190f7c0434e3356a8bfb97bdec", "title": "Person Re-Identification with Vision and Language", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545582"]}, {"id": "ebe8408052d9bf05dc2007d01559dda6129840eb", "title": "Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05769.pdf"], "doi": []}, {"id": "5025a2f2a2d53db48f9504be93358c3ec5261646", "title": "Dual Channel Gradient feature for person re-identification", "addresses": [{"name": "PLA University of Science & Technology", "source_name": "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7752447", "http://doi.org/10.1109/WCSP.2016.7752447"]}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "82430878b6ee7a427ac389b51407599909576084", "title": "Saliency preprocessing for person re-identification images", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001941.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472015", "http://doi.org/10.1109/ICASSP.2016.7472015"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "ac36284cfa95e613f9e726cd017a5dca207fe633", "title": "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7859378", "http://doi.org/10.1109/TIP.2017.2672440", "https://www.ncbi.nlm.nih.gov/pubmed/28237930", "https://www.wikidata.org/entity/Q53478605"]}, {"id": "d1d90bbc6bb4fdb0d928ff74bfd8671aaafa070e", "title": "Neural Person Search Machines", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06777.pdf"], "doi": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "b42a8f2703867639f7ce68229b0916015878c5eb", "title": "Evaluating features for person re-identification", "addresses": [{"name": "PLA University of Science & Technology", "source_name": "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888255"]}, {"id": "14d72dc9f78d65534c68c3ed57305f14bd4b5753", "title": "Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Yan_Exploiting_Multi-Grain_Ranking_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237330", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.68", "http://doi.org/10.1109/ICCV.2017.68"]}, {"id": "1977d67a8db78d483a25c9fc6ad2ffad8d80c41c", "title": "A Unsupervised Person Re-identification Method Using Model Based Representation and Ranking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2807399"]}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "64c1d9a031ec0e6785dc92edc0d00cc0802e32b0", "title": "Key Person Aided Re-identification in Partially Ordered Pedestrian Set", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.10017.pdf"], "doi": []}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "16701e3cbd43b52e32d567649a194245dcd31829", "title": "Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1670/1e3cbd43b52e32d567649a194245dcd31829.pdf"], "doi": []}, {"id": "d56a262763c84d2bb21e9ea40f2517610f61d05f", "title": "Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "addresses": [{"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126708"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "631c4ca00eaa65b801c63d32c0f564e974009ddd", "title": "Self-attention Learning for Person Re-identification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/631c/4ca00eaa65b801c63d32c0f564e974009ddd.pdf"], "doi": []}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "30666d175714e29f03a2a649955e714b0cfd88cc", "title": "Two-stream person re-identification with multi-task deep neural networks", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0915-1"]}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "7b51e4cf4f38c581d95b2c07457fc9a76058ddbf", "title": "Part-based Multi-stream Model for Vehicle Searching", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546191"]}, {"id": "6b6207c49c7b41b171388fc2228304de148f0a96", "title": "Person Search by Multi-Scale Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08582.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3", "title": "Unifying Identification and Context Learning for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03084.pdf"], "doi": []}, {"id": "443acd268126c777bc7194e185bec0984c3d1ae7", "title": "Retrieving relative soft biometrics for semantic identification", "addresses": [{"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://eprints.soton.ac.uk/402985/1/icpr-16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900105", "http://doi.org/10.1109/ICPR.2016.7900105"]}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c", "title": "Cross-domain attribute representation based on convolutional neural network", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07295.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "d348197e47a8e081bd3f12a22bc52b055ecd8302", "title": "Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07085.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "de46fbad976ec6f02e53c70c1f92b4beb4d84f35", "title": "Online Cross-Modal Adaptation for Audio\u2013Visual Person Identification With Wearable Cameras", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2016_THMS_OnLineCrossModalAdaptation_Brutti_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7742962", "http://doi.org/10.1109/THMS.2016.2620110"]}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "b55914fe572bd2449234eb05c300b32ad94e97d8", "title": "Person re-identification using multiple features fusion", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846660"]}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/final/cuhk_train_station.json b/site/datasets/final/cuhk_train_station.json index cb22b894..8d4a1ac3 100644 --- a/site/datasets/final/cuhk_train_station.json +++ b/site/datasets/final/cuhk_train_station.json @@ -1 +1 @@ -{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "dataset": {"key": "cuhk_train_station", "name_short": "CUHK Train Station Dataset", "name_display": "CUHK Train Station Dataset", "name_full": "CUHK Train Station Dataset", "purpose": "Crowd behavior analysis", "comment": "", "funded_by": "Research Grants Council of Hong Kong (RGC project No. CUHK417110 and CUHK417011) and National Natural Science Foundation of China (project no. 61005057), and by Guangdong Province through Introduced Innovative R&D Team of Guangdong Province 201001D0104648280", "license": "", "url": "http://www.ee.cuhk.edu.hk/~xgwang/grandcentral.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "cooperative": "", "indoor": "Y", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "source": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "", "ongoing": "", "images": "", "videos": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "", "notes": "", "derivative_of": ""}, "paper": {"paper_id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "key": "cuhk_train_station", "title": "Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents", "year": "2012", "pdf": [], "address": {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, "name": "CUHK Train Station Dataset", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248013"]}, "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "additional_papers": [], "citations": [{"id": "3c98a61bbe557b4f4c1655035e4aae43b7152bbe", "title": "Extracting descriptive motion information from crowd scenes", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402493"]}, {"id": "0b78c77c73ecbc07e8deb361e79d97660ce231a5", "title": "Social Attribute-Aware Force Model: Exploiting Richness of Interaction for Abnormal Crowd Detection", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.jdl.ac.cn/doc/2011/2016119833767489_social%20attribute-aware%20force%20model%20exploiting%20richness%20of%20interaction%20for%20abnormal%20crowd%20detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6894168", "http://doi.org/10.1109/TCSVT.2014.2355711"]}, {"id": "f424f6740dcfa7b27b4b5f6adec5f6acd4d6b2a3", "title": "Interactive and adaptive data-driven crowd simulation", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7504685"]}, {"id": "462346f8e30c54a5211589dc99164162e4b1e8e2", "title": "Data-Driven Agent-Based Simulation for Pedestrian Capacity Analysis", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://www.iccs-meeting.org/archive/iccs2018/papers/108610100.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-93701-4_8"]}, {"id": "37f35a05733e11cd490897a3c6d906abfe5ce434", "title": "Point-based path prediction from polar histograms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528123"]}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "e678d89c65f715294a9f7d14e32dd1b3ecf50246", "title": "Analyzing motion patterns in crowded scenes via automatic tracklets clustering", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6506940"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "840f2258318d3e339caee706c51c514d156ade8a", "title": "Motion pattern analysis in crowded scenes based on hybrid generative-discriminative feature maps", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738584"]}, {"id": "06ea877e7599c28d043fdbbcb6fe68b032dda008", "title": "Trajectory clustering for motion pattern extraction in aerial videos", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "source_name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025203"]}, {"id": "0912ea64eb6e1938c421566688b5eafd80d8f968", "title": "A \"semi-lazy\" approach to probabilistic path prediction", "addresses": [{"name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2487609"]}, {"id": "cbf14c7b515fa30b1da1f19e1610582dc7b2932f", "title": "Multi-modal recognition of manipulation activities through visual accelerometer tracking, relational histograms, and user-adaptation", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbf1/4c7b515fa30b1da1f19e1610582dc7b2932f.pdf"], "doi": []}, {"id": "2b102276e1d22b517cb482929b8c58db88647d9c", "title": "Kernel density estimation for target trajectory prediction", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7353858"]}, {"id": "aa358f4a0578234e301a305d8c5de8d859083a4c", "title": "Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2014/Discriminative%20Orderlet%20Mining%20For%20Real-time%20Recognition%20of%20Human-Object%20Interaction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/379.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_4"]}, {"id": "26bfabc72c937fd4feddf585b4989407dea90c59", "title": "Learning behavior patterns from video for agent-based crowd modeling and simulation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s10458-016-9334-8"]}, {"id": "296642b2aa7f2cad51b04aaa74426122e96f3a9a", "title": "Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930157.pdf", "http://www.varcity.eu/paper/eccv2014_manen_deceptiveness.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01140.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_11", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930157/esm2.PDF"]}, {"id": "9e4f23b76b0eb2cb209faabcc80011a2e12d31a8", "title": "Anchor-based group detection in crowd scenes", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952382"]}, {"id": "7c0b4ace044848f8e156e5ec898847a075905495", "title": "Pedestrian group attributes detection in crowded scenes", "addresses": [{"name": "Universiti Teknologi Petronas", "source_name": "Universiti Teknologi PETRONAS", "street_adddress": "UTP, Universiti Teknologi Petronas, Persiaran Desa Kediaman, Puncak Iskandar, Seri Iskandar, PRK, 32610, Malaysia", "lat": "4.38304640", "lng": "100.97001540", "type": "edu", "country": "Malaysia"}, {"name": "Umm Al-Qura University", "source_name": "Umm Al-Qura University, Mecca, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0623\u0645\u064a\u0631 \u0633\u0644\u0637\u0627\u0646 \u0628\u0646 \u0639\u0628\u062f \u0627\u0644\u0639\u0632\u064a\u0632\u060c Makkah Saudi Arabia", "lat": "21.32983610", "lng": "39.94888910", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075584", "http://doi.org/10.1109/ATSIP.2017.8075584"]}, {"id": "7e8e7d4901c1c95f6890cee58bf5759e17f3d2e4", "title": "Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition", "addresses": [{"name": "Keele University", "source_name": "Keele University, Staffordshire, United Kingdom", "street_adddress": "Keele, Newcastle ST5 5BG, UK", "lat": "53.00343730", "lng": "-2.27205300", "type": "edu", "country": "United Kingdom"}, {"name": "Kingston University London", "source_name": "Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE", "street_adddress": "Penrhyn Rd, Kingston upon Thames KT1 2EE, UK", "lat": "51.40324310", "lng": "-0.30348820", "type": "edu", "country": "United Kingdom"}, {"name": "Leeds Beckett University", "source_name": "Leeds Beckett University, West Yorkshire, United Kingdom", "street_adddress": "Leeds LS1 3HE, UK", "lat": "53.80364250", "lng": "-1.54742920", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451190"]}, {"id": "a9c9da8f8b4e58cf19cd1fee264f1f05f94f5ac0", "title": "Crowd collectiveness measure via graph-based node clique learning", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06170.pdf"], "doi": []}, {"id": "e1c5cc548f3b6ed5e76a24552832705e4fc0aa4e", "title": "Detect coherent motions in crowd scenes based on tracklets association", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351649"]}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "712d25810688673446202c43bd3d872e72f75bbe", "title": "Cluster-Based Crowd Movement Behavior Detection", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615809"]}, {"id": "64b22e5af5dc07309c85a742728ff6f476bd71d1", "title": "Modeling Collective Crowd Behaviors in Video", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/64b2/2e5af5dc07309c85a742728ff6f476bd71d1.pdf"], "doi": []}, {"id": "1a0e73f5319fe08dc92b049e0e3a82b8d052c741", "title": "Collective Density Clustering for Coherent Motion Detection", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100995", "http://doi.org/10.1109/TMM.2017.2771477"]}, {"id": "c33f02a04c7a7b683480e126230a0487ee0a1358", "title": "Crowded Scene Analysis: A Survey", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6898845"]}, {"id": "7ade8aade0d464ea9a677c7c22a51d1f81edb6e9", "title": "Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7ade/8aade0d464ea9a677c7c22a51d1f81edb6e9.pdf"], "doi": []}, {"id": "8ce5a8d409000d65c7d3b98074a3d3c178eb5ee6", "title": "A Role-Dependent Data-Driven Approach for High-Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3177776"]}, {"id": "865efdda03e296a5936c883b41c916333e008de7", "title": "Mixture of Switching Linear Dynamics to Discover Behavior Patterns in Object Tracks", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7121003"]}, {"id": "4085520db76eaf952a402d8018dee969d54dbe97", "title": "Trending Paths: A New Semantic-Level Metric for Comparing Simulated and Real Crowd Data", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797248"]}, {"id": "972f59c4b68ce4c911e7df83cb7bcca8b99932fa", "title": "Measuring orderliness based on social force model in collective motions", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706431"]}, {"id": "2637a5d0b677eb3145e5bc484337f99b8486014f", "title": "L0 Regularized Stationary Time Estimation for Crowd Group Analysis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/l0crowda_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yi_L0_Regularized_Stationary_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_dataset_stationaryCrowd.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_suppdf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909681", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.284", "http://doi.org/10.1109/CVPR.2014.284"]}, {"id": "d720fc6202edccf9b2d4506d1dc23d509e019b5e", "title": "Forecasting Events Using an Augmented Hidden Conditional Random Field", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/164.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150121085032/Forecasting-Events-using-an-Augmented-Hidden-Conditional-Random-Field-Paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16817-3_37"]}, {"id": "b322edcdb9f395d82a6fb4c6c640ec5340a24404", "title": "Semantic Analysis for Crowded Scenes Based on Non-Parametric Tracklet Clustering", "addresses": [{"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b322/edcdb9f395d82a6fb4c6c640ec5340a24404.pdf"], "doi": []}, {"id": "be21cd7fae28f04871ae69e5167fb676ee17a08a", "title": "Motion based Event Analysis", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/be21/cd7fae28f04871ae69e5167fb676ee17a08a.pdf"], "doi": []}, {"id": "e7975261539329e83a4b404c0da177f78c00dbd4", "title": "Counting People Crossing a Line Using Integer Programming and Local Features", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount-app.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295569", "http://doi.org/10.1109/TCSVT.2015.2489418"]}, {"id": "0b2fd54888fe77ddebdd4eeb53b72dfd1b73a9b8", "title": "Coherent Filtering: Detecting Coherent Motions from Crowd Clutters", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/bzhou/publication/boleieccv2012.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTWeccv12.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_61"]}, {"id": "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "title": "Automatic Event Detection for Signal-based Surveillance", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01611.pdf"], "doi": []}, {"id": "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "title": "Crowd Tracking by Group Structure Evolution", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583654", "http://doi.org/10.1109/TCSVT.2016.2615460"]}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "fa030e4b18e3d19336fdd406790efce04ab49524", "title": "Understanding Collective Activitiesof People from Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654151"]}, {"id": "87436afcf6e1d602ae4b72845cb27ae84825ef77", "title": "Modelling Human Movements With Turing Learning", "addresses": [{"name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "source_name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "street_adddress": "The Hague, Netherlands", "lat": "52.07049780", "lng": "4.30069990", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8628691"]}, {"id": "c229b92d12fc678c05db49b89bb333d1ff563cb6", "title": "An Efficient Method of Crowd Aggregation Computation in Public Areas", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7990566"]}, {"id": "966f2106b12d2425185add5666816abf8c834e64", "title": "Localization of region of interest in surveillance scene", "addresses": [{"name": "Haldia Institute of Technology, Haldia, India", "source_name": "Haldia Institute of Technology, Haldia, India", "street_adddress": "P.O HIT, HIT College Rd, Kshudiram Nagar, Haldia, West Bengal 721657, India", "lat": "22.05059210", "lng": "88.07221260", "type": "edu", "country": "India"}, {"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}, {"name": "Khalifa University", "source_name": "Khalifa University", "street_adddress": "Khalifa University, \u0634\u0627\u0631\u0639 \u0637\u064e\u0648\u0650\u064a \u0645\u064f\u0648\u064e\u064a\u0644\u0650\u062d, \u0642\u0635\u0631 \u0627\u0644\u0634\u0627\u0637\u0626, \u062d\u062f\u0628\u0629 \u0627\u0644\u0632\u0651\u064e\u0639\u0652\u0641\u0631\u0627\u0646\u0629, \u0623\u0628\u0648\u0638\u0628\u064a, \u0623\u0628\u0648 \u0638\u0628\u064a, 31757, \u0627\u0644\u0625\u0645\u0627\u0631\u0627\u062a \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0645\u062a\u062d\u062f\u0629", "lat": "24.44690250", "lng": "54.39425630", "type": "edu", "country": "United Arab Emirates"}, {"name": "National Institute of Technology, Durgapur", "source_name": "National Institute of Technology, Durgapur, India", "street_adddress": "National Institute Of Technology, Durgapur, Priyadarshini Indira Sarani, Durgapur, B\u0101nkur\u0101, West Bengal, 713209, India", "lat": "23.54869625", "lng": "87.29105712", "type": "edu", "country": "India"}, {"name": "Sookmyung Women\u2019s University", "source_name": "Sookmyung Women\u2019s University, Seoul, Republic of Korea", "street_adddress": "100 Cheongpa-ro 47-gil, Cheongpadong 2(i)-ga, Yongsan-gu, Seoul, South Korea", "lat": "37.54636440", "lng": "126.96483110", "type": "edu", "country": "South Korea"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3762-y"]}, {"id": "6e084ecb7e88d267ed1f0db7fca90a1c126bd361", "title": "Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517342"]}, {"id": "3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f", "title": "Social Signaling Descriptor for Group Behaviour Analysis", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3b1b/a9818e2ee6a54e7ec033c5b2ec8bdbe2935f.pdf"], "doi": []}, {"id": "5f2989f2c323a4fb5de8720cdfbbae1887d8e6bb", "title": "A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5f29/89f2c323a4fb5de8720cdfbbae1887d8e6bb.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "ce9321feeb4239ba69604a6b729abd0dc876f325", "title": "A State-ofthe-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ce93/21feeb4239ba69604a6b729abd0dc876f325.pdf"], "doi": []}, {"id": "b2b28eeeaa2b613bf30b5bfee5ec4272ce184bf3", "title": "Measuring Collectiveness via Refined Topological Similarity", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2854000"]}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "0ad6dc4554fd5c0212993677c160af31fd27e243", "title": "Measuring Crowd Collectiveness", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/projects/collectiveness/presentation_cvpr2013.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/final_collectiveness.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/pami.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d049.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhou_Measuring_Crowd_Collectiveness_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang//papers/zhouTWcvpr13.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTZXtpami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714561", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.392", "http://doi.org/10.1109/TPAMI.2014.2300484", "https://www.ncbi.nlm.nih.gov/pubmed/26353340", "https://www.wikidata.org/entity/Q50857290"]}, {"id": "806bf27919283dd4db3aef8a64e053ca5052840d", "title": "The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6576843", "http://doi.org/10.1109/TIFS.2013.2277773"]}, {"id": "e9c4c8639dc57f84dd698b91a27d9c30c90923f1", "title": "A Role-dependent Data-driven Approach for High Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2901382"]}, {"id": "cb733afac3a9a17463645ceda19406a684a19883", "title": "Model-driven multi-target tracking in crowd scenes", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641176"]}, {"id": "afa24eb881c7011e851f8a12dea32a7293cffefa", "title": "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2282-z", "https://www.wikidata.org/entity/Q57714766"]}, {"id": "259e4aca87b8724b4c9df2315b976237481a1929", "title": "Pedestrian Behavior Understanding and Prediction with Deep Neural Networks", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/259e/4aca87b8724b4c9df2315b976237481a1929.pdf"], "doi": []}, {"id": "46bdfee362a4de978d24d53fd704d64d82273718", "title": "Crowd Tracking with Dynamic Evolution of Group Structures", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}, {"name": "Shenzhen, China", "source_name": "Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940139.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_10"]}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "aed274a7e72bdd9250e22d22614b87c8b5bfe8ce", "title": "Profiling stationary crowd groups", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/yiWicme14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890138", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890138", "http://doi.org/10.1109/ICME.2014.6890138"]}, {"id": "7653348a68e20f1a85ddcb56fdb6623ab0927ca0", "title": "Detection of Global and Local Motion Changes in Human Crowds", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7524675"]}, {"id": "aa47114dd92bc6f2c01f579211ed006a7cb7d650", "title": "Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08391.pdf"], "doi": []}, {"id": "4c4622ae838ce86313c2979c0ebeec077713161e", "title": "A Bayesian Model for Crowd Escape Behavior Detection", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6574248", "http://doi.org/10.1109/TCSVT.2013.2276151"]}, {"id": "9bb00be1b904d162a6d3911897f89e93987a8c90", "title": "Understanding Crowd Collectivity : A Meta-Tracking Approach", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bb0/0be1b904d162a6d3911897f89e93987a8c90.pdf"], "doi": []}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "0b6f776c45b6f81cd9f9ae2bb8aca0bc2f541528", "title": "Crowd counting using accumulated HOG", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603465"]}, {"id": "814d60ed249c62314d389e8b8cb7d6794289b647", "title": "Modeling Trajectory-level Behaviors using Time Varying Pedestrian Movement Dynamics", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/814d/60ed249c62314d389e8b8cb7d6794289b647.pdf"], "doi": []}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "c68f3b6ab8782427cab32b474a094416e108c1e8", "title": "Crowd Scene Understanding with Coherent Recurrent Neural Networks", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c68f/3b6ab8782427cab32b474a094416e108c1e8.pdf"], "doi": []}, {"id": "4d5d49331c8ff096d6b02c8f84b3da9eede04ab7", "title": "Clustering Trajectories in Heterogeneous Representations for Video Event Detection", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451160"]}, {"id": "20eb15b26bb2da84bba2846d77a9c1b6150e2b72", "title": "Early Detection of Herding Behaviour during Emergency Evacuations", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/20eb/15b26bb2da84bba2846d77a9c1b6150e2b72.pdf"], "doi": []}, {"id": "a50099f5364d3d4e82991418647c727f0f9c297c", "title": "A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E100.D/8/E100.D_2016EDP7438/_pdf"], "doi": ["http://doi.org/10.1587/transinf.2016EDP7438", "http://search.ieice.org/bin/summary.php?id=e100-d_8_1827"]}]}
\ No newline at end of file +{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "dataset": {"key": "cuhk_train_station", "name_short": "CUHK Train Station Dataset", "name_display": "CUHK Train Station Dataset", "name_full": "CUHK Train Station Dataset", "purpose": "Crowd behavior analysis", "comment": "", "funded_by": "Research Grants Council of Hong Kong (RGC project No. CUHK417110 and CUHK417011) and National Natural Science Foundation of China (project no. 61005057), and by Guangdong Province through Introduced Innovative R&D Team of Guangdong Province 201001D0104648280", "license": "", "url": "http://www.ee.cuhk.edu.hk/~xgwang/grandcentral.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "cooperative": "", "indoor": "Y", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "source": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "", "ongoing": "", "images": "", "videos": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "", "notes": "", "derivative_of": ""}, "paper": {"paper_id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "key": "cuhk_train_station", "title": "Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents", "year": "2012", "pdf": [], "address": {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, "name": "CUHK Train Station Dataset", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248013"]}, "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "additional_papers": [], "citations": [{"id": "3c98a61bbe557b4f4c1655035e4aae43b7152bbe", "title": "Extracting descriptive motion information from crowd scenes", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402493"]}, {"id": "0b78c77c73ecbc07e8deb361e79d97660ce231a5", "title": "Social Attribute-Aware Force Model: Exploiting Richness of Interaction for Abnormal Crowd Detection", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.jdl.ac.cn/doc/2011/2016119833767489_social%20attribute-aware%20force%20model%20exploiting%20richness%20of%20interaction%20for%20abnormal%20crowd%20detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6894168", "http://doi.org/10.1109/TCSVT.2014.2355711"]}, {"id": "f424f6740dcfa7b27b4b5f6adec5f6acd4d6b2a3", "title": "Interactive and adaptive data-driven crowd simulation", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7504685"]}, {"id": "462346f8e30c54a5211589dc99164162e4b1e8e2", "title": "Data-Driven Agent-Based Simulation for Pedestrian Capacity Analysis", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://www.iccs-meeting.org/archive/iccs2018/papers/108610100.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-93701-4_8"]}, {"id": "37f35a05733e11cd490897a3c6d906abfe5ce434", "title": "Point-based path prediction from polar histograms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528123"]}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "e678d89c65f715294a9f7d14e32dd1b3ecf50246", "title": "Analyzing motion patterns in crowded scenes via automatic tracklets clustering", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6506940"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "840f2258318d3e339caee706c51c514d156ade8a", "title": "Motion pattern analysis in crowded scenes based on hybrid generative-discriminative feature maps", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738584"]}, {"id": "06ea877e7599c28d043fdbbcb6fe68b032dda008", "title": "Trajectory clustering for motion pattern extraction in aerial videos", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "source_name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025203"]}, {"id": "0912ea64eb6e1938c421566688b5eafd80d8f968", "title": "A \"semi-lazy\" approach to probabilistic path prediction", "addresses": [{"name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2487609"]}, {"id": "cbf14c7b515fa30b1da1f19e1610582dc7b2932f", "title": "Multi-modal recognition of manipulation activities through visual accelerometer tracking, relational histograms, and user-adaptation", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbf1/4c7b515fa30b1da1f19e1610582dc7b2932f.pdf"], "doi": []}, {"id": "2b102276e1d22b517cb482929b8c58db88647d9c", "title": "Kernel density estimation for target trajectory prediction", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7353858"]}, {"id": "aa358f4a0578234e301a305d8c5de8d859083a4c", "title": "Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2014/Discriminative%20Orderlet%20Mining%20For%20Real-time%20Recognition%20of%20Human-Object%20Interaction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/379.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_4"]}, {"id": "26bfabc72c937fd4feddf585b4989407dea90c59", "title": "Learning behavior patterns from video for agent-based crowd modeling and simulation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s10458-016-9334-8"]}, {"id": "296642b2aa7f2cad51b04aaa74426122e96f3a9a", "title": "Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930157.pdf", "http://www.varcity.eu/paper/eccv2014_manen_deceptiveness.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01140.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_11", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930157/esm2.PDF"]}, {"id": "9e4f23b76b0eb2cb209faabcc80011a2e12d31a8", "title": "Anchor-based group detection in crowd scenes", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952382"]}, {"id": "7c0b4ace044848f8e156e5ec898847a075905495", "title": "Pedestrian group attributes detection in crowded scenes", "addresses": [{"name": "Universiti Teknologi Petronas", "source_name": "Universiti Teknologi PETRONAS", "street_adddress": "UTP, Universiti Teknologi Petronas, Persiaran Desa Kediaman, Puncak Iskandar, Seri Iskandar, PRK, 32610, Malaysia", "lat": "4.38304640", "lng": "100.97001540", "type": "edu", "country": "Malaysia"}, {"name": "Umm Al-Qura University", "source_name": "Umm Al-Qura University, Mecca, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0623\u0645\u064a\u0631 \u0633\u0644\u0637\u0627\u0646 \u0628\u0646 \u0639\u0628\u062f \u0627\u0644\u0639\u0632\u064a\u0632\u060c Makkah Saudi Arabia", "lat": "21.32983610", "lng": "39.94888910", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075584", "http://doi.org/10.1109/ATSIP.2017.8075584"]}, {"id": "7e8e7d4901c1c95f6890cee58bf5759e17f3d2e4", "title": "Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition", "addresses": [{"name": "Keele University", "source_name": "Keele University, Staffordshire, United Kingdom", "street_adddress": "Keele, Newcastle ST5 5BG, UK", "lat": "53.00343730", "lng": "-2.27205300", "type": "edu", "country": "United Kingdom"}, {"name": "Kingston University London", "source_name": "Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE", "street_adddress": "Penrhyn Rd, Kingston upon Thames KT1 2EE, UK", "lat": "51.40324310", "lng": "-0.30348820", "type": "edu", "country": "United Kingdom"}, {"name": "Leeds Beckett University", "source_name": "Leeds Beckett University, West Yorkshire, United Kingdom", "street_adddress": "Leeds LS1 3HE, UK", "lat": "53.80364250", "lng": "-1.54742920", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451190"]}, {"id": "a9c9da8f8b4e58cf19cd1fee264f1f05f94f5ac0", "title": "Crowd collectiveness measure via graph-based node clique learning", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06170.pdf"], "doi": []}, {"id": "e1c5cc548f3b6ed5e76a24552832705e4fc0aa4e", "title": "Detect coherent motions in crowd scenes based on tracklets association", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351649"]}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "712d25810688673446202c43bd3d872e72f75bbe", "title": "Cluster-Based Crowd Movement Behavior Detection", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615809"]}, {"id": "64b22e5af5dc07309c85a742728ff6f476bd71d1", "title": "Modeling Collective Crowd Behaviors in Video", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/64b2/2e5af5dc07309c85a742728ff6f476bd71d1.pdf"], "doi": []}, {"id": "1a0e73f5319fe08dc92b049e0e3a82b8d052c741", "title": "Collective Density Clustering for Coherent Motion Detection", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100995", "http://doi.org/10.1109/TMM.2017.2771477"]}, {"id": "c33f02a04c7a7b683480e126230a0487ee0a1358", "title": "Crowded Scene Analysis: A Survey", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6898845"]}, {"id": "7ade8aade0d464ea9a677c7c22a51d1f81edb6e9", "title": "Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7ade/8aade0d464ea9a677c7c22a51d1f81edb6e9.pdf"], "doi": []}, {"id": "8ce5a8d409000d65c7d3b98074a3d3c178eb5ee6", "title": "A Role-Dependent Data-Driven Approach for High-Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3177776"]}, {"id": "865efdda03e296a5936c883b41c916333e008de7", "title": "Mixture of Switching Linear Dynamics to Discover Behavior Patterns in Object Tracks", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7121003"]}, {"id": "4085520db76eaf952a402d8018dee969d54dbe97", "title": "Trending Paths: A New Semantic-Level Metric for Comparing Simulated and Real Crowd Data", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797248"]}, {"id": "972f59c4b68ce4c911e7df83cb7bcca8b99932fa", "title": "Measuring orderliness based on social force model in collective motions", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706431"]}, {"id": "2637a5d0b677eb3145e5bc484337f99b8486014f", "title": "L0 Regularized Stationary Time Estimation for Crowd Group Analysis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/l0crowda_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yi_L0_Regularized_Stationary_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_dataset_stationaryCrowd.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_suppdf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909681", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.284", "http://doi.org/10.1109/CVPR.2014.284"]}, {"id": "d720fc6202edccf9b2d4506d1dc23d509e019b5e", "title": "Forecasting Events Using an Augmented Hidden Conditional Random Field", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/164.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150121085032/Forecasting-Events-using-an-Augmented-Hidden-Conditional-Random-Field-Paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16817-3_37"]}, {"id": "b322edcdb9f395d82a6fb4c6c640ec5340a24404", "title": "Semantic Analysis for Crowded Scenes Based on Non-Parametric Tracklet Clustering", "addresses": [{"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b322/edcdb9f395d82a6fb4c6c640ec5340a24404.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "be21cd7fae28f04871ae69e5167fb676ee17a08a", "title": "Motion based Event Analysis", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/be21/cd7fae28f04871ae69e5167fb676ee17a08a.pdf"], "doi": []}, {"id": "e7975261539329e83a4b404c0da177f78c00dbd4", "title": "Counting People Crossing a Line Using Integer Programming and Local Features", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount-app.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295569", "http://doi.org/10.1109/TCSVT.2015.2489418"]}, {"id": "0b2fd54888fe77ddebdd4eeb53b72dfd1b73a9b8", "title": "Coherent Filtering: Detecting Coherent Motions from Crowd Clutters", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/bzhou/publication/boleieccv2012.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTWeccv12.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_61"]}, {"id": "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "title": "Automatic Event Detection for Signal-based Surveillance", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01611.pdf"], "doi": []}, {"id": "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "title": "Crowd Tracking by Group Structure Evolution", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583654", "http://doi.org/10.1109/TCSVT.2016.2615460"]}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "fa030e4b18e3d19336fdd406790efce04ab49524", "title": "Understanding Collective Activitiesof People from Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654151"]}, {"id": "87436afcf6e1d602ae4b72845cb27ae84825ef77", "title": "Modelling Human Movements With Turing Learning", "addresses": [{"name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "source_name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "street_adddress": "The Hague, Netherlands", "lat": "52.07049780", "lng": "4.30069990", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8628691"]}, {"id": "c229b92d12fc678c05db49b89bb333d1ff563cb6", "title": "An Efficient Method of Crowd Aggregation Computation in Public Areas", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7990566"]}, {"id": "966f2106b12d2425185add5666816abf8c834e64", "title": "Localization of region of interest in surveillance scene", "addresses": [{"name": "Haldia Institute of Technology, Haldia, India", "source_name": "Haldia Institute of Technology, Haldia, India", "street_adddress": "P.O HIT, HIT College Rd, Kshudiram Nagar, Haldia, West Bengal 721657, India", "lat": "22.05059210", "lng": "88.07221260", "type": "edu", "country": "India"}, {"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}, {"name": "Khalifa University", "source_name": "Khalifa University", "street_adddress": "Khalifa University, \u0634\u0627\u0631\u0639 \u0637\u064e\u0648\u0650\u064a \u0645\u064f\u0648\u064e\u064a\u0644\u0650\u062d, \u0642\u0635\u0631 \u0627\u0644\u0634\u0627\u0637\u0626, \u062d\u062f\u0628\u0629 \u0627\u0644\u0632\u0651\u064e\u0639\u0652\u0641\u0631\u0627\u0646\u0629, \u0623\u0628\u0648\u0638\u0628\u064a, \u0623\u0628\u0648 \u0638\u0628\u064a, 31757, \u0627\u0644\u0625\u0645\u0627\u0631\u0627\u062a \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0645\u062a\u062d\u062f\u0629", "lat": "24.44690250", "lng": "54.39425630", "type": "edu", "country": "United Arab Emirates"}, {"name": "National Institute of Technology, Durgapur", "source_name": "National Institute of Technology, Durgapur, India", "street_adddress": "National Institute Of Technology, Durgapur, Priyadarshini Indira Sarani, Durgapur, B\u0101nkur\u0101, West Bengal, 713209, India", "lat": "23.54869625", "lng": "87.29105712", "type": "edu", "country": "India"}, {"name": "Sookmyung Women\u2019s University", "source_name": "Sookmyung Women\u2019s University, Seoul, Republic of Korea", "street_adddress": "100 Cheongpa-ro 47-gil, Cheongpadong 2(i)-ga, Yongsan-gu, Seoul, South Korea", "lat": "37.54636440", "lng": "126.96483110", "type": "edu", "country": "South Korea"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3762-y"]}, {"id": "6e084ecb7e88d267ed1f0db7fca90a1c126bd361", "title": "Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517342"]}, {"id": "3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f", "title": "Social Signaling Descriptor for Group Behaviour Analysis", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3b1b/a9818e2ee6a54e7ec033c5b2ec8bdbe2935f.pdf"], "doi": []}, {"id": "5f2989f2c323a4fb5de8720cdfbbae1887d8e6bb", "title": "A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5f29/89f2c323a4fb5de8720cdfbbae1887d8e6bb.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "ce9321feeb4239ba69604a6b729abd0dc876f325", "title": "A State-ofthe-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ce93/21feeb4239ba69604a6b729abd0dc876f325.pdf"], "doi": []}, {"id": "b2b28eeeaa2b613bf30b5bfee5ec4272ce184bf3", "title": "Measuring Collectiveness via Refined Topological Similarity", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2854000"]}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "0ad6dc4554fd5c0212993677c160af31fd27e243", "title": "Measuring Crowd Collectiveness", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/projects/collectiveness/presentation_cvpr2013.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/final_collectiveness.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/pami.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d049.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhou_Measuring_Crowd_Collectiveness_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang//papers/zhouTWcvpr13.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTZXtpami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714561", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.392", "http://doi.org/10.1109/TPAMI.2014.2300484", "https://www.ncbi.nlm.nih.gov/pubmed/26353340", "https://www.wikidata.org/entity/Q50857290"]}, {"id": "806bf27919283dd4db3aef8a64e053ca5052840d", "title": "The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6576843", "http://doi.org/10.1109/TIFS.2013.2277773"]}, {"id": "e9c4c8639dc57f84dd698b91a27d9c30c90923f1", "title": "A Role-dependent Data-driven Approach for High Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2901382"]}, {"id": "cb733afac3a9a17463645ceda19406a684a19883", "title": "Model-driven multi-target tracking in crowd scenes", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641176"]}, {"id": "afa24eb881c7011e851f8a12dea32a7293cffefa", "title": "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2282-z", "https://www.wikidata.org/entity/Q57714766"]}, {"id": "259e4aca87b8724b4c9df2315b976237481a1929", "title": "Pedestrian Behavior Understanding and Prediction with Deep Neural Networks", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/259e/4aca87b8724b4c9df2315b976237481a1929.pdf"], "doi": []}, {"id": "46bdfee362a4de978d24d53fd704d64d82273718", "title": "Crowd Tracking with Dynamic Evolution of Group Structures", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}, {"name": "Shenzhen, China", "source_name": "Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940139.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_10"]}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "aed274a7e72bdd9250e22d22614b87c8b5bfe8ce", "title": "Profiling stationary crowd groups", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/yiWicme14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890138", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890138", "http://doi.org/10.1109/ICME.2014.6890138"]}, {"id": "7653348a68e20f1a85ddcb56fdb6623ab0927ca0", "title": "Detection of Global and Local Motion Changes in Human Crowds", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7524675"]}, {"id": "aa47114dd92bc6f2c01f579211ed006a7cb7d650", "title": "Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08391.pdf"], "doi": []}, {"id": "4c4622ae838ce86313c2979c0ebeec077713161e", "title": "A Bayesian Model for Crowd Escape Behavior Detection", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6574248", "http://doi.org/10.1109/TCSVT.2013.2276151"]}, {"id": "9bb00be1b904d162a6d3911897f89e93987a8c90", "title": "Understanding Crowd Collectivity : A Meta-Tracking Approach", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bb0/0be1b904d162a6d3911897f89e93987a8c90.pdf"], "doi": []}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "0b6f776c45b6f81cd9f9ae2bb8aca0bc2f541528", "title": "Crowd counting using accumulated HOG", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603465"]}, {"id": "814d60ed249c62314d389e8b8cb7d6794289b647", "title": "Modeling Trajectory-level Behaviors using Time Varying Pedestrian Movement Dynamics", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/814d/60ed249c62314d389e8b8cb7d6794289b647.pdf"], "doi": []}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "c68f3b6ab8782427cab32b474a094416e108c1e8", "title": "Crowd Scene Understanding with Coherent Recurrent Neural Networks", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c68f/3b6ab8782427cab32b474a094416e108c1e8.pdf"], "doi": []}, {"id": "4d5d49331c8ff096d6b02c8f84b3da9eede04ab7", "title": "Clustering Trajectories in Heterogeneous Representations for Video Event Detection", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451160"]}, {"id": "20eb15b26bb2da84bba2846d77a9c1b6150e2b72", "title": "Early Detection of Herding Behaviour during Emergency Evacuations", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/20eb/15b26bb2da84bba2846d77a9c1b6150e2b72.pdf"], "doi": []}, {"id": "a50099f5364d3d4e82991418647c727f0f9c297c", "title": "A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E100.D/8/E100.D_2016EDP7438/_pdf"], "doi": ["http://doi.org/10.1587/transinf.2016EDP7438", "http://search.ieice.org/bin/summary.php?id=e100-d_8_1827"]}]}
\ No newline at end of file diff --git a/site/datasets/final/duke_mtmc.json b/site/datasets/final/duke_mtmc.json index 025e0073..e9b1a670 100644 --- a/site/datasets/final/duke_mtmc.json +++ b/site/datasets/final/duke_mtmc.json @@ -1 +1 @@ -{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "dataset": {"key": "duke_mtmc", "name_short": "Duke MTMC", "name_display": "Duke MTMC Dataset", "name_full": "Duke Multi-Target, Multi-Camera Tracking Project", "purpose": "Person re-identification and multi-camera tracking", "comment": "DukeMTMC-reID is a subset of DukeMTMC ", "funded_by": "", "license": "CC BY-NC-SA 4.0", "url": "http://vision.cs.duke.edu/DukeMTMC/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "2,000,000 ", "videos": "", "identities": "1,812 ", "img_per_person": "", "num_cameras": "8", "faces_or_persons": "36411", "female": "", "male": "", "landmarks": "", "width": "1920", "height": "1080", "color": "Y", "gray": "", "tags": "ped_detect, pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "Berit, wrong number of identities", "derivative_of": ""}, "paper": {"paper_id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "key": "duke_mtmc", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "name": "Duke MTMC", "doi": []}, "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "additional_papers": [{"paper_id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "key": "duke_mtmc", "title": "Improving Person Re-identification by Attribute and Identity Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "address": "", "name": "Duke MTMC", "doi": []}, {"paper_id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "key": "duke_mtmc", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "address": "", "name": "Duke MTMC", "doi": []}, {"paper_id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "key": "duke_mtmc", "title": "Tracking Multiple People Online and in Real Time", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "address": "", "name": "Duke MTMC", "doi": []}], "citations": [{"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "8c7ee7acf850562e7515a3e01800c98cc393e62b", "title": "Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3241059"]}, {"id": "1ec8e7879c616a53dbc7903705d5b0840c1945ad", "title": "Pedestrian attributes recognition in surveillance scenarios with hierarchical multi-task CNN models", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594728"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "2ac02e4021d903a6d115cc774a3ee7cbf8a532a5", "title": "Joint tracking with event grouping and temporal constraints", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078515"]}, {"id": "5c976886fcda366d138038f796a1bd9e8e9b5066", "title": "LSTM Multiple Object Tracker Combining Multiple Cues", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451739", "http://doi.org/10.1109/ICIP.2018.8451739"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "dataset": {"key": "duke_mtmc", "name_short": "Duke MTMC", "name_display": "Duke MTMC Dataset", "name_full": "Duke Multi-Target, Multi-Camera Tracking Project", "purpose": "Person re-identification and multi-camera tracking", "comment": "DukeMTMC-reID is a subset of DukeMTMC ", "funded_by": "", "license": "CC BY-NC-SA 4.0", "url": "http://vision.cs.duke.edu/DukeMTMC/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "2,000,000 ", "videos": "", "identities": "1,812 ", "img_per_person": "", "num_cameras": "8", "faces_or_persons": "36411", "female": "", "male": "", "landmarks": "", "width": "1920", "height": "1080", "color": "Y", "gray": "", "tags": "ped_detect, pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "Berit, wrong number of identities", "derivative_of": ""}, "paper": {"paper_id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "key": "duke_mtmc", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "name": "Duke MTMC", "doi": []}, "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "additional_papers": [{"paper_id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "key": "duke_mtmc", "title": "Improving Person Re-identification by Attribute and Identity Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "address": "", "name": "Duke MTMC", "doi": []}, {"paper_id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "key": "duke_mtmc", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "address": "", "name": "Duke MTMC", "doi": []}, {"paper_id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "key": "duke_mtmc", "title": "Tracking Multiple People Online and in Real Time", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "address": "", "name": "Duke MTMC", "doi": []}], "citations": [{"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "8c7ee7acf850562e7515a3e01800c98cc393e62b", "title": "Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3241059"]}, {"id": "1ec8e7879c616a53dbc7903705d5b0840c1945ad", "title": "Pedestrian attributes recognition in surveillance scenarios with hierarchical multi-task CNN models", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594728"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "2ac02e4021d903a6d115cc774a3ee7cbf8a532a5", "title": "Joint tracking with event grouping and temporal constraints", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078515"]}, {"id": "5c976886fcda366d138038f796a1bd9e8e9b5066", "title": "LSTM Multiple Object Tracker Combining Multiple Cues", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451739", "http://doi.org/10.1109/ICIP.2018.8451739"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/final/ilids_mcts_vid.json b/site/datasets/final/ilids_mcts_vid.json index e8a5a609..fd7993c9 100644 --- a/site/datasets/final/ilids_mcts_vid.json +++ b/site/datasets/final/ilids_mcts_vid.json @@ -1 +1 @@ -{"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "dataset": {"key": "ilids_mcts_vid", "name_short": "iLIDS-VID", "name_display": "iLIDS-VID", "name_full": "iLIDS Video Re-IDentification", "purpose": "person re identification", "comment": "pics from airport: indoors but public space. Derivative? : \"we introduce a new image sequence re-id dataset (iLIDS-VID) based on the i-LIDS MCT benchmark data\"", "funded_by": "", "license": "", "url": "http://www.eecs.qmul.ac.uk/~xiatian/downloads_qmul_iLIDS-VID_ReID_dataset.html", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "cooperative": "N", "indoor": "Y", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "source": "cctv, ilids_mcts", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "43,800 ", "videos": "", "identities": "300 ", "img_per_person": "", "num_cameras": "2", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "128", "height": "64", "color": "Y", "gray": "", "tags": "pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": "Y"}, "paper": {"paper_id": "98bb029afe2a1239c3fdab517323066f0957b81b", "key": "ilids_mcts_vid", "title": "Person Re-identification by Video Ranking", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf"], "address": "", "name": "iLIDS-VID", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "f49734bc34cb7cc50938a18e72d5fe338fa8a8fd", "title": "Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos", "addresses": [{"name": "Jyothi Institute of Technology, Bengaluru, India", "source_name": "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "street_adddress": "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "lat": "12.84122790", "lng": "77.51195860", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-017-0136-9"]}, {"id": "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "title": "Dynamic Label Graph Matching for Unsupervised Video Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09297.pdf"], "doi": []}, {"id": "014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7", "title": "Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ab6e/d75e1b1952e4461fc603bcfd042bb462635f.pdf"], "doi": []}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "8899b274fdb4ff77de40a15a958ab5ea4b4a6477", "title": "Deep spatio-temporal network for accurate person re-identification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001673"]}, {"id": "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "title": "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240622"]}, {"id": "15d99a8ebf09304916a082a4effdb215ff0a54f0", "title": "Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451494", "http://doi.org/10.1109/ICIP.2018.8451494"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "745d289e559dcbbfb938790735aa221fbb585a05", "title": "Distributed and Unsupervised Cost-Driven Person Re-Identification", "addresses": [{"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/5th%20%20Choice/0171.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899804", "http://doi.org/10.1109/ICPR.2016.7899804"]}, {"id": "92dbaaabb91d14ec71843970c604303680c26695", "title": "Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296253", "http://doi.org/10.1109/ICIP.2017.8296253"]}, {"id": "6b6207c49c7b41b171388fc2228304de148f0a96", "title": "Person Search by Multi-Scale Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08582.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "title": "Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05799.pdf"], "doi": []}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "c25a71d01255b96c08dc36e79dc7200347574a04", "title": "Multi-shot person re-identification using a novel video covariance approach", "addresses": [{"name": "Sfax University", "source_name": "Laboratory of Computer and Embedded Systems, Sfax University, Sfax, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019640"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "fac6b4562053853db517ff6511c6daff2e6a1a7b", "title": "Deep Low-Resolution Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fac6/b4562053853db517ff6511c6daff2e6a1a7b.pdf"], "doi": []}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "title": "Attributes co-occurrence pattern mining for video-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078469", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078469", "http://doi.org/10.1109/AVSS.2017.8078469"]}, {"id": "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "title": "A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00975.pdf"], "doi": []}, {"id": "e0c6748799529ee035b21f040187d1e6df232624", "title": "Temporally aligned pooling representation for video-based person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533168", "http://doi.org/10.1109/ICIP.2016.7533168"]}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "title": "Improving Person Re-identification via Pose-Aware Multi-shot Matching", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cho_Improving_Person_Re-Identification_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780520", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.151", "http://doi.org/10.1109/CVPR.2016.151"]}, {"id": "53baabad70915a852477c2191b8bdb005b8cc4a5", "title": "Temporal-Enhanced Convolutional Network for Person Re-Identification", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53ba/abad70915a852477c2191b8bdb005b8cc4a5.pdf"], "doi": []}, {"id": "99eb4cea0d9bc9fe777a5c5172f8638a37a7f262", "title": "Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning", "addresses": [{"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7480858", "http://doi.org/10.1109/LSP.2016.2574323"]}, {"id": "61f56afc7713ebfacfe382d1824966cb9b967d34", "title": "An Ensemble of Invariant Features for Person Reidentification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Huawei Research and Development, Santa Clara, CA", "source_name": "Huawei Research and Development, Santa Clara, CA, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779129", "http://doi.org/10.1109/TCSVT.2016.2637818"]}, {"id": "ffe3d6fcfee0378e7afa0eb334a454144b5bd272", "title": "Semi-Coupled Dictionary Learning With Relaxation Label Space Transformation for Video-Based Person Re-Identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286855", "http://doi.org/10.1109/ACCESS.2018.2803789"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "title": "Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1afd/c0b42d25df25a7cd4b304493e9b521c84f0f.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "43edcd7968be3abd25f8ec44ab6d6182b7277afd", "title": "Spatial Quality Aware Network for Video-Based Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_4"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "5fb23b55de1c613517f55a1b878bc68bd4b543e3", "title": "Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01119.pdf"], "doi": []}, {"id": "774b649c75078e10759b3b6c8ea581e68fc45a40", "title": "Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2c8a/064665c280942ba717a46c590b4735a8fc1e.pdf"], "doi": []}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "9f1b39e8d157b74181c666e85e5d55550d762409", "title": "Three-Stream Convolutional Networks for Video-based Person Re-Identification", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01652.pdf"], "doi": []}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "15180235b45506f87057f53d688729fbd9f2e291", "title": "A new method of video-surveillance data analytics for the security in camera networks", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "University of Technology of Troyes", "source_name": "Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325928"]}, {"id": "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "title": "Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4649-2"]}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "3e90a70d768415e28fbf0dd56e53f8933784c416", "title": "Highly Efficient Regression for Scalable Person Re-Identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01341.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "ab1b95677e8ea0f9881520b34a5f8192d141ef0e", "title": "Corrections to \u201cRelevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities\u201d [Dec 15 4741-4755]", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364308", "http://doi.org/10.1109/TIP.2015.2466117", "https://www.ncbi.nlm.nih.gov/pubmed/26259221", "https://www.wikidata.org/entity/Q39195975"]}, {"id": "e7d840cf207802918e5b09af0a650b8f38f824a8", "title": "Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03989.pdf"], "doi": []}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "1ecbcdf1ff0b78170b39985a26a7ab034ab73c60", "title": "Multi-view based coupled dictionary learning for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304357", "http://doi.org/10.1109/SPAC.2017.8304357"]}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "700ae4e8a6e64e08a5d551bf174f31ca20b61e18", "title": "Phasic maximal and local maximal occurrence representation for video-based person re-identification", "addresses": [{"name": "PLA University of Science and Technology", "source_name": "PLA University of Science and Technology, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8230298"]}, {"id": "ef230e3df720abf2983ba6b347c9d46283e4b690", "title": "QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef23/0e3df720abf2983ba6b347c9d46283e4b690.pdf"], "doi": []}, {"id": "19bcd3bd41825a67f48db701a68030c5e6763152", "title": "Partial Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengEtAl_ICCV2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410888", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.531", "http://doi.org/10.1109/ICCV.2015.531"]}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "9963c73b03e4649959f021ef6f4fb1eac0b617d2", "title": "Person Reidentification Using Multiple Egocentric Views", "addresses": [{"name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "source_name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2017/Person%20Re-identification%20Using%20Multiple%20Egocentric%20Views.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583680", "http://doi.org/10.1109/TCSVT.2016.2615445"]}, {"id": "df6934f32d0b9810ba29a8155a7712ed1155cf9b", "title": "Tracklet and Signature Representation for Multi-Shot Person Re-Identification", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570441"]}, {"id": "19ae769aa067b5bd781882cd18551f7abe01bcf1", "title": "Data Generation for Improving Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123302"]}, {"id": "411278b73afedca6976f02a8d3a38cdec3337f87", "title": "Cross-view projective dictionary learning for person re-identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ijcai.org/Proceedings/15/Papers/305.pdf", "http://www.ijcai.org/Proceedings/15/Papers/305.pdf"], "doi": ["http://ijcai.org/Abstract/15/305"]}, {"id": "53881bb35cb98c788f75fbc8c76198ccbc50edbf", "title": "Selective experience replay in reinforcement learning for reidentification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2016/selective%20experience.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533161", "http://doi.org/10.1109/ICIP.2016.7533161"]}, {"id": "c27ef63f9611c5ccde35d25344b25205973a9c6e", "title": "RAM: Role Representation and Identification from combined Appearance and Activity Maps", "addresses": [{"name": "Santa Barbara Cottage Hospital", "source_name": "Santa Barbara Cottage Hospital", "street_adddress": "West Junipero St. and, Castillo St, Santa Barbara, CA 93105, United States", "lat": "34.43044630", "lng": "-119.72379670", "type": "edu", "country": "United States"}, {"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131928"]}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "9c675774d49be7ba428c80142cb63ed4267d3c46", "title": "Low illumination person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6239-3"]}, {"id": "52a152b985b298be4b382d0b6045e31f43850c6f", "title": "Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00553.pdf"], "doi": []}, {"id": "7965b2ce7d64991218515e20fc1fc0459fd20a38", "title": "Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11261.pdf"], "doi": []}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "b30f9116df47ba70a71e04ba8722a13f87719599", "title": "A spatio-temporal covariance descriptor for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "University of Technology of Troyes", "source_name": "Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7489188", "http://doi.org/10.1109/ISDA.2015.7489188"]}, {"id": "97527b3c58591926800e3586e13d99a8cf5b17ff", "title": "Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Technology, Princeton, NJ, USA", "source_name": "Siemens Corporate Technology, Princeton, NJ, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-tcsvt17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7994636", "http://doi.org/10.1109/TCSVT.2017.2732822"]}, {"id": "e3471f481c6b61489d8d48eb4668286f7db890da", "title": "Human body part classification from optical flow", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7734006", "http://doi.org/10.1109/URAI.2016.7734006"]}, {"id": "75150b16cee83641f01074568fe4b2d2eb3d0a31", "title": "Sparse coding with cross-view invariant dictionaries for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4893-5"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d348197e47a8e081bd3f12a22bc52b055ecd8302", "title": "Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07085.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "e56f2c9c0a2cf1db7ec49527cb70b345ec71cfbd", "title": "Person re-identification using a patch-based appearance model", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532460", "http://doi.org/10.1109/ICIP.2016.7532460"]}, {"id": "52118fbfbb0ad29e8eefee27438fdfc51b350c8f", "title": "MidRank: Learning to rank based on subsequences", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08951.pdf"], "doi": []}, {"id": "c9018677ec5bf65d92fd9fefdbd32c4e292dc2e4", "title": "A fast adaptive spatio-temporal 3D feature for video-based person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533170", "http://doi.org/10.1109/ICIP.2016.7533170"]}, {"id": "ddca5c18415bb855e76f9f459747685ee9c23a4d", "title": "MSMCT: Multi-State Multi-Camera Tracker", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048028", "http://doi.org/10.1109/TCSVT.2017.2755038"]}, {"id": "ac36284cfa95e613f9e726cd017a5dca207fe633", "title": "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7859378", "http://doi.org/10.1109/TIP.2017.2672440", "https://www.ncbi.nlm.nih.gov/pubmed/28237930", "https://www.wikidata.org/entity/Q53478605"]}, {"id": "0269312a7d49209fd9f1875e24df6a1d178fb15c", "title": "Subject centric group feature for person re-identification", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W04/papers/Wei_Subject_Centric_Group_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301280", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301280", "http://doi.org/10.1109/CVPRW.2015.7301280"]}, {"id": "7f45292369a5214984b4a15c65330ada474b0150", "title": "Person re-identification with spatial appearance group feature", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7568919"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "52ed30920f2f96970c4f79d6768436ed855dad42", "title": "Active image pair selection for continuous person re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://cs-people.bu.edu/dasabir/papers/ICIP_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351610", "http://doi.org/10.1109/ICIP.2015.7351610"]}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "title": "Independent metric learning with aligned multi-part features for video-based person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-7119-6"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "0318c74b1cdec63de4c9577e9e600a48241adfc2", "title": "Sparse re-id: Block sparsity for person re-identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-msf15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W14/papers/Karanam_Sparse_Re-Id_Block_2015_CVPR_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-msf15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301392", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301392", "http://doi.org/10.1109/CVPRW.2015.7301392"]}, {"id": "033f0a769c60ea47928a805ea0b000278748c271", "title": "Diversity regularized metric learning for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533164", "http://doi.org/10.1109/ICIP.2016.7533164"]}, {"id": "21fbcd455db2ed78d47d10fd16ed88b667632906", "title": "Weight-based sparse coding for multi-shot person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11432-015-5404-9"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "1eab461a69ea758bf433342a35c6035876d45f3a", "title": "Learning to Rank Based on Subsequences", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~basura/papers/ICCV_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fernando_Learning_to_Rank_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410676", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.319", "http://doi.org/10.1109/ICCV.2015.319"]}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "bfec95482dc40936cbb33d386890aad48483adc4", "title": "An ensemble of invariant features for person re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "ETRI, Korea", "source_name": "SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340791", "http://doi.org/10.1109/MMSP.2015.7340791"]}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "89198580f18cad7f62393732868a977ffae57917", "title": "Person re-identification by distance metric learning to discrete hashing", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532465", "http://doi.org/10.1109/ICIP.2016.7532465"]}, {"id": "f5d9da15409bbed02a640c4e716a456b659c8346", "title": "Attentional convolutional neural networks for object tracking", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8384903"]}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "7346838bcd4c372fe79cb85ac519e0b4f06fd7b5", "title": "LOMO3D descriptor for video-based person re-identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309044", "http://doi.org/10.1109/GlobalSIP.2017.8309044"]}, {"id": "4996e64c24cef33d0f7e5a2b1c3baf00e51493e6", "title": "Deep Relative Distance Learning: Tell the Difference between Similar Vehicles", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.238", "http://doi.org/10.1109/CVPR.2016.238"]}, {"id": "012cdba79f672e45240791d6c52f213640347b54", "title": "Cross-view transformation based sparse reconstruction for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900161", "http://doi.org/10.1109/ICPR.2016.7900161"]}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "c458db5d616058fbd9de19acc6c82827396cf195", "title": "Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-iccv15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410870", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.513", "http://doi.org/10.1109/ICCV.2015.513"]}, {"id": "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "title": "A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410791"]}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "314142838289cac416098cbc2bbe796dcbd2357b", "title": "Fusion of Interest Point/Image based descriptors for efficient person re-identification", "addresses": [{"name": "University of Paris-Saclay", "source_name": "SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France", "street_adddress": "Courcouronnes, 9 Rue Charles Fourier, 91000 \u00c9vry, France", "lat": "48.62468830", "lng": "2.44325110", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489111", "http://doi.org/10.1109/IJCNN.2018.8489111"]}, {"id": "589d06db45e2319b29fc96582ea6c8be369f57ed", "title": "Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/589d/06db45e2319b29fc96582ea6c8be369f57ed.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "dataset": {"key": "ilids_mcts_vid", "name_short": "iLIDS-VID", "name_display": "iLIDS-VID", "name_full": "iLIDS Video Re-IDentification", "purpose": "person re identification", "comment": "pics from airport: indoors but public space. Derivative? : \"we introduce a new image sequence re-id dataset (iLIDS-VID) based on the i-LIDS MCT benchmark data\"", "funded_by": "", "license": "", "url": "http://www.eecs.qmul.ac.uk/~xiatian/downloads_qmul_iLIDS-VID_ReID_dataset.html", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "cooperative": "N", "indoor": "Y", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "source": "cctv, ilids_mcts", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "43,800 ", "videos": "", "identities": "300 ", "img_per_person": "", "num_cameras": "2", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "128", "height": "64", "color": "Y", "gray": "", "tags": "pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": "Y"}, "paper": {"paper_id": "98bb029afe2a1239c3fdab517323066f0957b81b", "key": "ilids_mcts_vid", "title": "Person Re-identification by Video Ranking", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf"], "address": "", "name": "iLIDS-VID", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "f49734bc34cb7cc50938a18e72d5fe338fa8a8fd", "title": "Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos", "addresses": [{"name": "Jyothi Institute of Technology, Bengaluru, India", "source_name": "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "street_adddress": "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "lat": "12.84122790", "lng": "77.51195860", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-017-0136-9"]}, {"id": "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "title": "Dynamic Label Graph Matching for Unsupervised Video Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09297.pdf"], "doi": []}, {"id": "014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7", "title": "Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ab6e/d75e1b1952e4461fc603bcfd042bb462635f.pdf"], "doi": []}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "8899b274fdb4ff77de40a15a958ab5ea4b4a6477", "title": "Deep spatio-temporal network for accurate person re-identification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001673"]}, {"id": "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "title": "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240622"]}, {"id": "15d99a8ebf09304916a082a4effdb215ff0a54f0", "title": "Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451494", "http://doi.org/10.1109/ICIP.2018.8451494"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "745d289e559dcbbfb938790735aa221fbb585a05", "title": "Distributed and Unsupervised Cost-Driven Person Re-Identification", "addresses": [{"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/5th%20%20Choice/0171.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899804", "http://doi.org/10.1109/ICPR.2016.7899804"]}, {"id": "92dbaaabb91d14ec71843970c604303680c26695", "title": "Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296253", "http://doi.org/10.1109/ICIP.2017.8296253"]}, {"id": "6b6207c49c7b41b171388fc2228304de148f0a96", "title": "Person Search by Multi-Scale Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08582.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "title": "Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05799.pdf"], "doi": []}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "c25a71d01255b96c08dc36e79dc7200347574a04", "title": "Multi-shot person re-identification using a novel video covariance approach", "addresses": [{"name": "Sfax University", "source_name": "Laboratory of Computer and Embedded Systems, Sfax University, Sfax, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019640"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "fac6b4562053853db517ff6511c6daff2e6a1a7b", "title": "Deep Low-Resolution Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fac6/b4562053853db517ff6511c6daff2e6a1a7b.pdf"], "doi": []}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "title": "Attributes co-occurrence pattern mining for video-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078469", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078469", "http://doi.org/10.1109/AVSS.2017.8078469"]}, {"id": "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "title": "A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00975.pdf"], "doi": []}, {"id": "e0c6748799529ee035b21f040187d1e6df232624", "title": "Temporally aligned pooling representation for video-based person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533168", "http://doi.org/10.1109/ICIP.2016.7533168"]}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "title": "Improving Person Re-identification via Pose-Aware Multi-shot Matching", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cho_Improving_Person_Re-Identification_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780520", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.151", "http://doi.org/10.1109/CVPR.2016.151"]}, {"id": "53baabad70915a852477c2191b8bdb005b8cc4a5", "title": "Temporal-Enhanced Convolutional Network for Person Re-Identification", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53ba/abad70915a852477c2191b8bdb005b8cc4a5.pdf"], "doi": []}, {"id": "99eb4cea0d9bc9fe777a5c5172f8638a37a7f262", "title": "Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning", "addresses": [{"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7480858", "http://doi.org/10.1109/LSP.2016.2574323"]}, {"id": "61f56afc7713ebfacfe382d1824966cb9b967d34", "title": "An Ensemble of Invariant Features for Person Reidentification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Huawei Research and Development, Santa Clara, CA", "source_name": "Huawei Research and Development, Santa Clara, CA, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779129", "http://doi.org/10.1109/TCSVT.2016.2637818"]}, {"id": "ffe3d6fcfee0378e7afa0eb334a454144b5bd272", "title": "Semi-Coupled Dictionary Learning With Relaxation Label Space Transformation for Video-Based Person Re-Identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286855", "http://doi.org/10.1109/ACCESS.2018.2803789"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "title": "Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1afd/c0b42d25df25a7cd4b304493e9b521c84f0f.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "43edcd7968be3abd25f8ec44ab6d6182b7277afd", "title": "Spatial Quality Aware Network for Video-Based Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_4"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "5fb23b55de1c613517f55a1b878bc68bd4b543e3", "title": "Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01119.pdf"], "doi": []}, {"id": "774b649c75078e10759b3b6c8ea581e68fc45a40", "title": "Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2c8a/064665c280942ba717a46c590b4735a8fc1e.pdf"], "doi": []}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "9f1b39e8d157b74181c666e85e5d55550d762409", "title": "Three-Stream Convolutional Networks for Video-based Person Re-Identification", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01652.pdf"], "doi": []}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "15180235b45506f87057f53d688729fbd9f2e291", "title": "A new method of video-surveillance data analytics for the security in camera networks", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "University of Technology of Troyes", "source_name": "Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325928"]}, {"id": "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "title": "Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4649-2"]}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "3e90a70d768415e28fbf0dd56e53f8933784c416", "title": "Highly Efficient Regression for Scalable Person Re-Identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01341.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "ab1b95677e8ea0f9881520b34a5f8192d141ef0e", "title": "Corrections to \u201cRelevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities\u201d [Dec 15 4741-4755]", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364308", "http://doi.org/10.1109/TIP.2015.2466117", "https://www.ncbi.nlm.nih.gov/pubmed/26259221", "https://www.wikidata.org/entity/Q39195975"]}, {"id": "e7d840cf207802918e5b09af0a650b8f38f824a8", "title": "Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03989.pdf"], "doi": []}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "1ecbcdf1ff0b78170b39985a26a7ab034ab73c60", "title": "Multi-view based coupled dictionary learning for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304357", "http://doi.org/10.1109/SPAC.2017.8304357"]}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "700ae4e8a6e64e08a5d551bf174f31ca20b61e18", "title": "Phasic maximal and local maximal occurrence representation for video-based person re-identification", "addresses": [{"name": "PLA University of Science and Technology", "source_name": "PLA University of Science and Technology, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8230298"]}, {"id": "ef230e3df720abf2983ba6b347c9d46283e4b690", "title": "QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef23/0e3df720abf2983ba6b347c9d46283e4b690.pdf"], "doi": []}, {"id": "19bcd3bd41825a67f48db701a68030c5e6763152", "title": "Partial Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zheng_Partial_Person_Re-Identification_ICCV_2015_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengEtAl_ICCV2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410888", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.531", "http://doi.org/10.1109/ICCV.2015.531"]}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "9963c73b03e4649959f021ef6f4fb1eac0b617d2", "title": "Person Reidentification Using Multiple Egocentric Views", "addresses": [{"name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "source_name": "Agency for Science Technology and Research, Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2017/Person%20Re-identification%20Using%20Multiple%20Egocentric%20Views.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583680", "http://doi.org/10.1109/TCSVT.2016.2615445"]}, {"id": "df6934f32d0b9810ba29a8155a7712ed1155cf9b", "title": "Tracklet and Signature Representation for Multi-Shot Person Re-Identification", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570441"]}, {"id": "19ae769aa067b5bd781882cd18551f7abe01bcf1", "title": "Data Generation for Improving Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123302"]}, {"id": "411278b73afedca6976f02a8d3a38cdec3337f87", "title": "Cross-view projective dictionary learning for person re-identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ijcai.org/Proceedings/15/Papers/305.pdf", "http://www.ijcai.org/Proceedings/15/Papers/305.pdf"], "doi": ["http://ijcai.org/Abstract/15/305"]}, {"id": "53881bb35cb98c788f75fbc8c76198ccbc50edbf", "title": "Selective experience replay in reinforcement learning for reidentification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2016/selective%20experience.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533161", "http://doi.org/10.1109/ICIP.2016.7533161"]}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "c27ef63f9611c5ccde35d25344b25205973a9c6e", "title": "RAM: Role Representation and Identification from combined Appearance and Activity Maps", "addresses": [{"name": "Santa Barbara Cottage Hospital", "source_name": "Santa Barbara Cottage Hospital", "street_adddress": "West Junipero St. and, Castillo St, Santa Barbara, CA 93105, United States", "lat": "34.43044630", "lng": "-119.72379670", "type": "edu", "country": "United States"}, {"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131928"]}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "9c675774d49be7ba428c80142cb63ed4267d3c46", "title": "Low illumination person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6239-3"]}, {"id": "52a152b985b298be4b382d0b6045e31f43850c6f", "title": "Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00553.pdf"], "doi": []}, {"id": "7965b2ce7d64991218515e20fc1fc0459fd20a38", "title": "Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11261.pdf"], "doi": []}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "b30f9116df47ba70a71e04ba8722a13f87719599", "title": "A spatio-temporal covariance descriptor for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "University of Technology of Troyes", "source_name": "Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7489188", "http://doi.org/10.1109/ISDA.2015.7489188"]}, {"id": "97527b3c58591926800e3586e13d99a8cf5b17ff", "title": "Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Technology, Princeton, NJ, USA", "source_name": "Siemens Corporate Technology, Princeton, NJ, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-tcsvt17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7994636", "http://doi.org/10.1109/TCSVT.2017.2732822"]}, {"id": "e3471f481c6b61489d8d48eb4668286f7db890da", "title": "Human body part classification from optical flow", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7734006", "http://doi.org/10.1109/URAI.2016.7734006"]}, {"id": "75150b16cee83641f01074568fe4b2d2eb3d0a31", "title": "Sparse coding with cross-view invariant dictionaries for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4893-5"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d348197e47a8e081bd3f12a22bc52b055ecd8302", "title": "Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07085.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "e56f2c9c0a2cf1db7ec49527cb70b345ec71cfbd", "title": "Person re-identification using a patch-based appearance model", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532460", "http://doi.org/10.1109/ICIP.2016.7532460"]}, {"id": "52118fbfbb0ad29e8eefee27438fdfc51b350c8f", "title": "MidRank: Learning to rank based on subsequences", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08951.pdf"], "doi": []}, {"id": "c9018677ec5bf65d92fd9fefdbd32c4e292dc2e4", "title": "A fast adaptive spatio-temporal 3D feature for video-based person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533170", "http://doi.org/10.1109/ICIP.2016.7533170"]}, {"id": "ddca5c18415bb855e76f9f459747685ee9c23a4d", "title": "MSMCT: Multi-State Multi-Camera Tracker", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048028", "http://doi.org/10.1109/TCSVT.2017.2755038"]}, {"id": "ac36284cfa95e613f9e726cd017a5dca207fe633", "title": "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7859378", "http://doi.org/10.1109/TIP.2017.2672440", "https://www.ncbi.nlm.nih.gov/pubmed/28237930", "https://www.wikidata.org/entity/Q53478605"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "0269312a7d49209fd9f1875e24df6a1d178fb15c", "title": "Subject centric group feature for person re-identification", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W04/papers/Wei_Subject_Centric_Group_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301280", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301280", "http://doi.org/10.1109/CVPRW.2015.7301280"]}, {"id": "7f45292369a5214984b4a15c65330ada474b0150", "title": "Person re-identification with spatial appearance group feature", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7568919"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "52ed30920f2f96970c4f79d6768436ed855dad42", "title": "Active image pair selection for continuous person re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://cs-people.bu.edu/dasabir/papers/ICIP_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351610", "http://doi.org/10.1109/ICIP.2015.7351610"]}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "title": "Independent metric learning with aligned multi-part features for video-based person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-7119-6"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "0318c74b1cdec63de4c9577e9e600a48241adfc2", "title": "Sparse re-id: Block sparsity for person re-identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-msf15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W14/papers/Karanam_Sparse_Re-Id_Block_2015_CVPR_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-msf15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301392", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301392", "http://doi.org/10.1109/CVPRW.2015.7301392"]}, {"id": "033f0a769c60ea47928a805ea0b000278748c271", "title": "Diversity regularized metric learning for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533164", "http://doi.org/10.1109/ICIP.2016.7533164"]}, {"id": "21fbcd455db2ed78d47d10fd16ed88b667632906", "title": "Weight-based sparse coding for multi-shot person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11432-015-5404-9"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "1eab461a69ea758bf433342a35c6035876d45f3a", "title": "Learning to Rank Based on Subsequences", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~basura/papers/ICCV_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fernando_Learning_to_Rank_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410676", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.319", "http://doi.org/10.1109/ICCV.2015.319"]}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "bfec95482dc40936cbb33d386890aad48483adc4", "title": "An ensemble of invariant features for person re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "ETRI, Korea", "source_name": "SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340791", "http://doi.org/10.1109/MMSP.2015.7340791"]}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "89198580f18cad7f62393732868a977ffae57917", "title": "Person re-identification by distance metric learning to discrete hashing", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532465", "http://doi.org/10.1109/ICIP.2016.7532465"]}, {"id": "f5d9da15409bbed02a640c4e716a456b659c8346", "title": "Attentional convolutional neural networks for object tracking", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8384903"]}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "7346838bcd4c372fe79cb85ac519e0b4f06fd7b5", "title": "LOMO3D descriptor for video-based person re-identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309044", "http://doi.org/10.1109/GlobalSIP.2017.8309044"]}, {"id": "4996e64c24cef33d0f7e5a2b1c3baf00e51493e6", "title": "Deep Relative Distance Learning: Tell the Difference between Similar Vehicles", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.238", "http://doi.org/10.1109/CVPR.2016.238"]}, {"id": "012cdba79f672e45240791d6c52f213640347b54", "title": "Cross-view transformation based sparse reconstruction for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900161", "http://doi.org/10.1109/ICPR.2016.7900161"]}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "c458db5d616058fbd9de19acc6c82827396cf195", "title": "Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-iccv15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410870", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.513", "http://doi.org/10.1109/ICCV.2015.513"]}, {"id": "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "title": "A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410791"]}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "314142838289cac416098cbc2bbe796dcbd2357b", "title": "Fusion of Interest Point/Image based descriptors for efficient person re-identification", "addresses": [{"name": "University of Paris-Saclay", "source_name": "SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France", "street_adddress": "Courcouronnes, 9 Rue Charles Fourier, 91000 \u00c9vry, France", "lat": "48.62468830", "lng": "2.44325110", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489111", "http://doi.org/10.1109/IJCNN.2018.8489111"]}, {"id": "589d06db45e2319b29fc96582ea6c8be369f57ed", "title": "Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/589d/06db45e2319b29fc96582ea6c8be369f57ed.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/final/market_1501.json b/site/datasets/final/market_1501.json index ccbcef48..11dd4bab 100644 --- a/site/datasets/final/market_1501.json +++ b/site/datasets/final/market_1501.json @@ -1 +1 @@ -{"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "dataset": {"key": "market_1501", "name_short": "Market 1501", "name_display": "Market 1501", "name_full": "Market 1501 Dataset", "purpose": "Person re-identification", "comment": "cameras were placed in front of a campus supermarket", "funded_by": "", "license": "", "url": "http://www.liangzheng.org/Project/project_reid.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "N", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2015", "ongoing": "", "images": "32,668 ", "videos": "", "identities": "1,501 ", "img_per_person": "", "num_cameras": "6", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "128", "height": "64", "color": "Y", "gray": "", "tags": "fr, pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "Berit, images number was wrong", "derivative_of": ""}, "paper": {"paper_id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "key": "market_1501", "title": "Scalable Person Re-identification: A Benchmark", "year": "2015", "pdf": [], "address": "", "name": "Market 1501", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, "addresses": [], "additional_papers": [{"paper_id": "a7fe834a0af614ce6b50dc093132b031dd9a856b", "key": "market_1501", "title": "Orientation Driven Bag of Appearances for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02464.pdf"], "address": "", "name": "Market 1501", "doi": []}], "citations": [{"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "766209460c41d18ec357c6e1c8e79480b0c3c0f0", "title": "A Discriminatively Learning Model with Illumination Transfer for Inter-Camera Pedestrians Association", "addresses": [{"name": "Fuzhou University", "source_name": "Fuzhou University, Fuzhou, China", "street_adddress": "Xueyuan Rd, LiMing ShangQuan, Gulou Qu, Fuzhou Shi, Fujian Sheng, China, 350001", "lat": "26.08185050", "lng": "119.28650170", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3265673"]}, {"id": "29ce8c5df56424b9502984f5d263fbd30bc777a4", "title": "Similarity Learning with Listwise Ranking for Person Re-Identification", "addresses": [{"name": "INSA-Lyon, CNRS, LIRIS, Universit\u00e9 Lyon", "source_name": "INSA-Lyon, CNRS, LIRIS, Univ Lyon, Villeurbanne, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Thales Services, ThereSIS, Palaiseau, France", "source_name": "Thales Services, ThereSIS, Palaiseau, France", "street_adddress": "Route D\u00e9partementale, 91120 Palaiseau, France", "lat": "48.71472740", "lng": "2.20270890", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451628"]}, {"id": "b7bc6a2dfe99668457b67007400f5ab760386d0c", "title": "A Siamese inception architecture network for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0843-5"]}, {"id": "fcaa88dcb1a440ef09c4e5d724ed209bfc5d3367", "title": "PCGAN: Partition-Controlled Human Image Generation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.09928.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "413f4e770cd05fb382d8ceb4f33cd2726f34b9b3", "title": "Multi-person tracking by discriminative affinity model and hierarchical association", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322838"]}, {"id": "592bbab1e073908c75584879bc00911e7246aebf", "title": "Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/06/FG2017_presentation-Julio.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961756", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.133", "http://doi.org/10.1109/FG.2017.133"]}, {"id": "ea80a050d20c0e24e0625a92e5c03e5c8db3e786", "title": "Face Verification and Face Image Synthesis under Illumination Changes using Neural Networks by", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea80/a050d20c0e24e0625a92e5c03e5c8db3e786.pdf"], "doi": []}, {"id": "7ec16949adf6ea78054f6c6512f332a86960b91f", "title": "Computer Vision \u2013 ECCV 2016", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "RWTH Aachen, Aachen, Germany", "source_name": "RWTH Aachen, Aachen, Germany", "street_adddress": "Templergraben 55, 52062 Aachen, Germany", "lat": "50.78007780", "lng": "6.06568690", "type": "edu", "country": "Germany"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46475-6"]}, {"id": "6a03f9b4354cbe6bdb4c00eab3521a6463e563f7", "title": "PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8036238", "http://doi.org/10.1109/TMM.2017.2751966"]}, {"id": "2fad06ed34169a5b1f736112364c58140577a6b4", "title": "Pedestrian Color Naming via Convolutional Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2fad/06ed34169a5b1f736112364c58140577a6b4.pdf"], "doi": []}, {"id": "fac6b4562053853db517ff6511c6daff2e6a1a7b", "title": "Deep Low-Resolution Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fac6/b4562053853db517ff6511c6daff2e6a1a7b.pdf"], "doi": []}, {"id": "34b8e675d4651db45e484da34f3c415c60ef3ea2", "title": "DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01220.pdf"], "doi": []}, {"id": "3f69a9ef0f98a3936bc905e792cfe8a7d313b565", "title": "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08402.pdf"], "doi": []}, {"id": "160da454cc64c1117c3a164b9bf375d73fb81720", "title": "Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00370.pdf"], "doi": []}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "f5a00153cb49c2f66b072832adf053ebabf50850", "title": "Real-time pedestrian warning system on highway using deep learning methods", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266567", "http://doi.org/10.1109/ISPACS.2017.8266567"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "8cc1e76ffcc34b7afa8b7e3c5a2339cf88699868", "title": "Person re-identification by deep MAX pooling network", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302013", "http://doi.org/10.1109/CISP-BMEI.2017.8302013"]}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "631c4ca00eaa65b801c63d32c0f564e974009ddd", "title": "Self-attention Learning for Person Re-identification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/631c/4ca00eaa65b801c63d32c0f564e974009ddd.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "a65c3af3752866732fb2d1ccb3305ddf0fea91df", "title": "Deep Feature Embedding Learning for Person Re-Identification Using Lifted Structured Loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001957.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462118", "http://doi.org/10.1109/ICASSP.2018.8462118"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "34ca83537d5d5128dd80cd3c4cae3c45fa5f2263", "title": "Deep Supervised Hashing with Pairwise Bit Loss", "addresses": [{"name": "PLA University of Science & Technology", "source_name": "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3094257"]}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "7e186b41f5d2cfdf1940009e61d4e34a47b33c7c", "title": "Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wang_Orientation_Invariant_Feature_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237311", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.49", "http://doi.org/10.1109/ICCV.2017.49"]}, {"id": "0e85b9c05d6f6d190f7c0434e3356a8bfb97bdec", "title": "Person Re-Identification with Vision and Language", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545582"]}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "7969cc315bbafcd38a637eb8cd5d45ba897be319", "title": "An enhanced deep feature representation for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07807.pdf"], "doi": []}, {"id": "7abac083402d44a96769f9e68c8f6ad84ba80472", "title": "Beyond Eleven Color Names for Image Understanding", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0902-y"]}, {"id": "63d64d07966d4d128581246a891ff1d3dd3a2a96", "title": "Learning face similarity for re-identification from real surveillance video: A deep metric solution", "addresses": [{"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272704", "http://doi.org/10.1109/BTAS.2017.8272704"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "5e47ada58f5b7817acc46240f1090ba51dd0c637", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01264-9"]}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "title": "Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "addresses": [{"name": "University of California, Los Angeles", "source_name": "University of California, Los Angeles", "street_adddress": "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "lat": "34.06877880", "lng": "-118.44500940", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09882.pdf"], "doi": []}, {"id": "e23004116d85976ad0a2a4da69914a2c9d1ea5ab", "title": "Multi-part compact bilinear CNN for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296694", "http://doi.org/10.1109/ICIP.2017.8296694"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "d70d0bf360f4007c06407b7634c617979ac703b1", "title": "Person Re-Identification With A Joint Learning CNN Network And A New Global Loss Function", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551553"]}, {"id": "ec85c3f57594afa77a8b0e516035550ef6f79db4", "title": "Support Neighbor Loss for Person Re-Identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06030.pdf"], "doi": []}, {"id": "2fa4b37f91667970150481c37a1f4e294a49b7f0", "title": "Person Reidentification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing", "addresses": [{"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://graphvision.whu.edu.cn/papers/Ye_TMM_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7557057", "http://doi.org/10.1109/TMM.2016.2605058"]}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "c249f0aa1416c51bf82be5bb47cbeb8aac6dee35", "title": "Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04533.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "e6a8951063c3e87c7e8458faf9e5c4584c32cafd", "title": "A novel CNN-based match kernel for image retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532798", "http://doi.org/10.1109/ICIP.2016.7532798"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "779a74a12d73d5b72c156a50ff14f29fb8b09f0a", "title": "Graph Correspondence Transfer for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00242.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "952a8ef56f35376a52e4540d3df9e48f4077b09e", "title": "Deep feature embedding learning for person re-identification based on lifted structured loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6408-4"]}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "6b6207c49c7b41b171388fc2228304de148f0a96", "title": "Person Search by Multi-Scale Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08582.pdf"], "doi": []}, {"id": "2ff0f94f1a05fb4e6cb906f8b5aa59d50c9754be", "title": "Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11042.pdf"], "doi": []}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "f96525599a5abc069d2415950f6acd0ed37ab7d8", "title": "Convolutional neural network-based representation for person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495897", "http://doi.org/10.1109/SIU.2016.7495897"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "6b7e552ca66fd3235e99115d6f072061b9ada181", "title": "Extensive Comparison of Visual Features for Person Re-identification", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007741"]}, {"id": "c8c60abb7cef001213d951d041e5f03042de0df5", "title": "Person re-identification with deep dense feature representation and Joint Bayesian", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296945", "http://doi.org/10.1109/ICIP.2017.8296945"]}, {"id": "9244a113df66d8af944d988596710698bea8a76d", "title": "Deepagent: An Algorithm Integration Approach for Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451521"]}, {"id": "7965b2ce7d64991218515e20fc1fc0459fd20a38", "title": "Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11261.pdf"], "doi": []}, {"id": "5438e7c8151311d76ed7335051069c7c07113a12", "title": "Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Greenwich", "source_name": "University of Greenwich, London, United Kingdom", "street_adddress": "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "lat": "51.48293080", "lng": "-0.00699500", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965715", "http://doi.org/10.1109/SERA.2017.7965715"]}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "title": "P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025424", "http://doi.org/10.1109/TCSVT.2017.2748698"]}, {"id": "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "title": "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0991-0"]}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "0c69b1e916476bbdd8b1b38bbb1aa877709a0f28", "title": "Deep Siamese Network with Multi-level Similarity Perception for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University & Alibaba Group", "source_name": "Shanghai Jiao Tong University & Alibaba Group, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123452"]}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "a2fa23bb2720f1fe2131a485562658f1a8fd4ea0", "title": "Deep Siamese Network for Multiple Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547137"]}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "6843531814f19799c86af271b8643411360549e8", "title": "Person re-identification using salient region matching game", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5541-9"]}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "635efc8bddec1cf94b1ee4951e4d216331758422", "title": "Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00914.pdf"], "doi": []}, {"id": "5dae01134bf11b48f08fb1cad0163aee7d123ded", "title": "Light Person Re-Identification by Multi-Cue Tiny Net", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451738"]}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "76e48cd3b4b25cdb6c094ff660ed8e43be1e2f34", "title": "What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07074.pdf"], "doi": []}, {"id": "1ce69b2ab1821b7434c099c2c2d65a2cef878645", "title": "Semi-supervised Region Metric Learning for Person Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1075-5"]}, {"id": "d1d90bbc6bb4fdb0d928ff74bfd8671aaafa070e", "title": "Neural Person Search Machines", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06777.pdf"], "doi": []}, {"id": "52c141b9b7739dbacc93e3e661a15c84853d4094", "title": "A Multi-loss Deep Network Based on Pyramid Pooling for Person Re-identification", "addresses": [{"name": "Xi'an Jiantong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xi'an Jiantong University, Xi'an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "source_name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623067"]}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904", "title": "Dynamic locally connected layer for person re-identification", "addresses": [{"name": "ChongQing College of Electronic Engineering, Chongqing, China", "source_name": "ChongQing College of Electronic Engineering, Chongqing, China", "street_adddress": "Shapingba, Chongqing, China", "lat": "29.62636500", "lng": "106.32531700", "type": "edu", "country": "China"}, {"name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "source_name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "street_adddress": "11 Zhongshan 4th Rd, DaXiGou, Yuzhong Qu, Chongqing Shi, China, 400065", "lat": "29.56245900", "lng": "106.54645100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2033-2"]}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "02f94930219d2bb632d067ca2d31db61161ed5fb", "title": "Multi-Scale Triplet CNN for Person Re-Identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967209"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "b5184bd428b9a89255900dce50b4320741706744", "title": "Discovering Disentangled Representations with the F Statistic Loss", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b518/4bd428b9a89255900dce50b4320741706744.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "d56a262763c84d2bb21e9ea40f2517610f61d05f", "title": "Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "addresses": [{"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126708"]}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "51144f331aa9310e4fd9b4dab00e4baf6fba7ef3", "title": "Person re-identification using CNN features learned from combination of attributes", "addresses": [{"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://www.i.kyushu-u.ac.jp/~matsukawa/ReID_files/icpr2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900000", "http://doi.org/10.1109/ICPR.2016.7900000"]}, {"id": "359c2483195a3217095dcf8738abe47181a0fc94", "title": "Person Reidentification via Discrepancy Matrix and Matrix Metric", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://wangzwhu.github.io/home/slides-nj-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8059849", "http://doi.org/10.1109/TCYB.2017.2755044", "https://www.ncbi.nlm.nih.gov/pubmed/28991756"]}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "2dbff0b15221234e00bec4a00b4897c631904fcf", "title": "Learning Efficient Image Representation for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02319.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "title": "Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6409-3"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "ea00489323104d70dd43bac5e15390ec4d6dfe8f", "title": "Transfer for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea00/489323104d70dd43bac5e15390ec4d6dfe8f.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "a8540ff90bc1cf9eb54a2ba1ad4125e726d1980d", "title": "Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11610.pdf"], "doi": []}, {"id": "592e555ebe4bd2d821230e7074d7e9626af716b0", "title": "Open Set Adversarial Examples", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02681.pdf"], "doi": []}, {"id": "68621721705e3115355268450b4b447362e455c6", "title": "Disjoint Label Space Transfer Learning with Common Factorised Space", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.02605.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "d9912256502b9578cea7d149142832e0998d97ff", "title": "Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d991/2256502b9578cea7d149142832e0998d97ff.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "bd6b974bd9544c7f434752e42bc5b950fcaf71ff", "title": "A Progressive Vehicle Search System for Video Surveillance Networks", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499096"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "2d4c5768a65f05f96ae71a269422d0c3d371b26a", "title": "Semantics-Aware Deep Correspondence Structure Learning for Robust Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d4c/5768a65f05f96ae71a269422d0c3d371b26a.pdf"], "doi": []}, {"id": "3b3686f87f9a22db2bda99cb279c817e7f8a001b", "title": "Person re-identification method based on CNN and manually-selected feature fusion", "addresses": [{"name": "Guilin University of Electronic Technology Guangxi Guilin", "source_name": "Guilin University of Electronic Technology Guangxi Guilin", "street_adddress": "\u6842\u6797\u7535\u5b50\u79d1\u6280\u5927\u5b66\u91d1\u9e21\u5cad\u6821\u533a, 1\u53f7, \u91d1\u9e21\u8def, \u4e03\u661f\u533a, \u9ec4\u83ba\u5ca9\u6751, \u4e03\u661f\u533a, \u6842\u6797\u5e02, \u5e7f\u897f\u58ee\u65cf\u81ea\u6cbb\u533a, 541004, \u4e2d\u56fd", "lat": "25.28739920", "lng": "110.33242770", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393401", "http://doi.org/10.1109/FSKD.2017.8393401"]}, {"id": "110919f803740912e02bb7e1424373d325f558a9", "title": "Statistical Inference of Gaussian-Laplace Distribution for Person Verification", "addresses": [{"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123421"]}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "16e5d7b733086e0a7dbebc7218f80da53bd71646", "title": "Constraint patch matching for faster person re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947703", "http://doi.org/10.1109/ISBA.2017.7947703"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "a54d63c1a8c4db3c5034b1fdb08526459bb3c0b1", "title": "Multi-Gait Recognition Based on Attribute Discovery", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976333", "http://doi.org/10.1109/TPAMI.2017.2726061", "https://www.ncbi.nlm.nih.gov/pubmed/28708545", "https://www.wikidata.org/entity/Q48544223"]}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "33469aa1130c6bfb838fbb6216f5c42c483a2799", "title": "Pose Guided Person Image Generation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09368.pdf"], "doi": []}, {"id": "0d754504848d071936a5d603c8b3db0c48a3da6d", "title": "DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7502111", "http://doi.org/10.1109/TCSVT.2016.2586851"]}, {"id": "97585f0fc4e55fa849bae0d40a7a31a8f4dc76c6", "title": "Large-Scale Metric Learning: A Voyage From Shallow to Deep", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8098562", "http://doi.org/10.1109/TNNLS.2017.2761773", "https://doc-0k-70-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/eqpfdcdfeo07gk038u5cael6490vsc2v/1532808000000/15994626111015157098/*/0B9_PW9TCpxT0dm5VamRmSmp5bzQ?e=download", "https://www.ncbi.nlm.nih.gov/pubmed/29990173"]}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "a77619c8d36c444cae62e767b33b2a8c4e30d4ee", "title": "Efficient large scale near-duplicate video detection base on spark", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "State Post Bureau Safety Supervision Center, Beijing, 100091, China", "source_name": "State Post Bureau Safety Supervision Center, Beijing, 100091, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7840693", "http://doi.org/10.1109/BigData.2016.7840693"]}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "9b17f368d038a7d7e4304089c0270e81f0b4eb6c", "title": "Discriminative Structural Metric Learning for Person Reidentification in Visual Internet of Things", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8022862"]}, {"id": "a6bc69831dea3efc5804b8ab65cf5a06688ddae0", "title": "Crossing Generative Adversarial Networks for Cross-View Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01760.pdf"], "doi": []}, {"id": "5084cf08beb04ad91ef3c5649077255097d0c5d9", "title": "Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8249811", "http://doi.org/10.1109/ACCESS.2018.2790969"]}, {"id": "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "title": "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", "addresses": [{"name": "Cisco Systems, Inc., CA, USA", "source_name": "Cisco Systems, Inc., CA, USA", "street_adddress": "101 N Brand Blvd Suite 1700, Glendale, CA 91203, USA", "lat": "34.14683580", "lng": "-118.25544120", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243217"]}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "864fe713fd082585b67198ad7942a1568e536bd2", "title": "Group-Sensitive Triplet Embedding for Vehicle Reidentification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265213", "http://doi.org/10.1109/TMM.2018.2796240"]}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "b086e278c5ac61c024e89b302fec87b2aecf9281", "title": "Which Part is Better: Multi-Part Competition Network for person Re-Identification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545848"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "6f70e85442959079bfb67b925c660fe86cb4ba24", "title": "Person Re-Identification with Correspondence Structure Learning", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.06243.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "2f72cee2b9ae3d4271bda9f9bda1f11ad84ef616", "title": "End-to-End Detection and Re-identification Integrated Net for Person Search", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00376.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "ba32bcea914685f2dacc689b3d9dc070eceae684", "title": "Person Re-Identification by Weighted Integration of Sparse and Collaborative Representation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8070940", "http://doi.org/10.1109/ACCESS.2017.2757028"]}, {"id": "82485c89a6b48077b03b65a774fd5768ea768d4d", "title": "Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03112.pdf"], "doi": []}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "e9835bb131287d711e5e5435a5df8ce5302acb31", "title": "Person Re-identification by Unsupervised ` 1 Graph Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e983/5bb131287d711e5e5435a5df8ce5302acb31.pdf"], "doi": []}, {"id": "bffefd41cea42f4db45e8c98b0651f74a8aa90d6", "title": "Multi-Region bilinear convolutional neural networks for person re-identification", "addresses": [{"name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "source_name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "street_adddress": "Ulitsa Nobelya, 3, Moskva, Moscow Oblast, Russia, 121205", "lat": "55.68465660", "lng": "37.34075390", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078460", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078460", "http://doi.org/10.1109/AVSS.2017.8078460"]}, {"id": "454f403857e487d6a885180e0e0f7216a342fb0e", "title": "Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/454f/403857e487d6a885180e0e0f7216a342fb0e.pdf"], "doi": []}, {"id": "628aea69160e273ae3b3ae982deb11e9089d0336", "title": "Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.pkuml.org/wp-content/uploads/2013/07/2017_TIP_DFC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016659", "http://doi.org/10.1109/TIP.2017.2745203", "https://www.ncbi.nlm.nih.gov/pubmed/28858800", "https://www.wikidata.org/entity/Q38599921"]}, {"id": "aec7ba707a37446fbf39cec960951ded2d575267", "title": "Learning Multiple Kernel Metrics for Iterative Person Re-Identification", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234929"]}, {"id": "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "title": "A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00975.pdf"], "doi": []}, {"id": "1fbc81959c49d04e292ef4cfc68dd431105cdd83", "title": "Enhanced Deep Feature Representation for Person Search", "addresses": [{"name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "source_name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}, {"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-7305-2_28"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "3cbb4cf942ee95d14505c0f83a48ba224abdd00b", "title": "Hierarchical Cross Network for Person Re-identification", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.06820.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "61dfbdfe718aca026cafa06adc63055bd0fc562e", "title": "A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61df/bdfe718aca026cafa06adc63055bd0fc562e.pdf"], "doi": []}, {"id": "2e0b4fd1c7f49b88ea8ec40ace80f64f54a9215e", "title": "Multi-modal metric learning for vehicle re-identification in traffic surveillance environment", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296683", "http://doi.org/10.1109/ICIP.2017.8296683"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "b15cfd1e2f46a943328fa32fe0a571b8f7073b9f", "title": "Person Re-Identification by Deep Learning Muti-Part Information Complementary", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451645", "http://doi.org/10.1109/ICIP.2018.8451645"]}, {"id": "bdd3e33cb78965bcd15d69b7902c813b2ac864ff", "title": "GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123279"]}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "e7711b98384cf72a3ef26a51653083e41781a6bd", "title": "Dependence-Aware Feature Coding for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/21074/3/SPL2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286843", "http://doi.org/10.1109/LSP.2018.2803776"]}, {"id": "e9e04b36f88199a492db6ce7ffdb4e76dc7cc966", "title": "An Enhanced Deep Convolutional Neural Network for Person Re-Identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing", "source_name": "Academy of Broadcasting Science, Beijing", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551570"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "01b94ffeef22187587a9d3b9aeefa6377f85baa7", "title": "Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04239.pdf"], "doi": []}, {"id": "a34f8768b10d928aa4f4105afb971819c26a2219", "title": "Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485730"]}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "a089b7627f4661e68fbb2acc4a741b98e54f1f09", "title": "Knowledge Science, Engineering and Management", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "Universit\u00e0 di Trento, Povo, Italy", "source_name": "Universit\u00e0 di Trento, Povo, Italy", "street_adddress": "Via Sommarive, 14, 38123 Povo TN, Italy", "lat": "46.06559770", "lng": "11.15084150", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-99247-1"]}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01228-1"]}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "eb51b630b194f6161dadeca54b3d21330cde9ebd", "title": "Video Based Person Re-Identification by Re-Ranking Attentive Temporal Information in Deep Recurrent Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451594"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "d6126460b1a7034a39e5fdf3cc189dca3001c84a", "title": "VP-ReID: Vehicle and Person Re-Identification System", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206086"]}, {"id": "de3eadd9da762010066eab138cbea5fa3089a290", "title": "VRSDNet: vehicle re-identification with a shortly and densely connected convolutional neural network", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "First Research Institute of the Ministry of Public Security of People\u2019s Republic of China, Beijing, China", "source_name": "First Research Institute of the Ministry of Public Security of People\u2019s Republic of China, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6270-4"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "47f4dec5f733e933c8b9a8fdcda9419741f2bf62", "title": "Adversarial Metric Attack for Person Re-identification", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10650.pdf"], "doi": []}, {"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "a6e825aa233e0048d70a9a2c6a4ca9322331aef3", "title": "A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545514"]}, {"id": "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "title": "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "addresses": [{"name": "London, United Kingdom", "source_name": "London, United Kingdom", "street_adddress": "London, Greater London, England, SW1A 2DU, UK", "lat": "51.50732190", "lng": "-0.12764740", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7970176"]}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "944efd74c6fd812c6c495a11e7b045c9b778702e", "title": "RCAA: Relational Context-Aware Agents for Person Search", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/944e/fd74c6fd812c6c495a11e7b045c9b778702e.pdf"], "doi": []}, {"id": "9a81f46fcf8c6c0efbe34649552b5056ce419a3d", "title": "Deep person re-identification with improved embedding and efficient training", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03332.pdf"], "doi": []}, {"id": "311e4361ded641dc6f007595dc05f5c77055bdba", "title": "Cross-View Discriminative Feature Learning for Person Re-Identification", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}, {"name": "Research Division, Anyvision, Belfast, U.K.", "source_name": "Research Division, Anyvision, Belfast, U.K.", "street_adddress": "Belfast, UK", "lat": "54.59728500", "lng": "-5.93012000", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398470"]}, {"id": "d1ba33106567c880bf99daba2bd31fe88df4ecba", "title": "Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03160.pdf"], "doi": []}, {"id": "df527756b33d1c2722bd005b246f7df75ea0520a", "title": "Selective deep ensemble for instance retrieval", "addresses": [{"name": "Shenzhen University & Guangxi Key Laboratory of Cryptography and Information Security ", "source_name": "Shenzhen Key Laboratory of Media Security, Shenzhen University & Guangxi Key Laboratory of Cryptography and Information Security , Shenzhen and Guilin, China", "street_adddress": "3688 Nanhai Ave, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518060", "lat": "22.53306000", "lng": "113.93281300", "type": "edu", "country": "China"}, {"name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "source_name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "street_adddress": "China, Shanghai, Xuhui, \u5cb3\u9633\u8def76\u53f7", "lat": "31.20700600", "lng": "121.45196400", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5967-8"]}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "b54ed594267ead88b99bed3230e0453f54d00873", "title": "Human Recognition by Appearance and Gait", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768818040035"]}, {"id": "febff0f6faa8dde77848845e4b3e6f6c91180d33", "title": "Embedding Deep Metric for Person Re-identication A Study Against Large Variations", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00137.pdf"], "doi": []}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "adc95c86c5d5288b8d7d096ca2b77667826d985b", "title": "Self-Referenced Deep Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07598.pdf"], "doi": []}, {"id": "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "title": "Constrained Deep Metric Learning for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07545.pdf"], "doi": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "People\u2019s Public Security University of China", "source_name": "People\u2019s Public Security University of China, Beijing, China", "street_adddress": "Changping, Beijing, China, 102202", "lat": "40.12794800", "lng": "116.27810200", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8467369", "http://doi.org/10.1109/TIP.2018.2870946", "https://www.ncbi.nlm.nih.gov/pubmed/30235130"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "title": "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9c82/751e5bb63f54e9419703590ac9be86171de0.pdf"], "doi": []}, {"id": "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "title": "Attention-based Few-Shot Person Re-identification Using Meta Learning", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09613.pdf"], "doi": []}, {"id": "8520a3731e66304cac8981e97127211409b5089e", "title": "Robust Discriminative Subspace Learning for Person Reidentification", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540416"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "37eff004718e0d66a249310ab5108206d158d945", "title": "DeepDiff: Learning deep difference features on human body parts for person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://sites.nlsde.buaa.edu.cn/~shenghao/Download/publications/2017/4.DeepDiff%20Learning%20deep%20difference%20features%20on%20human%20body%20parts%20for%20person%20re-identification.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.02.055"]}, {"id": "1c8d585fb7e82abf43f45014494018a843774d2b", "title": "Consistent Iterative Multiview Transfer Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1c8d/585fb7e82abf43f45014494018a843774d2b.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "dataset": {"key": "market_1501", "name_short": "Market 1501", "name_display": "Market 1501", "name_full": "Market 1501 Dataset", "purpose": "Person re-identification", "comment": "cameras were placed in front of a campus supermarket", "funded_by": "", "license": "", "url": "http://www.liangzheng.org/Project/project_reid.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "N", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2015", "ongoing": "", "images": "32,668 ", "videos": "", "identities": "1,501 ", "img_per_person": "", "num_cameras": "6", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "128", "height": "64", "color": "Y", "gray": "", "tags": "fr, pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "Berit, images number was wrong", "derivative_of": ""}, "paper": {"paper_id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "key": "market_1501", "title": "Scalable Person Re-identification: A Benchmark", "year": "2015", "pdf": [], "address": "", "name": "Market 1501", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, "addresses": [], "additional_papers": [{"paper_id": "a7fe834a0af614ce6b50dc093132b031dd9a856b", "key": "market_1501", "title": "Orientation Driven Bag of Appearances for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02464.pdf"], "address": "", "name": "Market 1501", "doi": []}], "citations": [{"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "766209460c41d18ec357c6e1c8e79480b0c3c0f0", "title": "A Discriminatively Learning Model with Illumination Transfer for Inter-Camera Pedestrians Association", "addresses": [{"name": "Fuzhou University", "source_name": "Fuzhou University, Fuzhou, China", "street_adddress": "Xueyuan Rd, LiMing ShangQuan, Gulou Qu, Fuzhou Shi, Fujian Sheng, China, 350001", "lat": "26.08185050", "lng": "119.28650170", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3265673"]}, {"id": "29ce8c5df56424b9502984f5d263fbd30bc777a4", "title": "Similarity Learning with Listwise Ranking for Person Re-Identification", "addresses": [{"name": "INSA-Lyon, CNRS, LIRIS, Universit\u00e9 Lyon", "source_name": "INSA-Lyon, CNRS, LIRIS, Univ Lyon, Villeurbanne, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Thales Services, ThereSIS, Palaiseau, France", "source_name": "Thales Services, ThereSIS, Palaiseau, France", "street_adddress": "Route D\u00e9partementale, 91120 Palaiseau, France", "lat": "48.71472740", "lng": "2.20270890", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451628"]}, {"id": "b7bc6a2dfe99668457b67007400f5ab760386d0c", "title": "A Siamese inception architecture network for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0843-5"]}, {"id": "fcaa88dcb1a440ef09c4e5d724ed209bfc5d3367", "title": "PCGAN: Partition-Controlled Human Image Generation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.09928.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "413f4e770cd05fb382d8ceb4f33cd2726f34b9b3", "title": "Multi-person tracking by discriminative affinity model and hierarchical association", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322838"]}, {"id": "592bbab1e073908c75584879bc00911e7246aebf", "title": "Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/06/FG2017_presentation-Julio.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961756", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.133", "http://doi.org/10.1109/FG.2017.133"]}, {"id": "ea80a050d20c0e24e0625a92e5c03e5c8db3e786", "title": "Face Verification and Face Image Synthesis under Illumination Changes using Neural Networks by", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea80/a050d20c0e24e0625a92e5c03e5c8db3e786.pdf"], "doi": []}, {"id": "7ec16949adf6ea78054f6c6512f332a86960b91f", "title": "Computer Vision \u2013 ECCV 2016", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "RWTH Aachen, Aachen, Germany", "source_name": "RWTH Aachen, Aachen, Germany", "street_adddress": "Templergraben 55, 52062 Aachen, Germany", "lat": "50.78007780", "lng": "6.06568690", "type": "edu", "country": "Germany"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46475-6"]}, {"id": "6a03f9b4354cbe6bdb4c00eab3521a6463e563f7", "title": "PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8036238", "http://doi.org/10.1109/TMM.2017.2751966"]}, {"id": "2fad06ed34169a5b1f736112364c58140577a6b4", "title": "Pedestrian Color Naming via Convolutional Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2fad/06ed34169a5b1f736112364c58140577a6b4.pdf"], "doi": []}, {"id": "fac6b4562053853db517ff6511c6daff2e6a1a7b", "title": "Deep Low-Resolution Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fac6/b4562053853db517ff6511c6daff2e6a1a7b.pdf"], "doi": []}, {"id": "34b8e675d4651db45e484da34f3c415c60ef3ea2", "title": "DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01220.pdf"], "doi": []}, {"id": "3f69a9ef0f98a3936bc905e792cfe8a7d313b565", "title": "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08402.pdf"], "doi": []}, {"id": "160da454cc64c1117c3a164b9bf375d73fb81720", "title": "Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00370.pdf"], "doi": []}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "f5a00153cb49c2f66b072832adf053ebabf50850", "title": "Real-time pedestrian warning system on highway using deep learning methods", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266567", "http://doi.org/10.1109/ISPACS.2017.8266567"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "8cc1e76ffcc34b7afa8b7e3c5a2339cf88699868", "title": "Person re-identification by deep MAX pooling network", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302013", "http://doi.org/10.1109/CISP-BMEI.2017.8302013"]}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "631c4ca00eaa65b801c63d32c0f564e974009ddd", "title": "Self-attention Learning for Person Re-identification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/631c/4ca00eaa65b801c63d32c0f564e974009ddd.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "a65c3af3752866732fb2d1ccb3305ddf0fea91df", "title": "Deep Feature Embedding Learning for Person Re-Identification Using Lifted Structured Loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001957.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462118", "http://doi.org/10.1109/ICASSP.2018.8462118"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "34ca83537d5d5128dd80cd3c4cae3c45fa5f2263", "title": "Deep Supervised Hashing with Pairwise Bit Loss", "addresses": [{"name": "PLA University of Science & Technology", "source_name": "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3094257"]}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "7e186b41f5d2cfdf1940009e61d4e34a47b33c7c", "title": "Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wang_Orientation_Invariant_Feature_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237311", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.49", "http://doi.org/10.1109/ICCV.2017.49"]}, {"id": "0e85b9c05d6f6d190f7c0434e3356a8bfb97bdec", "title": "Person Re-Identification with Vision and Language", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545582"]}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "7969cc315bbafcd38a637eb8cd5d45ba897be319", "title": "An enhanced deep feature representation for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07807.pdf"], "doi": []}, {"id": "7abac083402d44a96769f9e68c8f6ad84ba80472", "title": "Beyond Eleven Color Names for Image Understanding", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0902-y"]}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "63d64d07966d4d128581246a891ff1d3dd3a2a96", "title": "Learning face similarity for re-identification from real surveillance video: A deep metric solution", "addresses": [{"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272704", "http://doi.org/10.1109/BTAS.2017.8272704"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "5e47ada58f5b7817acc46240f1090ba51dd0c637", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01264-9"]}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "title": "Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "addresses": [{"name": "University of California, Los Angeles", "source_name": "University of California, Los Angeles", "street_adddress": "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "lat": "34.06877880", "lng": "-118.44500940", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09882.pdf"], "doi": []}, {"id": "e23004116d85976ad0a2a4da69914a2c9d1ea5ab", "title": "Multi-part compact bilinear CNN for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296694", "http://doi.org/10.1109/ICIP.2017.8296694"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "d70d0bf360f4007c06407b7634c617979ac703b1", "title": "Person Re-Identification With A Joint Learning CNN Network And A New Global Loss Function", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551553"]}, {"id": "ec85c3f57594afa77a8b0e516035550ef6f79db4", "title": "Support Neighbor Loss for Person Re-Identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06030.pdf"], "doi": []}, {"id": "2fa4b37f91667970150481c37a1f4e294a49b7f0", "title": "Person Reidentification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing", "addresses": [{"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://graphvision.whu.edu.cn/papers/Ye_TMM_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7557057", "http://doi.org/10.1109/TMM.2016.2605058"]}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "c249f0aa1416c51bf82be5bb47cbeb8aac6dee35", "title": "Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04533.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "e6a8951063c3e87c7e8458faf9e5c4584c32cafd", "title": "A novel CNN-based match kernel for image retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532798", "http://doi.org/10.1109/ICIP.2016.7532798"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "779a74a12d73d5b72c156a50ff14f29fb8b09f0a", "title": "Graph Correspondence Transfer for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00242.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "952a8ef56f35376a52e4540d3df9e48f4077b09e", "title": "Deep feature embedding learning for person re-identification based on lifted structured loss", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6408-4"]}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "6b6207c49c7b41b171388fc2228304de148f0a96", "title": "Person Search by Multi-Scale Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08582.pdf"], "doi": []}, {"id": "2ff0f94f1a05fb4e6cb906f8b5aa59d50c9754be", "title": "Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11042.pdf"], "doi": []}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "f96525599a5abc069d2415950f6acd0ed37ab7d8", "title": "Convolutional neural network-based representation for person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495897", "http://doi.org/10.1109/SIU.2016.7495897"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "6b7e552ca66fd3235e99115d6f072061b9ada181", "title": "Extensive Comparison of Visual Features for Person Re-identification", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007741"]}, {"id": "c8c60abb7cef001213d951d041e5f03042de0df5", "title": "Person re-identification with deep dense feature representation and Joint Bayesian", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296945", "http://doi.org/10.1109/ICIP.2017.8296945"]}, {"id": "9244a113df66d8af944d988596710698bea8a76d", "title": "Deepagent: An Algorithm Integration Approach for Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451521"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "7965b2ce7d64991218515e20fc1fc0459fd20a38", "title": "Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11261.pdf"], "doi": []}, {"id": "5438e7c8151311d76ed7335051069c7c07113a12", "title": "Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Greenwich", "source_name": "University of Greenwich, London, United Kingdom", "street_adddress": "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "lat": "51.48293080", "lng": "-0.00699500", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965715", "http://doi.org/10.1109/SERA.2017.7965715"]}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "title": "P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025424", "http://doi.org/10.1109/TCSVT.2017.2748698"]}, {"id": "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "title": "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0991-0"]}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "0c69b1e916476bbdd8b1b38bbb1aa877709a0f28", "title": "Deep Siamese Network with Multi-level Similarity Perception for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University & Alibaba Group", "source_name": "Shanghai Jiao Tong University & Alibaba Group, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123452"]}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "a2fa23bb2720f1fe2131a485562658f1a8fd4ea0", "title": "Deep Siamese Network for Multiple Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547137"]}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "6843531814f19799c86af271b8643411360549e8", "title": "Person re-identification using salient region matching game", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5541-9"]}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "635efc8bddec1cf94b1ee4951e4d216331758422", "title": "Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00914.pdf"], "doi": []}, {"id": "5dae01134bf11b48f08fb1cad0163aee7d123ded", "title": "Light Person Re-Identification by Multi-Cue Tiny Net", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451738"]}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "76e48cd3b4b25cdb6c094ff660ed8e43be1e2f34", "title": "What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07074.pdf"], "doi": []}, {"id": "1ce69b2ab1821b7434c099c2c2d65a2cef878645", "title": "Semi-supervised Region Metric Learning for Person Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1075-5"]}, {"id": "d1d90bbc6bb4fdb0d928ff74bfd8671aaafa070e", "title": "Neural Person Search Machines", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06777.pdf"], "doi": []}, {"id": "52c141b9b7739dbacc93e3e661a15c84853d4094", "title": "A Multi-loss Deep Network Based on Pyramid Pooling for Person Re-identification", "addresses": [{"name": "Xi'an Jiantong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xi'an Jiantong University, Xi'an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "source_name": "Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623067"]}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904", "title": "Dynamic locally connected layer for person re-identification", "addresses": [{"name": "ChongQing College of Electronic Engineering, Chongqing, China", "source_name": "ChongQing College of Electronic Engineering, Chongqing, China", "street_adddress": "Shapingba, Chongqing, China", "lat": "29.62636500", "lng": "106.32531700", "type": "edu", "country": "China"}, {"name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "source_name": "ChongQing YuBei Experimental Primary School, Chongqing, China", "street_adddress": "11 Zhongshan 4th Rd, DaXiGou, Yuzhong Qu, Chongqing Shi, China, 400065", "lat": "29.56245900", "lng": "106.54645100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2033-2"]}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "02f94930219d2bb632d067ca2d31db61161ed5fb", "title": "Multi-Scale Triplet CNN for Person Re-Identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967209"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "b5184bd428b9a89255900dce50b4320741706744", "title": "Discovering Disentangled Representations with the F Statistic Loss", "addresses": [{"name": "University of Colorado, Boulder", "source_name": "University of Colorado, Boulder", "street_adddress": "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "lat": "40.01407945", "lng": "-105.26695944", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b518/4bd428b9a89255900dce50b4320741706744.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "d56a262763c84d2bb21e9ea40f2517610f61d05f", "title": "Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "addresses": [{"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126708"]}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "51144f331aa9310e4fd9b4dab00e4baf6fba7ef3", "title": "Person re-identification using CNN features learned from combination of attributes", "addresses": [{"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://www.i.kyushu-u.ac.jp/~matsukawa/ReID_files/icpr2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900000", "http://doi.org/10.1109/ICPR.2016.7900000"]}, {"id": "359c2483195a3217095dcf8738abe47181a0fc94", "title": "Person Reidentification via Discrepancy Matrix and Matrix Metric", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "source_name": "Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://wangzwhu.github.io/home/slides-nj-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8059849", "http://doi.org/10.1109/TCYB.2017.2755044", "https://www.ncbi.nlm.nih.gov/pubmed/28991756"]}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "2dbff0b15221234e00bec4a00b4897c631904fcf", "title": "Learning Efficient Image Representation for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02319.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "title": "Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6409-3"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "ea00489323104d70dd43bac5e15390ec4d6dfe8f", "title": "Transfer for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea00/489323104d70dd43bac5e15390ec4d6dfe8f.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "a8540ff90bc1cf9eb54a2ba1ad4125e726d1980d", "title": "Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11610.pdf"], "doi": []}, {"id": "592e555ebe4bd2d821230e7074d7e9626af716b0", "title": "Open Set Adversarial Examples", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02681.pdf"], "doi": []}, {"id": "68621721705e3115355268450b4b447362e455c6", "title": "Disjoint Label Space Transfer Learning with Common Factorised Space", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.02605.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "d9912256502b9578cea7d149142832e0998d97ff", "title": "Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d991/2256502b9578cea7d149142832e0998d97ff.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "bd6b974bd9544c7f434752e42bc5b950fcaf71ff", "title": "A Progressive Vehicle Search System for Video Surveillance Networks", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499096"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "2d4c5768a65f05f96ae71a269422d0c3d371b26a", "title": "Semantics-Aware Deep Correspondence Structure Learning for Robust Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d4c/5768a65f05f96ae71a269422d0c3d371b26a.pdf"], "doi": []}, {"id": "3b3686f87f9a22db2bda99cb279c817e7f8a001b", "title": "Person re-identification method based on CNN and manually-selected feature fusion", "addresses": [{"name": "Guilin University of Electronic Technology Guangxi Guilin", "source_name": "Guilin University of Electronic Technology Guangxi Guilin", "street_adddress": "\u6842\u6797\u7535\u5b50\u79d1\u6280\u5927\u5b66\u91d1\u9e21\u5cad\u6821\u533a, 1\u53f7, \u91d1\u9e21\u8def, \u4e03\u661f\u533a, \u9ec4\u83ba\u5ca9\u6751, \u4e03\u661f\u533a, \u6842\u6797\u5e02, \u5e7f\u897f\u58ee\u65cf\u81ea\u6cbb\u533a, 541004, \u4e2d\u56fd", "lat": "25.28739920", "lng": "110.33242770", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393401", "http://doi.org/10.1109/FSKD.2017.8393401"]}, {"id": "110919f803740912e02bb7e1424373d325f558a9", "title": "Statistical Inference of Gaussian-Laplace Distribution for Person Verification", "addresses": [{"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123421"]}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "16e5d7b733086e0a7dbebc7218f80da53bd71646", "title": "Constraint patch matching for faster person re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947703", "http://doi.org/10.1109/ISBA.2017.7947703"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "a54d63c1a8c4db3c5034b1fdb08526459bb3c0b1", "title": "Multi-Gait Recognition Based on Attribute Discovery", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976333", "http://doi.org/10.1109/TPAMI.2017.2726061", "https://www.ncbi.nlm.nih.gov/pubmed/28708545", "https://www.wikidata.org/entity/Q48544223"]}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "33469aa1130c6bfb838fbb6216f5c42c483a2799", "title": "Pose Guided Person Image Generation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09368.pdf"], "doi": []}, {"id": "0d754504848d071936a5d603c8b3db0c48a3da6d", "title": "DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7502111", "http://doi.org/10.1109/TCSVT.2016.2586851"]}, {"id": "97585f0fc4e55fa849bae0d40a7a31a8f4dc76c6", "title": "Large-Scale Metric Learning: A Voyage From Shallow to Deep", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8098562", "http://doi.org/10.1109/TNNLS.2017.2761773", "https://doc-0k-70-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/eqpfdcdfeo07gk038u5cael6490vsc2v/1532808000000/15994626111015157098/*/0B9_PW9TCpxT0dm5VamRmSmp5bzQ?e=download", "https://www.ncbi.nlm.nih.gov/pubmed/29990173"]}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "a77619c8d36c444cae62e767b33b2a8c4e30d4ee", "title": "Efficient large scale near-duplicate video detection base on spark", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "State Post Bureau Safety Supervision Center, Beijing, 100091, China", "source_name": "State Post Bureau Safety Supervision Center, Beijing, 100091, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7840693", "http://doi.org/10.1109/BigData.2016.7840693"]}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "9b17f368d038a7d7e4304089c0270e81f0b4eb6c", "title": "Discriminative Structural Metric Learning for Person Reidentification in Visual Internet of Things", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8022862"]}, {"id": "a6bc69831dea3efc5804b8ab65cf5a06688ddae0", "title": "Crossing Generative Adversarial Networks for Cross-View Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01760.pdf"], "doi": []}, {"id": "5084cf08beb04ad91ef3c5649077255097d0c5d9", "title": "Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8249811", "http://doi.org/10.1109/ACCESS.2018.2790969"]}, {"id": "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "title": "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", "addresses": [{"name": "Cisco Systems, Inc., CA, USA", "source_name": "Cisco Systems, Inc., CA, USA", "street_adddress": "101 N Brand Blvd Suite 1700, Glendale, CA 91203, USA", "lat": "34.14683580", "lng": "-118.25544120", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243217"]}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "864fe713fd082585b67198ad7942a1568e536bd2", "title": "Group-Sensitive Triplet Embedding for Vehicle Reidentification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265213", "http://doi.org/10.1109/TMM.2018.2796240"]}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "b086e278c5ac61c024e89b302fec87b2aecf9281", "title": "Which Part is Better: Multi-Part Competition Network for person Re-Identification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545848"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "6f70e85442959079bfb67b925c660fe86cb4ba24", "title": "Person Re-Identification with Correspondence Structure Learning", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.06243.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "2f72cee2b9ae3d4271bda9f9bda1f11ad84ef616", "title": "End-to-End Detection and Re-identification Integrated Net for Person Search", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00376.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "ba32bcea914685f2dacc689b3d9dc070eceae684", "title": "Person Re-Identification by Weighted Integration of Sparse and Collaborative Representation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8070940", "http://doi.org/10.1109/ACCESS.2017.2757028"]}, {"id": "82485c89a6b48077b03b65a774fd5768ea768d4d", "title": "Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03112.pdf"], "doi": []}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "e9835bb131287d711e5e5435a5df8ce5302acb31", "title": "Person Re-identification by Unsupervised ` 1 Graph Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e983/5bb131287d711e5e5435a5df8ce5302acb31.pdf"], "doi": []}, {"id": "bffefd41cea42f4db45e8c98b0651f74a8aa90d6", "title": "Multi-Region bilinear convolutional neural networks for person re-identification", "addresses": [{"name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "source_name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "street_adddress": "Ulitsa Nobelya, 3, Moskva, Moscow Oblast, Russia, 121205", "lat": "55.68465660", "lng": "37.34075390", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078460", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078460", "http://doi.org/10.1109/AVSS.2017.8078460"]}, {"id": "454f403857e487d6a885180e0e0f7216a342fb0e", "title": "Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/454f/403857e487d6a885180e0e0f7216a342fb0e.pdf"], "doi": []}, {"id": "628aea69160e273ae3b3ae982deb11e9089d0336", "title": "Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.pkuml.org/wp-content/uploads/2013/07/2017_TIP_DFC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016659", "http://doi.org/10.1109/TIP.2017.2745203", "https://www.ncbi.nlm.nih.gov/pubmed/28858800", "https://www.wikidata.org/entity/Q38599921"]}, {"id": "aec7ba707a37446fbf39cec960951ded2d575267", "title": "Learning Multiple Kernel Metrics for Iterative Person Re-Identification", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234929"]}, {"id": "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "title": "A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00975.pdf"], "doi": []}, {"id": "1fbc81959c49d04e292ef4cfc68dd431105cdd83", "title": "Enhanced Deep Feature Representation for Person Search", "addresses": [{"name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "source_name": "Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}, {"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-7305-2_28"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "3cbb4cf942ee95d14505c0f83a48ba224abdd00b", "title": "Hierarchical Cross Network for Person Re-identification", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.06820.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "61dfbdfe718aca026cafa06adc63055bd0fc562e", "title": "A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61df/bdfe718aca026cafa06adc63055bd0fc562e.pdf"], "doi": []}, {"id": "2e0b4fd1c7f49b88ea8ec40ace80f64f54a9215e", "title": "Multi-modal metric learning for vehicle re-identification in traffic surveillance environment", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296683", "http://doi.org/10.1109/ICIP.2017.8296683"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "b15cfd1e2f46a943328fa32fe0a571b8f7073b9f", "title": "Person Re-Identification by Deep Learning Muti-Part Information Complementary", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451645", "http://doi.org/10.1109/ICIP.2018.8451645"]}, {"id": "bdd3e33cb78965bcd15d69b7902c813b2ac864ff", "title": "GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123279"]}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "e7711b98384cf72a3ef26a51653083e41781a6bd", "title": "Dependence-Aware Feature Coding for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/21074/3/SPL2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286843", "http://doi.org/10.1109/LSP.2018.2803776"]}, {"id": "e9e04b36f88199a492db6ce7ffdb4e76dc7cc966", "title": "An Enhanced Deep Convolutional Neural Network for Person Re-Identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing", "source_name": "Academy of Broadcasting Science, Beijing", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551570"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "01b94ffeef22187587a9d3b9aeefa6377f85baa7", "title": "Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04239.pdf"], "doi": []}, {"id": "a34f8768b10d928aa4f4105afb971819c26a2219", "title": "Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485730"]}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "a089b7627f4661e68fbb2acc4a741b98e54f1f09", "title": "Knowledge Science, Engineering and Management", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "Universit\u00e0 di Trento, Povo, Italy", "source_name": "Universit\u00e0 di Trento, Povo, Italy", "street_adddress": "Via Sommarive, 14, 38123 Povo TN, Italy", "lat": "46.06559770", "lng": "11.15084150", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-99247-1"]}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01228-1"]}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "eb51b630b194f6161dadeca54b3d21330cde9ebd", "title": "Video Based Person Re-Identification by Re-Ranking Attentive Temporal Information in Deep Recurrent Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451594"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "d6126460b1a7034a39e5fdf3cc189dca3001c84a", "title": "VP-ReID: Vehicle and Person Re-Identification System", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206086"]}, {"id": "de3eadd9da762010066eab138cbea5fa3089a290", "title": "VRSDNet: vehicle re-identification with a shortly and densely connected convolutional neural network", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "First Research Institute of the Ministry of Public Security of People\u2019s Republic of China, Beijing, China", "source_name": "First Research Institute of the Ministry of Public Security of People\u2019s Republic of China, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6270-4"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "47f4dec5f733e933c8b9a8fdcda9419741f2bf62", "title": "Adversarial Metric Attack for Person Re-identification", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10650.pdf"], "doi": []}, {"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "a6e825aa233e0048d70a9a2c6a4ca9322331aef3", "title": "A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545514"]}, {"id": "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "title": "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "addresses": [{"name": "London, United Kingdom", "source_name": "London, United Kingdom", "street_adddress": "London, Greater London, England, SW1A 2DU, UK", "lat": "51.50732190", "lng": "-0.12764740", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7970176"]}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "944efd74c6fd812c6c495a11e7b045c9b778702e", "title": "RCAA: Relational Context-Aware Agents for Person Search", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/944e/fd74c6fd812c6c495a11e7b045c9b778702e.pdf"], "doi": []}, {"id": "9a81f46fcf8c6c0efbe34649552b5056ce419a3d", "title": "Deep person re-identification with improved embedding and efficient training", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03332.pdf"], "doi": []}, {"id": "311e4361ded641dc6f007595dc05f5c77055bdba", "title": "Cross-View Discriminative Feature Learning for Person Re-Identification", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}, {"name": "Research Division, Anyvision, Belfast, U.K.", "source_name": "Research Division, Anyvision, Belfast, U.K.", "street_adddress": "Belfast, UK", "lat": "54.59728500", "lng": "-5.93012000", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398470"]}, {"id": "d1ba33106567c880bf99daba2bd31fe88df4ecba", "title": "Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03160.pdf"], "doi": []}, {"id": "df527756b33d1c2722bd005b246f7df75ea0520a", "title": "Selective deep ensemble for instance retrieval", "addresses": [{"name": "Shenzhen University & Guangxi Key Laboratory of Cryptography and Information Security ", "source_name": "Shenzhen Key Laboratory of Media Security, Shenzhen University & Guangxi Key Laboratory of Cryptography and Information Security , Shenzhen and Guilin, China", "street_adddress": "3688 Nanhai Ave, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518060", "lat": "22.53306000", "lng": "113.93281300", "type": "edu", "country": "China"}, {"name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "source_name": "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "street_adddress": "China, Shanghai, Xuhui, \u5cb3\u9633\u8def76\u53f7", "lat": "31.20700600", "lng": "121.45196400", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5967-8"]}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "b54ed594267ead88b99bed3230e0453f54d00873", "title": "Human Recognition by Appearance and Gait", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768818040035"]}, {"id": "febff0f6faa8dde77848845e4b3e6f6c91180d33", "title": "Embedding Deep Metric for Person Re-identication A Study Against Large Variations", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00137.pdf"], "doi": []}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "adc95c86c5d5288b8d7d096ca2b77667826d985b", "title": "Self-Referenced Deep Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07598.pdf"], "doi": []}, {"id": "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "title": "Constrained Deep Metric Learning for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07545.pdf"], "doi": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "People\u2019s Public Security University of China", "source_name": "People\u2019s Public Security University of China, Beijing, China", "street_adddress": "Changping, Beijing, China, 102202", "lat": "40.12794800", "lng": "116.27810200", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8467369", "http://doi.org/10.1109/TIP.2018.2870946", "https://www.ncbi.nlm.nih.gov/pubmed/30235130"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "title": "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9c82/751e5bb63f54e9419703590ac9be86171de0.pdf"], "doi": []}, {"id": "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "title": "Attention-based Few-Shot Person Re-identification Using Meta Learning", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09613.pdf"], "doi": []}, {"id": "8520a3731e66304cac8981e97127211409b5089e", "title": "Robust Discriminative Subspace Learning for Person Reidentification", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540416"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "37eff004718e0d66a249310ab5108206d158d945", "title": "DeepDiff: Learning deep difference features on human body parts for person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://sites.nlsde.buaa.edu.cn/~shenghao/Download/publications/2017/4.DeepDiff%20Learning%20deep%20difference%20features%20on%20human%20body%20parts%20for%20person%20re-identification.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.02.055"]}, {"id": "1c8d585fb7e82abf43f45014494018a843774d2b", "title": "Consistent Iterative Multiview Transfer Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1c8d/585fb7e82abf43f45014494018a843774d2b.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/final/mars.json b/site/datasets/final/mars.json index bc315cff..589e8850 100644 --- a/site/datasets/final/mars.json +++ b/site/datasets/final/mars.json @@ -1 +1 @@ -{"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "dataset": {"key": "mars", "name_short": "MARS", "name_display": "MARS", "name_full": "Motion Analysis and Re-identification Set", "purpose": "Motion analysis and person re-identification", "comment": "MARS is an extension of the Market-1501 dataset [43]. During collection, we placed six near-synchronized cameras in the campus of Tsinghua university. There were Five 1,080*1920 HD cameras and one 640*480 SD camera. MARS consists of 1,261 different pedestrians whom are captured by at least 2 cameras.", "funded_by": "", "license": "", "url": "http://www.liangzheng.com.cn/Project/project_mars.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "N", "parent": "market_1501", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "1,191,003 ", "videos": "20,478 ", "identities": "1,261 ", "img_per_person": "", "num_cameras": "6", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "256", "height": "128", "color": "", "gray": "", "tags": "pr_id, fd, gait", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "Berit, bboxes != images", "derivative_of": ""}, "paper": {"paper_id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "key": "mars", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "address": "", "name": "MARS", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "14bfa18bc0a9eaf28732948813c764390c80acc4", "title": "Joint operator detection and tracking for person following from mobile platforms", "addresses": [{"name": "University of Koblenz-Landau", "source_name": "Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany", "street_adddress": "Rhabanusstra\u00dfe 3, 55118 Mainz, Germany", "lat": "50.00335000", "lng": "8.25958700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://www.uni-koblenz.de/~agas/Documents/Wojke2017JOD.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8009746", "http://doi.org/10.23919/ICIF.2017.8009746"]}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "title": "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240622"]}, {"id": "309a62afbe1ca7ac181452c5b3c50e2f860e7e65", "title": "Panic detection by regional velocity changes in crowded areas from surveillance video", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02862840", "lng": "28.89049070", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404383"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "774b649c75078e10759b3b6c8ea581e68fc45a40", "title": "Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2c8a/064665c280942ba717a46c590b4735a8fc1e.pdf"], "doi": []}, {"id": "9d5a6d12b39c6574fe284d779d2c23c2800bb283", "title": "Vehicle Re-Identification by Deep Hidden Multi-View Inference", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325486", "http://doi.org/10.1109/TIP.2018.2819820", "https://www.ncbi.nlm.nih.gov/pubmed/29641406"]}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "9125903bf7aa68920fdca8296f703b9013a877ed", "title": "Deep spatial pyramid for person re-identification", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170814145721/Deep-Spatial-Pyramid-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078492", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078492", "http://doi.org/10.1109/AVSS.2017.8078492"]}, {"id": "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "title": "Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "addresses": [{"name": "University of California, Los Angeles", "source_name": "University of California, Los Angeles", "street_adddress": "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "lat": "34.06877880", "lng": "-118.44500940", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09882.pdf"], "doi": []}, {"id": "3149e6206484104959bcd112abb4e448fc35e311", "title": "A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240879"]}, {"id": "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "title": "Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1afd/c0b42d25df25a7cd4b304493e9b521c84f0f.pdf"], "doi": []}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "5e47ada58f5b7817acc46240f1090ba51dd0c637", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01264-9"]}, {"id": "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "title": "Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05799.pdf"], "doi": []}, {"id": "944efd74c6fd812c6c495a11e7b045c9b778702e", "title": "RCAA: Relational Context-Aware Agents for Person Search", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/944e/fd74c6fd812c6c495a11e7b045c9b778702e.pdf"], "doi": []}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "436e40bfb2b5f8ba771812b7299669e677ecb29b", "title": "Dense 3D-Convolutional Neural Network for Person Re-Identification in Videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3231741"]}, {"id": "8520a3731e66304cac8981e97127211409b5089e", "title": "Robust Discriminative Subspace Learning for Person Reidentification", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540416"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "52a152b985b298be4b382d0b6045e31f43850c6f", "title": "Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00553.pdf"], "doi": []}, {"id": "53baabad70915a852477c2191b8bdb005b8cc4a5", "title": "Temporal-Enhanced Convolutional Network for Person Re-Identification", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53ba/abad70915a852477c2191b8bdb005b8cc4a5.pdf"], "doi": []}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "5348367971754f6b63bd0c595fc3e331eed8950d", "title": "GM-PHD Filter Based Online Multiple Human Tracking Using Deep Discriminative Correlation Matching", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0004299.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461946", "http://doi.org/10.1109/ICASSP.2018.8461946"]}, {"id": "5084cf08beb04ad91ef3c5649077255097d0c5d9", "title": "Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8249811", "http://doi.org/10.1109/ACCESS.2018.2790969"]}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "title": "Dynamic Label Graph Matching for Unsupervised Video Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09297.pdf"], "doi": []}, {"id": "97527b3c58591926800e3586e13d99a8cf5b17ff", "title": "Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Technology, Princeton, NJ, USA", "source_name": "Siemens Corporate Technology, Princeton, NJ, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-tcsvt17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7994636", "http://doi.org/10.1109/TCSVT.2017.2732822"]}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "title": "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9c82/751e5bb63f54e9419703590ac9be86171de0.pdf"], "doi": []}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "92dbaaabb91d14ec71843970c604303680c26695", "title": "Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296253", "http://doi.org/10.1109/ICIP.2017.8296253"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "d56a262763c84d2bb21e9ea40f2517610f61d05f", "title": "Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "addresses": [{"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126708"]}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "5fb23b55de1c613517f55a1b878bc68bd4b543e3", "title": "Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01119.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "19ae769aa067b5bd781882cd18551f7abe01bcf1", "title": "Data Generation for Improving Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123302"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "9f1b39e8d157b74181c666e85e5d55550d762409", "title": "Three-Stream Convolutional Networks for Video-based Person Re-Identification", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01652.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01228-1"]}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "6aeadade814902ddb9d7fd0e1d2d64a70f0e3ff9", "title": "Learning Affective Features With a Hybrid Deep Model for Audio\u2013Visual Emotion Recognition", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956190", "http://doi.org/10.1109/TCSVT.2017.2719043"]}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "700bafb57112febd5d5712f474b0ecc39379320c", "title": "Deep Deformable Patch Metric Learning for Person Re-Identification", "addresses": [{"name": "Disney Research, Pittsburgh, PA, USA", "source_name": "Disney Research, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20171103171212/Deep-Deformable-Patch-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076890", "http://doi.org/10.1109/TCSVT.2017.2765242"]}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "title": "P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025424", "http://doi.org/10.1109/TCSVT.2017.2748698"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "242e19b95f1cf77a74f1a99a899a8dc7d34f7c10", "title": "Multi-scale 3D Convolution Network for Video Based Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.07468.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "43edcd7968be3abd25f8ec44ab6d6182b7277afd", "title": "Spatial Quality Aware Network for Video-Based Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_4"]}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "dataset": {"key": "mars", "name_short": "MARS", "name_display": "MARS", "name_full": "Motion Analysis and Re-identification Set", "purpose": "Motion analysis and person re-identification", "comment": "MARS is an extension of the Market-1501 dataset [43]. During collection, we placed six near-synchronized cameras in the campus of Tsinghua university. There were Five 1,080*1920 HD cameras and one 640*480 SD camera. MARS consists of 1,261 different pedestrians whom are captured by at least 2 cameras.", "funded_by": "", "license": "", "url": "http://www.liangzheng.com.cn/Project/project_mars.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "N", "parent": "market_1501", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "1,191,003 ", "videos": "20,478 ", "identities": "1,261 ", "img_per_person": "", "num_cameras": "6", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "256", "height": "128", "color": "", "gray": "", "tags": "pr_id, fd, gait", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "Berit, bboxes != images", "derivative_of": ""}, "paper": {"paper_id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "key": "mars", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "address": "", "name": "MARS", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "14bfa18bc0a9eaf28732948813c764390c80acc4", "title": "Joint operator detection and tracking for person following from mobile platforms", "addresses": [{"name": "University of Koblenz-Landau", "source_name": "Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany", "street_adddress": "Rhabanusstra\u00dfe 3, 55118 Mainz, Germany", "lat": "50.00335000", "lng": "8.25958700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://www.uni-koblenz.de/~agas/Documents/Wojke2017JOD.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8009746", "http://doi.org/10.23919/ICIF.2017.8009746"]}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "title": "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240622"]}, {"id": "309a62afbe1ca7ac181452c5b3c50e2f860e7e65", "title": "Panic detection by regional velocity changes in crowded areas from surveillance video", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02862840", "lng": "28.89049070", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404383"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "774b649c75078e10759b3b6c8ea581e68fc45a40", "title": "Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2c8a/064665c280942ba717a46c590b4735a8fc1e.pdf"], "doi": []}, {"id": "9d5a6d12b39c6574fe284d779d2c23c2800bb283", "title": "Vehicle Re-Identification by Deep Hidden Multi-View Inference", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325486", "http://doi.org/10.1109/TIP.2018.2819820", "https://www.ncbi.nlm.nih.gov/pubmed/29641406"]}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "9125903bf7aa68920fdca8296f703b9013a877ed", "title": "Deep spatial pyramid for person re-identification", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170814145721/Deep-Spatial-Pyramid-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078492", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078492", "http://doi.org/10.1109/AVSS.2017.8078492"]}, {"id": "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "title": "Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "addresses": [{"name": "University of California, Los Angeles", "source_name": "University of California, Los Angeles", "street_adddress": "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "lat": "34.06877880", "lng": "-118.44500940", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09882.pdf"], "doi": []}, {"id": "3149e6206484104959bcd112abb4e448fc35e311", "title": "A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240879"]}, {"id": "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "title": "Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1afd/c0b42d25df25a7cd4b304493e9b521c84f0f.pdf"], "doi": []}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "5e47ada58f5b7817acc46240f1090ba51dd0c637", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01264-9"]}, {"id": "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "title": "Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05799.pdf"], "doi": []}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "944efd74c6fd812c6c495a11e7b045c9b778702e", "title": "RCAA: Relational Context-Aware Agents for Person Search", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/944e/fd74c6fd812c6c495a11e7b045c9b778702e.pdf"], "doi": []}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "436e40bfb2b5f8ba771812b7299669e677ecb29b", "title": "Dense 3D-Convolutional Neural Network for Person Re-Identification in Videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3231741"]}, {"id": "8520a3731e66304cac8981e97127211409b5089e", "title": "Robust Discriminative Subspace Learning for Person Reidentification", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540416"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "52a152b985b298be4b382d0b6045e31f43850c6f", "title": "Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00553.pdf"], "doi": []}, {"id": "53baabad70915a852477c2191b8bdb005b8cc4a5", "title": "Temporal-Enhanced Convolutional Network for Person Re-Identification", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53ba/abad70915a852477c2191b8bdb005b8cc4a5.pdf"], "doi": []}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "5348367971754f6b63bd0c595fc3e331eed8950d", "title": "GM-PHD Filter Based Online Multiple Human Tracking Using Deep Discriminative Correlation Matching", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0004299.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461946", "http://doi.org/10.1109/ICASSP.2018.8461946"]}, {"id": "5084cf08beb04ad91ef3c5649077255097d0c5d9", "title": "Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8249811", "http://doi.org/10.1109/ACCESS.2018.2790969"]}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "title": "Dynamic Label Graph Matching for Unsupervised Video Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09297.pdf"], "doi": []}, {"id": "97527b3c58591926800e3586e13d99a8cf5b17ff", "title": "Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Technology, Princeton, NJ, USA", "source_name": "Siemens Corporate Technology, Princeton, NJ, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-tcsvt17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7994636", "http://doi.org/10.1109/TCSVT.2017.2732822"]}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "title": "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9c82/751e5bb63f54e9419703590ac9be86171de0.pdf"], "doi": []}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "92dbaaabb91d14ec71843970c604303680c26695", "title": "Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296253", "http://doi.org/10.1109/ICIP.2017.8296253"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "d56a262763c84d2bb21e9ea40f2517610f61d05f", "title": "Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "addresses": [{"name": "Zhejiang University & Alibaba Group", "source_name": "Zhejiang University & Alibaba Group, Hangzhou, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126708"]}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "5fb23b55de1c613517f55a1b878bc68bd4b543e3", "title": "Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01119.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "19ae769aa067b5bd781882cd18551f7abe01bcf1", "title": "Data Generation for Improving Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123302"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "9f1b39e8d157b74181c666e85e5d55550d762409", "title": "Three-Stream Convolutional Networks for Video-based Person Re-Identification", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01652.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "title": "Computer Vision \u2013 ECCV 2018", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-01228-1"]}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "6aeadade814902ddb9d7fd0e1d2d64a70f0e3ff9", "title": "Learning Affective Features With a Hybrid Deep Model for Audio\u2013Visual Emotion Recognition", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956190", "http://doi.org/10.1109/TCSVT.2017.2719043"]}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "700bafb57112febd5d5712f474b0ecc39379320c", "title": "Deep Deformable Patch Metric Learning for Person Re-Identification", "addresses": [{"name": "Disney Research, Pittsburgh, PA, USA", "source_name": "Disney Research, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20171103171212/Deep-Deformable-Patch-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076890", "http://doi.org/10.1109/TCSVT.2017.2765242"]}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "title": "P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025424", "http://doi.org/10.1109/TCSVT.2017.2748698"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "242e19b95f1cf77a74f1a99a899a8dc7d34f7c10", "title": "Multi-scale 3D Convolution Network for Video Based Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.07468.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "43edcd7968be3abd25f8ec44ab6d6182b7277afd", "title": "Spatial Quality Aware Network for Video-Based Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_4"]}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/final/mot.json b/site/datasets/final/mot.json index 0db19c5f..33f8cc75 100644 --- a/site/datasets/final/mot.json +++ b/site/datasets/final/mot.json @@ -1 +1 @@ -{"id": "2258e01865367018ed6f4262c880df85b94959f8", "dataset": {"key": "mot", "name_short": "MOT", "name_display": "MOT", "name_full": "Multiple Object Tracking Benchmark", "purpose": "pedestrian and object tracking", "comment": "This data is for MOT15 (there is also MOT17). data composed of 22 sequences of 10mn each. 6 new sequences (?) are captured with 2 cameras: one static, one moving. imgs taken from mot Challenge Results 17 webpage (see screenshot in nextcloud)", "funded_by": "", "license": "", "url": "https://motchallenge.net/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "", "cyberspace": "", "parent": "", "source": "cam_out", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2017", "ongoing": "Y", "images": "17,757 ", "videos": "21 ", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "track, ped_detect", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": ""}, "paper": {"paper_id": "2258e01865367018ed6f4262c880df85b94959f8", "key": "mot", "title": "Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics", "year": "2008", "pdf": ["https://cvhci.anthropomatik.kit.edu/images/stories/msmmi/papers/eurasip2008.pdf"], "address": "", "name": "MOT", "doi": ["https://doi.org/10.1155/2008%2F246309", "https://doi.org/10.1155/2008/246309"]}, "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "additional_papers": [{"paper_id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "key": "mot", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "name": "MOT", "doi": []}, {"paper_id": "5981e6479c3fd4e31644db35d236bfb84ae46514", "key": "mot", "title": "Learning to associate: HybridBoosted multi-target tracker for crowded scene", "year": "2009", "pdf": [], "address": {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, "name": "MOT", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5206735"]}], "citations": [{"id": "ed432ecd59021a96d8995269a34678c4c2774507", "title": "End-to-end Learning of Multi-sensor 3D Tracking by Detection", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11534.pdf"], "doi": []}, {"id": "2701bd6850dc1b811ef7697cc1cd19405b99f990", "title": "Privacy Preserving Multi-target Tracking", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/35b0/36b8cdb05cb8f5a348296469555894d41771.pdf"], "doi": []}, {"id": "e9336cd4c63139c481c2ed9624b04f5b9a477d80", "title": "Dynamic objects detection and tracking for a laser scanner and camera system", "addresses": [{"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324442", "http://doi.org/10.1109/ROBIO.2017.8324442"]}, {"id": "e27677a88e40d65cc28e4c8ecb35388467ec3cf8", "title": "Collaborative Tracking for Multiple Objects in the Presence of Inter-Occlusions", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047768"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "fd9b86fb36a0b48e4eca0d73f8c3c683fdaf6231", "title": "Super-High-Purity Seed Sorter Using Low-Latency Image-Recognition Based on Deep Learning", "addresses": [{"name": "Pohang University of Science and Technology", "source_name": "Pohang University of Science and Technology", "street_adddress": "\ud3ec\uc2a4\ud14d, 77, \uccad\uc554\ub85c, \ud6a8\uace1\ub3d9, \ub0a8\uad6c, \ud3ec\ud56d\uc2dc, \uacbd\ubd81, 37673, \ub300\ud55c\ubbfc\uad6d", "lat": "36.01773095", "lng": "129.32107509", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8391727"]}, {"id": "5f2a3fe58974a4e60dde5cbee46a64718ac5c179", "title": "Joint Headlight Pairing and Vehicle Tracking by Weighted Set Packing in Nighttime Traffic Videos", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.dabi.temple.edu/~hbling/publication/Joint_pair-tracking-final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8057590", "http://doi.org/10.1109/TITS.2017.2745683"]}, {"id": "8db60e5196657c4f6188ffee3d2a48d188014f6d", "title": "Realtime multi-aircraft tracking in aerial scene with deep orientation network", "addresses": [{"name": "Military Technical College, Cairo, Egypt", "source_name": "Military Technical College, Cairo, Egypt", "street_adddress": "Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.08042180", "lng": "31.29625750", "type": "mil", "country": "Egypt"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0780-1"]}, {"id": "d5aa657e0e34dac4fcff484496b0e17d5ae0f52e", "title": "Globality\u2013Locality-Based Consistent Discriminant Feature Ensemble for Multicamera Tracking", "addresses": [{"name": "INRIA Sophia Antipolis M\u00e9diterran\u00e9e, Sophia Antipolis, France", "source_name": "INRIA Sophia Antipolis M\u00e9diterran\u00e9e, Sophia Antipolis, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583719", "http://doi.org/10.1109/TCSVT.2016.2615538"]}, {"id": "fcceea054cb59f1409dda181198ed4070ed762c9", "title": "Multiple face tracking method in the wild using color histogram features", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8388318", "http://doi.ieeecomputersociety.org/10.1109/ISSPIT.2017.8388318", "http://doi.org/10.1109/ISSPIT.2017.8388318"]}, {"id": "4820e34baf57e7b3d8d70df915c1710e6e93d631", "title": "A real-time multi-class multi-object tracker using YOLOv2", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Poongsan Defense R&D Institute", "source_name": "Poongsan Defense R&D Institute", "street_adddress": "266 Techno 2-ro, Gwanpyeong-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.41841040", "lng": "127.41058600", "type": "mil", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8120665", "http://doi.org/10.1109/ICSIPA.2017.8120665"]}, {"id": "d5f1e21f71874874fd4122899a83aeae58367c5e", "title": "Robots delivering services to moving people: Individual vs. group patrolling strategies", "addresses": [{"name": "CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France", "source_name": "CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France", "street_adddress": "B\u00e2timent Hubert Curien, Domaine Scientifique de la Doua, 43 Boulevard du 11 Novembre 1918, 69100 Villeurbanne, France", "lat": "45.78385330", "lng": "4.86901190", "type": "edu", "country": "France"}, {"name": "INSA de Lyon - Universit\u00e9 de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France", "source_name": "INSA de Lyon - Universit\u00e9 de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France", "street_adddress": "1st floor, 6 Avenue des Arts, 69621 Villeurbanne, France", "lat": "45.78379620", "lng": "4.87268940", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428216", "http://doi.org/10.1109/ARSO.2015.7428216"]}, {"id": "8f3786e2064a103472ec227a03759bb5056aaffc", "title": "Multiple object tracking based on modified algorithm of GMMCP tracker", "addresses": [{"name": "National University of Defense", "source_name": "College of Machatronics Engineering, National University of Defense, Chang Sha, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888214"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "241d2c517dbc0e22d7b8698e06ace67de5f26fdf", "title": "Online, Real-Time Tracking Using a Category-to-Individual Detector", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/47563/1/ECCV2014_HALL.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890361.pdf", "http://www.vision.caltech.edu/~dhall/projects/CIT/Data/ECCV2014_HALL.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10590-1_24"]}, {"id": "2bfd2add86071064bcf3795dbb57bdb1643ce2c4", "title": "3D Person Tracking In World Coordinates and Attribute Estimation with PDR", "addresses": [{"name": "KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan", "source_name": "KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan", "street_adddress": "2 Chome-1-15 Ohara, Fujimino, Saitama Prefecture 356-0003, Japan", "lat": "35.87922290", "lng": "139.51765570", "type": "company", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806301"]}, {"id": "e604e8a2a639df10704e3f97fc93332589b8c160", "title": "Tracking of multiple planar projection boards for interactive mixed-reality applications", "addresses": [{"name": "Foundation for Research and Technology Hellas, Greece", "source_name": "Foundation for Research and Technology - Hellas (FORTH), Institute of Computer Science, Heraklion, Greece", "street_adddress": "Heraklion, Greece", "lat": "35.33873520", "lng": "25.14421260", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5313-6"]}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "11a6af9b32a93c4053dc12f70afac64a4138b2d1", "title": "Multi-hypothesis motion planning for visual object tracking", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2011", "pdf": ["http://www.cis.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning-poster.pdf", "http://www.cis.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning.pdf", "http://www.seas.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning-poster.pdf", "http://www.seas.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning-talk.pdf", "http://www.seas.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126296", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126296", "http://doi.org/10.1109/ICCV.2011.6126296", "http://repository.upenn.edu/cgi/viewcontent.cgi?article=1567&context=cis_papers"]}, {"id": "7c9f884137a22c3bb5cefcd7dfc55e3a83979771", "title": "Person tracking-by-detection with efficient selection of part-detectors", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["https://cvhci.anthropomatik.kit.edu/download/publications/Schumann2013.pdf", "https://cvhci.anthropomatik.kit.edu/~baeuml/downloads/Schumann2013.pdf", "https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636614.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636614", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636614", "http://doi.org/10.1109/AVSS.2013.6636614"]}, {"id": "e281a0f632f5dee3697578d8ddf69da92c9410ab", "title": "GbLN-PSO and Model-Based Particle Filter Approach for Tracking Human Movements in Large View Cases", "addresses": [{"name": "Universiti Malaysia Pahang, Kuantan, Malaysia", "source_name": "Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia", "street_adddress": "UMP FSKKP, Lebuhraya Tun Razak, Kampung Melayu Gambang, 26300 Gambang, Pahang, Malaysia", "lat": "3.72092440", "lng": "103.12496790", "type": "edu", "country": "Malaysia"}, {"name": "Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia", "source_name": "Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia", "street_adddress": "Lebuhraya Tun Razak, Pahang, 26300 Kuantan, Malaysia", "lat": "3.72114300", "lng": "103.12451610", "type": "edu", "country": "Malaysia"}, {"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7108014", "http://doi.org/10.1109/TCSVT.2015.2433172"]}, {"id": "220f6ef6f4bf4729871822e08080142359012e10", "title": "IMPLEMENTATION OF AUTOMATIC MULTIPLE PERSON TRACKING SYSTEM WITH OPEN CV ON BEAGLE BOARD", "addresses": [{"name": "Anna University", "source_name": "Anna University", "street_adddress": "Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India", "lat": "13.01058380", "lng": "80.23537360", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/220f/6ef6f4bf4729871822e08080142359012e10.pdf"], "doi": []}, {"id": "f5adb841e30eb635b91e95c03575f3b8767c9ed5", "title": "Learning Optimal Parameters For Multi-target Tracking", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f5ad/b841e30eb635b91e95c03575f3b8767c9ed5.pdf"], "doi": []}, {"id": "a6c40d0fb4c0420d1d974f9fbfae83da514ebfbe", "title": "Individual and group tracking with the evaluation of social interactions", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a6c4/0d0fb4c0420d1d974f9fbfae83da514ebfbe.pdf"], "doi": []}, {"id": "812e06a4cee26629e198a0a6d991616933ab14d8", "title": "Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09646.pdf"], "doi": []}, {"id": "9d6c04aa6eb0c3d7dce7e5717a16b56f86ffea48", "title": "Visual multi-object tracking via bi-level association strategy within Air-Traffic-Control surveillance videos", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486370"]}, {"id": "59778de271938df6de938deac17fd614f4640ac5", "title": "Cleaning up after a face tracker: False positive removal", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": ["http://www.cs.toronto.edu/~makarand/papers/ICIP2014.pdf", "http://www.cs.toronto.edu/~makarand/papers/posters/ICIP2014.pdf", "https://cvhci.anthropomatik.kit.edu/~mtapaswi/papers/ICIP2014.pdf", "https://cvhci.anthropomatik.kit.edu/~mtapaswi/papers/posters/ICIP2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025050", "http://doi.org/10.1109/ICIP.2014.7025050"]}, {"id": "95e999c08a9cec339a7e53aa645d32279f9a550e", "title": "Detection and Tracking of General Movable Objects in Large Three-Dimensional Maps", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8542753"]}, {"id": "2da0f99ae90ea3e6ccbd3f43e52dbf5aa1553363", "title": "To Track or To Detect? An Ensemble Framework for Optimal Selection", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2da0/f99ae90ea3e6ccbd3f43e52dbf5aa1553363.pdf"], "doi": []}, {"id": "46a93d3bb2a2abea38e432a9a125d225d729f0e4", "title": "A graph-based MAP solution for multi-person tracking using multi-camera systems", "addresses": [{"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://herakles.inf-cv.uni-jena.de/biborb/bibs/cv/papers/Jiang14:AGM.pdf", "http://www.scitepress.org/Papers/2014/46901/46901.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295103", "http://doi.org/10.5220/0004690103430350"]}, {"id": "b40856b30023d469810aacfb48e1c502804e8b7b", "title": "Toward identifying behavioral risk markers for mental health disorders: an assistive system for monitoring children\u2019s movements in a preschool classroom", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0926-y"]}, {"id": "5ffaa04d15fd159c420cc10fddf15ae39a6db865", "title": "Semi-Online Multiple Object Tracking Using Graphical Tracklet Association", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8474304", "http://doi.org/10.1109/LSP.2018.2872403"]}, {"id": "fd68662e0fe3412d47ca07d33246212d4ecfe590", "title": "Efficient track linking methods for track graphs using network-flow and set-cover techniques", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/CVPR2011.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuKunzBetke-CVPR2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995515", "http://doi.org/10.1109/CVPR.2011.5995515"]}, {"id": "f4cf8e1ec82d186303fa8c9e22ed0ff68b55496d", "title": "Multiple people tracking from 2D depth data by deterministic spatiotemporal data association", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": ["http://www.ais.uni-bonn.de/~koosy/publication/koo2013imft.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6628423", "http://doi.org/10.1109/ROMAN.2013.6628423"]}, {"id": "27b630b8d189cc9d6315cdb031573184e7c875b3", "title": "Scene-Adaptive Hierarchical Data Association for Multiple Objects Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778746", "http://doi.org/10.1109/LSP.2014.2313853"]}, {"id": "8628cb21f0ba3c270d731646b350a059204d26a4", "title": "Wide-area Multi-camera Multi-object Tracking with Dynamic Task Decomposition", "addresses": [{"name": "Fondazione Bruno Kessler, Trento, Italy", "source_name": "Fondazione Bruno Kessler, Trento, Italy", "street_adddress": "Via Santa Croce, 77, 38122 Trento TN, Italy", "lat": "46.06273420", "lng": "11.12441070", "type": "edu", "country": "Italy"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659033"]}, {"id": "056d5d942084428e97c374bb188efc386791e36d", "title": "Temporally Robust Global Motion Compensation by Keypoint-based Congealing", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.03968.pdf"], "doi": []}, {"id": "d9bda208addf00a55df23821f6d4abdb85e73599", "title": "Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d9bd/a208addf00a55df23821f6d4abdb85e73599.pdf"], "doi": []}, {"id": "444c99362e81925c1e710eb901e8f3b4659e6a42", "title": "Automated Non-Invasive Measurement of Sperm Motility and Morphology Parameters", "addresses": [{"name": "CReATe Fertility Centre, Toronto, Canada", "source_name": "CReATe Fertility Centre, Toronto, Canada", "street_adddress": "790 Bay St #1100, Toronto, ON M5G 1N8, Canada", "lat": "43.66047100", "lng": "-79.38618970", "type": "company", "country": "Canada"}, {"name": "Mount Sinai Hospital, Toronto, Canada", "source_name": "Mount Sinai Hospital, Toronto, Canada", "street_adddress": "600 University Ave, Toronto, ON M5G 1X5, Canada", "lat": "43.65746340", "lng": "-79.39036930", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461252", "http://doi.org/10.1109/ICRA.2018.8461252"]}, {"id": "361164861d8e4676079219f6d099358a31fc4025", "title": "Multiple Hypothesis Tracking Revisited", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf", "http://web.engr.oregonstate.edu/~lif/MHT_ICCV15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410890", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.533", "http://doi.org/10.1109/ICCV.2015.533"]}, {"id": "2112edee4a60602e9e5dc5e4f9e352f983f0c8c1", "title": "Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration", "addresses": [{"name": "CSIRO, Australia", "source_name": "NICTA, PO Box 6020, St Lucia, QLD 4067, Australia", "street_adddress": "Research Way, Clayton VIC 3168, Australia", "lat": "-37.90627370", "lng": "145.13194490", "type": "edu", "country": "Australia"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1303.4160.pdf"], "doi": []}, {"id": "f496c321dc171ddd1c0f280436fe40722e1b03ce", "title": "Using dominant sets for data association in multi-camera tracking", "addresses": [{"name": "University Ca' Foscari", "source_name": "University Ca' Foscari, Venezia Mestre, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2789126"]}, {"id": "b467f07202aacb8c5f7e053a7fd4e72d0da16b22", "title": "Multiple human tracking based on distributed collaborative cameras", "addresses": [{"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3163-7"]}, {"id": "62d719b40d3c8db3d33f06a5fdc34858c4d498fe", "title": "A comparative view on exemplar \u2018tracking-by-detection\u2019 approaches", "addresses": [{"name": "CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301774", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301774", "http://doi.org/10.1109/AVSS.2015.7301774", "https://hal.archives-ouvertes.fr/hal-01202882/document"]}, {"id": "8e74244e220a1c9e89417caa1ad22f649884d311", "title": "ArtTrack: Articulated Multi-Person Tracking in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01465.pdf"], "doi": []}, {"id": "047fef806e6afb3430bfc6d8a6ab09b48afb9822", "title": "Inference of Complex Trajectories by Means of a Multibehavior and Multiobject Tracking Algorithm", "addresses": [{"name": "Image Processing Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "Image Processing Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6415260", "http://doi.org/10.1109/TCSVT.2013.2241355"]}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "0480b71244b59ed13cfe844c8bac8883a0c40573", "title": "Efficient Second Order Multi-Target Tracking with Exclusion Constraints", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0ef3/b7099e81ecdab031d65c428d11bc6ca4a23c.pdf"], "doi": []}, {"id": "c9baea734a14e4302829769ac39fe8c48fbae5a1", "title": "Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02073.pdf"], "doi": []}, {"id": "f6f12e0fbfce067d02445abde76be0522e4db329", "title": "Online Multiple targets Detection and Tracking from Mobile robot in Cluttered indoor Environments with Depth Camera", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f6f1/2e0fbfce067d02445abde76be0522e4db329.pdf"], "doi": []}, {"id": "42b58427ed3265ad3c46b3e378ab09c26e91117c", "title": "Hierarchical data association and depth-invariant appearance model for indoor multiple objects tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://robotics.szpku.edu.cn/c/publication/paper/ICIP2013-wangcan1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738543", "http://doi.org/10.1109/ICIP.2013.6738543"]}, {"id": "3c3477903b5138fe5e5e007556981387dd391f77", "title": "Online adaptive multiple pedestrian tracking in monocular surveillance video", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2319-3"]}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "cc7e66f2ba9ac0c639c80c65534ce6031997acd7", "title": "Facial Descriptors for Identity-Preserving Multiple People Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/cc7e/66f2ba9ac0c639c80c65534ce6031997acd7.pdf"], "doi": []}, {"id": "b3182d09761014b4efa2787b6a66700b52c979a6", "title": "Real-time scheme for 3-dimensional localizing and tracking of people in multiple camera settings", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8204448"]}, {"id": "2338aef7041339ea4b894441e92267e4a28e4bef", "title": "Tracking Objects with Higher Order Interactions using Delayed Column Generation", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.02413.pdf"], "doi": []}, {"id": "4a64b020c72db15a729939a2c041ef4f5830f0f7", "title": "Challenges of Ground Truth Evaluation of Multi-target Tracking", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W21/papers/Milan_Challenges_of_Ground_2013_CVPR_paper.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/anton13cvprw.pdf", "http://www.milanton.de/files/cvprws2013/cvprws2013-anton.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595955", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.111", "http://doi.org/10.1109/CVPRW.2013.111"]}, {"id": "77a53d4141a8081657ce08b13dc3328ac4a4e689", "title": "You'll never walk alone: Modeling social behavior for multi-target tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2009", "pdf": ["http://europa.informatik.uni-freiburg.de/files/iccv09stefano.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_ICCV_2009/contents/pdf/iccv2009_034.pdf", "http://vision.cse.psu.edu/courses/Tracking/vlpr12/PellegriniNeverWalkAlone.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459260", "http://doi.org/10.1109/ICCV.2009.5459260"]}, {"id": "b64c2baf82c51a7538136c32f5193bdfef946297", "title": "UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b64c/2baf82c51a7538136c32f5193bdfef946297.pdf"], "doi": []}, {"id": "01018a509f32601e1bbf7f0159aad1a513e23f92", "title": "Computers in the Human Interaction Loop", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/0101/8a509f32601e1bbf7f0159aad1a513e23f92.pdf"], "doi": []}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "d04631e40b237ae29cb8d2bd187b04033580e63b", "title": "Multi-cue Based Multi-target Tracking with Boosted MHT", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d046/31e40b237ae29cb8d2bd187b04033580e63b.pdf"], "doi": []}, {"id": "1922082de84afb69c966a7628e86012342b475fd", "title": "Fast Online Tracking With Detection Refinement", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103346", "http://doi.org/10.1109/TITS.2017.2750082"]}, {"id": "5348367971754f6b63bd0c595fc3e331eed8950d", "title": "GM-PHD Filter Based Online Multiple Human Tracking Using Deep Discriminative Correlation Matching", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0004299.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461946", "http://doi.org/10.1109/ICASSP.2018.8461946"]}, {"id": "b5c945e04cdf204358e7964290867b38435ef458", "title": "Sliding-Window Optimization on an Ambiguity-Clearness Graph for Multi-object Tracking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08913.pdf"], "doi": []}, {"id": "52f68dd74f2242a45dbbd1b4ec742bc090a2c2b0", "title": "Rank-1 Tensor Approximation for High-Order Association in Multi-target Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01147-z"]}, {"id": "8dcc1e0f0215dd5fcb6d698c35180d40dadc8dac", "title": "VirtualWorlds as Proxy for Multi-object Tracking Analysis", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06457.pdf"], "doi": []}, {"id": "b3b97439c33063c9c45c305b67dd8f6066052096", "title": "Multi-modal identification and tracking of vehicles in partially observed environments", "addresses": [{"name": "Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany", "source_name": "Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany", "street_adddress": "Technische Universit\u00e4t Berlin Fachgebiet Medienwissenschaft Institut f\u00fcr Sprache und Kommunikation, Ernst-Reuter-Platz 7, 10587 Berlin, Germany", "lat": "52.51297900", "lng": "13.32002900", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer Application Center for Wireless Sensor Systems, Coburg, Germany", "source_name": "Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany", "street_adddress": "96450 Coburg, Germany", "lat": "50.25569800", "lng": "10.95508180", "type": "company", "country": "Germany"}, {"name": "Fraunhofer Institut for Open Communication Technologies (FOKUS)", "source_name": "Fraunhofer Institut for Open Communication Technologies (FOKUS), Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany", "street_adddress": "Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany", "lat": "52.52600000", "lng": "13.31448750", "type": "company", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7275470", "http://doi.org/10.1109/IPIN.2014.7275470"]}, {"id": "b0a1f562a55aae189d6a5cb826582b2e7fb06d3c", "title": "Multi-modal Mean-Fields via Cardinality-Based Clamping", "addresses": [{"name": "CVLab, EPFL, Lausanne, Switzerland", "source_name": "CVLab, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07941.pdf"], "doi": []}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "50797bf1a167ba294f640d3ae237cee962427cf0", "title": "Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by Nonnegative Discretization", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d714.pdf", "http://www.cs.cmu.edu/~iyu/files/cvpr13/cvpr13.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yu_Harry_Potters_Marauders_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619320", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.476", "http://doi.org/10.1109/CVPR.2013.476"]}, {"id": "819cc41c4b5370ef9ad6eaced1fe4005aa5fd2e6", "title": "Multitarget data association with higher-order motion models", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://vision.cse.psu.edu/courses/Tracking/vlpr12/CollinsCVPR2012.pdf", "http://www.cse.psu.edu/~rtc12/Papers/CollinsCVPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247870", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247870", "http://doi.org/10.1109/CVPR.2012.6247870"]}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "4d5c179ffdf09255edadb1bb7233e0c23e55b8b4", "title": "Multi-scale behavior learning for multi-object tracking", "addresses": [{"name": "Harbin Institue of Technology, Harbin, China", "source_name": "Haerbin Institue of Technology, Harbin, China", "street_adddress": "92 Xidazhi St, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150006", "lat": "45.74704360", "lng": "126.63343060", "type": "edu", "country": "China"}, {"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298683"]}, {"id": "5fe89653d22d35cf98a6fe6e6793da82a55f5c9f", "title": "Collaborative Deep Reinforcement Learning for Multi-object Tracking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5fe8/9653d22d35cf98a6fe6e6793da82a55f5c9f.pdf"], "doi": []}, {"id": "349f305fff405c0f38b9df2e1648450eb841fcea", "title": "Multi-target Tracking with Motion Context in Tensor Power Iteration", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Shi_Multi-target_Tracking_with_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.450", "http://doi.org/10.1109/CVPR.2014.450"]}, {"id": "4a0707131dab1c64c03bfa0809b050d34fafeeb5", "title": "Cell Lineage Tracing in Lens-Free Microscopy Videos", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a07/07131dab1c64c03bfa0809b050d34fafeeb5.pdf"], "doi": []}, {"id": "f08b25b904aac24b84e35ee7acbe208a7775f27b", "title": "Changes in Usage of an Indoor Public Space: Analysis of One Year of Person Tracking", "addresses": [{"name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "source_name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "street_adddress": "Kyoto, Kyoto Prefecture, Japan", "lat": "35.01163630", "lng": "135.76802940", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.irc.atr.jp/~drazen/pdf/THMS2015_Brscic.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981971", "http://doi.org/10.1109/THMS.2014.2374172", "https://www.wikidata.org/entity/Q57598239"]}, {"id": "2c39e50b2000fd73f648b25d70321815e410162d", "title": "A Multiple Targets Appearance Tracker Based on Object Interaction Models", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5993525", "http://doi.org/10.1109/TCSVT.2011.2165591"]}, {"id": "f043824a1d6ae1eb2ae1d5c1845c0a050efdf345", "title": "Visual Multiple Target Tracking From a Descending Aerial Platform", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8431915"]}, {"id": "7d6a8c2a857a4eb3d9f6c3c470906f2182c9473a", "title": "Hierarchical Grid-based Multi-People Tracking-by-Detection With Global Optimization", "addresses": [{"name": "German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany", "source_name": "German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany", "street_adddress": "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "lat": "48.08342380", "lng": "11.27563320", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7140789", "http://doi.org/10.1109/TIP.2015.2451013", "https://www.ncbi.nlm.nih.gov/pubmed/26151936", "https://www.wikidata.org/entity/Q40761222"]}, {"id": "c887a86430f0444f71ea4ce6da807455d0435dc7", "title": "A robust NF-GMMCP algorithm for multi-pedestrian tracking", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8284894"]}, {"id": "3507544e326253c47e4896919cccafe97a0c2661", "title": "Confidence Intervals for Tracking Performance Scores", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451433"]}, {"id": "65bccb76384bc95c8fe53f2d2a8e3f048fd880bf", "title": "Bi-label Propagation for Generic Multiple Object Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://mi.eng.cam.ac.uk/~bdrs2/papers/luo_cvpr14.pdf", "http://mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2014-CVPR-Luo.pdf", "http://mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2014-CVPR-Luo.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Luo_Bi-label_Propagation_for_2014_CVPR_paper.pdf", "https://labicvl.github.io/docs/pubs/Wenhan_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909564", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.168", "http://doi.org/10.1109/CVPR.2014.168"]}, {"id": "4a0cec395dfe1ab634f53cf295409281c40ed5c0", "title": "Multi-target tracking with hierarchical data association using main-parts and spatial-temporal feature models", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6667-0"]}, {"id": "c3717efdfd3d19018153d52c21b8b582c9629fbf", "title": "Performance evaluation of multi-target tracking without knowing ground truth", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7527887", "http://ieeexplore.ieee.org/document/7527887/"]}, {"id": "797230c284a24ae7b3c9781f8188a59345b90838", "title": "Improving robot reactivity to passers-by with a faster people detector", "addresses": [{"name": "LAAS-CNRS and Universite Paul Sabatier, Toulouse, France", "source_name": "LAAS-CNRS and Universite Paul Sabatier, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}, {"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7451814", "http://dl.acm.org/citation.cfm?id=2906935", "https://hal.archives-ouvertes.fr/hal-01296641/document"]}, {"id": "6c10226a1f68997d85aa0970521a9ff9507e0caf", "title": "Medical Image Computing and Computer-Assisted Intervention \u2212 MICCAI 2017", "addresses": [{"name": "DKFZ, Heidelberg, Germany", "source_name": "DKFZ, Heidelberg, Germany", "street_adddress": "Im Neuenheimer Feld 280, 69120 Heidelberg, Germany", "lat": "49.41441400", "lng": "8.67296070", "type": "edu", "country": "Germany"}, {"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}, {"name": "Ulm University of Applied Sciences", "source_name": "Ulm University of Applied Sciences, Ulm, Germany", "street_adddress": "Prittwitzstra\u00dfe 10, 89075 Ulm, Germany", "lat": "48.40900000", "lng": "9.99742600", "type": "edu", "country": "Germany"}, {"name": "Universit\u00e9 Laval, Qu\u00e9bec, Canada", "source_name": "Universit\u00e9 Laval, Qu\u00e9bec, Canada", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}, {"name": "Universit\u00e9 de Rennes 1, Rennes, France", "source_name": "Universit\u00e9 de Rennes 1, Rennes, France", "street_adddress": "Rue du Thabor, 35000 Rennes, France", "lat": "48.11592990", "lng": "-1.67296000", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Sherbrooke, Sherbrooke, Canada", "source_name": "Universit\u00e9 de Sherbrooke, Sherbrooke, Canada", "street_adddress": "Administration, 2500 Boulevard de l'Universit\u00e9, Sherbrooke, QC J1K 2R1, Canada", "lat": "45.37681380", "lng": "-71.92560030", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-66185-8"]}, {"id": "1ae3dd081b93c46cda4d72100d8b1d59eb585157", "title": "Online Motion Agreement Tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fea1/0f39b0a77035fb549fc580fd951384b79f9b.pdf"], "doi": []}, {"id": "28bdfdc5fcbb6ecd1d9bf02356e5a80ffe1882b3", "title": "An Improved Particle Filter Approach for Real-time Pedestrian Tracking in Surveillance Video", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://download.atlantis-press.com/article/6695.pdf"], "doi": ["https://doi.org/10.2991/icista.2013.35"]}, {"id": "b498990a90a2b60802f9532fdf88f23caed7e864", "title": "Multiple person tracking using omnidirectional cameras", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6830458", "http://doi.org/10.1109/SIU.2014.6830458"]}, {"id": "2b88c583cd62130f1e2c6921db9703a0c5746a90", "title": "Multicamera tracking of multiple humans based on colored visual hulls", "addresses": [{"name": "University of Crete", "source_name": "University of Crete", "street_adddress": "House of Europe, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a1\u03ad\u03b8\u03c5\u03bc\u03bd\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03bf\u03c5, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, \u039a\u03c1\u03ae\u03c4\u03b7, 930100, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "35.37130240", "lng": "24.47544080", "type": "edu", "country": "Greece"}], "year": "2013", "pdf": ["http://users.ics.forth.gr/~argyros/mypapers/2013_09_etfa_coloredhulls.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6647982", "http://doi.org/10.1109/ETFA.2013.6647982"]}, {"id": "f7dbb15ed72d1282445178dab3368d7676763aa6", "title": "On multi-modal people tracking from mobile platforms in very crowded and dynamic environments", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://www.vision.rwth-aachen.de/media/papers/linderICRA16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487766", "http://doi.org/10.1109/ICRA.2016.7487766"]}, {"id": "5bf6e7599c38ade8ef3b97a3411a7f84418b6062", "title": "Pedestrian detection with LeNet-like convolutional networks", "addresses": [{"name": "Universidad Rey Juan Carlos, M\u00f3stoles, Spain", "source_name": "Universidad Rey Juan Carlos, M\u00f3stoles, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-017-3197-z"]}, {"id": "46bdfee362a4de978d24d53fd704d64d82273718", "title": "Crowd Tracking with Dynamic Evolution of Group Structures", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}, {"name": "Shenzhen, China", "source_name": "Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940139.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_10"]}, {"id": "6bda2c2ab87ce2fda3b2f7e87643835f921551a0", "title": "Camera Self-Calibration Based on Nonlinear Optimization and Applications in Surveillance Systems", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364242", "http://doi.org/10.1109/TCSVT.2015.2511812"]}, {"id": "9bf0db2da5fcf245d353350f69c8eed8a63eaaeb", "title": "Robust Online Multiobject Tracking With Data Association and Track Management", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6807759", "http://doi.org/10.1109/TIP.2014.2320821", "https://www.ncbi.nlm.nih.gov/pubmed/24801247", "https://www.wikidata.org/entity/Q30815170"]}, {"id": "0f07dcf92588945eb0d70893cdf0fe4a48552763", "title": "Detection- and Trajectory-Level Exclusion in Multiple Object Tracking", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d682.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Milan_Detection-_and_Trajectory-Level_2013_CVPR_paper.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/anton13cvpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619316", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.472", "http://doi.org/10.1109/CVPR.2013.472"]}, {"id": "46f698dacdb5f76d6b4dae67cb1ae4da2b789398", "title": "Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05990.pdf"], "doi": []}, {"id": "3c7d2ac29c867600d3bda5b356db76e3a5014a71", "title": "Decentralized particle filter for joint individual-group tracking", "addresses": [{"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": ["http://www.lorisbazzani.info/papers/proceedings/Bazzanietal_CVPR12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247888", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247888", "http://doi.org/10.1109/CVPR.2012.6247888"]}, {"id": "29acb73f1aec78996d77eede7a7b72e892be9a84", "title": "Multitarget Tracking Using Hough Forest Random Field", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295597", "http://doi.org/10.1109/TCSVT.2015.2489438"]}, {"id": "f2b627f11a36c359de9aab6c44796e1d30d30b64", "title": "Multiple Pedestrian Tracking From Monocular Videos in an Interacting Multiple Model Framework", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141418", "http://doi.org/10.1109/TIP.2017.2779856", "https://www.ncbi.nlm.nih.gov/pubmed/29990195"]}, {"id": "cf6b966a2d45fd44ef8f86cf0ba805cdc4d4ad57", "title": "Online multi-person tracking assist by high-performance detection", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11227-017-2202-8"]}, {"id": "0c8769bf0501fdd7fbc94ca81601de4a40679295", "title": "On Duality Of Multiple Target Tracking and Segmentation", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04542.pdf"], "doi": []}, {"id": "67c25e73b89166563cf5b70ffc043bbff23a321c", "title": "Handling of False Stationary Detections in Background Subtraction in Video Preprocessing", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/67c2/5e73b89166563cf5b70ffc043bbff23a321c.pdf"], "doi": []}, {"id": "3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc", "title": "Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory", "addresses": [{"name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "source_name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "street_adddress": "Zoumaliang Rd, Banan Qu, Chongqing Shi, China", "lat": "29.42475500", "lng": "106.53683700", "type": "edu", "country": "China"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451174", "http://doi.org/10.1109/ICIP.2018.8451174"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "2781de1aa6f4c9621ad3af38fc58b894696f1791", "title": "FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1407.6251.pdf"], "doi": []}, {"id": "28b59fcd3d642f8d92a7c868c0076b00bd7f55cf", "title": "Multi-target tracking in team-sports videos via multi-level context-conditioned latent behaviour models", "addresses": [{"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/28b5/9fcd3d642f8d92a7c868c0076b00bd7f55cf.pdf"], "doi": []}, {"id": "5e024e0fd57ab03e4fc767ffa5fa4c71328d5ad7", "title": "Kalman Filter Based Multiple Human Tracking Method in Auto-aligned Multi-Camera Environment", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Korea University of Science and Technology", "source_name": "Division of Nano & Information Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Korea", "street_adddress": "217 Gajeong-ro, Sinseong-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.38513950", "lng": "127.36834130", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441884", "http://doi.org/10.1109/URAI.2018.8441884"]}, {"id": "21a82c06f71a99ce40f5ffb72fe2908abac8433c", "title": "Track-oriented evaluation of multi-target tracking without knowing ground truth", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8009730", "http://doi.org/10.23919/ICIF.2017.8009730"]}, {"id": "813dc79f5f439050d68c923a410940d0d139ceb2", "title": "Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model", "addresses": [{"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-24965-5_63"]}, {"id": "54c5fad54492650f6eccb90bafcab8c2b779ee2f", "title": "Real-time text tracking in natural scenes", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/54c5/fad54492650f6eccb90bafcab8c2b779ee2f.pdf"], "doi": []}, {"id": "1849b903e19b3abfeff7b0c86cc875f6b42b0818", "title": "Leveraging weak segmentation for multi-object tracking system", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122579", "http://doi.org/10.1109/SMC.2017.8122579"]}, {"id": "d7c094f5be41a13a579d8922ec4d50c70be1c276", "title": "Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive Likelihoods", "addresses": [{"name": "Marquette University", "source_name": "Marquette University", "street_adddress": "Marquette University, West Wisconsin Avenue, University Hill, Milwaukee, Milwaukee County, Wisconsin, 53226, USA", "lat": "43.03889625", "lng": "-87.93155450", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7c0/94f5be41a13a579d8922ec4d50c70be1c276.pdf"], "doi": []}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "7e6f7ce8ec6f62c4bf68f84207973914fc8e79b9", "title": "Exploring bounding box context for multi-object tracker fusion", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.vision.rwth-aachen.de/media/papers/breuersWACV16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477564", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477564", "http://doi.org/10.1109/WACV.2016.7477564"]}, {"id": "d914c53cdf26acc64259d381fbd45c4e150633ee", "title": "Pedestrian Tracking in the Compressed Domain Using Thermal Images", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d914/c53cdf26acc64259d381fbd45c4e150633ee.pdf"], "doi": []}, {"id": "4b8ecd100d6640fd7659be2715c86b7a9103240b", "title": "Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4b8e/cd100d6640fd7659be2715c86b7a9103240b.pdf"], "doi": []}, {"id": "e7c2670a0785d0fa1fd768f5c119f0e43a376b97", "title": "Automated Non-Invasive Measurement of Single Sperm\u2019s Motility and Morphology", "addresses": [{"name": "CReATe Fertility Centre, Toronto, Canada", "source_name": "CReATe Fertility Centre, Toronto, Canada", "street_adddress": "790 Bay St #1100, Toronto, ON M5G 1N8, Canada", "lat": "43.66047100", "lng": "-79.38618970", "type": "company", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Mount Sinai Hospital, Toronto, Canada", "source_name": "Mount Sinai Hospital, Toronto, Canada", "street_adddress": "600 University Ave, Toronto, ON M5G 1X5, Canada", "lat": "43.65746340", "lng": "-79.39036930", "type": "edu", "country": "Canada"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8365808", "http://doi.org/10.1109/TMI.2018.2840827", "https://www.ncbi.nlm.nih.gov/pubmed/29993571"]}, {"id": "9b477dde9aabadba1ad2f2f180e755f31af904aa", "title": "Parameter estimation and contextual adaptation for a multi-object tracking CRF model", "addresses": [{"name": "Idiap Research Institute - CH-1920, Martigny, Switzerland", "source_name": "Idiap Research Institute - CH-1920, Martigny, Switzerland", "street_adddress": "Rue Marconi 19, 1920 Martigny, Switzerland", "lat": "46.10937600", "lng": "7.08444300", "type": "edu", "country": "Switzerland"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne - CH-1015, Lausanne, Switzerland", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne - CH-1015, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2013", "pdf": ["http://publications.idiap.ch/downloads/papers/2012/Heili_PETS_2013.pdf", "http://www.idiap.ch/~odobez/publications/HeiliOdobez-IEEE-PETS-2013.pdf", "https://infoscience.epfl.ch/record/192448/files/Heili_PETS_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6523790"]}, {"id": "ef92368c21c1310a6134de0cf5befac4443e3e85", "title": "Event-driven track management method for robust multi-vehicle tracking", "addresses": [{"name": "Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea", "source_name": "Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea", "street_adddress": "223 Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, South Korea", "lat": "35.70270780", "lng": "128.45462720", "type": "edu", "country": "South Korea"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5940458", "http://doi.org/10.1109/IVS.2011.5940458"]}, {"id": "328ffd128c86fe0b2d78fc59f3b83cf9c267ade9", "title": "Socially Constrained Tracking in Crowded Environments Using Shoulder Pose Estimates", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461030", "http://doi.org/10.1109/ICRA.2018.8461030"]}, {"id": "823db29d4c2a79e309ad2b394a4aaa83d9e15284", "title": "Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/823d/b29d4c2a79e309ad2b394a4aaa83d9e15284.pdf"], "doi": []}, {"id": "1b6202f28a66dc73f51eab72b2e0e73520f06c48", "title": "OpenPTrack: Open source multi-camera calibration and people tracking for RGB-D camera networks", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://www.dei.unipd.it/~munaro/media/Munaro_PCL-RAS2015.pdf"], "doi": ["https://doi.org/10.1016/j.robot.2015.10.004"]}, {"id": "7da261ca2cff495bd7744504797c4c3d5b8b9b4c", "title": "Particle PHD Filter Based Multiple Human Tracking Using Online Group-Structured Dictionary Learning", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}, {"name": "State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China", "source_name": "State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China", "street_adddress": "5 Zhongguancun S St, Haidian Qu, Beijing Shi, China", "lat": "39.96038900", "lng": "116.31856700", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8318585", "http://doi.org/10.1109/ACCESS.2018.2816805"]}, {"id": "0824768412cf2c3e9f550025eee06bb34e5f3afd", "title": "Latent Data Association: Bayesian Model Selection for Multi-target Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Segal_Latent_Data_Association_2013_ICCV_paper.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/segal_etal_iccv2013/segal_etal_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751472", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.361", "http://doi.org/10.1109/ICCV.2013.361"]}, {"id": "2103bb6772bf01e43a8a4e8e34f16baac7d7c331", "title": "Information theoretic sensor management for multi-target tracking with a single pan-tilt-zoom camera", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/WACV_2014_Cristani.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/01/06836009.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836009", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836009", "http://doi.org/10.1109/WACV.2014.6836009"]}, {"id": "b88b57d52f6f16986381fa0ba9d5a1387886c157", "title": "Audio-visual tracking by density approximation in a sequential Bayesian filtering framework", "addresses": [{"name": "INRIA Grenoble Rh\u00f4ne-Alpes, France", "source_name": "INRIA Grenoble Rh\u00f4ne-Alpes, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7895564", "http://doi.org/10.1109/HSCMA.2017.7895564"]}, {"id": "d15662886a615521d4205fa1ededb3d794b9f944", "title": "Multi-modal people tracking on a mobile companion robot", "addresses": [{"name": "Ilmenau University of Technology", "source_name": "Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany", "street_adddress": "Ilmenau, Germany", "lat": "50.68435020", "lng": "10.92547280", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Volkhardt-ECMR-2013b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6698856", "http://doi.org/10.1109/ECMR.2013.6698856"]}, {"id": "e95cdc2997760c90aaaac6561c84e68d5f94aa36", "title": "Alextrac: Affinity learning by exploring temporal reinforcement within association chains", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://alex.bewley.ai/papers/BewleyICRA2016_accepted.pdf", "http://www-personal.acfr.usyd.edu.au/f.ramos/Fabio_Ramos_Homepage/Publications_files/ICRA16_1388_FI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487371", "http://doi.org/10.1109/ICRA.2016.7487371"]}, {"id": "c79eb3b4d8324eb824493e53bfcb4d3980398523", "title": "Tracking people within groups with RGB-D data", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": ["http://robotics.dei.unipd.it/images/Papers/Conferences/munaro_iros12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385772", "http://doi.org/10.1109/IROS.2012.6385772"]}, {"id": "a9e0e667537c9059b3050a64d22b8fe86787d913", "title": "Detecting and Tracking Vehicles , Pedestrians , and Bicyclists at Intersections with a Stationary Lidar", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a9e0/e667537c9059b3050a64d22b8fe86787d913.pdf"], "doi": []}, {"id": "5d9822e581ea793bc70998ee8b40c6ae37e5a994", "title": "A classification and clustering method for tracking multiple objects", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301626"]}, {"id": "1a10782ce899b0f884aaa8ef4659976adb5d0699", "title": "Clustering of tracklets for on-line multi-target tracking in networked camera systems", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "VDG Security B.V., Zoetermeer, The Netherlands", "source_name": "VDG Security B.V., Zoetermeer, The Netherlands", "street_adddress": "Platinastraat 65, 2718 SZ Zoetermeer, Netherlands", "lat": "52.03906240", "lng": "4.50348140", "type": "company", "country": "Netherlands"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5945951", "http://doi.org/10.1109/CISDA.2011.5945951"]}, {"id": "6fbf3df212eddaca8d3600065b341ad5174ae5c1", "title": "Dynamic Behavior Analysis via Structured Rank Minimization", "addresses": [{"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/georgakis_ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0985-3"]}, {"id": "3aee2ec5a43d599742af6a87427095b9cdf06a8b", "title": "Hyper-Optimization tools comparison for parameter tuning applications", "addresses": [{"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}, {"name": "LAAS-CNRS, Universit\u00e9 de Toulouse, CNRS, UPS, Toulouse, France", "source_name": "LAAS-CNRS, Université de Toulouse, CNRS, UPS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078499"]}, {"id": "39df8bc28c6a5ba494bf2d31f68bba06acf934a5", "title": "Moving object tracking for aerial video coding using linear motion prediction and block matching", "addresses": [{"name": "Institut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "Institut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38864370", "lng": "9.71259330", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://www.tnt.uni-hannover.de/papers/data/1185/Meuel_et_al_Moving_Object_Tracking_for_Aerial_Video_Coding_using_Linear_Motion_Prediction_and_Block_Matching_PCS2016.pdf", "https://www.tnt.uni-hannover.de/papers/data/1185/Meuel_et_al_Moving_Object_Tracking_for_Aerial_Video_Coding_using_Linear_Motion_Prediction_and_Block_Matching_PCS2016_POSTER.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7906333", "http://doi.org/10.1109/PCS.2016.7906333"]}, {"id": "58c17688fc08eb69ff3b20803a227693289d63c5", "title": "Online multiple objects tracking with detection reliability prior constraint", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5530-z"]}, {"id": "4774b9853968b12156287bd42bb425d79f99e313", "title": "Online Multi-object Tracking Based on Hierarchical Association Framework", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w20/papers/Ju_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789651", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.161", "http://doi.org/10.1109/CVPRW.2016.161"]}, {"id": "a9624e3c04272fe06fcc440a04b373533439c111", "title": "Pattern Recognition and Computer Vision", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-03341-5"]}, {"id": "572791e2f290dc0ecb05e56bfa714c4b7af79b08", "title": "Extended MHT algorithm for multiple object tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2382358"]}, {"id": "817502a2b3d7db07f89158ce2996a9e4bc433a8b", "title": "RefineNet: Refining Object Detectors for Autonomous Driving", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/rakesh_refinenet_2016.pdf", "https://eshed1.github.io/papers/refineNet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944662", "http://doi.org/10.1109/TIV.2017.2695896"]}, {"id": "9a5473662819063cb60c1b29e6544b9314b9b29f", "title": "Predicting Social Interactions for Visual Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f109/9ae1a4c710a3f678a525a4c955245019a9c3.pdf"], "doi": []}, {"id": "7372c1e9cb87dad88bc160536263e461bb7ab04c", "title": "Trajectory energy minimization for cell growth tracking and genealogy analysis", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7372/c1e9cb87dad88bc160536263e461bb7ab04c.pdf"], "doi": []}, {"id": "267bd60e442d87c44eaae3290610138e63d663ab", "title": "PoseTrack: Joint Multi-person Pose Estimation and Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07727.pdf"], "doi": []}, {"id": "1ae8afd68c2bec15ab5d02299c739151cd668ca3", "title": "Human behaviour recognition in data-scarce domains", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pure.qub.ac.uk/portal/files/56945093/Baxt1_s2.0_S0031320315000795_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/8744350/1_s2.0_S0031320315000795_main.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2015.02.019"]}, {"id": "2524d9d45471fa8908b17f04060b68e7cfeff841", "title": "Wizard of Oz revisited: Researching on a tour guide robot while being faced with the public", "addresses": [{"name": "University of Applied Sciences Dresden", "source_name": "University of Applied Sciences Dresden, Artificial Intelligence Lab, Germany", "street_adddress": "01069 Dresden, Germany", "lat": "51.02927340", "lng": "13.72899640", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6343833", "http://doi.org/10.1109/ROMAN.2012.6343833"]}, {"id": "8c8a61fc2c0e426aa64e50756b777475f3beb49b", "title": "Robust Marker-Based Tracking for Measuring Crowd Dynamics", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8c8a/61fc2c0e426aa64e50756b777475f3beb49b.pdf"], "doi": []}, {"id": "4643a480f115d5ae96259f204b6712c1e769a699", "title": "Real-Time People Tracking in a Camera Network", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507659"]}, {"id": "8b928332d60e995bce78ff543a2d7a37f1103ac6", "title": "Person Tracking in Large Public Spaces Using 3-D Range Sensors", "addresses": [{"name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "source_name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "street_adddress": "Kyoto, Kyoto Prefecture, Japan", "lat": "35.01163630", "lng": "135.76802940", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://www.irc.atr.jp/~drazen/pdf/THMS_Brscic_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636027", "http://doi.org/10.1109/THMS.2013.2283945", "https://www.wikidata.org/entity/Q57598258"]}, {"id": "89f680a78d118f14753056496dd26059ca08a6c7", "title": "A Modified MDP Algorithm for Multi-Pedestrians Tracking", "addresses": [{"name": "National University of Defense Technology University", "source_name": "National University of Defense Technology University, College of Intelligent Science, Changsha, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8469500"]}, {"id": "e8cda2c754670850ec722799640c6cb42dfb8199", "title": "4D Generic Video Object Proposals", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09260.pdf"], "doi": []}, {"id": "61ed130bd12c5ff8170a9bcbb4e108657ec5942a", "title": "Automatic analysis of deep-water remotely operated vehicle footage for estimation of Norway lobster abundance", "addresses": [{"name": "Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia", "source_name": "Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}, {"name": "Centro de Ci\u00eancias do Mar (CCMAR), Portugal", "source_name": "Centro de Ci\u00eancias do Mar (CCMAR) - Campus de Gambelas, Faro, Portugal", "street_adddress": "Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal", "lat": "37.04326800", "lng": "-7.97327500", "type": "edu", "country": "Portugal"}, {"name": "Instituto Portugu\u00eas do Mar e da Atmosfera (IPMA), Divis\u00e3o de Modela\u00e7\u00e3o e Gest\u00e3o de Recursos da Pesca, Lisbon, Portugal", "source_name": "Instituto Portugu\u00eas do Mar e da Atmosfera (IPMA), Divis\u00e3o de Modela\u00e7\u00e3o e Gest\u00e3o de Recursos da Pesca, Lisbon, Portugal", "street_adddress": "R. da Escola Polit\u00e9cnica 27, 1250-099 Lisboa, Portugal", "lat": "38.71718240", "lng": "-9.14978190", "type": "edu", "country": "Portugal"}, {"name": "Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Lisbon, Portugal", "source_name": "Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Lisbon, Portugal", "street_adddress": "Instituto Superior T\u00e9cnico, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal", "lat": "38.73684640", "lng": "-9.13934570", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1631/FITEE.1700720"]}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "5d58d4164493924906231a28153e50342fdf1198", "title": "Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1402.2016.pdf"], "doi": []}, {"id": "b5db3a52a8d22d3a6cc3ea66f7babef7b8503f53", "title": "Visual fish tracking: Combining a two-stage graph approach with CNN-features", "addresses": [{"name": "Friedrich Schiller University Jena", "source_name": "Computer Vision Group, Friedrich Schiller University Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}, {"name": "Fulda University of Applied Sciences", "source_name": "Fulda University of Applied Sciences, Fulda, Germany", "street_adddress": "Leipziger Str. 123, 36037 Fulda, Germany", "lat": "50.56538480", "lng": "9.68825800", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8084691", "http://doi.org/10.1109/OCEANSE.2017.8084691"]}, {"id": "fba5b5a8675d5f9e57243fd7a1320193db321150", "title": "Using The Voice Spectrum For Improved Tracking Of People In A Joint Audio-Video Scheme", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6638333", "http://doi.org/10.1109/ICASSP.2013.6638333"]}, {"id": "fbdc18d9e6bfcbac30b8bb330c71b6f2be48395e", "title": "Online multi-object tracking with convolutional neural networks", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296360", "http://doi.org/10.1109/ICIP.2017.8296360"]}, {"id": "a045ce22bd4372c3b6a1c5ccde5df88974927fc1", "title": "Structural Constraint Data Association for Online Multi-object Tracking", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}, {"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv18_mot1.pdf"], "doi": ["http://doi.org/10.1007/s11263-018-1087-1"]}, {"id": "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "title": "Multi-omnidirectional cameras for ambient intelligence", "addresses": [{"name": "Bo\u011fazi\u00e7i \u00dcniversitesi, Turkey", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, 34342 Bebek, \u0130stanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204823", "http://doi.org/10.1109/SIU.2012.6204823"]}, {"id": "f8549b73b76078a6c89a8c35040c73fcbc884e20", "title": "Classification of road users detected and tracked with LiDAR at intersections", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f854/9b73b76078a6c89a8c35040c73fcbc884e20.pdf"], "doi": []}, {"id": "df01f6be9573a7864e86d960db7cf3cef3a8199d", "title": "Multi-Agent Reinforcement Learning for Multi-Object Tracking", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df01/f6be9573a7864e86d960db7cf3cef3a8199d.pdf"], "doi": []}, {"id": "fbece7c5584662d1da447b12e9a2be6fe626216e", "title": "Template-based people detection using a single downward-viewing fisheye camera", "addresses": [{"name": "Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC", "source_name": "Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC", "street_adddress": "No. 19\u865f, Zhongxing Road, Yangmei District, Taoyuan City, Taiwan 326", "lat": "24.91884430", "lng": "121.18410930", "type": "edu", "country": "Taiwan"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266570", "http://doi.org/10.1109/ISPACS.2017.8266570"]}, {"id": "d84f9b4dd297075aecec1135a280f92c8ce7f1af", "title": "Automatic tracking of multiple zebrafish larvae with resilience against segmentation errors", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8363776", "http://doi.org/10.1109/ISBI.2018.8363776"]}, {"id": "3d1b0c7e9ef0e31dd635041539e795dc07ebee86", "title": "Tracking people in 3D using a bottom-up top-down detector", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/spinelloICRA11.pdf", "http://www2.informatik.uni-freiburg.de/~luber/icra11/spinelloICRA11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5980085", "http://doi.org/10.1109/ICRA.2011.5980085"]}, {"id": "d8bc2e2537cecbe6e751d4791837251a249cd06d", "title": "Assessing tracking performance in complex scenarios using mean time between failures", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cse.psu.edu/~rtc12/Papers/wacv2016CarrCollins.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477617", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477617", "http://doi.org/10.1109/WACV.2016.7477617"]}, {"id": "38079a7f127ee9279ac99c4e18f87e80777cc895", "title": "Multiobject tracking as maximum weight independent set", "addresses": [{"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://web.engr.oregonstate.edu/~sinisa/research/publications/cvpr11_MWIS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995395", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995395", "http://doi.org/10.1109/CVPR.2011.5995395"]}, {"id": "286f443fa85bc9d892ab54878c0ace0264d0dcff", "title": "Principled Parallel Mean-Field Inference for Discrete Random Fields", "addresses": [{"name": "CVLab, EPFL, Lausanne, Switzerland", "source_name": "CVLab, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06103.pdf"], "doi": []}, {"id": "1442f7813f2a14c14f977b2fff833f5c502db59a", "title": "Tracking Multiple Maneuvering Targets Using Integer Programming and Spline Interpolation", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455837", "http://doi.org/10.23919/ICIF.2018.8455837"]}, {"id": "448284cba619e3d0cdf4c0023db91ec3fdcaa349", "title": "Hierarchical Data Association Framework with Occlusion Handling for Multiple Targets Tracking", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714396", "http://doi.org/10.1109/LSP.2014.2300497"]}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "c5ba4e0a8abadb68b3de135e3da522059a99b2cd", "title": "Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://www.dei.unipd.it/~munaro/media/Zennaro_ICME2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177380", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177380", "http://doi.org/10.1109/ICME.2015.7177380"]}, {"id": "d8fcfb25195b71b85cec72edf160f00f160cbe70", "title": "Global data association for the Probability Hypothesis Density filter using network flows", "addresses": [{"name": "University of Koblenz-Landau", "source_name": "Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany", "street_adddress": "Rhabanusstra\u00dfe 3, 55118 Mainz, Germany", "lat": "50.00335000", "lng": "8.25958700", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://www.uni-koblenz.de/~agas/Documents/Wojke2016GDA.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487180", "http://doi.org/10.1109/ICRA.2016.7487180"]}, {"id": "3a92179c7d9f938dd313ea2620f5b3329f167d56", "title": "First-person multiple object tracking in complex traffic scenes", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025475", "http://doi.org/10.1109/ICIP.2014.7025475"]}, {"id": "18219d85bb14f851fc4714df19cc7f38dff8ddc3", "title": "Adaptation of Convolutional Neural Networks for the 2017 DAVIS Challenge on Video Object Segmentation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1821/9d85bb14f851fc4714df19cc7f38dff8ddc3.pdf"], "doi": []}, {"id": "4eb2f74766378c218e01cca0f23db47df00bd1fc", "title": "Robust and low complexity obstacle detection and tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795717", "http://doi.org/10.1109/ITSC.2016.7795717"]}, {"id": "2a547bf34d185f80a0d476148721b6f05c276256", "title": "Detection , Description and Tracking of Ants in Video Sequences", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2a54/7bf34d185f80a0d476148721b6f05c276256.pdf"], "doi": []}, {"id": "4f7b5130d0356ada11f34bf469b2a9c6a00a5e6b", "title": "Online multi-target tracking using non-linear motion estimation", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": ["http://cheonji.kaist.ac.kr/pdfsrc/ic/2014_SJKim_URAI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7057490", "http://doi.org/10.1109/URAI.2014.7057490"]}, {"id": "072457191c91a50bd16df6d211380c9fcc21a057", "title": "Tracking-by-detection of multiple persons by a resample-move particle filter", "addresses": [{"name": "Goi Eskola Politeknikoa, Mondragon, Spain", "source_name": " Goi Eskola Politeknikoa, Mondragon Goi Unibertsitatea, Mondragon, Spain", "street_adddress": "Goiru Kalea, 2, 20500 Arrasate, Gipuzkoa, Spain", "lat": "43.06313740", "lng": "-2.50667930", "type": "edu", "country": "Spain"}, {"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France", "source_name": "Universit\u00e9 de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France", "street_adddress": "Route de Narbonne, 31330 Toulouse, France", "lat": "43.56196870", "lng": "1.47005370", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://homepages.laas.fr/lerasle/pdf/mva13.pdf"], "doi": ["http://doi.org/10.1007/s00138-013-0534-9"]}, {"id": "d0f709ab39e280467d854064132570c1d5316de5", "title": "Multi-Object Tracking and Identification over Sets", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.07960.pdf"], "doi": []}, {"id": "de92ac27693598254554531d8cadfd4728c423a1", "title": "Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02843.pdf"], "doi": []}, {"id": "de608b8696b151405105abef1de66a2199cf1f3c", "title": "Connected Component Model for Multi-Object Tracking", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471478", "http://doi.org/10.1109/TIP.2016.2570553", "https://www.ncbi.nlm.nih.gov/pubmed/28113425", "https://www.wikidata.org/entity/Q39005094"]}, {"id": "7711330fb88e2522a5779a09c1622b75557f9254", "title": "Real-time detection and tracking of pedestrians in CCTV images using a deep convolutional neural network", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7711/330fb88e2522a5779a09c1622b75557f9254.pdf"], "doi": []}, {"id": "751923405938a9f6b9dff74cf34dd34c7427b30f", "title": "Online visual multi-object tracking based on fuzzy logic", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603315", "http://doi.org/10.1109/FSKD.2016.7603315"]}, {"id": "9883759eb90c2aff373b48d31d3e5700b3bd256a", "title": "Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering.", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9883/759eb90c2aff373b48d31d3e5700b3bd256a.pdf"], "doi": []}, {"id": "11ce6be0fa8972659bd288a5f51c152fe38a1881", "title": "Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence", "addresses": [{"name": "BioMerieu, La Balme-les-Grottes", "source_name": "BioMerieu, La Balme-les-Grottes", "street_adddress": "TE, 3 Route de Port Michaud, 38390 La Balme-les-Grottes, France", "lat": "45.85432970", "lng": "5.33203900", "type": "company", "country": "France"}, {"name": "Gipsa-Lab, Saint-Martin d'H\u00e8res, France", "source_name": "Gipsa-Lab, Saint-Martin d'H\u00e8res, France", "street_adddress": "11 Rue des Math\u00e9matiques, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19344150", "lng": "5.76631150", "type": "edu", "country": "France"}, {"name": "Thales Electron Devices, Moirans, France", "source_name": "TED, Moirans, France", "street_adddress": "460 Rue du Pommarin, 38430 Moirans, France", "lat": "45.31513600", "lng": "5.59701400", "type": "company", "country": "France"}, {"name": "Thales Electron Devices (TED), Moirans, France", "source_name": "Thales Electron Devices (TED), Moirans, France", "street_adddress": "Moirans, France", "lat": "45.32616800", "lng": "5.56472200", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389402", "http://doi.org/10.1109/TMI.2016.2520092", "https://www.ncbi.nlm.nih.gov/pubmed/26812705", "https://www.wikidata.org/entity/Q50726598"]}, {"id": "5fad6815cefa1ea061bf495784899e319724df5a", "title": "Multi-pedestrian Tracking Based on Social Forces", "addresses": [{"name": "Shenyang SIASUN Robot & Automation Co., LTD., China, Shenyang, 110168, China", "source_name": "Shenyang SIASUN Robot & Automation Co., LTD., China, Shenyang, 110168, China", "street_adddress": "Hunnan, Shenyang, Liaoning, China, 110168", "lat": "41.65577260", "lng": "123.49176050", "type": "company", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8535956"]}, {"id": "8fe0a35dc47698b45f3812bb502b0921b349ae56", "title": "Online multi-person tracking via robust collaborative model", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025086", "http://doi.org/10.1109/ICIP.2014.7025086"]}, {"id": "00b543d51bf6d16b4027ded325387518cb7fcfe1", "title": "Tracking Ants Through Occlusions", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}, {"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/00b5/43d51bf6d16b4027ded325387518cb7fcfe1.pdf"], "doi": []}, {"id": "9eb891b89443bdfc8434e4c9e08dda0253fd242c", "title": "Evaluation of Probabilistic Occupancy Map for Player Tracking in Team Sports", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9eb8/91b89443bdfc8434e4c9e08dda0253fd242c.pdf"], "doi": []}, {"id": "94bc017ea8795c774c9dd572ee44673a51dc631f", "title": "Appearance and structural motion context for multi-target tracking in aerial video", "addresses": [{"name": "National University of Defense Technology (NUDT)", "source_name": "National University of Defense Technology (NUDT), Changsha, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7984595"]}, {"id": "5646fb8250f8c900e5f281665089363abcfbac8a", "title": "Hough Forest-based Association Framework with Occlusion Handling for Multi-Target Tracking", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7366745", "http://doi.org/10.1109/LSP.2015.2512878"]}, {"id": "fa8bb8ba04432543a65343bd66b4267ccb8d4d89", "title": "Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects", "addresses": [{"name": "University of Bremen", "source_name": "University of Bremen", "street_adddress": "Bibliothekstra\u00dfe 1, 28359 Bremen, Germany", "lat": "53.10675800", "lng": "8.85204000", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.00840.pdf"], "doi": []}, {"id": "1167136efcb52cf49e89b90949149312bab19cc3", "title": "Multi-camera Pedestrian Tracking using Group Structure", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659023"]}, {"id": "78a77643f8040b3b6630985fe4236a302d73e562", "title": "Strongly connected component multi-object tracking", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7924730"]}, {"id": "4fec93d62355224981ff6323cca962e6989c0b1e", "title": "What makes for good multiple object trackers?", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7868601", "http://doi.org/10.1109/ICDSP.2016.7868601"]}, {"id": "94490145def938ca1f8bb265d10b66924937a367", "title": "Iterative Local Model Selection for tracking and mapping", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9449/0145def938ca1f8bb265d10b66924937a367.pdf"], "doi": []}, {"id": "cdf246d2eb993e80786443a984729b874f958657", "title": "Obstacle avoidance using stereo-based generic obstacle tracking", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8215284", "http://doi.org/10.1109/SBR-LARS-R.2017.8215284"]}, {"id": "2ebcb7d0f013fbc7225dd2305d76ff985b43eeec", "title": "Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking", "addresses": [{"name": "KCIS, IIIT Hyderabad, Robotics Research Center, India", "source_name": "KCIS, IIIT Hyderabad, Robotics Research Center, India", "street_adddress": "17, Old Mumbai Hwy, Vinayak Nagar, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44595810", "lng": "78.34959940", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461018"]}, {"id": "0b7f5d25cd1142b5761194f1ebeeba6780aaabb2", "title": "Estimation of the people position in the world coordinate system for video surveillance", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768816060062"]}, {"id": "a07a894108b5ddc19d18e66e969f47a3b2a6e006", "title": "On-the-Fly Performance Evaluation of Large-Scale Fiber Tracking", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a07a/894108b5ddc19d18e66e969f47a3b2a6e006.pdf"], "doi": []}, {"id": "622d84128caf728a77ecc720de4806592fb96e94", "title": "Detection- Tracking for Efficient Person Analysis: The DetTA Pipeline", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594335"]}, {"id": "5a2578a7acea823d3c8ab30b1658a44cc1f63078", "title": "Online multi-person tracking based on global sparse collaborative representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351235", "http://doi.org/10.1109/ICIP.2015.7351235"]}, {"id": "8566231abd7e5bc71ee0bc0da84b8d76ce07a501", "title": "On The Stability of Video Detection and Tracking", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06467.pdf"], "doi": []}, {"id": "37e0b4055a4915ed0c802eb91ac3a72ceb45aa42", "title": "Simultaneous detection and tracking of pedestrian from panoramic laser scanning data", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-3/295/2016/isprs-annals-III-3-295-2016.pdf"], "doi": ["https://doi.org/10.5194/isprs-annals-III-3-295-2016"]}, {"id": "7af8fa8897c6f1ec1e7f9eadb01f74b48c185588", "title": "Improving Global Multi-target Tracking with Local Updates", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7af8/fa8897c6f1ec1e7f9eadb01f74b48c185588.pdf"], "doi": []}, {"id": "3196d8797d600c98d49ea76ccc5dadd5a96e407a", "title": "Collaboration and spatialization for an efficient multi-person tracking via sparse representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301757"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "5417ec4aa67a2b00e4dc4b86a5ef6ddf0b9cdb3d", "title": "Adaptive visual target detection and tracking using incremental appearance learning", "addresses": [{"name": "Shiraz University", "source_name": "Shiraz University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0634\u06cc\u0631\u0627\u0632, \u0645\u06cc\u062f\u0627\u0646 \u0627\u0631\u0645, \u0645\u062d\u062f\u0648\u062f\u0647 \u0634\u0647\u0631\u062f\u0627\u0631\u06cc \u0645\u0646\u0637\u0642\u0647 \u06cc\u06a9 - \u0634\u0647\u0631\u062f\u0627\u0631\u06cc \u0634\u06cc\u0631\u0627\u0632, \u0634\u06cc\u0631\u0627\u0632, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0634\u06cc\u0631\u0627\u0632, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0634\u06cc\u0631\u0627\u0632, \u0627\u0633\u062a\u0627\u0646 \u0641\u0627\u0631\u0633, 71348-34689, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "29.63854740", "lng": "52.52457060", "type": "edu", "country": "Iran"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350958", "http://doi.org/10.1109/ICIP.2015.7350958"]}, {"id": "1ed39db202e606f25aff93f3e4fe135283a50cc2", "title": "Video text detection and recognition: Dataset and benchmark", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2014/09/VideoTextWACV.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836024", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836024", "http://doi.org/10.1109/WACV.2014.6836024"]}, {"id": "07ea8df90f4bf47d24a42aaec3f9b282582e200e", "title": "Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments : Thermal versus Visible Spectrum Video-Based Systems", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}, {"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/07ea/8df90f4bf47d24a42aaec3f9b282582e200e.pdf"], "doi": []}, {"id": "d80f1af929b507593c06442c6ad93e381b40283d", "title": "Labeled multi-Bernoulli track-before-detect for multi-target tracking in video", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7266714", "http://ieeexplore.ieee.org/document/7266714/"]}, {"id": "9829848932525928e5b06a8505dba2edda22c569", "title": "Object modeling and trajectory estimations for traffic analysis", "addresses": [{"name": "University of Bordeaux", "source_name": "UMR 5800, LaBRI, Talence, France", "street_adddress": "Domaine universitaire, 351, cours de la Lib\u00e9ration, 33405 Talence, France", "lat": "44.80837500", "lng": "-0.59670500", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351296", "http://doi.org/10.1109/ICIP.2015.7351296"]}, {"id": "ed0b765d4a477240a5c221c8b05dcc7e3abefd4f", "title": "Comparison and Analysis of Recursive-RANSAC for Multiple Target Tracking", "addresses": [{"name": "Brigham Young University", "source_name": "Brigham Young University, Provo, USA", "street_adddress": "Provo, UT 84602, USA", "lat": "40.25184350", "lng": "-111.64931560", "type": "edu", "country": "United States"}, {"name": "Raytheon Missile Systems, Tucson, USA", "source_name": "Raytheon Missile Systems, Tucson, USA", "street_adddress": "1151 E Hermans Rd, Tucson, AZ 85756, USA", "lat": "32.10536830", "lng": "-110.95133450", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7812590", "http://doi.org/10.1109/TAES.2017.2650818"]}, {"id": "11a1e99fc65fb8567d7f52dce941231ea949db0a", "title": "Subgraph decomposition for multi-target tracking", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/355/tangCVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_064.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_064_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299138", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299138", "http://doi.org/10.1109/CVPR.2015.7299138"]}, {"id": "0d687fb6e1a54abf022990ace6c8f901be9f85e8", "title": "Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "University of Applied Sciences Aschaffenburg", "source_name": "Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany, Germany", "street_adddress": "W\u00fcrzburger Str. 45, 63743 Aschaffenburg, Germany", "lat": "49.97119610", "lng": "9.16056230", "type": "edu", "country": "Germany"}, {"name": "University of Kassel", "source_name": "University of Kassel, Kassel, Germany", "street_adddress": "M\u00f6nchebergstra\u00dfe 19, 34125 Kassel, Germany", "lat": "51.32281900", "lng": "9.50735310", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569267"]}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "1a660d8576ed749610e0e040076d27973aee44ee", "title": "Tracking by Identification Using Computer Vision and Radio", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1a66/0d8576ed749610e0e040076d27973aee44ee.pdf"], "doi": []}, {"id": "dacf0682d0a58af9b5dcfe15243f30aaa2d94a34", "title": "Joint Individual-Group Modeling for Tracking", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/PAMI14_Cristani.pdf", "https://iris.univr.it/retrieve/handle/11562/932903/26873/Bazzanietal_PAMI14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6891328", "http://doi.org/10.1109/TPAMI.2014.2353641", "https://www.ncbi.nlm.nih.gov/pubmed/26353291", "https://www.wikidata.org/entity/Q40558275"]}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "e7a8549865978b478699647bd259f71c516c4479", "title": "Multiple People Tracking-by-Detection in a Multi-camera Environment", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e7a8/549865978b478699647bd259f71c516c4479.pdf"], "doi": []}, {"id": "0e56ba97ea6eac96c57ad4773af88a22d44f41b6", "title": "Online multiple object tracking with the hierarchically adopted GM-PHD filter using motion and appearance", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7804800"]}, {"id": "88d84fb1aab19f756c9d839e2a473834ae4b68b5", "title": "CNN-detector-based multiple homogeneous objects tracking under stochastic wide-range occlusions", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309072", "http://doi.org/10.1109/GlobalSIP.2017.8309072"]}, {"id": "081f0ff96de80b4a29d9f52e6e058bb9482efc2a", "title": "Probability occupancy maps for occluded depth images", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_066.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_066_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_066_ext.pdf", "http://www.idiap.ch/~fleuret/papers/bagautdinov-et-al-cvpr2015.pdf", "https://infoscience.epfl.ch/record/206218/files/bagautdinov.dpom.2015.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298900", "http://doi.org/10.1109/CVPR.2015.7298900"]}, {"id": "8ae88dc7ba177128f89223f48921e3a74d8bf1ff", "title": "Person re-identification in TV series using robust face recognition and user feedback", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-010-0603-2"]}, {"id": "70b23c6d8c713f5663603343b19ea5873b6696cc", "title": "Machine learning in tracking associations with stereo vision and lidar observations for an autonomous vehicle", "addresses": [{"name": "VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Universit\u00e0 degli Studi di Parma, Italy", "source_name": "VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Università degli Studi di Parma, Italy", "street_adddress": "Parco Area delle Scienze, 49, 43124 Parma PR, Italy", "lat": "44.76640040", "lng": "10.30531800", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535456", "http://doi.org/10.1109/IVS.2016.7535456"]}, {"id": "0afc4ce1ec16ef0a9ebb255004348720e0fe8c64", "title": "Real-Time Lexicon-Free Scene Text Localization and Recognition", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": ["http://cmp.felk.cvut.cz/~neumalu1/Neumann_TPAMI2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313008", "http://doi.org/10.1109/TPAMI.2015.2496234", "https://www.ncbi.nlm.nih.gov/pubmed/26540676", "https://www.wikidata.org/entity/Q50779056"]}, {"id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "title": "Tracking Multiple People Online and in Real Time", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "doi": []}, {"id": "4c6ffe1cc479d86adf5126174900e2f23afb22a9", "title": "Tracking multiple people under global appearance constraints", "addresses": [{"name": "CVLab, EPFL, Lausanne, Switzerland", "source_name": "CVLab, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["https://infoscience.epfl.ch/record/167889/files/Tracking_Multiple_People_under_Global_Appearance_Constraints.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126235", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126235", "http://doi.org/10.1109/ICCV.2011.6126235"]}, {"id": "c858c74d30c02be2d992f82a821b925669bfca13", "title": "Computer Vision \u2013 ECCV 2014", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "source_name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-10605-2", "https://doi.org/10.1007/978-3-319-10605-2"]}, {"id": "a91c74e3bdbc560653e25fdb02d337a8d20186f4", "title": "Multiple Human Tracking in RGB-D Data: A Survey", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.04450.pdf"], "doi": []}, {"id": "0d08ab78ce86e053ff3003aef951a5174d56beb8", "title": "A Thermal Infrared Video Benchmark for Visual Analysis", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/PBVS2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-PBVS-2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuFullerTheriaultBetke-PBVS-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Wu_A_Thermal_Infrared_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.39", "http://doi.org/10.1109/CVPRW.2014.39"]}, {"id": "998b6a419e5ad9ed5b9e83ed43ee9688878505f1", "title": "Robust multi-target tracking in outdoor traffic scenarios via persistence topology based robust motion segmentation", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418308", "http://doi.org/10.1109/GlobalSIP.2015.7418308"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "d0fbebf278b7e4f10a25e583743080a57b2b3f3a", "title": "Online multi-target tracking via depth range segmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China", "source_name": "Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China", "street_adddress": "6 Kexueyuan S Rd, Haidian Qu, China, 100080", "lat": "39.98186800", "lng": "116.32686600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309048", "http://doi.org/10.1109/GlobalSIP.2017.8309048"]}, {"id": "db640eddc51258cf6b11e442745d9a4bd5d6995b", "title": "Simple Baselines for Human Pose Estimation and Tracking", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06208.pdf"], "doi": []}, {"id": "a9721f9680bb21a0849a912ed24eec9ba50def9e", "title": "Benchmarking face tracking", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/a972/1f9680bb21a0849a912ed24eec9ba50def9e.pdf"], "doi": []}, {"id": "6e17c16fda71e8cd7abcf5b52b7f6438a69d9958", "title": "Integrating Social Grouping for Multitarget Tracking Across Cameras in a CRF Model", "addresses": [{"name": "University of California at Riverside", "source_name": "University of California at Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467546", "http://doi.org/10.1109/TCSVT.2016.2565978"]}, {"id": "166e7fd811d104254155c90506f2f7e77947534c", "title": "Hidden Hands: Tracking Hands with an Occlusion Aware Tracker", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/Rangesh_Hidden_Hands_Tracking_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w21/papers/Rangesh_Hidden_Hands_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789645", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.155", "http://doi.org/10.1109/CVPRW.2016.155"]}, {"id": "b6cff4ba590eab964bc49e079ed1a72a49d9e3e3", "title": "Multiple object tracking based on motion segmentation of point trajectories", "addresses": [{"name": "CERTH/ITI, Thessaloniki, Greece", "source_name": "CERTH/ITI, Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}, {"name": "ECE/UPATRAS, Patras, Greece", "source_name": "ECE/UPATRAS, Patras, Greece", "street_adddress": "Panepistimioupoli Patron 265 04, Greece", "lat": "38.28833560", "lng": "21.78864870", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": ["http://www.satisfactory-project.eu/satisfactory/wp-content/uploads/2016/08/AVSS_paper_stavropoulos.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738057", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738057", "http://doi.org/10.1109/AVSS.2016.7738057"]}, {"id": "3803a2cffe6866600e0727cec6b0d8fe66d97728", "title": "A Public Video Dataset for Road Transportation Applications", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0835/775c75f1bbfc3316695c7cba9a1d5ee28a12.pdf"], "doi": []}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "4280c600ef8621b6bed27e729cd23535ddd6b5c7", "title": "Dense Multiperson Tracking with Robust Hierarchical Linear Assignment", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6892983"]}, {"id": "321d1f8d13075275b207dd048e9b655aa8846d57", "title": "Thermal Tracking of Sports Players", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/321d/1f8d13075275b207dd048e9b655aa8846d57.pdf"], "doi": []}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "8e679b8f165b46521c76a766ddfb538fa90d3f94", "title": "Audio Assisted Robust Visual Tracking With Adaptive Particle Filtering", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/809042/1/KilicBWK_TMM_2014_postprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975225", "http://doi.org/10.1109/TMM.2014.2377515"]}, {"id": "eb0cf5727275f89323e2cbb4c0f0515b8ece75f8", "title": "A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera", "addresses": [{"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/eb0c/f5727275f89323e2cbb4c0f0515b8ece75f8.pdf"], "doi": []}, {"id": "4b2bafe419e5b40f667601f112c6f6cf8a7c86e3", "title": "Learning to Track Multiple Targets", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6855348", "http://doi.org/10.1109/TNNLS.2014.2333751", "https://www.ncbi.nlm.nih.gov/pubmed/25051561", "https://www.wikidata.org/entity/Q46145646"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "557890cef6e9285909904fa141ccddddc0da90dd", "title": "Target Identity-aware Network Flow for online multiple target tracking", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/projects/TINF/CVPR15_TINF_Poster.pdf", "http://crcv.ucf.edu/papers/cvpr2015/AfshinDehghan_TINF_CVPR15.pdf", "http://crcv.ucf.edu/people/phd_students/afshin//papers/Afshin_Dehghan_TINF_CVPR15.pdf", "http://crcv.ucf.edu/projects/TINF/CVPR15_TINF_Poster.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_004.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_004_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Dehghan_Target_Identity-Aware_Network_2015_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2015/MOT_SSVM_CVPR15_V7_CamReady.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298718", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298718", "http://doi.org/10.1109/CVPR.2015.7298718"]}, {"id": "29875d51da4063707a5e16a90493c69be6fcc006", "title": "UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Intel, Nizhny Novgorod, Russia", "source_name": "Intel, Nizhny Novgorod, Russia", "street_adddress": "Ulitsa Turgeneva, 30, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603024", "lat": "56.31949820", "lng": "44.04123880", "type": "edu", "country": "Russia"}, {"name": "Iowa State University", "source_name": "Iowa State University", "street_adddress": "Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA", "lat": "42.02791015", "lng": "-93.64464415", "type": "edu", "country": "United States"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "National Electronics and Computer Technology Center, Thailand", "source_name": "National Electronics and Computer Technology Center, Thailand", "street_adddress": "112 \u0e2d\u0e38\u0e17\u0e22\u0e32\u0e19\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c \u0e16\u0e19\u0e19\u0e1e\u0e2b\u0e25\u0e42 \u0e22\u0e18\u0e34\u0e19 Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07778590", "lng": "100.60131310", "type": "edu", "country": "Thailand"}, {"name": "National Research Council, Italy", "source_name": "National Research Council, Italy", "street_adddress": "Research Private, Ottawa, ON K1V, Canada", "lat": "45.32909590", "lng": "-75.66198580", "type": "edu", "country": "Canada"}, {"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "Technische Universit\u00e4t Berlin, Germany", "source_name": "Technische Universit\u00e4t Berlin, Germany", "street_adddress": "Stra\u00dfe des 17. Juni 135, 10623 Berlin, Germany", "lat": "52.51253220", "lng": "13.32694460", "type": "edu", "country": "Germany"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078560", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078560", "http://doi.org/10.1109/AVSS.2017.8078560"]}, {"id": "2972997fad77516bbae27fdafc0bb44f0708e806", "title": "Coupling Reranking and Structured Output SVM Co-Train for Multitarget Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.jdl.ac.cn/doc/2011/20171141245037683_coupling%20reranking%20and%20structured%20output%20svm%20co-train%20for%20multitarget%20tracking-tcsvt2016%20yingkun%20xu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7108030", "http://doi.org/10.1109/TCSVT.2015.2433173"]}, {"id": "5e8677eb21c3a5d24c52bcb93404416f7eeebc31", "title": "Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information : Object Tracking under Occlusion", "addresses": [{"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5e86/77eb21c3a5d24c52bcb93404416f7eeebc31.pdf"], "doi": []}, {"id": "f09bcd575c8bea73dcfb413840fb14d6a4caa4a8", "title": "Robust multi-object tracking using confident detections and safe tracklets", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351078", "http://doi.org/10.1109/ICIP.2015.7351078"]}, {"id": "ffc02195ad8eeafa955680b128b99ebccf4b0a91", "title": "A non-command interface for automatic document provision during meetings", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2559191"]}, {"id": "159afb7fb0740f0b48b812ed5183c2229089044d", "title": "A comparative study on multi-person tracking using overlapping cameras", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://gavrila.net/Publications/icvs13.pdf", "http://workshops.acin.tuwien.ac.at/ICVS//downloads/Orals3_ICVS13_paper_id_35_Dariu_Gavrila.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-39402-7_21"]}, {"id": "39b741be40e093f92519cd15cd2deb6e114d6200", "title": "Joint Probabilistic Data Association Revisited", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Rezatofighi_Joint_Probabilistic_Data_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Rezatofighi_Joint_Probabilistic_Data_ICCV_2015_paper.pdf", "http://www.milanton.de/files/iccv2015/iccv2015-hamid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410706", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.349", "http://doi.org/10.1109/ICCV.2015.349"]}, {"id": "60538302d064da95128f19b06413f0a16f5552d2", "title": "A Robust Online Multi-Face Tracking System", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8534679"]}, {"id": "4dbdf48318339a7ce06317137e7aa664ead783ab", "title": "Multiple object tracking based on sparse generative appearance modeling", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.polymtl.ca/litiv/doc/RiahiBilodeauICIP2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351560", "http://doi.org/10.1109/ICIP.2015.7351560"]}, {"id": "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "title": "Crowd Tracking by Group Structure Evolution", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583654", "http://doi.org/10.1109/TCSVT.2016.2615460"]}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "21ad377aeb6ff099c5a59fa82cec95b0bba177bb", "title": "MCMC particle filter-based vehicle tracking method using multiple hypotheses and appearance model", "addresses": [{"name": "Daegu Gyeongbuk Institute of Science & Technology, Korea", "source_name": "Division of Advanced Industrial Science and Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5 floor, 3 research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Republic of Korea", "street_adddress": "223 Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, South Korea", "lat": "35.70270780", "lng": "128.45462720", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6629618", "http://doi.org/10.1109/IVS.2013.6629618"]}, {"id": "2dd3dff173686d66af70e7180fabd8755dd1307d", "title": "Coupling detection and data association for multiple object tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/courses/CAP6412/Spring2013/papers/Wu-tracking-CVPR2012.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012-gray.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-CVPR-2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247896", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247896", "http://doi.org/10.1109/CVPR.2012.6247896"]}, {"id": "32b9be86de4f82c5a43da2a1a0a892515da8910d", "title": "Robust False Positive Detection for Real-Time Multi-target Tracking", "addresses": [{"name": "University of the West of Scotland", "source_name": "University of the West of Scotland", "street_adddress": "Stephenson Place Hamilton International Technology Park Blantyre, Glasgow G72 0LH, United Kingdom", "lat": "55.77824740", "lng": "-4.10409880", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://users.informatik.haw-hamburg.de/~ubicomp/arbeiten/papers/ICISP2014.pdf", "https://pdfs.semanticscholar.org/32b9/be86de4f82c5a43da2a1a0a892515da8910d.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-07998-1_52"]}, {"id": "e1f815c50a6c0c6d790c60a1348393264f829e60", "title": "PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e1f8/15c50a6c0c6d790c60a1348393264f829e60.pdf"], "doi": []}, {"id": "3b8f605c86007f7f22131e7c31ca5c327304589f", "title": "A variational approach to simultaneous tracking and classification of multiple objects", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://www.researchgate.net/profile/Victor_Romero-Cano/publication/262676886_A_Variational_Approach_to_Simultaneous_Tracking_and_Classification_of_Multiple_Objects/links/0a85e5386c2fe3ad41000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6916163", "http://ieeexplore.ieee.org/document/6916163/"]}, {"id": "9355b789dac162ad50c31cdf5d9a196cdc09828e", "title": "Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://escholarship.org/content/qt9w2556kz/qt9w2556kz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467456", "http://doi.org/10.1109/TCSVT.2016.2565998"]}, {"id": "8432cae0d463b46980dc3ba585affaaca90d1072", "title": "Joint tracking and gait recognition of multiple people in video", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296751", "http://doi.org/10.1109/ICIP.2017.8296751"]}, {"id": "075d9baf2ac827327a5fe63bb1f873c4f54f95df", "title": "Robust multi-pose face tracking by multi-stage tracklet association", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://vision.unipv.it/VA/VA-En/TEST/Rendering/Face%20tracking.pdf", "https://cvhci.anthropomatik.kit.edu/~baeuml/downloads/Roth2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460307", "http://ieeexplore.ieee.org/document/6460307/"]}, {"id": "7e02b0bce72a88f2f70b199c5dc87a01fe217832", "title": "Learning Multi-target Tracking with Quadratic Object Interactions", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.2066.pdf"], "doi": []}, {"id": "5df0fed3b37ffac6d0ae7c0a3ccce41c7044e8e8", "title": "Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Groupwise_Tracking_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yu_Groupwise_Tracking_of_CVPR_2016_paper.pdf", "https://cse.sc.edu/~songwang/document/cvpr16.pdf", "https://cvl.cse.sc.edu/Download/2016-Symposium-Hongkai.pdf", "https://cvl.cse.sc.edu/project/cvpr2016_files/1791.pdf", "https://cvl.cse.sc.edu/project/cvpr2016_files/cvpr16-poster-1791.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780478", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.109", "http://doi.org/10.1109/CVPR.2016.109"]}, {"id": "f9f34a0558a58720e1aa55421ff7583f049208a4", "title": "A hierarchical feature model for multi-target tracking", "addresses": [{"name": "Hainan University", "source_name": "Hainan University, China", "street_adddress": "China, \u7b2c\u4e00\u98df\u58022\u697c", "lat": "20.06199000", "lng": "110.32874000", "type": "edu", "country": "China"}, {"name": "Norwegian University of Science and Technology", "source_name": "Norwegian University of Science and Technology, Trondheim, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296755", "http://doi.org/10.1109/ICIP.2017.8296755"]}, {"id": "d5c14e768f91e97c16d6aeac8b108458d3eb8004", "title": "Hyper-parameter optimization tools comparison for multiple object tracking applications", "addresses": [{"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0984-1"]}, {"id": "6e32c368a6157fb911c9363dc3e967a7fb2ad9f7", "title": "Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8268/d68f6aa510a765466b2c7f2ba2ea34a48c51.pdf"], "doi": []}, {"id": "4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc", "title": "Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking", "addresses": [{"name": "University of Colorado, Denver", "source_name": "University of Colorado Denver", "street_adddress": "University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA", "lat": "39.74287785", "lng": "-105.00596398", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02143.pdf"], "doi": []}, {"id": "afa24eb881c7011e851f8a12dea32a7293cffefa", "title": "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2282-z", "https://www.wikidata.org/entity/Q57714766"]}, {"id": "529b933b0dc9c657cf829fd9bb7ff7c47d5e6d19", "title": "Integrating crowd simulation for pedestrian tracking in a multi-camera system", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2012/Integrating%20Crowd%20Simulation%20for%20Pedestrian12.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/IntegratingCrowdSimulationforPedestrianTracking14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6470157", "http://ieeexplore.ieee.org/document/6470157/"]}, {"id": "2731da4a48291640b2698cd5909c283484db10c3", "title": "Multiple object tracking by incorporating a particle filter into the min-cost flow model", "addresses": [{"name": "Harbin Institute of Technology (Shenzhen)", "source_name": "Harbin Institute of Technology (Shenzhen)", "street_adddress": "China, Guangdong, Shenzhen, Nanshan, \u5e73\u5c71\u4e00\u8def", "lat": "22.58675200", "lng": "113.96878000", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304259"]}, {"id": "e37c8e2823cc3429caca4420f19adf329c62d313", "title": "Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10256.pdf"], "doi": []}, {"id": "d5bbfef5511d215bd3d3cfee3926d313d48c3001", "title": "Online Multi-Object Tracking Using Hierarchical Constraints for Complex Scenarios", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8064178", "http://doi.org/10.1109/TITS.2017.2750058"]}, {"id": "0b79f0999eab1e2ac586a97dfc9a71809e7ab262", "title": "Joint Modeling of Algorithm Behavior and Image Quality for Algorithm Performance Prediction", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/1084/2cc3dd5f6685cbba3f06504c3bafa88ddffc.pdf"], "doi": []}, {"id": "14bfa18bc0a9eaf28732948813c764390c80acc4", "title": "Joint operator detection and tracking for person following from mobile platforms", "addresses": [{"name": "University of Koblenz-Landau", "source_name": "Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany", "street_adddress": "Rhabanusstra\u00dfe 3, 55118 Mainz, Germany", "lat": "50.00335000", "lng": "8.25958700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://www.uni-koblenz.de/~agas/Documents/Wojke2017JOD.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8009746", "http://doi.org/10.23919/ICIF.2017.8009746"]}, {"id": "62dc594c1eac220d2116506d187d9fdd5ff8e795", "title": "Robust multi-view pedestrian tracking using neural networks", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06370.pdf"], "doi": []}, {"id": "189ff58190c6ef1ff49b46f5c68a7b124b9b0059", "title": "Online Multi-target Tracking using Recurrent Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03635.pdf"], "doi": []}, {"id": "4adb3fb481d5ec33d6161d780162b616ab6c44e2", "title": "Joint Multi-View People Tracking and Pose Estimation for 3D Scene Reconstruction", "addresses": [{"name": "University of Washington (UW)", "source_name": "University of Washington (UW)", "street_adddress": "Seattle, WA 98195, USA", "lat": "47.65533510", "lng": "-122.30351990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486576", "http://doi.ieeecomputersociety.org/10.1109/ICME.2018.8486576", "http://doi.org/10.1109/ICME.2018.8486576"]}, {"id": "b40622567165b372a6e15928ab5ed41413d1d50d", "title": "Object detection and tracking using multi-layer laser for autonomous urban driving", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795564", "http://doi.org/10.1109/ITSC.2016.7795564"]}, {"id": "413f4e770cd05fb382d8ceb4f33cd2726f34b9b3", "title": "Multi-person tracking by discriminative affinity model and hierarchical association", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322838"]}, {"id": "8d7451f5c5849cb0397c3ec8cd7e2081b5d9421d", "title": "Multi-target & multi-detector people tracker for mobile robots", "addresses": [{"name": "Beta Robots, Barcelona, Catalunya, Spain", "source_name": "Beta Robots, Barcelona, Catalunya, Spain", "street_adddress": "Passeig dels Til\u00b7lers, 44, 08520 Corr\u00f3 d'Avall, Barcelona, Spain", "lat": "41.63195600", "lng": "2.29888400", "type": "edu", "country": "Spain"}, {"name": "PAL Robotics, Barcelona, Catalunya, Spain", "source_name": "PAL Robotics, Barcelona, Catalunya, Spain", "street_adddress": "4\u00ba 4\u00aa, Carrer de Pujades, 77, 08005 Barcelona, Spain", "lat": "41.39680080", "lng": "2.19395650", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/83919/1729-Multi-Target---Multi-Detector-People-Tracker-for-Mobile-Robots.pdf;jsessionid=7053C51C7D796486A19C7EAA2CD4887F?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7324223", "http://doi.org/10.1109/ECMR.2015.7324223"]}, {"id": "0f7fdd7f98ee5fbfa7d293e0f1fa399b7a4ec13a", "title": "Two-Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking under Occlusions", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0f7f/dd7f98ee5fbfa7d293e0f1fa399b7a4ec13a.pdf"], "doi": []}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "6eafa9a536d10b460f780e07c0052e7c246059e7", "title": "Automatic individual pig detection and tracking in surveillance videos", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04901.pdf"], "doi": []}, {"id": "f25ad1aa804dd6f7cfb9b02afa371fe1b9bf4378", "title": "Sentioscope: A Soccer Player Tracking System Using Model Field Particles", "addresses": [{"name": "Bilkent University", "source_name": "Bilkent University", "street_adddress": "Bilkent \u00dcniversitesi, 3. Cadde, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87204890", "lng": "32.75395155", "type": "edu", "country": "Turkey"}, {"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7156105", "http://doi.org/10.1109/TCSVT.2015.2455713"]}, {"id": "fe3208c3fd29876fc17a782a2f4f1bf3891bae0e", "title": "Multi-object tracking via MHT with multiple information fusion in surveillance video", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-014-0361-5"]}, {"id": "203abfcc3df8de6606cf34fa32cf225627f52d00", "title": "Learning Robot Vision for Assisted Living", "addresses": [{"name": "University of Alicante", "source_name": "University of Alicante, Alicante, Spain", "street_adddress": "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "lat": "38.38524460", "lng": "-0.51431610", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/203a/bfcc3df8de6606cf34fa32cf225627f52d00.pdf"], "doi": []}, {"id": "25dbf9b12475454585d5050c5cf446e1c4f6dd27", "title": "Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "LiberoVision AG, Zurich", "source_name": "LiberoVision AG, Zurich", "street_adddress": "Technoparkstrasse 1, 8005 Z\u00fcrich, Switzerland", "lat": "47.39029470", "lng": "8.51517680", "type": "company", "country": "Switzerland"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://www.mmp.rwth-aachen.de/publications/pdf/breitenstein-trackingbydetection-pami11.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_00761.pdf", "http://www.vision.rwth-aachen.de/media/papers/breitenstein-trackingbydetection-pami11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5674059", "http://doi.org/10.1109/TPAMI.2010.232", "https://www.ncbi.nlm.nih.gov/pubmed/21173441", "https://www.wikidata.org/entity/Q50690740"]}, {"id": "5be6226f1fa0c3a6f5be829b00f484582d531b6f", "title": "Online multi-model particle filter-based tracking to study bedload transport", "addresses": [{"name": "Universit\u00e9 Grenoble Alpes, France", "source_name": "Université Grenoble Alpes, Irstea, UR ETGR F-38402 St-Martin-d'Hères, France", "street_adddress": "Universit\u00e9 Grenoble Alpes, 1491 Rue des R\u00e9sidences, 38610 Saint-Martin-d'H\u00e8res, France", "lat": "45.19061570", "lng": "5.77493560", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Lyon, UJM-Saint-\u00c9tienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-\u00c9tienne, France", "source_name": "Université de Lyon, UJM-Saint-Étienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-Étienne, France", "street_adddress": "Lyon, France", "lat": "45.76404300", "lng": "4.83565900", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533008", "http://doi.org/10.1109/ICIP.2016.7533008"]}, {"id": "3c307cddf2bf84b4abcc96a362fe385c2d891c9b", "title": "A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7810052"]}, {"id": "71d3ed17c0642234a921bb45fcadd86520794941", "title": "Learning by Tracking: Siamese CNN for Robust Target Association", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07866.pdf"], "doi": []}, {"id": "78f4e29fafad7a0156cff6d14e9b92c8b8533d4c", "title": "Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/CVPR2014/Lywen-CVPR-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Wen_Multiple_Target_Tracking_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909563", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.167", "http://doi.org/10.1109/CVPR.2014.167"]}, {"id": "bb5855056f9a7e4c8f945bd965526302fb5db254", "title": "Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016", "addresses": [{"name": "Harvard Medical School , Boston, USA", "source_name": "Harvard Medical School , Boston, USA", "street_adddress": "25 Shattuck St, Boston, MA 02115, USA", "lat": "42.33563110", "lng": "-71.10411910", "type": "edu", "country": "United States"}, {"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.beck-shop.de/fachbuch/inhaltsverzeichnis/9783540651369_TOC_001.pdf", "https://pdfs.semanticscholar.org/bb58/55056f9a7e4c8f945bd965526302fb5db254.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46720-7"]}, {"id": "ddca5c18415bb855e76f9f459747685ee9c23a4d", "title": "MSMCT: Multi-State Multi-Camera Tracker", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048028", "http://doi.org/10.1109/TCSVT.2017.2755038"]}, {"id": "a8123a4e68642b602b5094f2f670ed7aefdd2f58", "title": "Online Video Object Detection Using Association LSTM", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Lu__Online_Video_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237519", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.257", "http://doi.org/10.1109/ICCV.2017.257"]}, {"id": "e3cc5d86b2032d01c1b40de0da3b7f4458c9c0ee", "title": "Globally Consistent Multi-People Tracking using Motion Patterns", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00604.pdf"], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "5055ec9531d57c6b32e5d122b04602e7441459a3", "title": "Accelerated People Tracking using Texture in a Camera Network", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://www.macs.hw.ac.uk/~greg/publications/lwm.visapp12.pdf", "http://www.scitepress.org/Papers/2012/38138/38138.pdf"], "doi": ["https://doi.org/10.5220/0003813802250234"]}, {"id": "7202235dd82965b4bf18216040e40433f96274cf", "title": "Interacting Tracklets for Multi-Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8370670", "http://doi.org/10.1109/TIP.2018.2843129", "https://www.ncbi.nlm.nih.gov/pubmed/29993548"]}, {"id": "63dd47f7ccf4bb22c1e308b263ec65ae382c86ce", "title": "Multiple target tracking and stationary object detection in video with Recursive-RANSAC and tracker-sensor feedback", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7152426"]}, {"id": "bbdc66937d1ebd5cbde36f3fe8051e168bd69603", "title": "Fluorosocopic sequence denoising using a motion compensated multi-scale temporal filtering", "addresses": [{"name": "Gipsa-lab: CNRS; Universit\u00e9 de Grenoble-Alpes, Saint-Martin-d'H\u00e8res, France", "source_name": "Gipsa-lab: CNRS; Université de Grenoble-Alpes, Saint-Martin-d'Hères, France", "street_adddress": "11 Rue des Math\u00e9matiques, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19344150", "lng": "5.76631150", "type": "edu", "country": "France"}, {"name": "Thales, Moirans, France", "source_name": "Thales, Moirans, France", "street_adddress": "460 Rue du Pommarin, 38430 Moirans, France", "lat": "45.31513600", "lng": "5.59701400", "type": "company", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350887", "http://doi.org/10.1109/ICIP.2015.7350887"]}, {"id": "ba6aec7f1b17833e7983809926a90951469f5520", "title": "People perception from RGB-D cameras for mobile robots", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7419070", "http://doi.org/10.1109/ROBIO.2015.7419070"]}, {"id": "1d8a522bbfddfe86951ea7605c7df058b2c2e1b0", "title": "Video tracking through occlusions by fast audio source localisation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738548", "http://doi.org/10.1109/ICIP.2013.6738548"]}, {"id": "1da09ba7340c77b3f943c15f80ff40f6f9d14eeb", "title": "MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos", "addresses": [{"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2010", "pdf": ["https://arxiv.org/pdf/1406.5095.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "fd23492e0db72f849502d74cf8893c9e70f35678", "title": "Winter 12-1-2011 Detection-assisted Object Tracking by Mobile Cameras", "addresses": [{"name": "University of Nebraska - Lincoln", "source_name": "University of Nebraska - Lincoln", "street_adddress": "Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA", "lat": "40.81747230", "lng": "-96.70444680", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fd23/492e0db72f849502d74cf8893c9e70f35678.pdf"], "doi": []}, {"id": "90c316d4c4bdc94908e68bbe46dd6c90a88e847f", "title": "Global tracker: An online evaluation framework to improve tracking quality", "addresses": [{"name": "INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France", "source_name": "INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/JulienAVSS14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918639", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918639", "http://doi.org/10.1109/AVSS.2014.6918639"]}, {"id": "22d8d50911c6b8994f624267677cf736be3c5a8e", "title": "Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296461", "http://doi.org/10.1109/ICIP.2017.8296461"]}, {"id": "83d0b7100ddce32e37af72585f9aa4181e6447e3", "title": "Online Social Behavior Modeling for Multi-target Tracking", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W22/papers/Zhang_Online_Social_Behavior_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595957", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.113", "http://doi.org/10.1109/CVPRW.2013.113"]}, {"id": "4822c1bf765cf99193a231c000c19ae5d0c10a00", "title": "Multi-object Tracking via Constrained Sequential Labeling", "addresses": [{"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://web.engr.oregonstate.edu/~afern/papers/cvpr14_tracking.pdf", "http://web.engr.oregonstate.edu/~sinisa/research/publications/cvpr14_tracking.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Multi-Object_Tracking_via_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909544", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.148", "http://doi.org/10.1109/CVPR.2014.148"]}, {"id": "a308ad39f3cc25096f493280319621a25c2c7f46", "title": "Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/63af/fa01d5b89d5d7faf89ca8155b88a3ba38759.pdf"], "doi": []}, {"id": "04c96e9b3b7ff1e293aa4a650ce4b49ebf7bd5d6", "title": "Tracking with local spatio-temporal motion patterns in extremely crowded scenes", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://www.cs.drexel.edu/~kon/publication/LKratz_CVPR10.pdf", "https://www.cs.drexel.edu/~kon/publication/LKratz_CVPR10_preprint.pdf", "https://www.cs.drexel.edu/~kon/pubs/LKratz_CVPR10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540149", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2010.5540149", "http://doi.org/10.1109/CVPR.2010.5540149"]}, {"id": "9458642e7645bfd865911140ee8413e2f5f9fcd6", "title": "Efficient Multiple People Tracking Using Minimum Cost Arborescences", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9458/642e7645bfd865911140ee8413e2f5f9fcd6.pdf"], "doi": []}, {"id": "a8f92b47df845b437dbf10b828a742006b75fd27", "title": "Flexible tracklet association for complex scenarios using a Markov Logic Network", "addresses": [{"name": "ONERA, Palaiseau, France", "source_name": "ONERA - The French Aerospace Lab, F-91761 Palaiseau, France", "street_adddress": "8 Chemin de la Huni\u00e8re, 91120 Palaiseau, France", "lat": "48.71467230", "lng": "2.23270940", "type": "edu", "country": "France"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130476", "http://doi.org/10.1109/ICCVW.2011.6130476"]}, {"id": "e5705294bb58bda55f32dfaf6f9783748f0cd7a8", "title": "Random finite set for data association in multiple camera tracking", "addresses": [{"name": "Institute for Infocomm Research, Singapore", "source_name": "Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2011", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202011/pdfs/0001357.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5946664", "http://doi.org/10.1109/ICASSP.2011.5946664"]}, {"id": "bb94a76badb69fd3d11de69f7a09518eca36ca5e", "title": "Occlusion handling for online visual tracking using labeled random set filters", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217567", "http://doi.org/10.1109/ICCAIS.2017.8217567"]}, {"id": "699797728e0e88f9821647dee2c40b86931c1f77", "title": "Online Multi-target Tracking with Strong and Weak Detections", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6997/97728e0e88f9821647dee2c40b86931c1f77.pdf"], "doi": []}, {"id": "76808ece9a138a8df2a28962bf1563208dbde6a3", "title": "V3I-STAL: Visual Vehicle-to-Vehicle Interaction via Simultaneous Tracking and Localization", "addresses": [{"name": "San Diego State University", "source_name": "San Diego State University, San Diego, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77572170", "lng": "-117.07188930", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2964285"]}, {"id": "591a4dddbebd3d3ce3d86f9910be40aafcb73a90", "title": "Multi-Person Tracking by Multicut and Deep Matching", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05404.pdf"], "doi": []}, {"id": "59ce048ce1f01704f37d2d60e033c3382118ecad", "title": "Obtaining three-dimensional trajectory of multiple fish in water tank via video tracking", "addresses": [{"name": "Jingdezhen Ceramic Institute, Jingdezhen, China", "source_name": "Jingdezhen Ceramic Institute, Jingdezhen, China", "street_adddress": "Taoyang S Rd, Zhushan Qu, Jingdezhen Shi, Jiangxi Sheng, China, 333000", "lat": "29.29292600", "lng": "117.25033800", "type": "edu", "country": "China"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5755-5"]}, {"id": "6ec8bb9c7aaec908b76dad89529c5ded7cab8e83", "title": "Continuous Energy Minimization for Multitarget Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Technische Universit\u00e4t Darmstadt", "source_name": "Technische Universit\u00e4t Darmstadt, Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://research.milanton.de/files/pami2014/pami2014-anton.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/papers/2014/milan-pami-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6520846", "http://doi.org/10.1109/TPAMI.2013.103", "https://www.ncbi.nlm.nih.gov/pubmed/24231866", "https://www.wikidata.org/entity/Q48704299"]}, {"id": "58eba9930b63cc14715368acf40017293b8dc94f", "title": "What Do I See? Modeling Human Visual Perception for Multi-person Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7508/ac08dd7b9694bcfe71a617df7fcf3df80952.pdf"], "doi": []}, {"id": "42d9cb791b8aa3a8658e3ac34e41a1bad1935610", "title": "Tracking Sports Players with Context-Conditioned Motion Models", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b830.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Liu_Tracking_Sports_Players_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619083", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.239", "http://doi.org/10.1109/CVPR.2013.239"]}, {"id": "218982f0878a3de667fac2bb18b9f50949aefc1c", "title": "Multi-pose multi-target tracking for activity understanding", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~izadinia/files/PID2616061.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475044", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475044", "http://doi.org/10.1109/WACV.2013.6475044"]}, {"id": "278eead9d16d003e5470bed36f4e3d680e37957b", "title": "Multi-human tracking using part-based appearance modelling and grouping-based tracklet association for visual surveillance applications", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3219-8", "https://www.wikidata.org/entity/Q56528515"]}, {"id": "63bf2c8af992e7306210d23f601840b3ca57b532", "title": "Tracking multiple ants in a colony", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://webpages.uncc.edu/~twfascia/pres/Thomas_WACV2013_Poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475065", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475065", "http://doi.org/10.1109/WACV.2013.6475065"]}, {"id": "22493d8d4d7b4604cae23638dce4981b36e30147", "title": "Learning an Image-Based Motion Context for Multiple People Tracking", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cvgl.stanford.edu/papers/LeaFenKuzRosSavCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Leal-Taixe_Learning_an_Image-based_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909848", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.453", "http://doi.org/10.1109/CVPR.2014.453"]}, {"id": "139302f87b4a23dad87b2f3a2187593f18bcd68c", "title": "Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06897.pdf"], "doi": []}, {"id": "46c9e36647f2d5b40555e4e392dd76807c73f2c2", "title": "Multi-Object Tracking in Airborne Video Imagery based on Compressive Tracking Detection Responses", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2843846"]}, {"id": "aae7648c8b3acad61463cc1bdb4f17da40f819a4", "title": "Context-based multi-target tracking with occlusion handling", "addresses": [{"name": "Auckland University of Technology", "source_name": "Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand", "street_adddress": "31 Symonds St, Auckland, 1010, New Zealand", "lat": "-36.85444260", "lng": "174.76761040", "type": "edu", "country": "New Zealand"}, {"name": "Daimler A.G, Boeblingen, Germany", "source_name": "Daimler A.G, Boeblingen, Germany", "street_adddress": "Hanns-Klemm-Stra\u00dfe 45, 71034 B\u00f6blingen, Germany", "lat": "48.67904910", "lng": "8.97664620", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-016-0770-x"]}, {"id": "e8062a0e50606e2230120e44b38a8cc26f475c22", "title": "Online Discriminative Structured Output SVM Learning for Multi-Target Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6705657"]}, {"id": "1257488885ab81ce41578bb244c258772681791a", "title": "Unified hierarchical multi-object tracking using global data association", "addresses": [{"name": "Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen", "source_name": "Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://mediatum.ub.tum.de/doc/1189672/125319.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6523791"]}, {"id": "1ba97b4f02b09c588c3d5189ecb94ec80c339caf", "title": "Multi-view Tracking of Multiple Targets with Dynamic Cameras", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1ba9/7b4f02b09c588c3d5189ecb94ec80c339caf.pdf"], "doi": []}, {"id": "616b7093cfe6ec679f25d63f62c16e937227258f", "title": "Bayesian Multi-object Tracking Using Motion Context from Multiple Objects", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/wacv15_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045866", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.12", "http://doi.org/10.1109/WACV.2015.12"]}, {"id": "4fc90013e4e2297f33a86db106843917c824d6b9", "title": "Visual object tracking\u2014classical and contemporary approaches", "addresses": [{"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-015-4246-3"]}, {"id": "586c989e12d19a48eb7084a3e07e9149c9fa7092", "title": "Online Scheme for Multiple Camera Multiple Target Tracking Based on Multiple Hypothesis Tracking", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517399", "http://doi.org/10.1109/TCSVT.2016.2593619"]}, {"id": "50137d663802224e683951c48970496b38b02141", "title": "DETRAC: A New Benchmark and Protocol for Multi-Object Tracking", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5013/7d663802224e683951c48970496b38b02141.pdf"], "doi": []}, {"id": "fdc6715efab69e057d53d782e930fd3e700cc7f9", "title": "Robust Multiperson Detection and Tracking for Mobile Service and Social Robots", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Institute for Infocomm Research, Singapore", "source_name": "Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6187748", "http://doi.org/10.1109/TSMCB.2012.2192107", "https://www.ncbi.nlm.nih.gov/pubmed/22542684", "https://www.wikidata.org/entity/Q48790519"]}, {"id": "3369b007683be909b1ff848b73a2787dc13ef0aa", "title": "Multi scale block histogram of template feature for pedestrian detection", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5654039", "http://doi.org/10.1109/ICIP.2010.5654039"]}, {"id": "44b517a544dafbf753f1b16feec26ec2c0c2a8f2", "title": "Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability", "addresses": [{"name": "Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York", "source_name": "Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York", "street_adddress": "1275 York Ave, New York, NY 10065, USA", "lat": "40.76410100", "lng": "-73.95598370", "type": "edu", "country": "United States"}, {"name": "University of Heidelberg", "source_name": "Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany", "street_adddress": "Berliner Str. 43, 69120 Heidelberg, Germany", "lat": "49.41875910", "lng": "8.67554310", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/lou_14_active.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/567785561/lou_14_active.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6698356", "http://doi.org/10.1109/TMI.2013.2296937", "https://www.ncbi.nlm.nih.gov/pubmed/24710154", "https://www.wikidata.org/entity/Q39006803"]}, {"id": "eaf421c589034b422d64c2c590d30959ce2d6c74", "title": "A discrete chain graph model for 3d+t cell tracking with high misdetection robustness", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/kausler_12_discrete.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/1549822464/kausler_12_discrete.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_11"]}, {"id": "c23153aade9be0c941390909c5d1aad8924821db", "title": "Efficient and Accurate Tracking for Face Diarization via Periodical Detection", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c231/53aade9be0c941390909c5d1aad8924821db.pdf"], "doi": []}, {"id": "191e58d41835d59b918759efb9d7b59fd8e5ee00", "title": "Branch and track", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.cs.duke.edu/~steve/papers/posterCvpr11.pdf", "http://www.cs.duke.edu/~steve/papers/posterCvpr11.pdf.pdf.filepart", "http://www.cs.duke.edu/~tomasi/papers/gu/guCvpr11.pdf", "https://users.cs.duke.edu/~tomasi/papers/gu/guCvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995599", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995599", "http://doi.org/10.1109/CVPR.2011.5995599"]}, {"id": "bd7e61b2ad008741b0845fbf3e1a7a3a9805f147", "title": "MTTV - An Interactive Trajectory Visualization and Analysis Tool", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bd7e/61b2ad008741b0845fbf3e1a7a3a9805f147.pdf"], "doi": []}, {"id": "a9607714002b5debc0cf7b96a3def0cc6a005198", "title": "Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04991.pdf"], "doi": []}, {"id": "22db2fd664a4b838149853d1f3390c6022a9ddb2", "title": "Detecting motion synchrony by video tubes", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2071973"]}, {"id": "90c01ab7f0516990e722c366155a796577bd31d8", "title": "A systematic framework for real-time online multi-object tracking", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7338725", "http://doi.org/10.1109/ICCAIS.2015.7338725"]}, {"id": "32f9cfe2e352dd036dc19d30374118c2322f4449", "title": "Global optimal data association for multiple people tracking", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www6.in.tum.de/Main/Publications/Chenlil2013a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631250", "http://doi.org/10.1109/ICRA.2013.6631250"]}, {"id": "4df1eb999ea8b7972e8f8b4ef218866aa16e98d4", "title": "Multi-object tracking with inter-feedback between detection and tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/10509/1/nerocomputing-tracking2016.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.07.028"]}, {"id": "6c58e3a8209fef0e28ca2219726c15ea5f284f4f", "title": "Temporally subsampled detection for accurate and efficient face tracking and diarization", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://publications.idiap.ch/downloads/papers/2016/Le_ICPR_2016.pdf", "http://www.idiap.ch/~odobez/publications/LeHeiliWuOdobez-ICPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899896", "http://doi.org/10.1109/ICPR.2016.7899896", "https://doi.org/10.1109/ICPR.2016.7899896"]}, {"id": "312b5c73d79ae80f9f8e4573118d372cf29a80e8", "title": "Multiple object video tracking using GRASP-MHT", "addresses": [{"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://isif.org/fusion/proceedings/fusion12CD/html/pdf/045_124.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6289822", "http://ieeexplore.ieee.org/document/6289822/"]}, {"id": "aad8d2e32f1cc21eedbdd5e8ebff9f367daa6d92", "title": "Online multi-target tracking by large margin structured learning", "addresses": [{"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2012", "pdf": ["http://cvlab.postech.ac.kr/~bhhan/papers/accv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37431-9_8"]}, {"id": "3b6cbd6eee1b75bf6f608065126408d3c3d71e99", "title": "Online multi-object tracking based on global and local features", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805435", "http://doi.org/10.1109/VCIP.2016.7805435"]}, {"id": "134994ada9a22f82b81640948afde2252e5ad5f5", "title": "Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cs.albany.edu/~lsw/papers/iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Wu_Simultaneous_Clustering_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751466", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.355", "http://doi.org/10.1109/ICCV.2013.355", "http://www.escience.cn/system/file?fileId=70045"]}, {"id": "9dc42551849d808f66dccf2e02c4f047a69c4d89", "title": "Counting people using gradient boosted trees", "addresses": [{"name": "Hebei Normal University", "source_name": "College of Mathematics and Information Sciences, Hebei Normal University, Shijiazhuang 050024, China", "street_adddress": "Yuhua, Shijiazhuang, Hebei, China, 050024", "lat": "38.00924450", "lng": "114.51817930", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7560388"]}, {"id": "c9efc5823212d700b08da5e482ffd46934ae0f58", "title": "Multi-target tracking with context from interaction feature strings", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c9ef/c5823212d700b08da5e482ffd46934ae0f58.pdf"], "doi": []}, {"id": "488cb054f61378809cdcea5b08b5005d392b07ce", "title": "Tracklet Association with Online Target-Specific Metric Learning", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Wang_Tracklet_Association_with_2014_CVPR_paper.pdf", "https://dr.ntu.edu.sg/bitstream/handle/10220/25754/Tracklet%20association%20with%20online%20target-specific%20metric%20learning.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909557", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.161", "http://doi.org/10.1109/CVPR.2014.161"]}, {"id": "1a52e51428c7a867189a775e274ab04dc35f2bd8", "title": "Fine-grained categorization of fish motion patterns in underwater videos", "addresses": [{"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}, {"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://cbl.uh.edu/pub_files/06130426.pdf", "http://qil.uh.edu/qil/websitecontent/pdf/2015-42.pdf", "http://web.engr.oregonstate.edu/~sinisa/research/publications/ICCV11Workshop.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130426", "http://doi.org/10.1109/ICCVW.2011.6130426"]}, {"id": "4f182750ff26f68d284a416b2fcfc5c53c8e9c24", "title": "Robust online multi-object tracking based on KCF trackers and reassignment", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7905816", "http://doi.org/10.1109/GlobalSIP.2016.7905816"]}, {"id": "e4cf6a559b4002b650dde376005a64b064963b19", "title": "Memory Based Online Learning of Deep Representations from Video Streams", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07368.pdf"], "doi": []}, {"id": "89a7cafc8b001a95373cafc71ca166d9df231385", "title": "Accurate person tracking through changing poses for multi-view action recognition", "addresses": [{"name": "Raytheon BBN Technologies, Cambridge, MA", "source_name": "Raytheon BBN Technologies, Cambridge, MA", "street_adddress": "10 Moulton St, Cambridge, MA 02138, USA", "lat": "42.38980550", "lng": "-71.14759860", "type": "company", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2010", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1924580"]}, {"id": "38b5a83f7941fea5fd82466f8ce1ce4ed7749f59", "title": "Improving multi-target tracking via social grouping", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/grouptracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247899", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247899", "http://doi.org/10.1109/CVPR.2012.6247899"]}, {"id": "5c46e40aa1313e444ddb74cf53c5c7ce0d38366d", "title": "Object identification, enhancement and tracking under dynamic background conditions", "addresses": [{"name": "University of Peradeniya", "source_name": "University of Peradeniya", "street_adddress": "Galaha Rd, 20400, Sri Lanka", "lat": "7.25818990", "lng": "80.59878060", "type": "edu", "country": "Sri Lanka"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069583"]}, {"id": "2f988201fb8316772bca1b44cc0e42f774edd714", "title": "Conditional Random Field (CRF)-Boosting: Constructing a Robust Online Hybrid Boosting Multiple Object Tracker Facilitated by CRF Learning", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2f98/8201fb8316772bca1b44cc0e42f774edd714.pdf"], "doi": []}, {"id": "14d5bd23667db4413a7f362565be21d462d3fc93", "title": "An Online Learned Elementary Grouping Model for Multi-target Tracking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~zqin001/cvpr2014.pdf", "http://www.cs.ucr.edu/~xchen010/papers/CVPR2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909558", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.162", "http://doi.org/10.1109/CVPR.2014.162"]}, {"id": "ce049cdb0582ffd46d2b8725c30ce73e48e796ad", "title": "Tracking individuals in surveillance video of a high-density crowd", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ce04/9cdb0582ffd46d2b8725c30ce73e48e796ad.pdf"], "doi": []}, {"id": "9840b1c84dc8f47979d74be23e2276a12d24164c", "title": "Advances in Visual Computing", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "Desert Research Institute, Reno, USA", "source_name": "Desert Research Institute, Reno, USA", "street_adddress": "2215 Raggio Pkwy, Reno, NV 89512, USA", "lat": "39.57202790", "lng": "-119.80071190", "type": "company", "country": "United States"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}, {"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}, {"name": "Lawrence Berkeley National Laboratory", "source_name": "Lawrence Berkeley National Laboratory", "street_adddress": "1 Cyclotron Rd, Berkeley, CA 94720, USA", "lat": "37.87592770", "lng": "-122.25002740", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "NASA Ames Research Center, Moffett Field, USA", "source_name": "NASA Ames Research Center, Moffett Field, USA", "street_adddress": "Moffett Blvd, Mountain View, CA 94043, USA", "lat": "37.40896040", "lng": "-122.06449830", "type": "gov", "country": "United States"}, {"name": "NVIDIA, Leesburg, USA", "source_name": "NVIDIA, Leesburg, USA", "street_adddress": "Leesburg, VA, USA", "lat": "39.11566150", "lng": "-77.56360150", "type": "company", "country": "United States"}, {"name": "NextGen Interactions, Raleigh, NC", "source_name": "NextGen Interactions, Raleigh, USA", "street_adddress": "Raleigh, NC, USA", "lat": "35.77958970", "lng": "-78.63817870", "type": "company", "country": "United States"}, {"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}, {"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-14249-4"]}, {"id": "7ef33dd6bc689eb17d7696e2de2d36de73507e52", "title": "Towards real-time and low-latency video object tracking by linking tracklets of incomplete detections", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Siqura B.V., Gouda, The Netherlands", "source_name": "Siqura B.V., Gouda, The Netherlands", "street_adddress": "Meridiaan 32, 2801 DA Gouda, Netherlands", "lat": "52.01690360", "lng": "4.68639910", "type": "company", "country": "Netherlands"}], "year": "2013", "pdf": ["http://vca.ele.tue.nl/publications/data/Vijverberg2013a.pdf", "https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636656.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636656", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636656", "http://doi.org/10.1109/AVSS.2013.6636656"]}, {"id": "d82a39da1e524f6ac8b5622002bccb974bc9b69e", "title": "Multihuman Tracking Based on a Spatial\u2013Temporal Appearance Match", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6587854", "http://doi.org/10.1109/TCSVT.2013.2280073"]}, {"id": "17b81e9282da0ba5624ef62f4537bd211a3f5acf", "title": "Linear time offline tracking and lower envelope algorithms", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ftp.cs.duke.edu/~tomasi/papers/gu/guIccv11.pdf", "http://www.cs.duke.edu/~steve/papers/offline.pdf", "http://www.cs.duke.edu/~steve/papers/poster_offline.pdf", "https://users.cs.duke.edu/~tomasi/papers/gu/guIccv11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126451", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126451", "http://doi.org/10.1109/ICCV.2011.6126451"]}, {"id": "50b22fa36b05f175101faa1eeaaf79eacfd9863b", "title": "Multiway histogram intersection for multi-target tracking", "addresses": [{"name": "Air Force Research Lab, USA", "source_name": "Air Force Research Lab, USA", "street_adddress": "26 Electronics Parkway, Rome, NY 13441, USA", "lat": "43.22135160", "lng": "-75.40855770", "type": "mil", "country": "United States"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Intelligent Fusion Technology, Inc, Germantown, MD, USA", "source_name": "Intelligent Fusion Technology, Inc, Germantown, MD, USA", "street_adddress": "20271 Goldenrod Ln, Germantown, MD 20876, USA", "lat": "39.18666240", "lng": "-77.25049360", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7266792", "http://ieeexplore.ieee.org/document/7266792/"]}, {"id": "1260950b06b68b2be42ba54112f5856044e25652", "title": "Tracking pedestrians with bacterial foraging optimization swarms", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2011/Tracking%20Pedestrians%20with%20Bacterial11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949658", "http://doi.org/10.1109/CEC.2011.5949658"]}, {"id": "ef9f61f1a00351a9c38cb0e9ade622a55ff2a148", "title": "Adaptive kernel-based object tracking with robust appereance model using particle filter", "addresses": [{"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6620105"]}, {"id": "4c989676b701495221433b4c174ee6d04051348a", "title": "Interactive Framework for Insect Tracking with Active Learning", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://graphics.uni-konstanz.de/publikationen/Shen2014InteractiveFrameworkInsect/Shen2014InteractiveFrameworkInsect.pdf", "http://www.lfb.rwth-aachen.de/bibtexupload/pdf/SHE14a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977184", "http://doi.org/10.1109/ICPR.2014.471"]}, {"id": "20a2890c92b7ad628aedd25db3384276f0fdaf90", "title": "A Combined Voxel and Particle Filter-Based Approach for Fast Obstacle Detection and Tracking in Automotive Applications", "addresses": [{"name": "University of La Laguna", "source_name": "Departamento de Ingenier\u00eda Inform\u00e1tica, University of La Laguna, Santa Cruz de Tenerife, Spain", "street_adddress": "Calle Padre Herrera, s/n, 38200 San Crist\u00f3bal de La Laguna, Santa Cruz de Tenerife, Spain", "lat": "28.48109410", "lng": "-16.31584430", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725942", "http://doi.org/10.1109/TITS.2016.2616718"]}, {"id": "43461e78874aff6b33b8231daf6068ec7ff15098", "title": "Automated tracing of myelinated axons and detection of the nodes of Ranvier in serial images of peripheral nerves.", "addresses": [{"name": "University of Heidelberg", "source_name": "Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany", "street_adddress": "Berliner Str. 43, 69120 Heidelberg, Germany", "lat": "49.41875910", "lng": "8.67554310", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/kreshuk_et_al-2015-journal_of_the_royal_microscopical_society.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26191646", "http://doi.org/10.1111/jmi.12266"]}, {"id": "7227c1d8f53279041822266c7a6d0ac128e96d05", "title": "Multi-view People Tracking via Hierarchical Trajectory Composition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Xu_Multi-View_People_Tracking_CVPR_2016_paper.pdf", "http://web.cs.ucla.edu/~yuanluxu/publications/mvot_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Xu_Multi-View_People_Tracking_CVPR_2016_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2016/CVPR2016_multi-camera_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780830", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.461", "http://doi.org/10.1109/CVPR.2016.461"]}, {"id": "828b73e8a4d539eeae82601b5f5a4392818c6430", "title": "Long-Term Tracking by Decision Making", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/828b/73e8a4d539eeae82601b5f5a4392818c6430.pdf"], "doi": []}, {"id": "8338a6a0c1918562d821fa00f13eb30a42aa5b07", "title": "Robust tracking of fish schools using CNN for head identification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-4045-3"]}, {"id": "b4288f34528fbda2d2781454aadccae0d578d59a", "title": "Bayesian 3D Tracking from Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://kobus.ca/research/publications/13/Brau-ICCV-13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Brau_Bayesian_3D_Tracking_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751530", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.418", "http://doi.org/10.1109/ICCV.2013.418"]}, {"id": "81b337f2006cd6c8d5fd148a56cab3e5a662d40d", "title": "Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/81b3/37f2006cd6c8d5fd148a56cab3e5a662d40d.pdf"], "doi": []}, {"id": "750465b63c19e8b33743f8f446413382f0239c97", "title": "Multi-target Tracking and Segmentation via Discriminative Appearance Model", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://www.vis.uky.edu/3dimpvt/assets/papers/17th%20pm/multi-target%20tracking%20and%20segmentation%20via%20discriminative%20appearance%20model.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5955348", "http://doi.ieeecomputersociety.org/10.1109/3DIMPVT.2011.19", "http://doi.org/10.1109/3DIMPVT.2011.19"]}, {"id": "0ebb98011a941ad8800ab06b374dd3e41d17aaea", "title": "Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://mediatum.ub.tum.de/doc/1189673/973900.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d650.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Hofmann_Hypergraphs_for_Joint_2013_CVPR_paper.pdf", "http://www.mmk.ei.tum.de/publ//pdf/13/13hof3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619312", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.468", "http://doi.org/10.1109/CVPR.2013.468"]}, {"id": "6aef7b35776ed2b86b60af096319b9f4fc7f37b8", "title": "Detection-assisted Object Tracking by Mobile Cameras", "addresses": [{"name": "University of Nebraska - Lincoln", "source_name": "University of Nebraska - Lincoln", "street_adddress": "Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA", "lat": "40.81747230", "lng": "-96.70444680", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6aef/7b35776ed2b86b60af096319b9f4fc7f37b8.pdf"], "doi": []}, {"id": "34339f1edc9fb0ac90f363ddbaf39f853495a137", "title": "Capture, analysis and synthesis of photorealistic crowds", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/3433/9f1edc9fb0ac90f363ddbaf39f853495a137.pdf"], "doi": []}, {"id": "27785e060b3aca6f3f6e09497bc32eb58b4cd6bf", "title": "Tracking Pedestrians Using Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://www.cs.drexel.edu/~kon/publication/LKratz_TPAMI11_preprint.pdf", "https://www.cs.drexel.edu/~lak24/publications/TPAMI11_track_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989832", "http://doi.org/10.1109/TPAMI.2011.173", "https://www.ncbi.nlm.nih.gov/pubmed/21844618", "https://www.wikidata.org/entity/Q50674397"]}, {"id": "aac241c0327ceec5fded6646cc5b93e150ca8b06", "title": "Crisis management using multiple camera surveillance systems", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/aac2/41c0327ceec5fded6646cc5b93e150ca8b06.pdf"], "doi": []}, {"id": "13453bbe7b669e0a6ea82cf0f13494e08f00414f", "title": "Multi-object Tracking Using Compressive Sensing Features in Markov Decision Process", "addresses": [{"name": "Le2i FRE2005, CNRS, Arts et M\u00e9tiers, Univ. Bourgogne Franche-Comt\u00e9, UTBM, Belfort, France", "source_name": "Le2i FRE2005, CNRS, Arts et M\u00e9tiers, Univ. Bourgogne Franche-Comt\u00e9, UTBM, Belfort, France", "street_adddress": "Arts et M\u00e9tiers, 75003 Paris, France", "lat": "48.86666460", "lng": "2.35727030", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70353-4_43"]}, {"id": "bc12715a1ddf1a540dab06bf3ac4f3a32a26b135", "title": "Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02781.pdf"], "doi": []}, {"id": "ceef3cce226d2f5977ff4366c5fed0e366a11d84", "title": "Integrating statistical and cognitive model for multi-object tracking in realistic scenarios", "addresses": [{"name": "Otto-von-Guericke-University Magdeburg", "source_name": "Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany", "street_adddress": "Universit\u00e4tspl. 2, 39106 Magdeburg, Germany", "lat": "52.14020530", "lng": "11.64419910", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6148867"]}, {"id": "41b541ff747817dade4653fe6ffcdc50e7b3135b", "title": "A Stochastic Graph Evolution Framework for Robust Multi-target Tracking", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/41b5/41ff747817dade4653fe6ffcdc50e7b3135b.pdf"], "doi": []}, {"id": "5d09fefbcee2410eb448dc75f5957bed8587624b", "title": "How does person identity recognition help multi-person tracking?", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://iris.usc.edu/Outlines/papers/2011/kuo-nevatia-cvpr11.pdf", "http://iris.usc.edu/people/chenghak/download/Kuo_Nevatia_CVPR2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995384", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995384", "http://doi.org/10.1109/CVPR.2011.5995384"]}, {"id": "247a55385a11c070a9bdfce55ad4da6b8bb8d3c6", "title": "Towards Longer Long-Range Motion Trajectories", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8d37/db7aa7e038c1a8bfbf56a90e0676494e70b7.pdf"], "doi": []}, {"id": "6cd51f1699ceb4f433c88de70bbf46b27f527d4a", "title": "A novel solution for multi-camera object tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025472", "http://doi.org/10.1109/ICIP.2014.7025472"]}, {"id": "8c618c038c60a385d220193f87b8b0759aab0fd7", "title": "A Hierarchical Association Framework for Multi-Object Tracking in Airborne Videos", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Vrije Universiteit Brussel", "source_name": "Vrije Universiteit Brussel", "street_adddress": "Vrije Universiteit Brussel, 170, Quai de l'Industrie - Nijverheidskaai, Anderlecht, Brussel-Hoofdstad - Bruxelles-Capitale, R\u00e9gion de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, 1070, Belgi\u00eb / Belgique / Belgien", "lat": "50.84110070", "lng": "4.32377555", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61b3/ae98486724227f57d6473f4cf1b45110b760.pdf"], "doi": []}, {"id": "7c4864065f4e107cb5be49a8dba8cf7d94b8340f", "title": "Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b846.pdf", "http://www.cse.psu.edu/~asad/cvpr_2013.pdf", "http://www.cse.psu.edu/~rtc12/Papers/cvpr2013ButtCollins.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Butt_Multi-target_Tracking_by_2013_CVPR_paper.pdf", "https://wiki.epfl.ch/edicpublic/documents/Candidacy%20exam/03Mul.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619085", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.241", "http://doi.org/10.1109/CVPR.2013.241"]}, {"id": "def340ffd4bc0bc57b33a447d99a3c2f64e1a572", "title": "Multiple neutrophils tracking in vitro array using high-order temporal information", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8512342", "http://doi.org/10.1109/EMBC.2018.8512342", "https://www.ncbi.nlm.nih.gov/pubmed/30440249"]}, {"id": "bf63599a05692ba4c18476f696edf98bc28a4f3d", "title": "Fully Convolutional Neural Networks for Crowd Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.4464.pdf"], "doi": []}, {"id": "82b9a637e55a9faef8f68d00296684c6cf29630a", "title": "Segment-wise online learning based on greedy algorithm for real-time multi-target tracking", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://slsp.kaist.ac.kr/paperdata/Segment-wise_Online_Learning.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350924", "http://doi.org/10.1109/ICIP.2015.7350924"]}, {"id": "ac0fd99c800160043c9d4eb38f369c81f6ae0097", "title": "Automated safety control by video cameras", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "Netherlands Defence Academy", "source_name": "Delft University of Technology and Netherlands Defence Academy", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "mil", "country": "Netherlands"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2383320"]}, {"id": "283d226e346ac3e7685dd9a4ba8ae55ee4f2fe43", "title": "Bayesian Data Association for Temporal Scene Understanding", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/283d/226e346ac3e7685dd9a4ba8ae55ee4f2fe43.pdf"], "doi": []}, {"id": "e225e1b77d87f8a6ee8e7ce3c93994233ba74dcb", "title": "Survey on Contemporary Remote Surveillance Systems for Public Safety", "addresses": [{"name": "VTT Technical Research Centre of Finland, Oulu, Finland", "source_name": "VTT Technical Research Centre of Finland, Oulu, Finland", "street_adddress": "Kaitov\u00e4yl\u00e4 1, 90570 Oulu, Finland", "lat": "65.05667640", "lng": "25.45737150", "type": "company", "country": "Finland"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5422679", "http://doi.org/10.1109/TSMCC.2010.2042446"]}, {"id": "6161ed8a0aa7d5b8791534b093e02e6eca6b1524", "title": "A cost function approach for multi-human tracking", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116556", "http://doi.org/10.1109/ICIP.2011.6116556"]}, {"id": "1e7ca1f8393c1a39e60329fce8560be92ac8c96b", "title": "Learning Spatio-Temporal Information for Multi-Object Tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885605", "http://doi.org/10.1109/ACCESS.2017.2686482"]}, {"id": "5984c4a65c8fbd02be6054c30d929e76b9b9110a", "title": "Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01168.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Kroeger-BMTT@WACV-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046816", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2015.6", "http://doi.org/10.1109/WACVW.2015.6"]}, {"id": "0ff1da972f03085a2bbe87b88940da6201e1aaf9", "title": "Pedestrian detection and tracking using deformable part models and Kalman filtering", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2012", "pdf": ["http://www.davidpublishing.com/davidpublishing/Upfile/11/13/2013/2013111306640390.pdf", "http://www.researchgate.net/profile/Shubham_Mittal5/publication/260244021_Pedestrian_Detection_and_Tracking_Using_Deformable_Part_Models_and_Kalman_Filtering/links/09e41511c32ef1f4fd000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6407106", "http://doi.org/10.1109/ISOCC.2012.6407106"]}, {"id": "e12d5019baca91c3662aef317d406ae884f9c742", "title": "Post-Processing of Multi-Target Trajectories for Traffic Safety Analysis", "addresses": [{"name": "University of Goettingen", "source_name": "Institute of Computer Science University of Goettingen, Data Fusion Group, Germany", "street_adddress": "Goldschmidtstra\u00dfe 7, 37077 G\u00f6ttingen, Germany", "lat": "51.55594460", "lng": "9.94799660", "type": "edu", "country": "Germany"}, {"name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "source_name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "street_adddress": "Rutherfordstra\u00dfe 2, 12489 Berlin, Germany", "lat": "52.42820940", "lng": "13.52918370", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455280", "http://doi.org/10.23919/ICIF.2018.8455280"]}, {"id": "59e9934720baf3c5df3a0e1e988202856e1f83ce", "title": "UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04136.pdf"], "doi": []}, {"id": "b1bbe8b1afb97d590269bae95c34c87a8aa388cb", "title": "Multi-target tracking by continuous energy minimization", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://research.milanton.de/files/cvpr2011/cvpr2011-poster.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/anton11cvpr.pdf", "http://www.milanton.de/files/cvpr2011/cvpr2011-anton.pdf", "http://www.milanton.de/files/cvpr2011/cvpr2011-poster.pdf", "http://www.researchgate.net/profile/Anton_Milan/publication/221364514_Multi-target_tracking_by_continuous_energy_minimization/links/0912f50b342afc3c47000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995311", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995311", "http://doi.org/10.1109/CVPR.2011.5995311"]}, {"id": "b506aa23949b6d1f0c868ad03aaaeb5e5f7f6b57", "title": "Modeling Social and Temporal Context for Video Analysis", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/zqin-phd.pdf"], "doi": ["https://www.base-search.net/Record/3b04a8f520744937ae3394bccbac1d98399bc9af219cd06cb618e7be7340943d"]}, {"id": "3b1fcfd2fdb89b3534e506beda391305f10daf5a", "title": "Perimeter-intrusion event classification for on-line detection using multiple instance learning solving temporal ambiguities", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Siqura B.V., Gouda, The Netherlands", "source_name": "Siqura B.V., Gouda, The Netherlands", "street_adddress": "Meridiaan 32, 2801 DA Gouda, Netherlands", "lat": "52.01690360", "lng": "4.68639910", "type": "company", "country": "Netherlands"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025487", "http://doi.org/10.1109/ICIP.2014.7025487"]}, {"id": "e6a5c128a6697063b2560702f792b97c65db99e2", "title": "Signature-driven multi-target tracking", "addresses": [{"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5711928", "http://ieeexplore.ieee.org/document/5711928/"]}, {"id": "2bcf2bd59219d89f335cbc8d1dd4f431076b4c4c", "title": "Recent advances and trends in visual tracking: A review", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://lshao.staff.shef.ac.uk/pub/Tracking_NeuCom2011.pdf", "http://www.nlpr.ia.ac.cn/2012papers/gjkw/gk26.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2011.07.024"]}]}
\ No newline at end of file +{"id": "2258e01865367018ed6f4262c880df85b94959f8", "dataset": {"key": "mot", "name_short": "MOT", "name_display": "MOT", "name_full": "Multiple Object Tracking Benchmark", "purpose": "pedestrian and object tracking", "comment": "This data is for MOT15 (there is also MOT17). data composed of 22 sequences of 10mn each. 6 new sequences (?) are captured with 2 cameras: one static, one moving. imgs taken from mot Challenge Results 17 webpage (see screenshot in nextcloud)", "funded_by": "", "license": "", "url": "https://motchallenge.net/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "", "cyberspace": "", "parent": "", "source": "cam_out", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2017", "ongoing": "Y", "images": "17,757 ", "videos": "21 ", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "track, ped_detect", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": ""}, "paper": {"paper_id": "2258e01865367018ed6f4262c880df85b94959f8", "key": "mot", "title": "Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics", "year": "2008", "pdf": ["https://cvhci.anthropomatik.kit.edu/images/stories/msmmi/papers/eurasip2008.pdf"], "address": "", "name": "MOT", "doi": ["https://doi.org/10.1155/2008%2F246309", "https://doi.org/10.1155/2008/246309"]}, "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "additional_papers": [{"paper_id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "key": "mot", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "name": "MOT", "doi": []}, {"paper_id": "5981e6479c3fd4e31644db35d236bfb84ae46514", "key": "mot", "title": "Learning to associate: HybridBoosted multi-target tracker for crowded scene", "year": "2009", "pdf": [], "address": {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, "name": "MOT", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5206735"]}], "citations": [{"id": "ed432ecd59021a96d8995269a34678c4c2774507", "title": "End-to-end Learning of Multi-sensor 3D Tracking by Detection", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11534.pdf"], "doi": []}, {"id": "2701bd6850dc1b811ef7697cc1cd19405b99f990", "title": "Privacy Preserving Multi-target Tracking", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/35b0/36b8cdb05cb8f5a348296469555894d41771.pdf"], "doi": []}, {"id": "e9336cd4c63139c481c2ed9624b04f5b9a477d80", "title": "Dynamic objects detection and tracking for a laser scanner and camera system", "addresses": [{"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324442", "http://doi.org/10.1109/ROBIO.2017.8324442"]}, {"id": "e27677a88e40d65cc28e4c8ecb35388467ec3cf8", "title": "Collaborative Tracking for Multiple Objects in the Presence of Inter-Occlusions", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047768"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "fd9b86fb36a0b48e4eca0d73f8c3c683fdaf6231", "title": "Super-High-Purity Seed Sorter Using Low-Latency Image-Recognition Based on Deep Learning", "addresses": [{"name": "Pohang University of Science and Technology", "source_name": "Pohang University of Science and Technology", "street_adddress": "\ud3ec\uc2a4\ud14d, 77, \uccad\uc554\ub85c, \ud6a8\uace1\ub3d9, \ub0a8\uad6c, \ud3ec\ud56d\uc2dc, \uacbd\ubd81, 37673, \ub300\ud55c\ubbfc\uad6d", "lat": "36.01773095", "lng": "129.32107509", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8391727"]}, {"id": "5f2a3fe58974a4e60dde5cbee46a64718ac5c179", "title": "Joint Headlight Pairing and Vehicle Tracking by Weighted Set Packing in Nighttime Traffic Videos", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.dabi.temple.edu/~hbling/publication/Joint_pair-tracking-final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8057590", "http://doi.org/10.1109/TITS.2017.2745683"]}, {"id": "8db60e5196657c4f6188ffee3d2a48d188014f6d", "title": "Realtime multi-aircraft tracking in aerial scene with deep orientation network", "addresses": [{"name": "Military Technical College, Cairo, Egypt", "source_name": "Military Technical College, Cairo, Egypt", "street_adddress": "Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.08042180", "lng": "31.29625750", "type": "mil", "country": "Egypt"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0780-1"]}, {"id": "d5aa657e0e34dac4fcff484496b0e17d5ae0f52e", "title": "Globality\u2013Locality-Based Consistent Discriminant Feature Ensemble for Multicamera Tracking", "addresses": [{"name": "INRIA Sophia Antipolis M\u00e9diterran\u00e9e, Sophia Antipolis, France", "source_name": "INRIA Sophia Antipolis M\u00e9diterran\u00e9e, Sophia Antipolis, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583719", "http://doi.org/10.1109/TCSVT.2016.2615538"]}, {"id": "fcceea054cb59f1409dda181198ed4070ed762c9", "title": "Multiple face tracking method in the wild using color histogram features", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8388318", "http://doi.ieeecomputersociety.org/10.1109/ISSPIT.2017.8388318", "http://doi.org/10.1109/ISSPIT.2017.8388318"]}, {"id": "4820e34baf57e7b3d8d70df915c1710e6e93d631", "title": "A real-time multi-class multi-object tracker using YOLOv2", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Poongsan Defense R&D Institute", "source_name": "Poongsan Defense R&D Institute", "street_adddress": "266 Techno 2-ro, Gwanpyeong-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.41841040", "lng": "127.41058600", "type": "mil", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8120665", "http://doi.org/10.1109/ICSIPA.2017.8120665"]}, {"id": "d5f1e21f71874874fd4122899a83aeae58367c5e", "title": "Robots delivering services to moving people: Individual vs. group patrolling strategies", "addresses": [{"name": "CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France", "source_name": "CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France", "street_adddress": "B\u00e2timent Hubert Curien, Domaine Scientifique de la Doua, 43 Boulevard du 11 Novembre 1918, 69100 Villeurbanne, France", "lat": "45.78385330", "lng": "4.86901190", "type": "edu", "country": "France"}, {"name": "INSA de Lyon - Universit\u00e9 de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France", "source_name": "INSA de Lyon - Universit\u00e9 de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France", "street_adddress": "1st floor, 6 Avenue des Arts, 69621 Villeurbanne, France", "lat": "45.78379620", "lng": "4.87268940", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428216", "http://doi.org/10.1109/ARSO.2015.7428216"]}, {"id": "8f3786e2064a103472ec227a03759bb5056aaffc", "title": "Multiple object tracking based on modified algorithm of GMMCP tracker", "addresses": [{"name": "National University of Defense", "source_name": "College of Machatronics Engineering, National University of Defense, Chang Sha, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888214"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "241d2c517dbc0e22d7b8698e06ace67de5f26fdf", "title": "Online, Real-Time Tracking Using a Category-to-Individual Detector", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/47563/1/ECCV2014_HALL.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890361.pdf", "http://www.vision.caltech.edu/~dhall/projects/CIT/Data/ECCV2014_HALL.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10590-1_24"]}, {"id": "2bfd2add86071064bcf3795dbb57bdb1643ce2c4", "title": "3D Person Tracking In World Coordinates and Attribute Estimation with PDR", "addresses": [{"name": "KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan", "source_name": "KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan", "street_adddress": "2 Chome-1-15 Ohara, Fujimino, Saitama Prefecture 356-0003, Japan", "lat": "35.87922290", "lng": "139.51765570", "type": "company", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806301"]}, {"id": "e604e8a2a639df10704e3f97fc93332589b8c160", "title": "Tracking of multiple planar projection boards for interactive mixed-reality applications", "addresses": [{"name": "Foundation for Research and Technology Hellas, Greece", "source_name": "Foundation for Research and Technology - Hellas (FORTH), Institute of Computer Science, Heraklion, Greece", "street_adddress": "Heraklion, Greece", "lat": "35.33873520", "lng": "25.14421260", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5313-6"]}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "11a6af9b32a93c4053dc12f70afac64a4138b2d1", "title": "Multi-hypothesis motion planning for visual object tracking", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2011", "pdf": ["http://www.cis.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning-poster.pdf", "http://www.cis.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning.pdf", "http://www.seas.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning-poster.pdf", "http://www.seas.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning-talk.pdf", "http://www.seas.upenn.edu/~jshi/papers/ICCV-2011-Tracking-Planning.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126296", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126296", "http://doi.org/10.1109/ICCV.2011.6126296", "http://repository.upenn.edu/cgi/viewcontent.cgi?article=1567&context=cis_papers"]}, {"id": "7c9f884137a22c3bb5cefcd7dfc55e3a83979771", "title": "Person tracking-by-detection with efficient selection of part-detectors", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["https://cvhci.anthropomatik.kit.edu/download/publications/Schumann2013.pdf", "https://cvhci.anthropomatik.kit.edu/~baeuml/downloads/Schumann2013.pdf", "https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636614.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636614", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636614", "http://doi.org/10.1109/AVSS.2013.6636614"]}, {"id": "e281a0f632f5dee3697578d8ddf69da92c9410ab", "title": "GbLN-PSO and Model-Based Particle Filter Approach for Tracking Human Movements in Large View Cases", "addresses": [{"name": "Universiti Malaysia Pahang, Kuantan, Malaysia", "source_name": "Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia", "street_adddress": "UMP FSKKP, Lebuhraya Tun Razak, Kampung Melayu Gambang, 26300 Gambang, Pahang, Malaysia", "lat": "3.72092440", "lng": "103.12496790", "type": "edu", "country": "Malaysia"}, {"name": "Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia", "source_name": "Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia", "street_adddress": "Lebuhraya Tun Razak, Pahang, 26300 Kuantan, Malaysia", "lat": "3.72114300", "lng": "103.12451610", "type": "edu", "country": "Malaysia"}, {"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7108014", "http://doi.org/10.1109/TCSVT.2015.2433172"]}, {"id": "220f6ef6f4bf4729871822e08080142359012e10", "title": "IMPLEMENTATION OF AUTOMATIC MULTIPLE PERSON TRACKING SYSTEM WITH OPEN CV ON BEAGLE BOARD", "addresses": [{"name": "Anna University", "source_name": "Anna University", "street_adddress": "Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India", "lat": "13.01058380", "lng": "80.23537360", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/220f/6ef6f4bf4729871822e08080142359012e10.pdf"], "doi": []}, {"id": "f5adb841e30eb635b91e95c03575f3b8767c9ed5", "title": "Learning Optimal Parameters For Multi-target Tracking", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f5ad/b841e30eb635b91e95c03575f3b8767c9ed5.pdf"], "doi": []}, {"id": "a6c40d0fb4c0420d1d974f9fbfae83da514ebfbe", "title": "Individual and group tracking with the evaluation of social interactions", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a6c4/0d0fb4c0420d1d974f9fbfae83da514ebfbe.pdf"], "doi": []}, {"id": "812e06a4cee26629e198a0a6d991616933ab14d8", "title": "Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09646.pdf"], "doi": []}, {"id": "9d6c04aa6eb0c3d7dce7e5717a16b56f86ffea48", "title": "Visual multi-object tracking via bi-level association strategy within Air-Traffic-Control surveillance videos", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486370"]}, {"id": "59778de271938df6de938deac17fd614f4640ac5", "title": "Cleaning up after a face tracker: False positive removal", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": ["http://www.cs.toronto.edu/~makarand/papers/ICIP2014.pdf", "http://www.cs.toronto.edu/~makarand/papers/posters/ICIP2014.pdf", "https://cvhci.anthropomatik.kit.edu/~mtapaswi/papers/ICIP2014.pdf", "https://cvhci.anthropomatik.kit.edu/~mtapaswi/papers/posters/ICIP2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025050", "http://doi.org/10.1109/ICIP.2014.7025050"]}, {"id": "95e999c08a9cec339a7e53aa645d32279f9a550e", "title": "Detection and Tracking of General Movable Objects in Large Three-Dimensional Maps", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8542753"]}, {"id": "2da0f99ae90ea3e6ccbd3f43e52dbf5aa1553363", "title": "To Track or To Detect? An Ensemble Framework for Optimal Selection", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2da0/f99ae90ea3e6ccbd3f43e52dbf5aa1553363.pdf"], "doi": []}, {"id": "46a93d3bb2a2abea38e432a9a125d225d729f0e4", "title": "A graph-based MAP solution for multi-person tracking using multi-camera systems", "addresses": [{"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://herakles.inf-cv.uni-jena.de/biborb/bibs/cv/papers/Jiang14:AGM.pdf", "http://www.scitepress.org/Papers/2014/46901/46901.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295103", "http://doi.org/10.5220/0004690103430350"]}, {"id": "b40856b30023d469810aacfb48e1c502804e8b7b", "title": "Toward identifying behavioral risk markers for mental health disorders: an assistive system for monitoring children\u2019s movements in a preschool classroom", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0926-y"]}, {"id": "5ffaa04d15fd159c420cc10fddf15ae39a6db865", "title": "Semi-Online Multiple Object Tracking Using Graphical Tracklet Association", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8474304", "http://doi.org/10.1109/LSP.2018.2872403"]}, {"id": "fd68662e0fe3412d47ca07d33246212d4ecfe590", "title": "Efficient track linking methods for track graphs using network-flow and set-cover techniques", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/CVPR2011.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuKunzBetke-CVPR2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995515", "http://doi.org/10.1109/CVPR.2011.5995515"]}, {"id": "f4cf8e1ec82d186303fa8c9e22ed0ff68b55496d", "title": "Multiple people tracking from 2D depth data by deterministic spatiotemporal data association", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": ["http://www.ais.uni-bonn.de/~koosy/publication/koo2013imft.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6628423", "http://doi.org/10.1109/ROMAN.2013.6628423"]}, {"id": "27b630b8d189cc9d6315cdb031573184e7c875b3", "title": "Scene-Adaptive Hierarchical Data Association for Multiple Objects Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778746", "http://doi.org/10.1109/LSP.2014.2313853"]}, {"id": "8628cb21f0ba3c270d731646b350a059204d26a4", "title": "Wide-area Multi-camera Multi-object Tracking with Dynamic Task Decomposition", "addresses": [{"name": "Fondazione Bruno Kessler, Trento, Italy", "source_name": "Fondazione Bruno Kessler, Trento, Italy", "street_adddress": "Via Santa Croce, 77, 38122 Trento TN, Italy", "lat": "46.06273420", "lng": "11.12441070", "type": "edu", "country": "Italy"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659033"]}, {"id": "056d5d942084428e97c374bb188efc386791e36d", "title": "Temporally Robust Global Motion Compensation by Keypoint-based Congealing", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.03968.pdf"], "doi": []}, {"id": "d9bda208addf00a55df23821f6d4abdb85e73599", "title": "Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d9bd/a208addf00a55df23821f6d4abdb85e73599.pdf"], "doi": []}, {"id": "444c99362e81925c1e710eb901e8f3b4659e6a42", "title": "Automated Non-Invasive Measurement of Sperm Motility and Morphology Parameters", "addresses": [{"name": "CReATe Fertility Centre, Toronto, Canada", "source_name": "CReATe Fertility Centre, Toronto, Canada", "street_adddress": "790 Bay St #1100, Toronto, ON M5G 1N8, Canada", "lat": "43.66047100", "lng": "-79.38618970", "type": "company", "country": "Canada"}, {"name": "Mount Sinai Hospital, Toronto, Canada", "source_name": "Mount Sinai Hospital, Toronto, Canada", "street_adddress": "600 University Ave, Toronto, ON M5G 1X5, Canada", "lat": "43.65746340", "lng": "-79.39036930", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461252", "http://doi.org/10.1109/ICRA.2018.8461252"]}, {"id": "361164861d8e4676079219f6d099358a31fc4025", "title": "Multiple Hypothesis Tracking Revisited", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf", "http://web.engr.oregonstate.edu/~lif/MHT_ICCV15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410890", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.533", "http://doi.org/10.1109/ICCV.2015.533"]}, {"id": "2112edee4a60602e9e5dc5e4f9e352f983f0c8c1", "title": "Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration", "addresses": [{"name": "CSIRO, Australia", "source_name": "NICTA, PO Box 6020, St Lucia, QLD 4067, Australia", "street_adddress": "Research Way, Clayton VIC 3168, Australia", "lat": "-37.90627370", "lng": "145.13194490", "type": "edu", "country": "Australia"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1303.4160.pdf"], "doi": []}, {"id": "f496c321dc171ddd1c0f280436fe40722e1b03ce", "title": "Using dominant sets for data association in multi-camera tracking", "addresses": [{"name": "University Ca' Foscari", "source_name": "University Ca' Foscari, Venezia Mestre, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2789126"]}, {"id": "b467f07202aacb8c5f7e053a7fd4e72d0da16b22", "title": "Multiple human tracking based on distributed collaborative cameras", "addresses": [{"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3163-7"]}, {"id": "62d719b40d3c8db3d33f06a5fdc34858c4d498fe", "title": "A comparative view on exemplar \u2018tracking-by-detection\u2019 approaches", "addresses": [{"name": "CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301774", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301774", "http://doi.org/10.1109/AVSS.2015.7301774", "https://hal.archives-ouvertes.fr/hal-01202882/document"]}, {"id": "8e74244e220a1c9e89417caa1ad22f649884d311", "title": "ArtTrack: Articulated Multi-Person Tracking in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01465.pdf"], "doi": []}, {"id": "047fef806e6afb3430bfc6d8a6ab09b48afb9822", "title": "Inference of Complex Trajectories by Means of a Multibehavior and Multiobject Tracking Algorithm", "addresses": [{"name": "Image Processing Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "Image Processing Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6415260", "http://doi.org/10.1109/TCSVT.2013.2241355"]}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "0480b71244b59ed13cfe844c8bac8883a0c40573", "title": "Efficient Second Order Multi-Target Tracking with Exclusion Constraints", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0ef3/b7099e81ecdab031d65c428d11bc6ca4a23c.pdf"], "doi": []}, {"id": "c9baea734a14e4302829769ac39fe8c48fbae5a1", "title": "Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02073.pdf"], "doi": []}, {"id": "f6f12e0fbfce067d02445abde76be0522e4db329", "title": "Online Multiple targets Detection and Tracking from Mobile robot in Cluttered indoor Environments with Depth Camera", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f6f1/2e0fbfce067d02445abde76be0522e4db329.pdf"], "doi": []}, {"id": "42b58427ed3265ad3c46b3e378ab09c26e91117c", "title": "Hierarchical data association and depth-invariant appearance model for indoor multiple objects tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://robotics.szpku.edu.cn/c/publication/paper/ICIP2013-wangcan1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738543", "http://doi.org/10.1109/ICIP.2013.6738543"]}, {"id": "3c3477903b5138fe5e5e007556981387dd391f77", "title": "Online adaptive multiple pedestrian tracking in monocular surveillance video", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2319-3"]}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "cc7e66f2ba9ac0c639c80c65534ce6031997acd7", "title": "Facial Descriptors for Identity-Preserving Multiple People Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/cc7e/66f2ba9ac0c639c80c65534ce6031997acd7.pdf"], "doi": []}, {"id": "b3182d09761014b4efa2787b6a66700b52c979a6", "title": "Real-time scheme for 3-dimensional localizing and tracking of people in multiple camera settings", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8204448"]}, {"id": "2338aef7041339ea4b894441e92267e4a28e4bef", "title": "Tracking Objects with Higher Order Interactions using Delayed Column Generation", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.02413.pdf"], "doi": []}, {"id": "4a64b020c72db15a729939a2c041ef4f5830f0f7", "title": "Challenges of Ground Truth Evaluation of Multi-target Tracking", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W21/papers/Milan_Challenges_of_Ground_2013_CVPR_paper.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/anton13cvprw.pdf", "http://www.milanton.de/files/cvprws2013/cvprws2013-anton.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595955", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.111", "http://doi.org/10.1109/CVPRW.2013.111"]}, {"id": "77a53d4141a8081657ce08b13dc3328ac4a4e689", "title": "You'll never walk alone: Modeling social behavior for multi-target tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2009", "pdf": ["http://europa.informatik.uni-freiburg.de/files/iccv09stefano.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_ICCV_2009/contents/pdf/iccv2009_034.pdf", "http://vision.cse.psu.edu/courses/Tracking/vlpr12/PellegriniNeverWalkAlone.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459260", "http://doi.org/10.1109/ICCV.2009.5459260"]}, {"id": "b64c2baf82c51a7538136c32f5193bdfef946297", "title": "UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b64c/2baf82c51a7538136c32f5193bdfef946297.pdf"], "doi": []}, {"id": "01018a509f32601e1bbf7f0159aad1a513e23f92", "title": "Computers in the Human Interaction Loop", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/0101/8a509f32601e1bbf7f0159aad1a513e23f92.pdf"], "doi": []}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "d04631e40b237ae29cb8d2bd187b04033580e63b", "title": "Multi-cue Based Multi-target Tracking with Boosted MHT", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d046/31e40b237ae29cb8d2bd187b04033580e63b.pdf"], "doi": []}, {"id": "1922082de84afb69c966a7628e86012342b475fd", "title": "Fast Online Tracking With Detection Refinement", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103346", "http://doi.org/10.1109/TITS.2017.2750082"]}, {"id": "5348367971754f6b63bd0c595fc3e331eed8950d", "title": "GM-PHD Filter Based Online Multiple Human Tracking Using Deep Discriminative Correlation Matching", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0004299.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461946", "http://doi.org/10.1109/ICASSP.2018.8461946"]}, {"id": "b5c945e04cdf204358e7964290867b38435ef458", "title": "Sliding-Window Optimization on an Ambiguity-Clearness Graph for Multi-object Tracking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08913.pdf"], "doi": []}, {"id": "52f68dd74f2242a45dbbd1b4ec742bc090a2c2b0", "title": "Rank-1 Tensor Approximation for High-Order Association in Multi-target Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01147-z"]}, {"id": "8dcc1e0f0215dd5fcb6d698c35180d40dadc8dac", "title": "VirtualWorlds as Proxy for Multi-object Tracking Analysis", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06457.pdf"], "doi": []}, {"id": "b3b97439c33063c9c45c305b67dd8f6066052096", "title": "Multi-modal identification and tracking of vehicles in partially observed environments", "addresses": [{"name": "Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany", "source_name": "Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany", "street_adddress": "Technische Universit\u00e4t Berlin Fachgebiet Medienwissenschaft Institut f\u00fcr Sprache und Kommunikation, Ernst-Reuter-Platz 7, 10587 Berlin, Germany", "lat": "52.51297900", "lng": "13.32002900", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer Application Center for Wireless Sensor Systems, Coburg, Germany", "source_name": "Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany", "street_adddress": "96450 Coburg, Germany", "lat": "50.25569800", "lng": "10.95508180", "type": "company", "country": "Germany"}, {"name": "Fraunhofer Institut for Open Communication Technologies (FOKUS)", "source_name": "Fraunhofer Institut for Open Communication Technologies (FOKUS), Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany", "street_adddress": "Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany", "lat": "52.52600000", "lng": "13.31448750", "type": "company", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7275470", "http://doi.org/10.1109/IPIN.2014.7275470"]}, {"id": "b0a1f562a55aae189d6a5cb826582b2e7fb06d3c", "title": "Multi-modal Mean-Fields via Cardinality-Based Clamping", "addresses": [{"name": "CVLab, EPFL, Lausanne, Switzerland", "source_name": "CVLab, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07941.pdf"], "doi": []}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "50797bf1a167ba294f640d3ae237cee962427cf0", "title": "Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by Nonnegative Discretization", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d714.pdf", "http://www.cs.cmu.edu/~iyu/files/cvpr13/cvpr13.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yu_Harry_Potters_Marauders_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619320", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.476", "http://doi.org/10.1109/CVPR.2013.476"]}, {"id": "819cc41c4b5370ef9ad6eaced1fe4005aa5fd2e6", "title": "Multitarget data association with higher-order motion models", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://vision.cse.psu.edu/courses/Tracking/vlpr12/CollinsCVPR2012.pdf", "http://www.cse.psu.edu/~rtc12/Papers/CollinsCVPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247870", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247870", "http://doi.org/10.1109/CVPR.2012.6247870"]}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "4d5c179ffdf09255edadb1bb7233e0c23e55b8b4", "title": "Multi-scale behavior learning for multi-object tracking", "addresses": [{"name": "Harbin Institue of Technology, Harbin, China", "source_name": "Haerbin Institue of Technology, Harbin, China", "street_adddress": "92 Xidazhi St, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150006", "lat": "45.74704360", "lng": "126.63343060", "type": "edu", "country": "China"}, {"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298683"]}, {"id": "5fe89653d22d35cf98a6fe6e6793da82a55f5c9f", "title": "Collaborative Deep Reinforcement Learning for Multi-object Tracking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5fe8/9653d22d35cf98a6fe6e6793da82a55f5c9f.pdf"], "doi": []}, {"id": "349f305fff405c0f38b9df2e1648450eb841fcea", "title": "Multi-target Tracking with Motion Context in Tensor Power Iteration", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Shi_Multi-target_Tracking_with_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.450", "http://doi.org/10.1109/CVPR.2014.450"]}, {"id": "4a0707131dab1c64c03bfa0809b050d34fafeeb5", "title": "Cell Lineage Tracing in Lens-Free Microscopy Videos", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a07/07131dab1c64c03bfa0809b050d34fafeeb5.pdf"], "doi": []}, {"id": "f08b25b904aac24b84e35ee7acbe208a7775f27b", "title": "Changes in Usage of an Indoor Public Space: Analysis of One Year of Person Tracking", "addresses": [{"name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "source_name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "street_adddress": "Kyoto, Kyoto Prefecture, Japan", "lat": "35.01163630", "lng": "135.76802940", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.irc.atr.jp/~drazen/pdf/THMS2015_Brscic.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981971", "http://doi.org/10.1109/THMS.2014.2374172", "https://www.wikidata.org/entity/Q57598239"]}, {"id": "2c39e50b2000fd73f648b25d70321815e410162d", "title": "A Multiple Targets Appearance Tracker Based on Object Interaction Models", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5993525", "http://doi.org/10.1109/TCSVT.2011.2165591"]}, {"id": "f043824a1d6ae1eb2ae1d5c1845c0a050efdf345", "title": "Visual Multiple Target Tracking From a Descending Aerial Platform", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8431915"]}, {"id": "7d6a8c2a857a4eb3d9f6c3c470906f2182c9473a", "title": "Hierarchical Grid-based Multi-People Tracking-by-Detection With Global Optimization", "addresses": [{"name": "German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany", "source_name": "German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany", "street_adddress": "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "lat": "48.08342380", "lng": "11.27563320", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7140789", "http://doi.org/10.1109/TIP.2015.2451013", "https://www.ncbi.nlm.nih.gov/pubmed/26151936", "https://www.wikidata.org/entity/Q40761222"]}, {"id": "c887a86430f0444f71ea4ce6da807455d0435dc7", "title": "A robust NF-GMMCP algorithm for multi-pedestrian tracking", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8284894"]}, {"id": "3507544e326253c47e4896919cccafe97a0c2661", "title": "Confidence Intervals for Tracking Performance Scores", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451433"]}, {"id": "65bccb76384bc95c8fe53f2d2a8e3f048fd880bf", "title": "Bi-label Propagation for Generic Multiple Object Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://mi.eng.cam.ac.uk/~bdrs2/papers/luo_cvpr14.pdf", "http://mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2014-CVPR-Luo.pdf", "http://mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2014-CVPR-Luo.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Luo_Bi-label_Propagation_for_2014_CVPR_paper.pdf", "https://labicvl.github.io/docs/pubs/Wenhan_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909564", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.168", "http://doi.org/10.1109/CVPR.2014.168"]}, {"id": "4a0cec395dfe1ab634f53cf295409281c40ed5c0", "title": "Multi-target tracking with hierarchical data association using main-parts and spatial-temporal feature models", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6667-0"]}, {"id": "c3717efdfd3d19018153d52c21b8b582c9629fbf", "title": "Performance evaluation of multi-target tracking without knowing ground truth", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7527887", "http://ieeexplore.ieee.org/document/7527887/"]}, {"id": "797230c284a24ae7b3c9781f8188a59345b90838", "title": "Improving robot reactivity to passers-by with a faster people detector", "addresses": [{"name": "LAAS-CNRS and Universite Paul Sabatier, Toulouse, France", "source_name": "LAAS-CNRS and Universite Paul Sabatier, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}, {"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7451814", "http://dl.acm.org/citation.cfm?id=2906935", "https://hal.archives-ouvertes.fr/hal-01296641/document"]}, {"id": "6c10226a1f68997d85aa0970521a9ff9507e0caf", "title": "Medical Image Computing and Computer-Assisted Intervention \u2212 MICCAI 2017", "addresses": [{"name": "DKFZ, Heidelberg, Germany", "source_name": "DKFZ, Heidelberg, Germany", "street_adddress": "Im Neuenheimer Feld 280, 69120 Heidelberg, Germany", "lat": "49.41441400", "lng": "8.67296070", "type": "edu", "country": "Germany"}, {"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}, {"name": "Ulm University of Applied Sciences", "source_name": "Ulm University of Applied Sciences, Ulm, Germany", "street_adddress": "Prittwitzstra\u00dfe 10, 89075 Ulm, Germany", "lat": "48.40900000", "lng": "9.99742600", "type": "edu", "country": "Germany"}, {"name": "Universit\u00e9 Laval, Qu\u00e9bec, Canada", "source_name": "Universit\u00e9 Laval, Qu\u00e9bec, Canada", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}, {"name": "Universit\u00e9 de Rennes 1, Rennes, France", "source_name": "Universit\u00e9 de Rennes 1, Rennes, France", "street_adddress": "Rue du Thabor, 35000 Rennes, France", "lat": "48.11592990", "lng": "-1.67296000", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Sherbrooke, Sherbrooke, Canada", "source_name": "Universit\u00e9 de Sherbrooke, Sherbrooke, Canada", "street_adddress": "Administration, 2500 Boulevard de l'Universit\u00e9, Sherbrooke, QC J1K 2R1, Canada", "lat": "45.37681380", "lng": "-71.92560030", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-66185-8"]}, {"id": "1ae3dd081b93c46cda4d72100d8b1d59eb585157", "title": "Online Motion Agreement Tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fea1/0f39b0a77035fb549fc580fd951384b79f9b.pdf"], "doi": []}, {"id": "28bdfdc5fcbb6ecd1d9bf02356e5a80ffe1882b3", "title": "An Improved Particle Filter Approach for Real-time Pedestrian Tracking in Surveillance Video", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://download.atlantis-press.com/article/6695.pdf"], "doi": ["https://doi.org/10.2991/icista.2013.35"]}, {"id": "b498990a90a2b60802f9532fdf88f23caed7e864", "title": "Multiple person tracking using omnidirectional cameras", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6830458", "http://doi.org/10.1109/SIU.2014.6830458"]}, {"id": "2b88c583cd62130f1e2c6921db9703a0c5746a90", "title": "Multicamera tracking of multiple humans based on colored visual hulls", "addresses": [{"name": "University of Crete", "source_name": "University of Crete", "street_adddress": "House of Europe, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a1\u03ad\u03b8\u03c5\u03bc\u03bd\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03bf\u03c5, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, \u039a\u03c1\u03ae\u03c4\u03b7, 930100, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "35.37130240", "lng": "24.47544080", "type": "edu", "country": "Greece"}], "year": "2013", "pdf": ["http://users.ics.forth.gr/~argyros/mypapers/2013_09_etfa_coloredhulls.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6647982", "http://doi.org/10.1109/ETFA.2013.6647982"]}, {"id": "f7dbb15ed72d1282445178dab3368d7676763aa6", "title": "On multi-modal people tracking from mobile platforms in very crowded and dynamic environments", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://www.vision.rwth-aachen.de/media/papers/linderICRA16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487766", "http://doi.org/10.1109/ICRA.2016.7487766"]}, {"id": "5bf6e7599c38ade8ef3b97a3411a7f84418b6062", "title": "Pedestrian detection with LeNet-like convolutional networks", "addresses": [{"name": "Universidad Rey Juan Carlos, M\u00f3stoles, Spain", "source_name": "Universidad Rey Juan Carlos, M\u00f3stoles, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-017-3197-z"]}, {"id": "46bdfee362a4de978d24d53fd704d64d82273718", "title": "Crowd Tracking with Dynamic Evolution of Group Structures", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}, {"name": "Shenzhen, China", "source_name": "Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940139.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_10"]}, {"id": "6bda2c2ab87ce2fda3b2f7e87643835f921551a0", "title": "Camera Self-Calibration Based on Nonlinear Optimization and Applications in Surveillance Systems", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364242", "http://doi.org/10.1109/TCSVT.2015.2511812"]}, {"id": "9bf0db2da5fcf245d353350f69c8eed8a63eaaeb", "title": "Robust Online Multiobject Tracking With Data Association and Track Management", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6807759", "http://doi.org/10.1109/TIP.2014.2320821", "https://www.ncbi.nlm.nih.gov/pubmed/24801247", "https://www.wikidata.org/entity/Q30815170"]}, {"id": "0f07dcf92588945eb0d70893cdf0fe4a48552763", "title": "Detection- and Trajectory-Level Exclusion in Multiple Object Tracking", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d682.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Milan_Detection-_and_Trajectory-Level_2013_CVPR_paper.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/anton13cvpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619316", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.472", "http://doi.org/10.1109/CVPR.2013.472"]}, {"id": "46f698dacdb5f76d6b4dae67cb1ae4da2b789398", "title": "Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05990.pdf"], "doi": []}, {"id": "3c7d2ac29c867600d3bda5b356db76e3a5014a71", "title": "Decentralized particle filter for joint individual-group tracking", "addresses": [{"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": ["http://www.lorisbazzani.info/papers/proceedings/Bazzanietal_CVPR12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247888", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247888", "http://doi.org/10.1109/CVPR.2012.6247888"]}, {"id": "29acb73f1aec78996d77eede7a7b72e892be9a84", "title": "Multitarget Tracking Using Hough Forest Random Field", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295597", "http://doi.org/10.1109/TCSVT.2015.2489438"]}, {"id": "f2b627f11a36c359de9aab6c44796e1d30d30b64", "title": "Multiple Pedestrian Tracking From Monocular Videos in an Interacting Multiple Model Framework", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141418", "http://doi.org/10.1109/TIP.2017.2779856", "https://www.ncbi.nlm.nih.gov/pubmed/29990195"]}, {"id": "cf6b966a2d45fd44ef8f86cf0ba805cdc4d4ad57", "title": "Online multi-person tracking assist by high-performance detection", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11227-017-2202-8"]}, {"id": "0c8769bf0501fdd7fbc94ca81601de4a40679295", "title": "On Duality Of Multiple Target Tracking and Segmentation", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04542.pdf"], "doi": []}, {"id": "67c25e73b89166563cf5b70ffc043bbff23a321c", "title": "Handling of False Stationary Detections in Background Subtraction in Video Preprocessing", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/67c2/5e73b89166563cf5b70ffc043bbff23a321c.pdf"], "doi": []}, {"id": "3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc", "title": "Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory", "addresses": [{"name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "source_name": "Chongqing Vocational Institute of Engineering, Chongqing, China", "street_adddress": "Zoumaliang Rd, Banan Qu, Chongqing Shi, China", "lat": "29.42475500", "lng": "106.53683700", "type": "edu", "country": "China"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451174", "http://doi.org/10.1109/ICIP.2018.8451174"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "2781de1aa6f4c9621ad3af38fc58b894696f1791", "title": "FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1407.6251.pdf"], "doi": []}, {"id": "28b59fcd3d642f8d92a7c868c0076b00bd7f55cf", "title": "Multi-target tracking in team-sports videos via multi-level context-conditioned latent behaviour models", "addresses": [{"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/28b5/9fcd3d642f8d92a7c868c0076b00bd7f55cf.pdf"], "doi": []}, {"id": "5e024e0fd57ab03e4fc767ffa5fa4c71328d5ad7", "title": "Kalman Filter Based Multiple Human Tracking Method in Auto-aligned Multi-Camera Environment", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Korea University of Science and Technology", "source_name": "Division of Nano & Information Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Korea", "street_adddress": "217 Gajeong-ro, Sinseong-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.38513950", "lng": "127.36834130", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441884", "http://doi.org/10.1109/URAI.2018.8441884"]}, {"id": "21a82c06f71a99ce40f5ffb72fe2908abac8433c", "title": "Track-oriented evaluation of multi-target tracking without knowing ground truth", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8009730", "http://doi.org/10.23919/ICIF.2017.8009730"]}, {"id": "813dc79f5f439050d68c923a410940d0d139ceb2", "title": "Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model", "addresses": [{"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-24965-5_63"]}, {"id": "54c5fad54492650f6eccb90bafcab8c2b779ee2f", "title": "Real-time text tracking in natural scenes", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/54c5/fad54492650f6eccb90bafcab8c2b779ee2f.pdf"], "doi": []}, {"id": "1849b903e19b3abfeff7b0c86cc875f6b42b0818", "title": "Leveraging weak segmentation for multi-object tracking system", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122579", "http://doi.org/10.1109/SMC.2017.8122579"]}, {"id": "d7c094f5be41a13a579d8922ec4d50c70be1c276", "title": "Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive Likelihoods", "addresses": [{"name": "Marquette University", "source_name": "Marquette University", "street_adddress": "Marquette University, West Wisconsin Avenue, University Hill, Milwaukee, Milwaukee County, Wisconsin, 53226, USA", "lat": "43.03889625", "lng": "-87.93155450", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7c0/94f5be41a13a579d8922ec4d50c70be1c276.pdf"], "doi": []}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "7e6f7ce8ec6f62c4bf68f84207973914fc8e79b9", "title": "Exploring bounding box context for multi-object tracker fusion", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.vision.rwth-aachen.de/media/papers/breuersWACV16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477564", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477564", "http://doi.org/10.1109/WACV.2016.7477564"]}, {"id": "d914c53cdf26acc64259d381fbd45c4e150633ee", "title": "Pedestrian Tracking in the Compressed Domain Using Thermal Images", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d914/c53cdf26acc64259d381fbd45c4e150633ee.pdf"], "doi": []}, {"id": "4b8ecd100d6640fd7659be2715c86b7a9103240b", "title": "Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4b8e/cd100d6640fd7659be2715c86b7a9103240b.pdf"], "doi": []}, {"id": "e7c2670a0785d0fa1fd768f5c119f0e43a376b97", "title": "Automated Non-Invasive Measurement of Single Sperm\u2019s Motility and Morphology", "addresses": [{"name": "CReATe Fertility Centre, Toronto, Canada", "source_name": "CReATe Fertility Centre, Toronto, Canada", "street_adddress": "790 Bay St #1100, Toronto, ON M5G 1N8, Canada", "lat": "43.66047100", "lng": "-79.38618970", "type": "company", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Mount Sinai Hospital, Toronto, Canada", "source_name": "Mount Sinai Hospital, Toronto, Canada", "street_adddress": "600 University Ave, Toronto, ON M5G 1X5, Canada", "lat": "43.65746340", "lng": "-79.39036930", "type": "edu", "country": "Canada"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8365808", "http://doi.org/10.1109/TMI.2018.2840827", "https://www.ncbi.nlm.nih.gov/pubmed/29993571"]}, {"id": "9b477dde9aabadba1ad2f2f180e755f31af904aa", "title": "Parameter estimation and contextual adaptation for a multi-object tracking CRF model", "addresses": [{"name": "Idiap Research Institute - CH-1920, Martigny, Switzerland", "source_name": "Idiap Research Institute - CH-1920, Martigny, Switzerland", "street_adddress": "Rue Marconi 19, 1920 Martigny, Switzerland", "lat": "46.10937600", "lng": "7.08444300", "type": "edu", "country": "Switzerland"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne - CH-1015, Lausanne, Switzerland", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne - CH-1015, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2013", "pdf": ["http://publications.idiap.ch/downloads/papers/2012/Heili_PETS_2013.pdf", "http://www.idiap.ch/~odobez/publications/HeiliOdobez-IEEE-PETS-2013.pdf", "https://infoscience.epfl.ch/record/192448/files/Heili_PETS_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6523790"]}, {"id": "ef92368c21c1310a6134de0cf5befac4443e3e85", "title": "Event-driven track management method for robust multi-vehicle tracking", "addresses": [{"name": "Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea", "source_name": "Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea", "street_adddress": "223 Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, South Korea", "lat": "35.70270780", "lng": "128.45462720", "type": "edu", "country": "South Korea"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5940458", "http://doi.org/10.1109/IVS.2011.5940458"]}, {"id": "328ffd128c86fe0b2d78fc59f3b83cf9c267ade9", "title": "Socially Constrained Tracking in Crowded Environments Using Shoulder Pose Estimates", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461030", "http://doi.org/10.1109/ICRA.2018.8461030"]}, {"id": "823db29d4c2a79e309ad2b394a4aaa83d9e15284", "title": "Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/823d/b29d4c2a79e309ad2b394a4aaa83d9e15284.pdf"], "doi": []}, {"id": "1b6202f28a66dc73f51eab72b2e0e73520f06c48", "title": "OpenPTrack: Open source multi-camera calibration and people tracking for RGB-D camera networks", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://www.dei.unipd.it/~munaro/media/Munaro_PCL-RAS2015.pdf"], "doi": ["https://doi.org/10.1016/j.robot.2015.10.004"]}, {"id": "7da261ca2cff495bd7744504797c4c3d5b8b9b4c", "title": "Particle PHD Filter Based Multiple Human Tracking Using Online Group-Structured Dictionary Learning", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}, {"name": "State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China", "source_name": "State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China", "street_adddress": "5 Zhongguancun S St, Haidian Qu, Beijing Shi, China", "lat": "39.96038900", "lng": "116.31856700", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8318585", "http://doi.org/10.1109/ACCESS.2018.2816805"]}, {"id": "0824768412cf2c3e9f550025eee06bb34e5f3afd", "title": "Latent Data Association: Bayesian Model Selection for Multi-target Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Segal_Latent_Data_Association_2013_ICCV_paper.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/segal_etal_iccv2013/segal_etal_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751472", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.361", "http://doi.org/10.1109/ICCV.2013.361"]}, {"id": "2103bb6772bf01e43a8a4e8e34f16baac7d7c331", "title": "Information theoretic sensor management for multi-target tracking with a single pan-tilt-zoom camera", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/WACV_2014_Cristani.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/01/06836009.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836009", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836009", "http://doi.org/10.1109/WACV.2014.6836009"]}, {"id": "b88b57d52f6f16986381fa0ba9d5a1387886c157", "title": "Audio-visual tracking by density approximation in a sequential Bayesian filtering framework", "addresses": [{"name": "INRIA Grenoble Rh\u00f4ne-Alpes, France", "source_name": "INRIA Grenoble Rh\u00f4ne-Alpes, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7895564", "http://doi.org/10.1109/HSCMA.2017.7895564"]}, {"id": "d15662886a615521d4205fa1ededb3d794b9f944", "title": "Multi-modal people tracking on a mobile companion robot", "addresses": [{"name": "Ilmenau University of Technology", "source_name": "Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany", "street_adddress": "Ilmenau, Germany", "lat": "50.68435020", "lng": "10.92547280", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Volkhardt-ECMR-2013b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6698856", "http://doi.org/10.1109/ECMR.2013.6698856"]}, {"id": "e95cdc2997760c90aaaac6561c84e68d5f94aa36", "title": "Alextrac: Affinity learning by exploring temporal reinforcement within association chains", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://alex.bewley.ai/papers/BewleyICRA2016_accepted.pdf", "http://www-personal.acfr.usyd.edu.au/f.ramos/Fabio_Ramos_Homepage/Publications_files/ICRA16_1388_FI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487371", "http://doi.org/10.1109/ICRA.2016.7487371"]}, {"id": "c79eb3b4d8324eb824493e53bfcb4d3980398523", "title": "Tracking people within groups with RGB-D data", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": ["http://robotics.dei.unipd.it/images/Papers/Conferences/munaro_iros12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385772", "http://doi.org/10.1109/IROS.2012.6385772"]}, {"id": "a9e0e667537c9059b3050a64d22b8fe86787d913", "title": "Detecting and Tracking Vehicles , Pedestrians , and Bicyclists at Intersections with a Stationary Lidar", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a9e0/e667537c9059b3050a64d22b8fe86787d913.pdf"], "doi": []}, {"id": "5d9822e581ea793bc70998ee8b40c6ae37e5a994", "title": "A classification and clustering method for tracking multiple objects", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301626"]}, {"id": "1a10782ce899b0f884aaa8ef4659976adb5d0699", "title": "Clustering of tracklets for on-line multi-target tracking in networked camera systems", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "VDG Security B.V., Zoetermeer, The Netherlands", "source_name": "VDG Security B.V., Zoetermeer, The Netherlands", "street_adddress": "Platinastraat 65, 2718 SZ Zoetermeer, Netherlands", "lat": "52.03906240", "lng": "4.50348140", "type": "company", "country": "Netherlands"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5945951", "http://doi.org/10.1109/CISDA.2011.5945951"]}, {"id": "6fbf3df212eddaca8d3600065b341ad5174ae5c1", "title": "Dynamic Behavior Analysis via Structured Rank Minimization", "addresses": [{"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/georgakis_ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0985-3"]}, {"id": "3aee2ec5a43d599742af6a87427095b9cdf06a8b", "title": "Hyper-Optimization tools comparison for parameter tuning applications", "addresses": [{"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}, {"name": "LAAS-CNRS, Universit\u00e9 de Toulouse, CNRS, UPS, Toulouse, France", "source_name": "LAAS-CNRS, Université de Toulouse, CNRS, UPS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078499"]}, {"id": "39df8bc28c6a5ba494bf2d31f68bba06acf934a5", "title": "Moving object tracking for aerial video coding using linear motion prediction and block matching", "addresses": [{"name": "Institut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "Institut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38864370", "lng": "9.71259330", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://www.tnt.uni-hannover.de/papers/data/1185/Meuel_et_al_Moving_Object_Tracking_for_Aerial_Video_Coding_using_Linear_Motion_Prediction_and_Block_Matching_PCS2016.pdf", "https://www.tnt.uni-hannover.de/papers/data/1185/Meuel_et_al_Moving_Object_Tracking_for_Aerial_Video_Coding_using_Linear_Motion_Prediction_and_Block_Matching_PCS2016_POSTER.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7906333", "http://doi.org/10.1109/PCS.2016.7906333"]}, {"id": "58c17688fc08eb69ff3b20803a227693289d63c5", "title": "Online multiple objects tracking with detection reliability prior constraint", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5530-z"]}, {"id": "4774b9853968b12156287bd42bb425d79f99e313", "title": "Online Multi-object Tracking Based on Hierarchical Association Framework", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w20/papers/Ju_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789651", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.161", "http://doi.org/10.1109/CVPRW.2016.161"]}, {"id": "a9624e3c04272fe06fcc440a04b373533439c111", "title": "Pattern Recognition and Computer Vision", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-03341-5"]}, {"id": "572791e2f290dc0ecb05e56bfa714c4b7af79b08", "title": "Extended MHT algorithm for multiple object tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2382358"]}, {"id": "817502a2b3d7db07f89158ce2996a9e4bc433a8b", "title": "RefineNet: Refining Object Detectors for Autonomous Driving", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/rakesh_refinenet_2016.pdf", "https://eshed1.github.io/papers/refineNet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944662", "http://doi.org/10.1109/TIV.2017.2695896"]}, {"id": "9a5473662819063cb60c1b29e6544b9314b9b29f", "title": "Predicting Social Interactions for Visual Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f109/9ae1a4c710a3f678a525a4c955245019a9c3.pdf"], "doi": []}, {"id": "7372c1e9cb87dad88bc160536263e461bb7ab04c", "title": "Trajectory energy minimization for cell growth tracking and genealogy analysis", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7372/c1e9cb87dad88bc160536263e461bb7ab04c.pdf"], "doi": []}, {"id": "267bd60e442d87c44eaae3290610138e63d663ab", "title": "PoseTrack: Joint Multi-person Pose Estimation and Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07727.pdf"], "doi": []}, {"id": "1ae8afd68c2bec15ab5d02299c739151cd668ca3", "title": "Human behaviour recognition in data-scarce domains", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pure.qub.ac.uk/portal/files/56945093/Baxt1_s2.0_S0031320315000795_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/8744350/1_s2.0_S0031320315000795_main.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2015.02.019"]}, {"id": "2524d9d45471fa8908b17f04060b68e7cfeff841", "title": "Wizard of Oz revisited: Researching on a tour guide robot while being faced with the public", "addresses": [{"name": "University of Applied Sciences Dresden", "source_name": "University of Applied Sciences Dresden, Artificial Intelligence Lab, Germany", "street_adddress": "01069 Dresden, Germany", "lat": "51.02927340", "lng": "13.72899640", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6343833", "http://doi.org/10.1109/ROMAN.2012.6343833"]}, {"id": "8c8a61fc2c0e426aa64e50756b777475f3beb49b", "title": "Robust Marker-Based Tracking for Measuring Crowd Dynamics", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8c8a/61fc2c0e426aa64e50756b777475f3beb49b.pdf"], "doi": []}, {"id": "4643a480f115d5ae96259f204b6712c1e769a699", "title": "Real-Time People Tracking in a Camera Network", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507659"]}, {"id": "8b928332d60e995bce78ff543a2d7a37f1103ac6", "title": "Person Tracking in Large Public Spaces Using 3-D Range Sensors", "addresses": [{"name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "source_name": "Advanced Telecommunication Research Institute International, Kyoto, Japan", "street_adddress": "Kyoto, Kyoto Prefecture, Japan", "lat": "35.01163630", "lng": "135.76802940", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://www.irc.atr.jp/~drazen/pdf/THMS_Brscic_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636027", "http://doi.org/10.1109/THMS.2013.2283945", "https://www.wikidata.org/entity/Q57598258"]}, {"id": "89f680a78d118f14753056496dd26059ca08a6c7", "title": "A Modified MDP Algorithm for Multi-Pedestrians Tracking", "addresses": [{"name": "National University of Defense Technology University", "source_name": "National University of Defense Technology University, College of Intelligent Science, Changsha, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8469500"]}, {"id": "e8cda2c754670850ec722799640c6cb42dfb8199", "title": "4D Generic Video Object Proposals", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09260.pdf"], "doi": []}, {"id": "61ed130bd12c5ff8170a9bcbb4e108657ec5942a", "title": "Automatic analysis of deep-water remotely operated vehicle footage for estimation of Norway lobster abundance", "addresses": [{"name": "Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia", "source_name": "Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}, {"name": "Centro de Ci\u00eancias do Mar (CCMAR), Portugal", "source_name": "Centro de Ci\u00eancias do Mar (CCMAR) - Campus de Gambelas, Faro, Portugal", "street_adddress": "Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal", "lat": "37.04326800", "lng": "-7.97327500", "type": "edu", "country": "Portugal"}, {"name": "Instituto Portugu\u00eas do Mar e da Atmosfera (IPMA), Divis\u00e3o de Modela\u00e7\u00e3o e Gest\u00e3o de Recursos da Pesca, Lisbon, Portugal", "source_name": "Instituto Portugu\u00eas do Mar e da Atmosfera (IPMA), Divis\u00e3o de Modela\u00e7\u00e3o e Gest\u00e3o de Recursos da Pesca, Lisbon, Portugal", "street_adddress": "R. da Escola Polit\u00e9cnica 27, 1250-099 Lisboa, Portugal", "lat": "38.71718240", "lng": "-9.14978190", "type": "edu", "country": "Portugal"}, {"name": "Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Lisbon, Portugal", "source_name": "Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Lisbon, Portugal", "street_adddress": "Instituto Superior T\u00e9cnico, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal", "lat": "38.73684640", "lng": "-9.13934570", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1631/FITEE.1700720"]}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "5d58d4164493924906231a28153e50342fdf1198", "title": "Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1402.2016.pdf"], "doi": []}, {"id": "b5db3a52a8d22d3a6cc3ea66f7babef7b8503f53", "title": "Visual fish tracking: Combining a two-stage graph approach with CNN-features", "addresses": [{"name": "Friedrich Schiller University Jena", "source_name": "Computer Vision Group, Friedrich Schiller University Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}, {"name": "Fulda University of Applied Sciences", "source_name": "Fulda University of Applied Sciences, Fulda, Germany", "street_adddress": "Leipziger Str. 123, 36037 Fulda, Germany", "lat": "50.56538480", "lng": "9.68825800", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8084691", "http://doi.org/10.1109/OCEANSE.2017.8084691"]}, {"id": "fba5b5a8675d5f9e57243fd7a1320193db321150", "title": "Using The Voice Spectrum For Improved Tracking Of People In A Joint Audio-Video Scheme", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6638333", "http://doi.org/10.1109/ICASSP.2013.6638333"]}, {"id": "fbdc18d9e6bfcbac30b8bb330c71b6f2be48395e", "title": "Online multi-object tracking with convolutional neural networks", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296360", "http://doi.org/10.1109/ICIP.2017.8296360"]}, {"id": "a045ce22bd4372c3b6a1c5ccde5df88974927fc1", "title": "Structural Constraint Data Association for Online Multi-object Tracking", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}, {"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv18_mot1.pdf"], "doi": ["http://doi.org/10.1007/s11263-018-1087-1"]}, {"id": "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "title": "Multi-omnidirectional cameras for ambient intelligence", "addresses": [{"name": "Bo\u011fazi\u00e7i \u00dcniversitesi, Turkey", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, 34342 Bebek, \u0130stanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204823", "http://doi.org/10.1109/SIU.2012.6204823"]}, {"id": "f8549b73b76078a6c89a8c35040c73fcbc884e20", "title": "Classification of road users detected and tracked with LiDAR at intersections", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f854/9b73b76078a6c89a8c35040c73fcbc884e20.pdf"], "doi": []}, {"id": "df01f6be9573a7864e86d960db7cf3cef3a8199d", "title": "Multi-Agent Reinforcement Learning for Multi-Object Tracking", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df01/f6be9573a7864e86d960db7cf3cef3a8199d.pdf"], "doi": []}, {"id": "fbece7c5584662d1da447b12e9a2be6fe626216e", "title": "Template-based people detection using a single downward-viewing fisheye camera", "addresses": [{"name": "Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC", "source_name": "Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC", "street_adddress": "No. 19\u865f, Zhongxing Road, Yangmei District, Taoyuan City, Taiwan 326", "lat": "24.91884430", "lng": "121.18410930", "type": "edu", "country": "Taiwan"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266570", "http://doi.org/10.1109/ISPACS.2017.8266570"]}, {"id": "d84f9b4dd297075aecec1135a280f92c8ce7f1af", "title": "Automatic tracking of multiple zebrafish larvae with resilience against segmentation errors", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8363776", "http://doi.org/10.1109/ISBI.2018.8363776"]}, {"id": "3d1b0c7e9ef0e31dd635041539e795dc07ebee86", "title": "Tracking people in 3D using a bottom-up top-down detector", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/spinelloICRA11.pdf", "http://www2.informatik.uni-freiburg.de/~luber/icra11/spinelloICRA11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5980085", "http://doi.org/10.1109/ICRA.2011.5980085"]}, {"id": "d8bc2e2537cecbe6e751d4791837251a249cd06d", "title": "Assessing tracking performance in complex scenarios using mean time between failures", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cse.psu.edu/~rtc12/Papers/wacv2016CarrCollins.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477617", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477617", "http://doi.org/10.1109/WACV.2016.7477617"]}, {"id": "38079a7f127ee9279ac99c4e18f87e80777cc895", "title": "Multiobject tracking as maximum weight independent set", "addresses": [{"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://web.engr.oregonstate.edu/~sinisa/research/publications/cvpr11_MWIS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995395", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995395", "http://doi.org/10.1109/CVPR.2011.5995395"]}, {"id": "286f443fa85bc9d892ab54878c0ace0264d0dcff", "title": "Principled Parallel Mean-Field Inference for Discrete Random Fields", "addresses": [{"name": "CVLab, EPFL, Lausanne, Switzerland", "source_name": "CVLab, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06103.pdf"], "doi": []}, {"id": "1442f7813f2a14c14f977b2fff833f5c502db59a", "title": "Tracking Multiple Maneuvering Targets Using Integer Programming and Spline Interpolation", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455837", "http://doi.org/10.23919/ICIF.2018.8455837"]}, {"id": "448284cba619e3d0cdf4c0023db91ec3fdcaa349", "title": "Hierarchical Data Association Framework with Occlusion Handling for Multiple Targets Tracking", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714396", "http://doi.org/10.1109/LSP.2014.2300497"]}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "c5ba4e0a8abadb68b3de135e3da522059a99b2cd", "title": "Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://www.dei.unipd.it/~munaro/media/Zennaro_ICME2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177380", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177380", "http://doi.org/10.1109/ICME.2015.7177380"]}, {"id": "d8fcfb25195b71b85cec72edf160f00f160cbe70", "title": "Global data association for the Probability Hypothesis Density filter using network flows", "addresses": [{"name": "University of Koblenz-Landau", "source_name": "Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany", "street_adddress": "Rhabanusstra\u00dfe 3, 55118 Mainz, Germany", "lat": "50.00335000", "lng": "8.25958700", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://www.uni-koblenz.de/~agas/Documents/Wojke2016GDA.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487180", "http://doi.org/10.1109/ICRA.2016.7487180"]}, {"id": "3a92179c7d9f938dd313ea2620f5b3329f167d56", "title": "First-person multiple object tracking in complex traffic scenes", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025475", "http://doi.org/10.1109/ICIP.2014.7025475"]}, {"id": "18219d85bb14f851fc4714df19cc7f38dff8ddc3", "title": "Adaptation of Convolutional Neural Networks for the 2017 DAVIS Challenge on Video Object Segmentation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1821/9d85bb14f851fc4714df19cc7f38dff8ddc3.pdf"], "doi": []}, {"id": "4eb2f74766378c218e01cca0f23db47df00bd1fc", "title": "Robust and low complexity obstacle detection and tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795717", "http://doi.org/10.1109/ITSC.2016.7795717"]}, {"id": "2a547bf34d185f80a0d476148721b6f05c276256", "title": "Detection , Description and Tracking of Ants in Video Sequences", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2a54/7bf34d185f80a0d476148721b6f05c276256.pdf"], "doi": []}, {"id": "4f7b5130d0356ada11f34bf469b2a9c6a00a5e6b", "title": "Online multi-target tracking using non-linear motion estimation", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": ["http://cheonji.kaist.ac.kr/pdfsrc/ic/2014_SJKim_URAI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7057490", "http://doi.org/10.1109/URAI.2014.7057490"]}, {"id": "072457191c91a50bd16df6d211380c9fcc21a057", "title": "Tracking-by-detection of multiple persons by a resample-move particle filter", "addresses": [{"name": "Goi Eskola Politeknikoa, Mondragon, Spain", "source_name": " Goi Eskola Politeknikoa, Mondragon Goi Unibertsitatea, Mondragon, Spain", "street_adddress": "Goiru Kalea, 2, 20500 Arrasate, Gipuzkoa, Spain", "lat": "43.06313740", "lng": "-2.50667930", "type": "edu", "country": "Spain"}, {"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France", "source_name": "Universit\u00e9 de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France", "street_adddress": "Route de Narbonne, 31330 Toulouse, France", "lat": "43.56196870", "lng": "1.47005370", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://homepages.laas.fr/lerasle/pdf/mva13.pdf"], "doi": ["http://doi.org/10.1007/s00138-013-0534-9"]}, {"id": "d0f709ab39e280467d854064132570c1d5316de5", "title": "Multi-Object Tracking and Identification over Sets", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.07960.pdf"], "doi": []}, {"id": "de92ac27693598254554531d8cadfd4728c423a1", "title": "Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02843.pdf"], "doi": []}, {"id": "de608b8696b151405105abef1de66a2199cf1f3c", "title": "Connected Component Model for Multi-Object Tracking", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471478", "http://doi.org/10.1109/TIP.2016.2570553", "https://www.ncbi.nlm.nih.gov/pubmed/28113425", "https://www.wikidata.org/entity/Q39005094"]}, {"id": "7711330fb88e2522a5779a09c1622b75557f9254", "title": "Real-time detection and tracking of pedestrians in CCTV images using a deep convolutional neural network", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7711/330fb88e2522a5779a09c1622b75557f9254.pdf"], "doi": []}, {"id": "751923405938a9f6b9dff74cf34dd34c7427b30f", "title": "Online visual multi-object tracking based on fuzzy logic", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603315", "http://doi.org/10.1109/FSKD.2016.7603315"]}, {"id": "9883759eb90c2aff373b48d31d3e5700b3bd256a", "title": "Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering.", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9883/759eb90c2aff373b48d31d3e5700b3bd256a.pdf"], "doi": []}, {"id": "11ce6be0fa8972659bd288a5f51c152fe38a1881", "title": "Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence", "addresses": [{"name": "BioMerieu, La Balme-les-Grottes", "source_name": "BioMerieu, La Balme-les-Grottes", "street_adddress": "TE, 3 Route de Port Michaud, 38390 La Balme-les-Grottes, France", "lat": "45.85432970", "lng": "5.33203900", "type": "company", "country": "France"}, {"name": "Gipsa-Lab, Saint-Martin d'H\u00e8res, France", "source_name": "Gipsa-Lab, Saint-Martin d'H\u00e8res, France", "street_adddress": "11 Rue des Math\u00e9matiques, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19344150", "lng": "5.76631150", "type": "edu", "country": "France"}, {"name": "Thales Electron Devices, Moirans, France", "source_name": "TED, Moirans, France", "street_adddress": "460 Rue du Pommarin, 38430 Moirans, France", "lat": "45.31513600", "lng": "5.59701400", "type": "company", "country": "France"}, {"name": "Thales Electron Devices (TED), Moirans, France", "source_name": "Thales Electron Devices (TED), Moirans, France", "street_adddress": "Moirans, France", "lat": "45.32616800", "lng": "5.56472200", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389402", "http://doi.org/10.1109/TMI.2016.2520092", "https://www.ncbi.nlm.nih.gov/pubmed/26812705", "https://www.wikidata.org/entity/Q50726598"]}, {"id": "5fad6815cefa1ea061bf495784899e319724df5a", "title": "Multi-pedestrian Tracking Based on Social Forces", "addresses": [{"name": "Shenyang SIASUN Robot & Automation Co., LTD., China, Shenyang, 110168, China", "source_name": "Shenyang SIASUN Robot & Automation Co., LTD., China, Shenyang, 110168, China", "street_adddress": "Hunnan, Shenyang, Liaoning, China, 110168", "lat": "41.65577260", "lng": "123.49176050", "type": "company", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8535956"]}, {"id": "8fe0a35dc47698b45f3812bb502b0921b349ae56", "title": "Online multi-person tracking via robust collaborative model", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025086", "http://doi.org/10.1109/ICIP.2014.7025086"]}, {"id": "00b543d51bf6d16b4027ded325387518cb7fcfe1", "title": "Tracking Ants Through Occlusions", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}, {"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/00b5/43d51bf6d16b4027ded325387518cb7fcfe1.pdf"], "doi": []}, {"id": "9eb891b89443bdfc8434e4c9e08dda0253fd242c", "title": "Evaluation of Probabilistic Occupancy Map for Player Tracking in Team Sports", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9eb8/91b89443bdfc8434e4c9e08dda0253fd242c.pdf"], "doi": []}, {"id": "94bc017ea8795c774c9dd572ee44673a51dc631f", "title": "Appearance and structural motion context for multi-target tracking in aerial video", "addresses": [{"name": "National University of Defense Technology (NUDT)", "source_name": "National University of Defense Technology (NUDT), Changsha, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7984595"]}, {"id": "5646fb8250f8c900e5f281665089363abcfbac8a", "title": "Hough Forest-based Association Framework with Occlusion Handling for Multi-Target Tracking", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7366745", "http://doi.org/10.1109/LSP.2015.2512878"]}, {"id": "fa8bb8ba04432543a65343bd66b4267ccb8d4d89", "title": "Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects", "addresses": [{"name": "University of Bremen", "source_name": "University of Bremen", "street_adddress": "Bibliothekstra\u00dfe 1, 28359 Bremen, Germany", "lat": "53.10675800", "lng": "8.85204000", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.00840.pdf"], "doi": []}, {"id": "1167136efcb52cf49e89b90949149312bab19cc3", "title": "Multi-camera Pedestrian Tracking using Group Structure", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659023"]}, {"id": "78a77643f8040b3b6630985fe4236a302d73e562", "title": "Strongly connected component multi-object tracking", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7924730"]}, {"id": "4fec93d62355224981ff6323cca962e6989c0b1e", "title": "What makes for good multiple object trackers?", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7868601", "http://doi.org/10.1109/ICDSP.2016.7868601"]}, {"id": "94490145def938ca1f8bb265d10b66924937a367", "title": "Iterative Local Model Selection for tracking and mapping", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9449/0145def938ca1f8bb265d10b66924937a367.pdf"], "doi": []}, {"id": "cdf246d2eb993e80786443a984729b874f958657", "title": "Obstacle avoidance using stereo-based generic obstacle tracking", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8215284", "http://doi.org/10.1109/SBR-LARS-R.2017.8215284"]}, {"id": "2ebcb7d0f013fbc7225dd2305d76ff985b43eeec", "title": "Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking", "addresses": [{"name": "KCIS, IIIT Hyderabad, Robotics Research Center, India", "source_name": "KCIS, IIIT Hyderabad, Robotics Research Center, India", "street_adddress": "17, Old Mumbai Hwy, Vinayak Nagar, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44595810", "lng": "78.34959940", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461018"]}, {"id": "0b7f5d25cd1142b5761194f1ebeeba6780aaabb2", "title": "Estimation of the people position in the world coordinate system for video surveillance", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768816060062"]}, {"id": "a07a894108b5ddc19d18e66e969f47a3b2a6e006", "title": "On-the-Fly Performance Evaluation of Large-Scale Fiber Tracking", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a07a/894108b5ddc19d18e66e969f47a3b2a6e006.pdf"], "doi": []}, {"id": "622d84128caf728a77ecc720de4806592fb96e94", "title": "Detection- Tracking for Efficient Person Analysis: The DetTA Pipeline", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594335"]}, {"id": "5a2578a7acea823d3c8ab30b1658a44cc1f63078", "title": "Online multi-person tracking based on global sparse collaborative representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351235", "http://doi.org/10.1109/ICIP.2015.7351235"]}, {"id": "8566231abd7e5bc71ee0bc0da84b8d76ce07a501", "title": "On The Stability of Video Detection and Tracking", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06467.pdf"], "doi": []}, {"id": "37e0b4055a4915ed0c802eb91ac3a72ceb45aa42", "title": "Simultaneous detection and tracking of pedestrian from panoramic laser scanning data", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-3/295/2016/isprs-annals-III-3-295-2016.pdf"], "doi": ["https://doi.org/10.5194/isprs-annals-III-3-295-2016"]}, {"id": "7af8fa8897c6f1ec1e7f9eadb01f74b48c185588", "title": "Improving Global Multi-target Tracking with Local Updates", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7af8/fa8897c6f1ec1e7f9eadb01f74b48c185588.pdf"], "doi": []}, {"id": "3196d8797d600c98d49ea76ccc5dadd5a96e407a", "title": "Collaboration and spatialization for an efficient multi-person tracking via sparse representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301757"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "5417ec4aa67a2b00e4dc4b86a5ef6ddf0b9cdb3d", "title": "Adaptive visual target detection and tracking using incremental appearance learning", "addresses": [{"name": "Shiraz University", "source_name": "Shiraz University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0634\u06cc\u0631\u0627\u0632, \u0645\u06cc\u062f\u0627\u0646 \u0627\u0631\u0645, \u0645\u062d\u062f\u0648\u062f\u0647 \u0634\u0647\u0631\u062f\u0627\u0631\u06cc \u0645\u0646\u0637\u0642\u0647 \u06cc\u06a9 - \u0634\u0647\u0631\u062f\u0627\u0631\u06cc \u0634\u06cc\u0631\u0627\u0632, \u0634\u06cc\u0631\u0627\u0632, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0634\u06cc\u0631\u0627\u0632, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0634\u06cc\u0631\u0627\u0632, \u0627\u0633\u062a\u0627\u0646 \u0641\u0627\u0631\u0633, 71348-34689, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "29.63854740", "lng": "52.52457060", "type": "edu", "country": "Iran"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350958", "http://doi.org/10.1109/ICIP.2015.7350958"]}, {"id": "1ed39db202e606f25aff93f3e4fe135283a50cc2", "title": "Video text detection and recognition: Dataset and benchmark", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2014/09/VideoTextWACV.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836024", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836024", "http://doi.org/10.1109/WACV.2014.6836024"]}, {"id": "07ea8df90f4bf47d24a42aaec3f9b282582e200e", "title": "Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments : Thermal versus Visible Spectrum Video-Based Systems", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}, {"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/07ea/8df90f4bf47d24a42aaec3f9b282582e200e.pdf"], "doi": []}, {"id": "d80f1af929b507593c06442c6ad93e381b40283d", "title": "Labeled multi-Bernoulli track-before-detect for multi-target tracking in video", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7266714", "http://ieeexplore.ieee.org/document/7266714/"]}, {"id": "9829848932525928e5b06a8505dba2edda22c569", "title": "Object modeling and trajectory estimations for traffic analysis", "addresses": [{"name": "University of Bordeaux", "source_name": "UMR 5800, LaBRI, Talence, France", "street_adddress": "Domaine universitaire, 351, cours de la Lib\u00e9ration, 33405 Talence, France", "lat": "44.80837500", "lng": "-0.59670500", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351296", "http://doi.org/10.1109/ICIP.2015.7351296"]}, {"id": "ed0b765d4a477240a5c221c8b05dcc7e3abefd4f", "title": "Comparison and Analysis of Recursive-RANSAC for Multiple Target Tracking", "addresses": [{"name": "Brigham Young University", "source_name": "Brigham Young University, Provo, USA", "street_adddress": "Provo, UT 84602, USA", "lat": "40.25184350", "lng": "-111.64931560", "type": "edu", "country": "United States"}, {"name": "Raytheon Missile Systems, Tucson, USA", "source_name": "Raytheon Missile Systems, Tucson, USA", "street_adddress": "1151 E Hermans Rd, Tucson, AZ 85756, USA", "lat": "32.10536830", "lng": "-110.95133450", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7812590", "http://doi.org/10.1109/TAES.2017.2650818"]}, {"id": "11a1e99fc65fb8567d7f52dce941231ea949db0a", "title": "Subgraph decomposition for multi-target tracking", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/355/tangCVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_064.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_064_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299138", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299138", "http://doi.org/10.1109/CVPR.2015.7299138"]}, {"id": "0d687fb6e1a54abf022990ace6c8f901be9f85e8", "title": "Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "University of Applied Sciences Aschaffenburg", "source_name": "Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany, Germany", "street_adddress": "W\u00fcrzburger Str. 45, 63743 Aschaffenburg, Germany", "lat": "49.97119610", "lng": "9.16056230", "type": "edu", "country": "Germany"}, {"name": "University of Kassel", "source_name": "University of Kassel, Kassel, Germany", "street_adddress": "M\u00f6nchebergstra\u00dfe 19, 34125 Kassel, Germany", "lat": "51.32281900", "lng": "9.50735310", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569267"]}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "1a660d8576ed749610e0e040076d27973aee44ee", "title": "Tracking by Identification Using Computer Vision and Radio", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1a66/0d8576ed749610e0e040076d27973aee44ee.pdf"], "doi": []}, {"id": "dacf0682d0a58af9b5dcfe15243f30aaa2d94a34", "title": "Joint Individual-Group Modeling for Tracking", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/PAMI14_Cristani.pdf", "https://iris.univr.it/retrieve/handle/11562/932903/26873/Bazzanietal_PAMI14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6891328", "http://doi.org/10.1109/TPAMI.2014.2353641", "https://www.ncbi.nlm.nih.gov/pubmed/26353291", "https://www.wikidata.org/entity/Q40558275"]}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "e7a8549865978b478699647bd259f71c516c4479", "title": "Multiple People Tracking-by-Detection in a Multi-camera Environment", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e7a8/549865978b478699647bd259f71c516c4479.pdf"], "doi": []}, {"id": "0e56ba97ea6eac96c57ad4773af88a22d44f41b6", "title": "Online multiple object tracking with the hierarchically adopted GM-PHD filter using motion and appearance", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7804800"]}, {"id": "88d84fb1aab19f756c9d839e2a473834ae4b68b5", "title": "CNN-detector-based multiple homogeneous objects tracking under stochastic wide-range occlusions", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309072", "http://doi.org/10.1109/GlobalSIP.2017.8309072"]}, {"id": "081f0ff96de80b4a29d9f52e6e058bb9482efc2a", "title": "Probability occupancy maps for occluded depth images", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_066.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_066_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_066_ext.pdf", "http://www.idiap.ch/~fleuret/papers/bagautdinov-et-al-cvpr2015.pdf", "https://infoscience.epfl.ch/record/206218/files/bagautdinov.dpom.2015.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298900", "http://doi.org/10.1109/CVPR.2015.7298900"]}, {"id": "8ae88dc7ba177128f89223f48921e3a74d8bf1ff", "title": "Person re-identification in TV series using robust face recognition and user feedback", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-010-0603-2"]}, {"id": "70b23c6d8c713f5663603343b19ea5873b6696cc", "title": "Machine learning in tracking associations with stereo vision and lidar observations for an autonomous vehicle", "addresses": [{"name": "VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Universit\u00e0 degli Studi di Parma, Italy", "source_name": "VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Università degli Studi di Parma, Italy", "street_adddress": "Parco Area delle Scienze, 49, 43124 Parma PR, Italy", "lat": "44.76640040", "lng": "10.30531800", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535456", "http://doi.org/10.1109/IVS.2016.7535456"]}, {"id": "0afc4ce1ec16ef0a9ebb255004348720e0fe8c64", "title": "Real-Time Lexicon-Free Scene Text Localization and Recognition", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": ["http://cmp.felk.cvut.cz/~neumalu1/Neumann_TPAMI2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313008", "http://doi.org/10.1109/TPAMI.2015.2496234", "https://www.ncbi.nlm.nih.gov/pubmed/26540676", "https://www.wikidata.org/entity/Q50779056"]}, {"id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "title": "Tracking Multiple People Online and in Real Time", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "doi": []}, {"id": "4c6ffe1cc479d86adf5126174900e2f23afb22a9", "title": "Tracking multiple people under global appearance constraints", "addresses": [{"name": "CVLab, EPFL, Lausanne, Switzerland", "source_name": "CVLab, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["https://infoscience.epfl.ch/record/167889/files/Tracking_Multiple_People_under_Global_Appearance_Constraints.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126235", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126235", "http://doi.org/10.1109/ICCV.2011.6126235"]}, {"id": "c858c74d30c02be2d992f82a821b925669bfca13", "title": "Computer Vision \u2013 ECCV 2014", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "source_name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-10605-2", "https://doi.org/10.1007/978-3-319-10605-2"]}, {"id": "a91c74e3bdbc560653e25fdb02d337a8d20186f4", "title": "Multiple Human Tracking in RGB-D Data: A Survey", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.04450.pdf"], "doi": []}, {"id": "0d08ab78ce86e053ff3003aef951a5174d56beb8", "title": "A Thermal Infrared Video Benchmark for Visual Analysis", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/PBVS2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-PBVS-2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuFullerTheriaultBetke-PBVS-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Wu_A_Thermal_Infrared_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.39", "http://doi.org/10.1109/CVPRW.2014.39"]}, {"id": "998b6a419e5ad9ed5b9e83ed43ee9688878505f1", "title": "Robust multi-target tracking in outdoor traffic scenarios via persistence topology based robust motion segmentation", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418308", "http://doi.org/10.1109/GlobalSIP.2015.7418308"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "d0fbebf278b7e4f10a25e583743080a57b2b3f3a", "title": "Online multi-target tracking via depth range segmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China", "source_name": "Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China", "street_adddress": "6 Kexueyuan S Rd, Haidian Qu, China, 100080", "lat": "39.98186800", "lng": "116.32686600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309048", "http://doi.org/10.1109/GlobalSIP.2017.8309048"]}, {"id": "db640eddc51258cf6b11e442745d9a4bd5d6995b", "title": "Simple Baselines for Human Pose Estimation and Tracking", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06208.pdf"], "doi": []}, {"id": "a9721f9680bb21a0849a912ed24eec9ba50def9e", "title": "Benchmarking face tracking", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/a972/1f9680bb21a0849a912ed24eec9ba50def9e.pdf"], "doi": []}, {"id": "6e17c16fda71e8cd7abcf5b52b7f6438a69d9958", "title": "Integrating Social Grouping for Multitarget Tracking Across Cameras in a CRF Model", "addresses": [{"name": "University of California at Riverside", "source_name": "University of California at Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467546", "http://doi.org/10.1109/TCSVT.2016.2565978"]}, {"id": "166e7fd811d104254155c90506f2f7e77947534c", "title": "Hidden Hands: Tracking Hands with an Occlusion Aware Tracker", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/Rangesh_Hidden_Hands_Tracking_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w21/papers/Rangesh_Hidden_Hands_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789645", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.155", "http://doi.org/10.1109/CVPRW.2016.155"]}, {"id": "b6cff4ba590eab964bc49e079ed1a72a49d9e3e3", "title": "Multiple object tracking based on motion segmentation of point trajectories", "addresses": [{"name": "CERTH/ITI, Thessaloniki, Greece", "source_name": "CERTH/ITI, Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}, {"name": "ECE/UPATRAS, Patras, Greece", "source_name": "ECE/UPATRAS, Patras, Greece", "street_adddress": "Panepistimioupoli Patron 265 04, Greece", "lat": "38.28833560", "lng": "21.78864870", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": ["http://www.satisfactory-project.eu/satisfactory/wp-content/uploads/2016/08/AVSS_paper_stavropoulos.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738057", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738057", "http://doi.org/10.1109/AVSS.2016.7738057"]}, {"id": "3803a2cffe6866600e0727cec6b0d8fe66d97728", "title": "A Public Video Dataset for Road Transportation Applications", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0835/775c75f1bbfc3316695c7cba9a1d5ee28a12.pdf"], "doi": []}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "4280c600ef8621b6bed27e729cd23535ddd6b5c7", "title": "Dense Multiperson Tracking with Robust Hierarchical Linear Assignment", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6892983"]}, {"id": "321d1f8d13075275b207dd048e9b655aa8846d57", "title": "Thermal Tracking of Sports Players", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/321d/1f8d13075275b207dd048e9b655aa8846d57.pdf"], "doi": []}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "8e679b8f165b46521c76a766ddfb538fa90d3f94", "title": "Audio Assisted Robust Visual Tracking With Adaptive Particle Filtering", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/809042/1/KilicBWK_TMM_2014_postprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975225", "http://doi.org/10.1109/TMM.2014.2377515"]}, {"id": "eb0cf5727275f89323e2cbb4c0f0515b8ece75f8", "title": "A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera", "addresses": [{"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/eb0c/f5727275f89323e2cbb4c0f0515b8ece75f8.pdf"], "doi": []}, {"id": "4b2bafe419e5b40f667601f112c6f6cf8a7c86e3", "title": "Learning to Track Multiple Targets", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6855348", "http://doi.org/10.1109/TNNLS.2014.2333751", "https://www.ncbi.nlm.nih.gov/pubmed/25051561", "https://www.wikidata.org/entity/Q46145646"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "557890cef6e9285909904fa141ccddddc0da90dd", "title": "Target Identity-aware Network Flow for online multiple target tracking", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/projects/TINF/CVPR15_TINF_Poster.pdf", "http://crcv.ucf.edu/papers/cvpr2015/AfshinDehghan_TINF_CVPR15.pdf", "http://crcv.ucf.edu/people/phd_students/afshin//papers/Afshin_Dehghan_TINF_CVPR15.pdf", "http://crcv.ucf.edu/projects/TINF/CVPR15_TINF_Poster.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_004.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_004_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Dehghan_Target_Identity-Aware_Network_2015_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2015/MOT_SSVM_CVPR15_V7_CamReady.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298718", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298718", "http://doi.org/10.1109/CVPR.2015.7298718"]}, {"id": "29875d51da4063707a5e16a90493c69be6fcc006", "title": "UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Intel, Nizhny Novgorod, Russia", "source_name": "Intel, Nizhny Novgorod, Russia", "street_adddress": "Ulitsa Turgeneva, 30, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603024", "lat": "56.31949820", "lng": "44.04123880", "type": "edu", "country": "Russia"}, {"name": "Iowa State University", "source_name": "Iowa State University", "street_adddress": "Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA", "lat": "42.02791015", "lng": "-93.64464415", "type": "edu", "country": "United States"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "National Electronics and Computer Technology Center, Thailand", "source_name": "National Electronics and Computer Technology Center, Thailand", "street_adddress": "112 \u0e2d\u0e38\u0e17\u0e22\u0e32\u0e19\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c \u0e16\u0e19\u0e19\u0e1e\u0e2b\u0e25\u0e42 \u0e22\u0e18\u0e34\u0e19 Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07778590", "lng": "100.60131310", "type": "edu", "country": "Thailand"}, {"name": "National Research Council, Italy", "source_name": "National Research Council, Italy", "street_adddress": "Research Private, Ottawa, ON K1V, Canada", "lat": "45.32909590", "lng": "-75.66198580", "type": "edu", "country": "Canada"}, {"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "Technische Universit\u00e4t Berlin, Germany", "source_name": "Technische Universit\u00e4t Berlin, Germany", "street_adddress": "Stra\u00dfe des 17. Juni 135, 10623 Berlin, Germany", "lat": "52.51253220", "lng": "13.32694460", "type": "edu", "country": "Germany"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078560", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078560", "http://doi.org/10.1109/AVSS.2017.8078560"]}, {"id": "2972997fad77516bbae27fdafc0bb44f0708e806", "title": "Coupling Reranking and Structured Output SVM Co-Train for Multitarget Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.jdl.ac.cn/doc/2011/20171141245037683_coupling%20reranking%20and%20structured%20output%20svm%20co-train%20for%20multitarget%20tracking-tcsvt2016%20yingkun%20xu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7108030", "http://doi.org/10.1109/TCSVT.2015.2433173"]}, {"id": "5e8677eb21c3a5d24c52bcb93404416f7eeebc31", "title": "Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information : Object Tracking under Occlusion", "addresses": [{"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5e86/77eb21c3a5d24c52bcb93404416f7eeebc31.pdf"], "doi": []}, {"id": "f09bcd575c8bea73dcfb413840fb14d6a4caa4a8", "title": "Robust multi-object tracking using confident detections and safe tracklets", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351078", "http://doi.org/10.1109/ICIP.2015.7351078"]}, {"id": "ffc02195ad8eeafa955680b128b99ebccf4b0a91", "title": "A non-command interface for automatic document provision during meetings", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2559191"]}, {"id": "159afb7fb0740f0b48b812ed5183c2229089044d", "title": "A comparative study on multi-person tracking using overlapping cameras", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://gavrila.net/Publications/icvs13.pdf", "http://workshops.acin.tuwien.ac.at/ICVS//downloads/Orals3_ICVS13_paper_id_35_Dariu_Gavrila.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-39402-7_21"]}, {"id": "39b741be40e093f92519cd15cd2deb6e114d6200", "title": "Joint Probabilistic Data Association Revisited", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Rezatofighi_Joint_Probabilistic_Data_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Rezatofighi_Joint_Probabilistic_Data_ICCV_2015_paper.pdf", "http://www.milanton.de/files/iccv2015/iccv2015-hamid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410706", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.349", "http://doi.org/10.1109/ICCV.2015.349"]}, {"id": "60538302d064da95128f19b06413f0a16f5552d2", "title": "A Robust Online Multi-Face Tracking System", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8534679"]}, {"id": "4dbdf48318339a7ce06317137e7aa664ead783ab", "title": "Multiple object tracking based on sparse generative appearance modeling", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.polymtl.ca/litiv/doc/RiahiBilodeauICIP2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351560", "http://doi.org/10.1109/ICIP.2015.7351560"]}, {"id": "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "title": "Crowd Tracking by Group Structure Evolution", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583654", "http://doi.org/10.1109/TCSVT.2016.2615460"]}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "21ad377aeb6ff099c5a59fa82cec95b0bba177bb", "title": "MCMC particle filter-based vehicle tracking method using multiple hypotheses and appearance model", "addresses": [{"name": "Daegu Gyeongbuk Institute of Science & Technology, Korea", "source_name": "Division of Advanced Industrial Science and Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5 floor, 3 research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Republic of Korea", "street_adddress": "223 Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, South Korea", "lat": "35.70270780", "lng": "128.45462720", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6629618", "http://doi.org/10.1109/IVS.2013.6629618"]}, {"id": "2dd3dff173686d66af70e7180fabd8755dd1307d", "title": "Coupling detection and data association for multiple object tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/courses/CAP6412/Spring2013/papers/Wu-tracking-CVPR2012.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012-gray.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-CVPR-2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247896", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247896", "http://doi.org/10.1109/CVPR.2012.6247896"]}, {"id": "32b9be86de4f82c5a43da2a1a0a892515da8910d", "title": "Robust False Positive Detection for Real-Time Multi-target Tracking", "addresses": [{"name": "University of the West of Scotland", "source_name": "University of the West of Scotland", "street_adddress": "Stephenson Place Hamilton International Technology Park Blantyre, Glasgow G72 0LH, United Kingdom", "lat": "55.77824740", "lng": "-4.10409880", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://users.informatik.haw-hamburg.de/~ubicomp/arbeiten/papers/ICISP2014.pdf", "https://pdfs.semanticscholar.org/32b9/be86de4f82c5a43da2a1a0a892515da8910d.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-07998-1_52"]}, {"id": "e1f815c50a6c0c6d790c60a1348393264f829e60", "title": "PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e1f8/15c50a6c0c6d790c60a1348393264f829e60.pdf"], "doi": []}, {"id": "3b8f605c86007f7f22131e7c31ca5c327304589f", "title": "A variational approach to simultaneous tracking and classification of multiple objects", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://www.researchgate.net/profile/Victor_Romero-Cano/publication/262676886_A_Variational_Approach_to_Simultaneous_Tracking_and_Classification_of_Multiple_Objects/links/0a85e5386c2fe3ad41000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6916163", "http://ieeexplore.ieee.org/document/6916163/"]}, {"id": "9355b789dac162ad50c31cdf5d9a196cdc09828e", "title": "Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://escholarship.org/content/qt9w2556kz/qt9w2556kz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467456", "http://doi.org/10.1109/TCSVT.2016.2565998"]}, {"id": "8432cae0d463b46980dc3ba585affaaca90d1072", "title": "Joint tracking and gait recognition of multiple people in video", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296751", "http://doi.org/10.1109/ICIP.2017.8296751"]}, {"id": "075d9baf2ac827327a5fe63bb1f873c4f54f95df", "title": "Robust multi-pose face tracking by multi-stage tracklet association", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://vision.unipv.it/VA/VA-En/TEST/Rendering/Face%20tracking.pdf", "https://cvhci.anthropomatik.kit.edu/~baeuml/downloads/Roth2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460307", "http://ieeexplore.ieee.org/document/6460307/"]}, {"id": "7e02b0bce72a88f2f70b199c5dc87a01fe217832", "title": "Learning Multi-target Tracking with Quadratic Object Interactions", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.2066.pdf"], "doi": []}, {"id": "5df0fed3b37ffac6d0ae7c0a3ccce41c7044e8e8", "title": "Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Groupwise_Tracking_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yu_Groupwise_Tracking_of_CVPR_2016_paper.pdf", "https://cse.sc.edu/~songwang/document/cvpr16.pdf", "https://cvl.cse.sc.edu/Download/2016-Symposium-Hongkai.pdf", "https://cvl.cse.sc.edu/project/cvpr2016_files/1791.pdf", "https://cvl.cse.sc.edu/project/cvpr2016_files/cvpr16-poster-1791.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780478", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.109", "http://doi.org/10.1109/CVPR.2016.109"]}, {"id": "f9f34a0558a58720e1aa55421ff7583f049208a4", "title": "A hierarchical feature model for multi-target tracking", "addresses": [{"name": "Hainan University", "source_name": "Hainan University, China", "street_adddress": "China, \u7b2c\u4e00\u98df\u58022\u697c", "lat": "20.06199000", "lng": "110.32874000", "type": "edu", "country": "China"}, {"name": "Norwegian University of Science and Technology", "source_name": "Norwegian University of Science and Technology, Trondheim, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296755", "http://doi.org/10.1109/ICIP.2017.8296755"]}, {"id": "d5c14e768f91e97c16d6aeac8b108458d3eb8004", "title": "Hyper-parameter optimization tools comparison for multiple object tracking applications", "addresses": [{"name": "LAAS-CNRS, Toulouse, France", "source_name": "LAAS-CNRS, Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0984-1"]}, {"id": "6e32c368a6157fb911c9363dc3e967a7fb2ad9f7", "title": "Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8268/d68f6aa510a765466b2c7f2ba2ea34a48c51.pdf"], "doi": []}, {"id": "4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc", "title": "Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking", "addresses": [{"name": "University of Colorado, Denver", "source_name": "University of Colorado Denver", "street_adddress": "University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA", "lat": "39.74287785", "lng": "-105.00596398", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02143.pdf"], "doi": []}, {"id": "afa24eb881c7011e851f8a12dea32a7293cffefa", "title": "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2282-z", "https://www.wikidata.org/entity/Q57714766"]}, {"id": "529b933b0dc9c657cf829fd9bb7ff7c47d5e6d19", "title": "Integrating crowd simulation for pedestrian tracking in a multi-camera system", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2012/Integrating%20Crowd%20Simulation%20for%20Pedestrian12.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/IntegratingCrowdSimulationforPedestrianTracking14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6470157", "http://ieeexplore.ieee.org/document/6470157/"]}, {"id": "2731da4a48291640b2698cd5909c283484db10c3", "title": "Multiple object tracking by incorporating a particle filter into the min-cost flow model", "addresses": [{"name": "Harbin Institute of Technology (Shenzhen)", "source_name": "Harbin Institute of Technology (Shenzhen)", "street_adddress": "China, Guangdong, Shenzhen, Nanshan, \u5e73\u5c71\u4e00\u8def", "lat": "22.58675200", "lng": "113.96878000", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304259"]}, {"id": "e37c8e2823cc3429caca4420f19adf329c62d313", "title": "Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10256.pdf"], "doi": []}, {"id": "d5bbfef5511d215bd3d3cfee3926d313d48c3001", "title": "Online Multi-Object Tracking Using Hierarchical Constraints for Complex Scenarios", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8064178", "http://doi.org/10.1109/TITS.2017.2750058"]}, {"id": "0b79f0999eab1e2ac586a97dfc9a71809e7ab262", "title": "Joint Modeling of Algorithm Behavior and Image Quality for Algorithm Performance Prediction", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/1084/2cc3dd5f6685cbba3f06504c3bafa88ddffc.pdf"], "doi": []}, {"id": "14bfa18bc0a9eaf28732948813c764390c80acc4", "title": "Joint operator detection and tracking for person following from mobile platforms", "addresses": [{"name": "University of Koblenz-Landau", "source_name": "Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany", "street_adddress": "Rhabanusstra\u00dfe 3, 55118 Mainz, Germany", "lat": "50.00335000", "lng": "8.25958700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://www.uni-koblenz.de/~agas/Documents/Wojke2017JOD.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8009746", "http://doi.org/10.23919/ICIF.2017.8009746"]}, {"id": "62dc594c1eac220d2116506d187d9fdd5ff8e795", "title": "Robust multi-view pedestrian tracking using neural networks", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06370.pdf"], "doi": []}, {"id": "189ff58190c6ef1ff49b46f5c68a7b124b9b0059", "title": "Online Multi-target Tracking using Recurrent Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03635.pdf"], "doi": []}, {"id": "4adb3fb481d5ec33d6161d780162b616ab6c44e2", "title": "Joint Multi-View People Tracking and Pose Estimation for 3D Scene Reconstruction", "addresses": [{"name": "University of Washington (UW)", "source_name": "University of Washington (UW)", "street_adddress": "Seattle, WA 98195, USA", "lat": "47.65533510", "lng": "-122.30351990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486576", "http://doi.ieeecomputersociety.org/10.1109/ICME.2018.8486576", "http://doi.org/10.1109/ICME.2018.8486576"]}, {"id": "b40622567165b372a6e15928ab5ed41413d1d50d", "title": "Object detection and tracking using multi-layer laser for autonomous urban driving", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795564", "http://doi.org/10.1109/ITSC.2016.7795564"]}, {"id": "413f4e770cd05fb382d8ceb4f33cd2726f34b9b3", "title": "Multi-person tracking by discriminative affinity model and hierarchical association", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322838"]}, {"id": "8d7451f5c5849cb0397c3ec8cd7e2081b5d9421d", "title": "Multi-target & multi-detector people tracker for mobile robots", "addresses": [{"name": "Beta Robots, Barcelona, Catalunya, Spain", "source_name": "Beta Robots, Barcelona, Catalunya, Spain", "street_adddress": "Passeig dels Til\u00b7lers, 44, 08520 Corr\u00f3 d'Avall, Barcelona, Spain", "lat": "41.63195600", "lng": "2.29888400", "type": "edu", "country": "Spain"}, {"name": "PAL Robotics, Barcelona, Catalunya, Spain", "source_name": "PAL Robotics, Barcelona, Catalunya, Spain", "street_adddress": "4\u00ba 4\u00aa, Carrer de Pujades, 77, 08005 Barcelona, Spain", "lat": "41.39680080", "lng": "2.19395650", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/83919/1729-Multi-Target---Multi-Detector-People-Tracker-for-Mobile-Robots.pdf;jsessionid=7053C51C7D796486A19C7EAA2CD4887F?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7324223", "http://doi.org/10.1109/ECMR.2015.7324223"]}, {"id": "0f7fdd7f98ee5fbfa7d293e0f1fa399b7a4ec13a", "title": "Two-Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking under Occlusions", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0f7f/dd7f98ee5fbfa7d293e0f1fa399b7a4ec13a.pdf"], "doi": []}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "6eafa9a536d10b460f780e07c0052e7c246059e7", "title": "Automatic individual pig detection and tracking in surveillance videos", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04901.pdf"], "doi": []}, {"id": "f25ad1aa804dd6f7cfb9b02afa371fe1b9bf4378", "title": "Sentioscope: A Soccer Player Tracking System Using Model Field Particles", "addresses": [{"name": "Bilkent University", "source_name": "Bilkent University", "street_adddress": "Bilkent \u00dcniversitesi, 3. Cadde, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87204890", "lng": "32.75395155", "type": "edu", "country": "Turkey"}, {"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7156105", "http://doi.org/10.1109/TCSVT.2015.2455713"]}, {"id": "fe3208c3fd29876fc17a782a2f4f1bf3891bae0e", "title": "Multi-object tracking via MHT with multiple information fusion in surveillance video", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-014-0361-5"]}, {"id": "203abfcc3df8de6606cf34fa32cf225627f52d00", "title": "Learning Robot Vision for Assisted Living", "addresses": [{"name": "University of Alicante", "source_name": "University of Alicante, Alicante, Spain", "street_adddress": "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "lat": "38.38524460", "lng": "-0.51431610", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/203a/bfcc3df8de6606cf34fa32cf225627f52d00.pdf"], "doi": []}, {"id": "25dbf9b12475454585d5050c5cf446e1c4f6dd27", "title": "Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "LiberoVision AG, Zurich", "source_name": "LiberoVision AG, Zurich", "street_adddress": "Technoparkstrasse 1, 8005 Z\u00fcrich, Switzerland", "lat": "47.39029470", "lng": "8.51517680", "type": "company", "country": "Switzerland"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://www.mmp.rwth-aachen.de/publications/pdf/breitenstein-trackingbydetection-pami11.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_00761.pdf", "http://www.vision.rwth-aachen.de/media/papers/breitenstein-trackingbydetection-pami11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5674059", "http://doi.org/10.1109/TPAMI.2010.232", "https://www.ncbi.nlm.nih.gov/pubmed/21173441", "https://www.wikidata.org/entity/Q50690740"]}, {"id": "5be6226f1fa0c3a6f5be829b00f484582d531b6f", "title": "Online multi-model particle filter-based tracking to study bedload transport", "addresses": [{"name": "Universit\u00e9 Grenoble Alpes, France", "source_name": "Université Grenoble Alpes, Irstea, UR ETGR F-38402 St-Martin-d'Hères, France", "street_adddress": "Universit\u00e9 Grenoble Alpes, 1491 Rue des R\u00e9sidences, 38610 Saint-Martin-d'H\u00e8res, France", "lat": "45.19061570", "lng": "5.77493560", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Lyon, UJM-Saint-\u00c9tienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-\u00c9tienne, France", "source_name": "Université de Lyon, UJM-Saint-Étienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-Étienne, France", "street_adddress": "Lyon, France", "lat": "45.76404300", "lng": "4.83565900", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533008", "http://doi.org/10.1109/ICIP.2016.7533008"]}, {"id": "3c307cddf2bf84b4abcc96a362fe385c2d891c9b", "title": "A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7810052"]}, {"id": "71d3ed17c0642234a921bb45fcadd86520794941", "title": "Learning by Tracking: Siamese CNN for Robust Target Association", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07866.pdf"], "doi": []}, {"id": "78f4e29fafad7a0156cff6d14e9b92c8b8533d4c", "title": "Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/CVPR2014/Lywen-CVPR-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Wen_Multiple_Target_Tracking_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909563", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.167", "http://doi.org/10.1109/CVPR.2014.167"]}, {"id": "bb5855056f9a7e4c8f945bd965526302fb5db254", "title": "Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016", "addresses": [{"name": "Harvard Medical School , Boston, USA", "source_name": "Harvard Medical School , Boston, USA", "street_adddress": "25 Shattuck St, Boston, MA 02115, USA", "lat": "42.33563110", "lng": "-71.10411910", "type": "edu", "country": "United States"}, {"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.beck-shop.de/fachbuch/inhaltsverzeichnis/9783540651369_TOC_001.pdf", "https://pdfs.semanticscholar.org/bb58/55056f9a7e4c8f945bd965526302fb5db254.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46720-7"]}, {"id": "ddca5c18415bb855e76f9f459747685ee9c23a4d", "title": "MSMCT: Multi-State Multi-Camera Tracker", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048028", "http://doi.org/10.1109/TCSVT.2017.2755038"]}, {"id": "a8123a4e68642b602b5094f2f670ed7aefdd2f58", "title": "Online Video Object Detection Using Association LSTM", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Lu__Online_Video_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237519", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.257", "http://doi.org/10.1109/ICCV.2017.257"]}, {"id": "e3cc5d86b2032d01c1b40de0da3b7f4458c9c0ee", "title": "Globally Consistent Multi-People Tracking using Motion Patterns", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00604.pdf"], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "5055ec9531d57c6b32e5d122b04602e7441459a3", "title": "Accelerated People Tracking using Texture in a Camera Network", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://www.macs.hw.ac.uk/~greg/publications/lwm.visapp12.pdf", "http://www.scitepress.org/Papers/2012/38138/38138.pdf"], "doi": ["https://doi.org/10.5220/0003813802250234"]}, {"id": "7202235dd82965b4bf18216040e40433f96274cf", "title": "Interacting Tracklets for Multi-Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8370670", "http://doi.org/10.1109/TIP.2018.2843129", "https://www.ncbi.nlm.nih.gov/pubmed/29993548"]}, {"id": "63dd47f7ccf4bb22c1e308b263ec65ae382c86ce", "title": "Multiple target tracking and stationary object detection in video with Recursive-RANSAC and tracker-sensor feedback", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7152426"]}, {"id": "bbdc66937d1ebd5cbde36f3fe8051e168bd69603", "title": "Fluorosocopic sequence denoising using a motion compensated multi-scale temporal filtering", "addresses": [{"name": "Gipsa-lab: CNRS; Universit\u00e9 de Grenoble-Alpes, Saint-Martin-d'H\u00e8res, France", "source_name": "Gipsa-lab: CNRS; Université de Grenoble-Alpes, Saint-Martin-d'Hères, France", "street_adddress": "11 Rue des Math\u00e9matiques, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19344150", "lng": "5.76631150", "type": "edu", "country": "France"}, {"name": "Thales, Moirans, France", "source_name": "Thales, Moirans, France", "street_adddress": "460 Rue du Pommarin, 38430 Moirans, France", "lat": "45.31513600", "lng": "5.59701400", "type": "company", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350887", "http://doi.org/10.1109/ICIP.2015.7350887"]}, {"id": "ba6aec7f1b17833e7983809926a90951469f5520", "title": "People perception from RGB-D cameras for mobile robots", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7419070", "http://doi.org/10.1109/ROBIO.2015.7419070"]}, {"id": "1d8a522bbfddfe86951ea7605c7df058b2c2e1b0", "title": "Video tracking through occlusions by fast audio source localisation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738548", "http://doi.org/10.1109/ICIP.2013.6738548"]}, {"id": "1da09ba7340c77b3f943c15f80ff40f6f9d14eeb", "title": "MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos", "addresses": [{"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2010", "pdf": ["https://arxiv.org/pdf/1406.5095.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "fd23492e0db72f849502d74cf8893c9e70f35678", "title": "Winter 12-1-2011 Detection-assisted Object Tracking by Mobile Cameras", "addresses": [{"name": "University of Nebraska - Lincoln", "source_name": "University of Nebraska - Lincoln", "street_adddress": "Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA", "lat": "40.81747230", "lng": "-96.70444680", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fd23/492e0db72f849502d74cf8893c9e70f35678.pdf"], "doi": []}, {"id": "90c316d4c4bdc94908e68bbe46dd6c90a88e847f", "title": "Global tracker: An online evaluation framework to improve tracking quality", "addresses": [{"name": "INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France", "source_name": "INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/JulienAVSS14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918639", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918639", "http://doi.org/10.1109/AVSS.2014.6918639"]}, {"id": "22d8d50911c6b8994f624267677cf736be3c5a8e", "title": "Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296461", "http://doi.org/10.1109/ICIP.2017.8296461"]}, {"id": "83d0b7100ddce32e37af72585f9aa4181e6447e3", "title": "Online Social Behavior Modeling for Multi-target Tracking", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W22/papers/Zhang_Online_Social_Behavior_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595957", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.113", "http://doi.org/10.1109/CVPRW.2013.113"]}, {"id": "4822c1bf765cf99193a231c000c19ae5d0c10a00", "title": "Multi-object Tracking via Constrained Sequential Labeling", "addresses": [{"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://web.engr.oregonstate.edu/~afern/papers/cvpr14_tracking.pdf", "http://web.engr.oregonstate.edu/~sinisa/research/publications/cvpr14_tracking.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Multi-Object_Tracking_via_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909544", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.148", "http://doi.org/10.1109/CVPR.2014.148"]}, {"id": "a308ad39f3cc25096f493280319621a25c2c7f46", "title": "Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/63af/fa01d5b89d5d7faf89ca8155b88a3ba38759.pdf"], "doi": []}, {"id": "04c96e9b3b7ff1e293aa4a650ce4b49ebf7bd5d6", "title": "Tracking with local spatio-temporal motion patterns in extremely crowded scenes", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://www.cs.drexel.edu/~kon/publication/LKratz_CVPR10.pdf", "https://www.cs.drexel.edu/~kon/publication/LKratz_CVPR10_preprint.pdf", "https://www.cs.drexel.edu/~kon/pubs/LKratz_CVPR10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540149", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2010.5540149", "http://doi.org/10.1109/CVPR.2010.5540149"]}, {"id": "9458642e7645bfd865911140ee8413e2f5f9fcd6", "title": "Efficient Multiple People Tracking Using Minimum Cost Arborescences", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9458/642e7645bfd865911140ee8413e2f5f9fcd6.pdf"], "doi": []}, {"id": "a8f92b47df845b437dbf10b828a742006b75fd27", "title": "Flexible tracklet association for complex scenarios using a Markov Logic Network", "addresses": [{"name": "ONERA, Palaiseau, France", "source_name": "ONERA - The French Aerospace Lab, F-91761 Palaiseau, France", "street_adddress": "8 Chemin de la Huni\u00e8re, 91120 Palaiseau, France", "lat": "48.71467230", "lng": "2.23270940", "type": "edu", "country": "France"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130476", "http://doi.org/10.1109/ICCVW.2011.6130476"]}, {"id": "e5705294bb58bda55f32dfaf6f9783748f0cd7a8", "title": "Random finite set for data association in multiple camera tracking", "addresses": [{"name": "Institute for Infocomm Research, Singapore", "source_name": "Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2011", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202011/pdfs/0001357.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5946664", "http://doi.org/10.1109/ICASSP.2011.5946664"]}, {"id": "bb94a76badb69fd3d11de69f7a09518eca36ca5e", "title": "Occlusion handling for online visual tracking using labeled random set filters", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217567", "http://doi.org/10.1109/ICCAIS.2017.8217567"]}, {"id": "699797728e0e88f9821647dee2c40b86931c1f77", "title": "Online Multi-target Tracking with Strong and Weak Detections", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6997/97728e0e88f9821647dee2c40b86931c1f77.pdf"], "doi": []}, {"id": "76808ece9a138a8df2a28962bf1563208dbde6a3", "title": "V3I-STAL: Visual Vehicle-to-Vehicle Interaction via Simultaneous Tracking and Localization", "addresses": [{"name": "San Diego State University", "source_name": "San Diego State University, San Diego, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77572170", "lng": "-117.07188930", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2964285"]}, {"id": "591a4dddbebd3d3ce3d86f9910be40aafcb73a90", "title": "Multi-Person Tracking by Multicut and Deep Matching", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05404.pdf"], "doi": []}, {"id": "59ce048ce1f01704f37d2d60e033c3382118ecad", "title": "Obtaining three-dimensional trajectory of multiple fish in water tank via video tracking", "addresses": [{"name": "Jingdezhen Ceramic Institute, Jingdezhen, China", "source_name": "Jingdezhen Ceramic Institute, Jingdezhen, China", "street_adddress": "Taoyang S Rd, Zhushan Qu, Jingdezhen Shi, Jiangxi Sheng, China, 333000", "lat": "29.29292600", "lng": "117.25033800", "type": "edu", "country": "China"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5755-5"]}, {"id": "6ec8bb9c7aaec908b76dad89529c5ded7cab8e83", "title": "Continuous Energy Minimization for Multitarget Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Technische Universit\u00e4t Darmstadt", "source_name": "Technische Universit\u00e4t Darmstadt, Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://research.milanton.de/files/pami2014/pami2014-anton.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/papers/2014/milan-pami-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6520846", "http://doi.org/10.1109/TPAMI.2013.103", "https://www.ncbi.nlm.nih.gov/pubmed/24231866", "https://www.wikidata.org/entity/Q48704299"]}, {"id": "58eba9930b63cc14715368acf40017293b8dc94f", "title": "What Do I See? Modeling Human Visual Perception for Multi-person Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7508/ac08dd7b9694bcfe71a617df7fcf3df80952.pdf"], "doi": []}, {"id": "42d9cb791b8aa3a8658e3ac34e41a1bad1935610", "title": "Tracking Sports Players with Context-Conditioned Motion Models", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b830.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Liu_Tracking_Sports_Players_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619083", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.239", "http://doi.org/10.1109/CVPR.2013.239"]}, {"id": "218982f0878a3de667fac2bb18b9f50949aefc1c", "title": "Multi-pose multi-target tracking for activity understanding", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~izadinia/files/PID2616061.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475044", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475044", "http://doi.org/10.1109/WACV.2013.6475044"]}, {"id": "278eead9d16d003e5470bed36f4e3d680e37957b", "title": "Multi-human tracking using part-based appearance modelling and grouping-based tracklet association for visual surveillance applications", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3219-8", "https://www.wikidata.org/entity/Q56528515"]}, {"id": "63bf2c8af992e7306210d23f601840b3ca57b532", "title": "Tracking multiple ants in a colony", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://webpages.uncc.edu/~twfascia/pres/Thomas_WACV2013_Poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475065", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475065", "http://doi.org/10.1109/WACV.2013.6475065"]}, {"id": "22493d8d4d7b4604cae23638dce4981b36e30147", "title": "Learning an Image-Based Motion Context for Multiple People Tracking", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cvgl.stanford.edu/papers/LeaFenKuzRosSavCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Leal-Taixe_Learning_an_Image-based_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909848", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.453", "http://doi.org/10.1109/CVPR.2014.453"]}, {"id": "139302f87b4a23dad87b2f3a2187593f18bcd68c", "title": "Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06897.pdf"], "doi": []}, {"id": "46c9e36647f2d5b40555e4e392dd76807c73f2c2", "title": "Multi-Object Tracking in Airborne Video Imagery based on Compressive Tracking Detection Responses", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2843846"]}, {"id": "aae7648c8b3acad61463cc1bdb4f17da40f819a4", "title": "Context-based multi-target tracking with occlusion handling", "addresses": [{"name": "Auckland University of Technology", "source_name": "Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand", "street_adddress": "31 Symonds St, Auckland, 1010, New Zealand", "lat": "-36.85444260", "lng": "174.76761040", "type": "edu", "country": "New Zealand"}, {"name": "Daimler A.G, Boeblingen, Germany", "source_name": "Daimler A.G, Boeblingen, Germany", "street_adddress": "Hanns-Klemm-Stra\u00dfe 45, 71034 B\u00f6blingen, Germany", "lat": "48.67904910", "lng": "8.97664620", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-016-0770-x"]}, {"id": "e8062a0e50606e2230120e44b38a8cc26f475c22", "title": "Online Discriminative Structured Output SVM Learning for Multi-Target Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6705657"]}, {"id": "1257488885ab81ce41578bb244c258772681791a", "title": "Unified hierarchical multi-object tracking using global data association", "addresses": [{"name": "Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen", "source_name": "Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://mediatum.ub.tum.de/doc/1189672/125319.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6523791"]}, {"id": "1ba97b4f02b09c588c3d5189ecb94ec80c339caf", "title": "Multi-view Tracking of Multiple Targets with Dynamic Cameras", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1ba9/7b4f02b09c588c3d5189ecb94ec80c339caf.pdf"], "doi": []}, {"id": "616b7093cfe6ec679f25d63f62c16e937227258f", "title": "Bayesian Multi-object Tracking Using Motion Context from Multiple Objects", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/wacv15_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045866", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.12", "http://doi.org/10.1109/WACV.2015.12"]}, {"id": "4fc90013e4e2297f33a86db106843917c824d6b9", "title": "Visual object tracking\u2014classical and contemporary approaches", "addresses": [{"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-015-4246-3"]}, {"id": "586c989e12d19a48eb7084a3e07e9149c9fa7092", "title": "Online Scheme for Multiple Camera Multiple Target Tracking Based on Multiple Hypothesis Tracking", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517399", "http://doi.org/10.1109/TCSVT.2016.2593619"]}, {"id": "50137d663802224e683951c48970496b38b02141", "title": "DETRAC: A New Benchmark and Protocol for Multi-Object Tracking", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5013/7d663802224e683951c48970496b38b02141.pdf"], "doi": []}, {"id": "fdc6715efab69e057d53d782e930fd3e700cc7f9", "title": "Robust Multiperson Detection and Tracking for Mobile Service and Social Robots", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Institute for Infocomm Research, Singapore", "source_name": "Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6187748", "http://doi.org/10.1109/TSMCB.2012.2192107", "https://www.ncbi.nlm.nih.gov/pubmed/22542684", "https://www.wikidata.org/entity/Q48790519"]}, {"id": "3369b007683be909b1ff848b73a2787dc13ef0aa", "title": "Multi scale block histogram of template feature for pedestrian detection", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5654039", "http://doi.org/10.1109/ICIP.2010.5654039"]}, {"id": "44b517a544dafbf753f1b16feec26ec2c0c2a8f2", "title": "Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability", "addresses": [{"name": "Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York", "source_name": "Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York", "street_adddress": "1275 York Ave, New York, NY 10065, USA", "lat": "40.76410100", "lng": "-73.95598370", "type": "edu", "country": "United States"}, {"name": "University of Heidelberg", "source_name": "Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany", "street_adddress": "Berliner Str. 43, 69120 Heidelberg, Germany", "lat": "49.41875910", "lng": "8.67554310", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/lou_14_active.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/567785561/lou_14_active.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6698356", "http://doi.org/10.1109/TMI.2013.2296937", "https://www.ncbi.nlm.nih.gov/pubmed/24710154", "https://www.wikidata.org/entity/Q39006803"]}, {"id": "eaf421c589034b422d64c2c590d30959ce2d6c74", "title": "A discrete chain graph model for 3d+t cell tracking with high misdetection robustness", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/kausler_12_discrete.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/1549822464/kausler_12_discrete.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_11"]}, {"id": "c23153aade9be0c941390909c5d1aad8924821db", "title": "Efficient and Accurate Tracking for Face Diarization via Periodical Detection", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c231/53aade9be0c941390909c5d1aad8924821db.pdf"], "doi": []}, {"id": "191e58d41835d59b918759efb9d7b59fd8e5ee00", "title": "Branch and track", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.cs.duke.edu/~steve/papers/posterCvpr11.pdf", "http://www.cs.duke.edu/~steve/papers/posterCvpr11.pdf.pdf.filepart", "http://www.cs.duke.edu/~tomasi/papers/gu/guCvpr11.pdf", "https://users.cs.duke.edu/~tomasi/papers/gu/guCvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995599", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995599", "http://doi.org/10.1109/CVPR.2011.5995599"]}, {"id": "bd7e61b2ad008741b0845fbf3e1a7a3a9805f147", "title": "MTTV - An Interactive Trajectory Visualization and Analysis Tool", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bd7e/61b2ad008741b0845fbf3e1a7a3a9805f147.pdf"], "doi": []}, {"id": "a9607714002b5debc0cf7b96a3def0cc6a005198", "title": "Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04991.pdf"], "doi": []}, {"id": "22db2fd664a4b838149853d1f3390c6022a9ddb2", "title": "Detecting motion synchrony by video tubes", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2071973"]}, {"id": "90c01ab7f0516990e722c366155a796577bd31d8", "title": "A systematic framework for real-time online multi-object tracking", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7338725", "http://doi.org/10.1109/ICCAIS.2015.7338725"]}, {"id": "32f9cfe2e352dd036dc19d30374118c2322f4449", "title": "Global optimal data association for multiple people tracking", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www6.in.tum.de/Main/Publications/Chenlil2013a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631250", "http://doi.org/10.1109/ICRA.2013.6631250"]}, {"id": "4df1eb999ea8b7972e8f8b4ef218866aa16e98d4", "title": "Multi-object tracking with inter-feedback between detection and tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/10509/1/nerocomputing-tracking2016.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.07.028"]}, {"id": "6c58e3a8209fef0e28ca2219726c15ea5f284f4f", "title": "Temporally subsampled detection for accurate and efficient face tracking and diarization", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://publications.idiap.ch/downloads/papers/2016/Le_ICPR_2016.pdf", "http://www.idiap.ch/~odobez/publications/LeHeiliWuOdobez-ICPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899896", "http://doi.org/10.1109/ICPR.2016.7899896", "https://doi.org/10.1109/ICPR.2016.7899896"]}, {"id": "312b5c73d79ae80f9f8e4573118d372cf29a80e8", "title": "Multiple object video tracking using GRASP-MHT", "addresses": [{"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://isif.org/fusion/proceedings/fusion12CD/html/pdf/045_124.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6289822", "http://ieeexplore.ieee.org/document/6289822/"]}, {"id": "aad8d2e32f1cc21eedbdd5e8ebff9f367daa6d92", "title": "Online multi-target tracking by large margin structured learning", "addresses": [{"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2012", "pdf": ["http://cvlab.postech.ac.kr/~bhhan/papers/accv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37431-9_8"]}, {"id": "3b6cbd6eee1b75bf6f608065126408d3c3d71e99", "title": "Online multi-object tracking based on global and local features", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805435", "http://doi.org/10.1109/VCIP.2016.7805435"]}, {"id": "134994ada9a22f82b81640948afde2252e5ad5f5", "title": "Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cs.albany.edu/~lsw/papers/iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Wu_Simultaneous_Clustering_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751466", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.355", "http://doi.org/10.1109/ICCV.2013.355", "http://www.escience.cn/system/file?fileId=70045"]}, {"id": "9dc42551849d808f66dccf2e02c4f047a69c4d89", "title": "Counting people using gradient boosted trees", "addresses": [{"name": "Hebei Normal University", "source_name": "College of Mathematics and Information Sciences, Hebei Normal University, Shijiazhuang 050024, China", "street_adddress": "Yuhua, Shijiazhuang, Hebei, China, 050024", "lat": "38.00924450", "lng": "114.51817930", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7560388"]}, {"id": "c9efc5823212d700b08da5e482ffd46934ae0f58", "title": "Multi-target tracking with context from interaction feature strings", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c9ef/c5823212d700b08da5e482ffd46934ae0f58.pdf"], "doi": []}, {"id": "488cb054f61378809cdcea5b08b5005d392b07ce", "title": "Tracklet Association with Online Target-Specific Metric Learning", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Wang_Tracklet_Association_with_2014_CVPR_paper.pdf", "https://dr.ntu.edu.sg/bitstream/handle/10220/25754/Tracklet%20association%20with%20online%20target-specific%20metric%20learning.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909557", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.161", "http://doi.org/10.1109/CVPR.2014.161"]}, {"id": "1a52e51428c7a867189a775e274ab04dc35f2bd8", "title": "Fine-grained categorization of fish motion patterns in underwater videos", "addresses": [{"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}, {"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://cbl.uh.edu/pub_files/06130426.pdf", "http://qil.uh.edu/qil/websitecontent/pdf/2015-42.pdf", "http://web.engr.oregonstate.edu/~sinisa/research/publications/ICCV11Workshop.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130426", "http://doi.org/10.1109/ICCVW.2011.6130426"]}, {"id": "4f182750ff26f68d284a416b2fcfc5c53c8e9c24", "title": "Robust online multi-object tracking based on KCF trackers and reassignment", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7905816", "http://doi.org/10.1109/GlobalSIP.2016.7905816"]}, {"id": "e4cf6a559b4002b650dde376005a64b064963b19", "title": "Memory Based Online Learning of Deep Representations from Video Streams", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07368.pdf"], "doi": []}, {"id": "89a7cafc8b001a95373cafc71ca166d9df231385", "title": "Accurate person tracking through changing poses for multi-view action recognition", "addresses": [{"name": "Raytheon BBN Technologies, Cambridge, MA", "source_name": "Raytheon BBN Technologies, Cambridge, MA", "street_adddress": "10 Moulton St, Cambridge, MA 02138, USA", "lat": "42.38980550", "lng": "-71.14759860", "type": "company", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2010", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1924580"]}, {"id": "38b5a83f7941fea5fd82466f8ce1ce4ed7749f59", "title": "Improving multi-target tracking via social grouping", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/grouptracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247899", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247899", "http://doi.org/10.1109/CVPR.2012.6247899"]}, {"id": "5c46e40aa1313e444ddb74cf53c5c7ce0d38366d", "title": "Object identification, enhancement and tracking under dynamic background conditions", "addresses": [{"name": "University of Peradeniya", "source_name": "University of Peradeniya", "street_adddress": "Galaha Rd, 20400, Sri Lanka", "lat": "7.25818990", "lng": "80.59878060", "type": "edu", "country": "Sri Lanka"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069583"]}, {"id": "2f988201fb8316772bca1b44cc0e42f774edd714", "title": "Conditional Random Field (CRF)-Boosting: Constructing a Robust Online Hybrid Boosting Multiple Object Tracker Facilitated by CRF Learning", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2f98/8201fb8316772bca1b44cc0e42f774edd714.pdf"], "doi": []}, {"id": "14d5bd23667db4413a7f362565be21d462d3fc93", "title": "An Online Learned Elementary Grouping Model for Multi-target Tracking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~zqin001/cvpr2014.pdf", "http://www.cs.ucr.edu/~xchen010/papers/CVPR2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909558", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.162", "http://doi.org/10.1109/CVPR.2014.162"]}, {"id": "ce049cdb0582ffd46d2b8725c30ce73e48e796ad", "title": "Tracking individuals in surveillance video of a high-density crowd", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ce04/9cdb0582ffd46d2b8725c30ce73e48e796ad.pdf"], "doi": []}, {"id": "9840b1c84dc8f47979d74be23e2276a12d24164c", "title": "Advances in Visual Computing", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "Desert Research Institute, Reno, USA", "source_name": "Desert Research Institute, Reno, USA", "street_adddress": "2215 Raggio Pkwy, Reno, NV 89512, USA", "lat": "39.57202790", "lng": "-119.80071190", "type": "company", "country": "United States"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}, {"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}, {"name": "Lawrence Berkeley National Laboratory", "source_name": "Lawrence Berkeley National Laboratory", "street_adddress": "1 Cyclotron Rd, Berkeley, CA 94720, USA", "lat": "37.87592770", "lng": "-122.25002740", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "NASA Ames Research Center, Moffett Field, USA", "source_name": "NASA Ames Research Center, Moffett Field, USA", "street_adddress": "Moffett Blvd, Mountain View, CA 94043, USA", "lat": "37.40896040", "lng": "-122.06449830", "type": "gov", "country": "United States"}, {"name": "NVIDIA, Leesburg, USA", "source_name": "NVIDIA, Leesburg, USA", "street_adddress": "Leesburg, VA, USA", "lat": "39.11566150", "lng": "-77.56360150", "type": "company", "country": "United States"}, {"name": "NextGen Interactions, Raleigh, NC", "source_name": "NextGen Interactions, Raleigh, USA", "street_adddress": "Raleigh, NC, USA", "lat": "35.77958970", "lng": "-78.63817870", "type": "company", "country": "United States"}, {"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}, {"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-14249-4"]}, {"id": "7ef33dd6bc689eb17d7696e2de2d36de73507e52", "title": "Towards real-time and low-latency video object tracking by linking tracklets of incomplete detections", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Siqura B.V., Gouda, The Netherlands", "source_name": "Siqura B.V., Gouda, The Netherlands", "street_adddress": "Meridiaan 32, 2801 DA Gouda, Netherlands", "lat": "52.01690360", "lng": "4.68639910", "type": "company", "country": "Netherlands"}], "year": "2013", "pdf": ["http://vca.ele.tue.nl/publications/data/Vijverberg2013a.pdf", "https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636656.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636656", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636656", "http://doi.org/10.1109/AVSS.2013.6636656"]}, {"id": "d82a39da1e524f6ac8b5622002bccb974bc9b69e", "title": "Multihuman Tracking Based on a Spatial\u2013Temporal Appearance Match", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6587854", "http://doi.org/10.1109/TCSVT.2013.2280073"]}, {"id": "17b81e9282da0ba5624ef62f4537bd211a3f5acf", "title": "Linear time offline tracking and lower envelope algorithms", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ftp.cs.duke.edu/~tomasi/papers/gu/guIccv11.pdf", "http://www.cs.duke.edu/~steve/papers/offline.pdf", "http://www.cs.duke.edu/~steve/papers/poster_offline.pdf", "https://users.cs.duke.edu/~tomasi/papers/gu/guIccv11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126451", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126451", "http://doi.org/10.1109/ICCV.2011.6126451"]}, {"id": "50b22fa36b05f175101faa1eeaaf79eacfd9863b", "title": "Multiway histogram intersection for multi-target tracking", "addresses": [{"name": "Air Force Research Lab, USA", "source_name": "Air Force Research Lab, USA", "street_adddress": "26 Electronics Parkway, Rome, NY 13441, USA", "lat": "43.22135160", "lng": "-75.40855770", "type": "mil", "country": "United States"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Intelligent Fusion Technology, Inc, Germantown, MD, USA", "source_name": "Intelligent Fusion Technology, Inc, Germantown, MD, USA", "street_adddress": "20271 Goldenrod Ln, Germantown, MD 20876, USA", "lat": "39.18666240", "lng": "-77.25049360", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7266792", "http://ieeexplore.ieee.org/document/7266792/"]}, {"id": "1260950b06b68b2be42ba54112f5856044e25652", "title": "Tracking pedestrians with bacterial foraging optimization swarms", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2011/Tracking%20Pedestrians%20with%20Bacterial11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949658", "http://doi.org/10.1109/CEC.2011.5949658"]}, {"id": "ef9f61f1a00351a9c38cb0e9ade622a55ff2a148", "title": "Adaptive kernel-based object tracking with robust appereance model using particle filter", "addresses": [{"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6620105"]}, {"id": "4c989676b701495221433b4c174ee6d04051348a", "title": "Interactive Framework for Insect Tracking with Active Learning", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://graphics.uni-konstanz.de/publikationen/Shen2014InteractiveFrameworkInsect/Shen2014InteractiveFrameworkInsect.pdf", "http://www.lfb.rwth-aachen.de/bibtexupload/pdf/SHE14a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977184", "http://doi.org/10.1109/ICPR.2014.471"]}, {"id": "20a2890c92b7ad628aedd25db3384276f0fdaf90", "title": "A Combined Voxel and Particle Filter-Based Approach for Fast Obstacle Detection and Tracking in Automotive Applications", "addresses": [{"name": "University of La Laguna", "source_name": "Departamento de Ingenier\u00eda Inform\u00e1tica, University of La Laguna, Santa Cruz de Tenerife, Spain", "street_adddress": "Calle Padre Herrera, s/n, 38200 San Crist\u00f3bal de La Laguna, Santa Cruz de Tenerife, Spain", "lat": "28.48109410", "lng": "-16.31584430", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725942", "http://doi.org/10.1109/TITS.2016.2616718"]}, {"id": "43461e78874aff6b33b8231daf6068ec7ff15098", "title": "Automated tracing of myelinated axons and detection of the nodes of Ranvier in serial images of peripheral nerves.", "addresses": [{"name": "University of Heidelberg", "source_name": "Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany", "street_adddress": "Berliner Str. 43, 69120 Heidelberg, Germany", "lat": "49.41875910", "lng": "8.67554310", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/kreshuk_et_al-2015-journal_of_the_royal_microscopical_society.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26191646", "http://doi.org/10.1111/jmi.12266"]}, {"id": "7227c1d8f53279041822266c7a6d0ac128e96d05", "title": "Multi-view People Tracking via Hierarchical Trajectory Composition", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Xu_Multi-View_People_Tracking_CVPR_2016_paper.pdf", "http://web.cs.ucla.edu/~yuanluxu/publications/mvot_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Xu_Multi-View_People_Tracking_CVPR_2016_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2016/CVPR2016_multi-camera_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780830", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.461", "http://doi.org/10.1109/CVPR.2016.461"]}, {"id": "828b73e8a4d539eeae82601b5f5a4392818c6430", "title": "Long-Term Tracking by Decision Making", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/828b/73e8a4d539eeae82601b5f5a4392818c6430.pdf"], "doi": []}, {"id": "8338a6a0c1918562d821fa00f13eb30a42aa5b07", "title": "Robust tracking of fish schools using CNN for head identification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-4045-3"]}, {"id": "b4288f34528fbda2d2781454aadccae0d578d59a", "title": "Bayesian 3D Tracking from Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://kobus.ca/research/publications/13/Brau-ICCV-13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Brau_Bayesian_3D_Tracking_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751530", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.418", "http://doi.org/10.1109/ICCV.2013.418"]}, {"id": "81b337f2006cd6c8d5fd148a56cab3e5a662d40d", "title": "Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/81b3/37f2006cd6c8d5fd148a56cab3e5a662d40d.pdf"], "doi": []}, {"id": "750465b63c19e8b33743f8f446413382f0239c97", "title": "Multi-target Tracking and Segmentation via Discriminative Appearance Model", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://www.vis.uky.edu/3dimpvt/assets/papers/17th%20pm/multi-target%20tracking%20and%20segmentation%20via%20discriminative%20appearance%20model.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5955348", "http://doi.ieeecomputersociety.org/10.1109/3DIMPVT.2011.19", "http://doi.org/10.1109/3DIMPVT.2011.19"]}, {"id": "0ebb98011a941ad8800ab06b374dd3e41d17aaea", "title": "Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://mediatum.ub.tum.de/doc/1189673/973900.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d650.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Hofmann_Hypergraphs_for_Joint_2013_CVPR_paper.pdf", "http://www.mmk.ei.tum.de/publ//pdf/13/13hof3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619312", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.468", "http://doi.org/10.1109/CVPR.2013.468"]}, {"id": "6aef7b35776ed2b86b60af096319b9f4fc7f37b8", "title": "Detection-assisted Object Tracking by Mobile Cameras", "addresses": [{"name": "University of Nebraska - Lincoln", "source_name": "University of Nebraska - Lincoln", "street_adddress": "Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA", "lat": "40.81747230", "lng": "-96.70444680", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6aef/7b35776ed2b86b60af096319b9f4fc7f37b8.pdf"], "doi": []}, {"id": "34339f1edc9fb0ac90f363ddbaf39f853495a137", "title": "Capture, analysis and synthesis of photorealistic crowds", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/3433/9f1edc9fb0ac90f363ddbaf39f853495a137.pdf"], "doi": []}, {"id": "27785e060b3aca6f3f6e09497bc32eb58b4cd6bf", "title": "Tracking Pedestrians Using Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://www.cs.drexel.edu/~kon/publication/LKratz_TPAMI11_preprint.pdf", "https://www.cs.drexel.edu/~lak24/publications/TPAMI11_track_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989832", "http://doi.org/10.1109/TPAMI.2011.173", "https://www.ncbi.nlm.nih.gov/pubmed/21844618", "https://www.wikidata.org/entity/Q50674397"]}, {"id": "aac241c0327ceec5fded6646cc5b93e150ca8b06", "title": "Crisis management using multiple camera surveillance systems", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/aac2/41c0327ceec5fded6646cc5b93e150ca8b06.pdf"], "doi": []}, {"id": "13453bbe7b669e0a6ea82cf0f13494e08f00414f", "title": "Multi-object Tracking Using Compressive Sensing Features in Markov Decision Process", "addresses": [{"name": "Le2i FRE2005, CNRS, Arts et M\u00e9tiers, Univ. Bourgogne Franche-Comt\u00e9, UTBM, Belfort, France", "source_name": "Le2i FRE2005, CNRS, Arts et M\u00e9tiers, Univ. Bourgogne Franche-Comt\u00e9, UTBM, Belfort, France", "street_adddress": "Arts et M\u00e9tiers, 75003 Paris, France", "lat": "48.86666460", "lng": "2.35727030", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70353-4_43"]}, {"id": "bc12715a1ddf1a540dab06bf3ac4f3a32a26b135", "title": "Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02781.pdf"], "doi": []}, {"id": "ceef3cce226d2f5977ff4366c5fed0e366a11d84", "title": "Integrating statistical and cognitive model for multi-object tracking in realistic scenarios", "addresses": [{"name": "Otto-von-Guericke-University Magdeburg", "source_name": "Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany", "street_adddress": "Universit\u00e4tspl. 2, 39106 Magdeburg, Germany", "lat": "52.14020530", "lng": "11.64419910", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6148867"]}, {"id": "41b541ff747817dade4653fe6ffcdc50e7b3135b", "title": "A Stochastic Graph Evolution Framework for Robust Multi-target Tracking", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/41b5/41ff747817dade4653fe6ffcdc50e7b3135b.pdf"], "doi": []}, {"id": "5d09fefbcee2410eb448dc75f5957bed8587624b", "title": "How does person identity recognition help multi-person tracking?", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://iris.usc.edu/Outlines/papers/2011/kuo-nevatia-cvpr11.pdf", "http://iris.usc.edu/people/chenghak/download/Kuo_Nevatia_CVPR2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995384", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995384", "http://doi.org/10.1109/CVPR.2011.5995384"]}, {"id": "247a55385a11c070a9bdfce55ad4da6b8bb8d3c6", "title": "Towards Longer Long-Range Motion Trajectories", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8d37/db7aa7e038c1a8bfbf56a90e0676494e70b7.pdf"], "doi": []}, {"id": "6cd51f1699ceb4f433c88de70bbf46b27f527d4a", "title": "A novel solution for multi-camera object tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025472", "http://doi.org/10.1109/ICIP.2014.7025472"]}, {"id": "8c618c038c60a385d220193f87b8b0759aab0fd7", "title": "A Hierarchical Association Framework for Multi-Object Tracking in Airborne Videos", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Vrije Universiteit Brussel", "source_name": "Vrije Universiteit Brussel", "street_adddress": "Vrije Universiteit Brussel, 170, Quai de l'Industrie - Nijverheidskaai, Anderlecht, Brussel-Hoofdstad - Bruxelles-Capitale, R\u00e9gion de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, 1070, Belgi\u00eb / Belgique / Belgien", "lat": "50.84110070", "lng": "4.32377555", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61b3/ae98486724227f57d6473f4cf1b45110b760.pdf"], "doi": []}, {"id": "7c4864065f4e107cb5be49a8dba8cf7d94b8340f", "title": "Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b846.pdf", "http://www.cse.psu.edu/~asad/cvpr_2013.pdf", "http://www.cse.psu.edu/~rtc12/Papers/cvpr2013ButtCollins.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Butt_Multi-target_Tracking_by_2013_CVPR_paper.pdf", "https://wiki.epfl.ch/edicpublic/documents/Candidacy%20exam/03Mul.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619085", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.241", "http://doi.org/10.1109/CVPR.2013.241"]}, {"id": "def340ffd4bc0bc57b33a447d99a3c2f64e1a572", "title": "Multiple neutrophils tracking in vitro array using high-order temporal information", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8512342", "http://doi.org/10.1109/EMBC.2018.8512342", "https://www.ncbi.nlm.nih.gov/pubmed/30440249"]}, {"id": "bf63599a05692ba4c18476f696edf98bc28a4f3d", "title": "Fully Convolutional Neural Networks for Crowd Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.4464.pdf"], "doi": []}, {"id": "82b9a637e55a9faef8f68d00296684c6cf29630a", "title": "Segment-wise online learning based on greedy algorithm for real-time multi-target tracking", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://slsp.kaist.ac.kr/paperdata/Segment-wise_Online_Learning.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350924", "http://doi.org/10.1109/ICIP.2015.7350924"]}, {"id": "ac0fd99c800160043c9d4eb38f369c81f6ae0097", "title": "Automated safety control by video cameras", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "Netherlands Defence Academy", "source_name": "Delft University of Technology and Netherlands Defence Academy", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "mil", "country": "Netherlands"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2383320"]}, {"id": "283d226e346ac3e7685dd9a4ba8ae55ee4f2fe43", "title": "Bayesian Data Association for Temporal Scene Understanding", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/283d/226e346ac3e7685dd9a4ba8ae55ee4f2fe43.pdf"], "doi": []}, {"id": "e225e1b77d87f8a6ee8e7ce3c93994233ba74dcb", "title": "Survey on Contemporary Remote Surveillance Systems for Public Safety", "addresses": [{"name": "VTT Technical Research Centre of Finland, Oulu, Finland", "source_name": "VTT Technical Research Centre of Finland, Oulu, Finland", "street_adddress": "Kaitov\u00e4yl\u00e4 1, 90570 Oulu, Finland", "lat": "65.05667640", "lng": "25.45737150", "type": "company", "country": "Finland"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5422679", "http://doi.org/10.1109/TSMCC.2010.2042446"]}, {"id": "6161ed8a0aa7d5b8791534b093e02e6eca6b1524", "title": "A cost function approach for multi-human tracking", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116556", "http://doi.org/10.1109/ICIP.2011.6116556"]}, {"id": "1e7ca1f8393c1a39e60329fce8560be92ac8c96b", "title": "Learning Spatio-Temporal Information for Multi-Object Tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885605", "http://doi.org/10.1109/ACCESS.2017.2686482"]}, {"id": "5984c4a65c8fbd02be6054c30d929e76b9b9110a", "title": "Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01168.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Kroeger-BMTT@WACV-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046816", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2015.6", "http://doi.org/10.1109/WACVW.2015.6"]}, {"id": "0ff1da972f03085a2bbe87b88940da6201e1aaf9", "title": "Pedestrian detection and tracking using deformable part models and Kalman filtering", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2012", "pdf": ["http://www.davidpublishing.com/davidpublishing/Upfile/11/13/2013/2013111306640390.pdf", "http://www.researchgate.net/profile/Shubham_Mittal5/publication/260244021_Pedestrian_Detection_and_Tracking_Using_Deformable_Part_Models_and_Kalman_Filtering/links/09e41511c32ef1f4fd000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6407106", "http://doi.org/10.1109/ISOCC.2012.6407106"]}, {"id": "e12d5019baca91c3662aef317d406ae884f9c742", "title": "Post-Processing of Multi-Target Trajectories for Traffic Safety Analysis", "addresses": [{"name": "University of Goettingen", "source_name": "Institute of Computer Science University of Goettingen, Data Fusion Group, Germany", "street_adddress": "Goldschmidtstra\u00dfe 7, 37077 G\u00f6ttingen, Germany", "lat": "51.55594460", "lng": "9.94799660", "type": "edu", "country": "Germany"}, {"name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "source_name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "street_adddress": "Rutherfordstra\u00dfe 2, 12489 Berlin, Germany", "lat": "52.42820940", "lng": "13.52918370", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455280", "http://doi.org/10.23919/ICIF.2018.8455280"]}, {"id": "59e9934720baf3c5df3a0e1e988202856e1f83ce", "title": "UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04136.pdf"], "doi": []}, {"id": "b1bbe8b1afb97d590269bae95c34c87a8aa388cb", "title": "Multi-target tracking by continuous energy minimization", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://research.milanton.de/files/cvpr2011/cvpr2011-poster.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/anton11cvpr.pdf", "http://www.milanton.de/files/cvpr2011/cvpr2011-anton.pdf", "http://www.milanton.de/files/cvpr2011/cvpr2011-poster.pdf", "http://www.researchgate.net/profile/Anton_Milan/publication/221364514_Multi-target_tracking_by_continuous_energy_minimization/links/0912f50b342afc3c47000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995311", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995311", "http://doi.org/10.1109/CVPR.2011.5995311"]}, {"id": "b506aa23949b6d1f0c868ad03aaaeb5e5f7f6b57", "title": "Modeling Social and Temporal Context for Video Analysis", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/zqin-phd.pdf"], "doi": ["https://www.base-search.net/Record/3b04a8f520744937ae3394bccbac1d98399bc9af219cd06cb618e7be7340943d"]}, {"id": "3b1fcfd2fdb89b3534e506beda391305f10daf5a", "title": "Perimeter-intrusion event classification for on-line detection using multiple instance learning solving temporal ambiguities", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Siqura B.V., Gouda, The Netherlands", "source_name": "Siqura B.V., Gouda, The Netherlands", "street_adddress": "Meridiaan 32, 2801 DA Gouda, Netherlands", "lat": "52.01690360", "lng": "4.68639910", "type": "company", "country": "Netherlands"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025487", "http://doi.org/10.1109/ICIP.2014.7025487"]}, {"id": "e6a5c128a6697063b2560702f792b97c65db99e2", "title": "Signature-driven multi-target tracking", "addresses": [{"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5711928", "http://ieeexplore.ieee.org/document/5711928/"]}, {"id": "2bcf2bd59219d89f335cbc8d1dd4f431076b4c4c", "title": "Recent advances and trends in visual tracking: A review", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://lshao.staff.shef.ac.uk/pub/Tracking_NeuCom2011.pdf", "http://www.nlpr.ia.ac.cn/2012papers/gjkw/gk26.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2011.07.024"]}]}
\ No newline at end of file diff --git a/site/datasets/final/pa_100k.json b/site/datasets/final/pa_100k.json index f42a2f73..974d7e0b 100644 --- a/site/datasets/final/pa_100k.json +++ b/site/datasets/final/pa_100k.json @@ -1 +1 @@ -{"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "dataset": {"key": "pa_100k", "name_short": "PA-100K", "name_display": "Person Attribute 100K", "name_full": "Person Attribute 100K", "purpose": "Pedestrian analysis", "comment": "", "funded_by": "SenseTime Group Limited, in part by the General Research Fund through the Research Grants Council of Hong Kong under Grants CUHK14213616, CUHK14206114, CUHK14205615, CUHK419412, CUHK14203015, CUHK14207814, and in part by the Hong Kong Innovation and Technology Support Programme Grant ITS/121/15FX", "license": "", "url": "", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "", "ft_share": "Y", "cooperative": "", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "source": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "", "ongoing": "", "images": "", "videos": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "", "notes": "", "derivative_of": ""}, "paper": {"paper_id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "key": "pa_100k", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017", "pdf": [], "address": "", "name": "PA-100K", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237308"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "df293716fbab287f8047378df86c5f81c03fe123", "title": "Dynamic Curriculum Learning for Imbalanced Data Classification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.06783.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "adc95c86c5d5288b8d7d096ca2b77667826d985b", "title": "Self-Referenced Deep Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07598.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "648d6b3e30f2fcb1abcd797b60a45c22f212de0f", "title": "Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486604"]}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "74e38dfeb5abc7ddf077abc01de90f4d0a49c142", "title": "Omni-directional Feature Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05319.pdf"], "doi": []}, {"id": "1d61c77ea9df08c42ae2d222f04ff8291d088e84", "title": "The Pros and Cons: Rank-aware Temporal Attention for Skill Determination in Long Videos", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05538.pdf"], "doi": []}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "78569509e61269f5d2276b80f4fd41c22617ccc4", "title": "Localization Guided Learning for Pedestrian Attribute Recognition", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09102.pdf"], "doi": []}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "dataset": {"key": "pa_100k", "name_short": "PA-100K", "name_display": "Person Attribute 100K", "name_full": "Person Attribute 100K", "purpose": "Pedestrian analysis", "comment": "", "funded_by": "SenseTime Group Limited, in part by the General Research Fund through the Research Grants Council of Hong Kong under Grants CUHK14213616, CUHK14206114, CUHK14205615, CUHK419412, CUHK14203015, CUHK14207814, and in part by the Hong Kong Innovation and Technology Support Programme Grant ITS/121/15FX", "license": "", "url": "", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "", "ft_share": "Y", "cooperative": "", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "source": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "", "ongoing": "", "images": "", "videos": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "", "notes": "", "derivative_of": ""}, "paper": {"paper_id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "key": "pa_100k", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017", "pdf": [], "address": "", "name": "PA-100K", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237308"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "df293716fbab287f8047378df86c5f81c03fe123", "title": "Dynamic Curriculum Learning for Imbalanced Data Classification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.06783.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "adc95c86c5d5288b8d7d096ca2b77667826d985b", "title": "Self-Referenced Deep Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07598.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "648d6b3e30f2fcb1abcd797b60a45c22f212de0f", "title": "Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486604"]}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "74e38dfeb5abc7ddf077abc01de90f4d0a49c142", "title": "Omni-directional Feature Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05319.pdf"], "doi": []}, {"id": "1d61c77ea9df08c42ae2d222f04ff8291d088e84", "title": "The Pros and Cons: Rank-aware Temporal Attention for Skill Determination in Long Videos", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05538.pdf"], "doi": []}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "78569509e61269f5d2276b80f4fd41c22617ccc4", "title": "Localization Guided Learning for Pedestrian Attribute Recognition", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Hong Kong", "source_name": "Hong Kong", "street_adddress": "Hong Kong", "lat": "22.39642800", "lng": "114.10949700", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09102.pdf"], "doi": []}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/final/prid.json b/site/datasets/final/prid.json index 2aab3532..56a7c263 100644 --- a/site/datasets/final/prid.json +++ b/site/datasets/final/prid.json @@ -1 +1 @@ -{"id": "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "dataset": {"key": "prid", "name_short": "PRID", "name_display": "PRID", "name_full": "Person Re-ID Dataset", "purpose": "person re-identification, collected in Graz", "comment": "", "funded_by": "", "license": "", "url": "https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/prid11/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "N", "outdoor": "Y", "campus": "", "cyberspace": "N", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2011", "ongoing": "", "images": "24,541 ", "videos": "", "identities": "934 ", "img_per_person": "", "num_cameras": "2", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "128", "height": "64", "color": "", "gray": "", "tags": "pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": ""}, "paper": {"paper_id": "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "key": "prid", "title": "Person Re-identification by Descriptive and Discriminative Classification", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/4c1b/f0592be3e535faf256c95e27982db9b3d3d3.pdf"], "address": "", "name": "PRID", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "ae8febda8de382422962c4ff73f87d92c5e029df", "title": "Human recognition for following robots with a Kinect sensor", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7866511", "http://doi.org/10.1109/ROBIO.2016.7866511"]}, {"id": "df4525d7d99f7237c864adbcb2dab30d8f7447e0", "title": "Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification", "addresses": [{"name": "Universidade Federal de Minas Gerais, Brazil", "source_name": "Universidade Federal de Minas Gerais, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06969.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "c458db5d616058fbd9de19acc6c82827396cf195", "title": "Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-iccv15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410870", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.513", "http://doi.org/10.1109/ICCV.2015.513"]}, {"id": "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "title": "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "addresses": [{"name": "London, United Kingdom", "source_name": "London, United Kingdom", "street_adddress": "London, Greater London, England, SW1A 2DU, UK", "lat": "51.50732190", "lng": "-0.12764740", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7970176"]}, {"id": "c7ec456099ae2d0eee073ca1d546d7ca57dd4a85", "title": "Transferring clothing parsing from fashion dataset to surveillance", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001667.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952440", "http://doi.org/10.1109/ICASSP.2017.7952440"]}, {"id": "9f1b39e8d157b74181c666e85e5d55550d762409", "title": "Three-Stream Convolutional Networks for Video-based Person Re-Identification", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01652.pdf"], "doi": []}, {"id": "de02043fd479a2bcf23d30ab4496cc4e0d84f699", "title": "Zero-Shot Person Re-identification via Cross-View Consistency", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346474", "http://doi.org/10.1109/TMM.2015.2505083"]}, {"id": "8899b274fdb4ff77de40a15a958ab5ea4b4a6477", "title": "Deep spatio-temporal network for accurate person re-identification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001673"]}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "97527b3c58591926800e3586e13d99a8cf5b17ff", "title": "Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Technology, Princeton, NJ, USA", "source_name": "Siemens Corporate Technology, Princeton, NJ, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-tcsvt17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7994636", "http://doi.org/10.1109/TCSVT.2017.2732822"]}, {"id": "b33bbdac96c3540ebb07c3655643e6badc368c59", "title": "MultiMedia Modeling", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Shanghai Jitotong University", "source_name": "Shanghai Jitotong University, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "University of Newcastle", "source_name": "University of Newcastle", "street_adddress": "University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia", "lat": "-33.35788990", "lng": "151.37834708", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-14442-9"]}, {"id": "b7bc6a2dfe99668457b67007400f5ab760386d0c", "title": "A Siamese inception architecture network for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0843-5"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "9f1ce2cb2c0e7e7ddf620cc59a7342bc04990efa", "title": "An integrated framework for video surveillance in complex environments", "addresses": [{"name": "BV-Tech Ricerca, Rovereto (Italy)", "source_name": "BV-Tech Ricerca, Rovereto (Italy)", "street_adddress": "Via Zeni Fortunato, 8, 38068 Rovereto TN, Italy", "lat": "45.88964970", "lng": "11.03188280", "type": "edu", "country": "Italy"}, {"name": "DISI - University of Trento", "source_name": "DISI - University of Trento, Trento (Italy)", "street_adddress": "Via Sommarive, 9, 38123 Povo,Trento TN, Italy", "lat": "46.06698580", "lng": "11.14982180", "type": "edu", "country": "Italy"}, {"name": "FBK Trento", "source_name": "FBK Trento (Italy)", "street_adddress": "Via Santa Croce, 77, 38122 Trento TN, Italy", "lat": "46.06273420", "lng": "11.12441070", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7580834", "http://doi.org/10.1109/ISC2.2016.7580834"]}, {"id": "7346838bcd4c372fe79cb85ac519e0b4f06fd7b5", "title": "LOMO3D descriptor for video-based person re-identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309044", "http://doi.org/10.1109/GlobalSIP.2017.8309044"]}, {"id": "e9835bb131287d711e5e5435a5df8ce5302acb31", "title": "Person Re-identification by Unsupervised ` 1 Graph Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e983/5bb131287d711e5e5435a5df8ce5302acb31.pdf"], "doi": []}, {"id": "3c84e2ed018dd1d971b526f87e9d7c1f08e6230f", "title": "Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}, {"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2783286"]}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "53baabad70915a852477c2191b8bdb005b8cc4a5", "title": "Temporal-Enhanced Convolutional Network for Person Re-Identification", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53ba/abad70915a852477c2191b8bdb005b8cc4a5.pdf"], "doi": []}, {"id": "7965b2ce7d64991218515e20fc1fc0459fd20a38", "title": "Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11261.pdf"], "doi": []}, {"id": "d6b2d4f1bc08dc3d3922fb43b1b8e3614349f539", "title": "Bur\u00e7in Buket O\u011ful in partial fulfillment of the requirements for the degree of Master of Science in Information Systems , Middle East Technical", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d6b2/d4f1bc08dc3d3922fb43b1b8e3614349f539.pdf"], "doi": []}, {"id": "589b1677d6de28c47693c5816c32698860c32d10", "title": "Tri-modal Person Re-identification with RGB, Depth and Thermal Features", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2013", "pdf": ["http://vbn.aau.dk/files/210202523/triModalPersonReId.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/Workshops/4990a301.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W13/papers/Mgelmose_Tri-modal_Person_Re-identification_2013_CVPR_paper.pdf", "http://www.maia.ub.es/~sergio/linked/cvpr2013pwt.pdf", "http://www.maia.ub.es/~sergio/linked/cvpr2013trimodalpersonreid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595891", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.52", "http://doi.org/10.1109/CVPRW.2013.52"]}, {"id": "d97094aafbcec8e4cb63098b42a7553ffd2cb854", "title": "Human Re-Identification", "addresses": [{"name": "Siemens Corporate Research, Plainsboro, USA", "source_name": "Siemens Corporate Research, Plainsboro, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-40991-7"]}, {"id": "611849b55ef6b164f21e52cefd05300041e72152", "title": "A MultiTask Deep Network for Person Re-Identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6118/49b55ef6b164f21e52cefd05300041e72152.pdf"], "doi": []}, {"id": "30fdf33bdc29c8bb3a2c5b1ff95ffd351c2f8e21", "title": "Joint instance and feature importance re-weighting for person reidentification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001546.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471936", "http://doi.org/10.1109/ICASSP.2016.7471936"]}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "ccf934a335793fe416b0115183783d2c355b64ed", "title": "Query Based Adaptive Re-ranking for Person Re-identification", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ccf9/34a335793fe416b0115183783d2c355b64ed.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "5ec650d4506ac2bb066760420ee8185c93dbb2c1", "title": "Person re-identification using color name descriptor-based sparse representation", "addresses": [{"name": "Chung-Ang University", "source_name": "Chung-Ang University", "street_adddress": "\uc911\uc559\ub300\ud559\uad50, \uc11c\ub2ec\ub85c15\uae38, \ud751\uc11d\ub3d9, \ub3d9\uc791\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 06981, \ub300\ud55c\ubbfc\uad6d", "lat": "37.50882000", "lng": "126.96190000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7868394"]}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "6782b148bd2de66cd73f3d69f481d40cce866fff", "title": "Robust relationship learning to illumination in a camera network", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8330588"]}, {"id": "61dfbdfe718aca026cafa06adc63055bd0fc562e", "title": "A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61df/bdfe718aca026cafa06adc63055bd0fc562e.pdf"], "doi": []}, {"id": "79931447522097044cbc89e4bc2f69dd6e8f0e58", "title": "Person Re-identification by Multi-hypergraph Fusion", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7560601", "http://doi.org/10.1109/TNNLS.2016.2602082", "https://www.ncbi.nlm.nih.gov/pubmed/28113383"]}, {"id": "314142838289cac416098cbc2bbe796dcbd2357b", "title": "Fusion of Interest Point/Image based descriptors for efficient person re-identification", "addresses": [{"name": "University of Paris-Saclay", "source_name": "SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France", "street_adddress": "Courcouronnes, 9 Rue Charles Fourier, 91000 \u00c9vry, France", "lat": "48.62468830", "lng": "2.44325110", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489111", "http://doi.org/10.1109/IJCNN.2018.8489111"]}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "012cdba79f672e45240791d6c52f213640347b54", "title": "Cross-view transformation based sparse reconstruction for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900161", "http://doi.org/10.1109/ICPR.2016.7900161"]}, {"id": "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "title": "Improving Person Re-identification via Pose-Aware Multi-shot Matching", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cho_Improving_Person_Re-Identification_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780520", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.151", "http://doi.org/10.1109/CVPR.2016.151"]}, {"id": "24e6a28c133b7539a57896393a79d43dba46e0f6", "title": "Robust Bayesian method for simultaneous block sparse signal recovery with applications to face recognition", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02057.pdf"], "doi": []}, {"id": "589d06db45e2319b29fc96582ea6c8be369f57ed", "title": "Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/589d/06db45e2319b29fc96582ea6c8be369f57ed.pdf"], "doi": []}, {"id": "c8c714c100a754baf7d86d240ec35207fcf84b06", "title": "Person Re-identification Meets Image Search.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02171.pdf"], "doi": []}, {"id": "f622efd8f7ecdad1b5352ce6d8677f44638425da", "title": "Exploiting multiple detections to learn robust brightness transfer functions in re-identification systems", "addresses": [{"name": "Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy", "street_adddress": "Genoa, Metropolitan City of Genoa, Italy", "lat": "44.40564990", "lng": "8.94625600", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351218", "http://doi.org/10.1109/ICIP.2015.7351218"]}, {"id": "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "title": "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240622"]}, {"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "title": "Person Re-identification by Video Ranking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf"], "doi": []}, {"id": "4622b82a8aff4ac1e87b01d2708a333380b5913b", "title": "Multi-label CNN based pedestrian attribute learning for soft biometrics", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICB2015/Zhu-ICB-15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139070", "http://doi.org/10.1109/ICB.2015.7139070"]}, {"id": "9d6a35541f388db3f4ccf4c457e8ba23eb463654", "title": "Local region partition for person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4817-4"]}, {"id": "df6934f32d0b9810ba29a8155a7712ed1155cf9b", "title": "Tracklet and Signature Representation for Multi-Shot Person Re-Identification", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570441"]}, {"id": "f63d5ff1f11a72bb1ea97996f54a60543312f25e", "title": "Margin-Embedding Canonical Correlation Analysis with Feature Selection for Person Re-Identification", "addresses": [{"name": "Science and Technology on Parallel and Distributed Laboratory, NUDT, Changsha, China", "source_name": "Science and Technology on Parallel and Distributed Laboratory, NUDT, Changsha, 410073, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "edu", "country": "China"}, {"name": "State Key Laboratory of High Performance Computing, NUDT, Changsha, China", "source_name": "State Key Laboratory of High Performance Computing, NUDT, Changsha, 410073, China", "street_adddress": "Pailou Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China, 410012", "lat": "28.17837200", "lng": "112.94713400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451634"]}, {"id": "75a92d92ee59555c847973a7422d7356514cde2d", "title": "Exploiting Multiple Detections for Person Re-Identification", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/75a9/2d92ee59555c847973a7422d7356514cde2d.pdf"], "doi": []}, {"id": "974b9f0af3af675c092b96e7ac68e391cffdcf49", "title": "Person Re-identification Using Data-Driven Metric Adaptation", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/974b/9f0af3af675c092b96e7ac68e391cffdcf49.pdf"], "doi": []}, {"id": "813cc31130ceab1668da1ac6646eea4b6a4be6b6", "title": "A new deep representation for large-scale scene classification", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Zhejiang Huayun, Zhejiang, China", "source_name": "Zhejiang Huayun, Zhejiang, China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5322-5"]}, {"id": "95a7ce2163b3fbd49bb8d0813a9f67e651bea3a5", "title": "Coupled feature spaces learning with joint graph regularization for person re-identification", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7804501", "http://doi.org/10.1109/BESC.2016.7804501"]}, {"id": "54be7b76110de37a8315bad7a4b0cda3bdaace76", "title": "Person Reidentification Using Deep Convnets With Multitask Learning", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pure.qub.ac.uk/portal/files/106210265/bare_jrnl_no_copyright_notice.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734118,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600455", "http://doi.org/10.1109/TCSVT.2016.2619498"]}, {"id": "4679f58139f1be2aab2598378555f277bc299d2a", "title": "Online learning of dynamic multi-view gallery for person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3015-5"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "b866bafa296ae836726a8a1df78639ad9533623b", "title": "Occlusion detector using convolutional neural network for person re-identification", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217564", "http://doi.org/10.1109/ICCAIS.2017.8217564"]}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "1a0a06e659eb075d414286d61bd36931770db799", "title": "Relaxed pairwise learned metric for person re-identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/hirzer_eccv_2012.pdf", "http://lrs.icg.tugraz.at/pubs/hirzer_eccv_2012_poster.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/hirzer_eccv_2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33783-3_56"]}, {"id": "add34d4cbb4ea6c7aba4d4149a8ddaa5c2a00f40", "title": "Person Re-identification Based on Human Body Parts Signature", "addresses": [{"name": "Beijing University of Posts and Telecomm.", "source_name": "Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China", "street_adddress": "10 Xitucheng Rd, BeiTaiPingZhuang, Haidian Qu, Beijing Shi, China, 100876", "lat": "39.96279600", "lng": "116.35810300", "type": "edu", "country": "China"}, {"name": "Shanghai Research Institute of China Telecom. Corporation Limited", "source_name": "Shanghai Research Institute of China Telecom. Corporation Limited", "street_adddress": "1835 Pudong S Rd, Pudong Xinqu, Shanghai Shi, China, 200122", "lat": "31.21619700", "lng": "121.51940300", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659035"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "29401a5ad840cfa2c525003815149d62399e91d1", "title": "Person Reidentification by Minimum Classification Error-Based KISS Metric Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6824754", "http://doi.org/10.1109/TCYB.2014.2323992", "https://www.ncbi.nlm.nih.gov/pubmed/25486658"]}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "639f0d9e9dacc3d6f91aa2b1a9b9152220c24789", "title": "Cross-view analysis by multi-feature fusion for person re-identification", "addresses": [{"name": "Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China", "source_name": "Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877806"]}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "a1e14192035fd64425840d613450d272c43dd39f", "title": "Person re-identification by the marriage of KISS metric learning and post-rank optimization: KISSPOP", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808515"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "a051854861453ae8a5e32ead7deed628c52f7fc5", "title": "Space-time Histograms And Their Application To Person Re-identification In TV Shows", "addresses": [{"name": "CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France", "source_name": "CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France", "street_adddress": "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "lat": "50.60971560", "lng": "3.13728330", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749332"]}, {"id": "9c675774d49be7ba428c80142cb63ed4267d3c46", "title": "Low illumination person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6239-3"]}, {"id": "9ab57be9cd26652fcc02ce994ee53ede05cfa79c", "title": "Online learning on incremental distance metric for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7090533", "http://doi.org/10.1109/ROBIO.2014.7090533"]}, {"id": "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "title": "Dynamic Label Graph Matching for Unsupervised Video Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09297.pdf"], "doi": []}, {"id": "821fb8b05108b7ce5312bc5cac3b0e5d56e279ab", "title": "Specific Person Retrieval via Incomplete Text Description", "addresses": [{"name": "Jiujiang University", "source_name": "Jiujiang University, Jiujiang, China", "street_adddress": "17 Lufeng Rd, Xunyang Qu, Jiujiang Shi, Jiangxi Sheng, China, 332000", "lat": "29.72004900", "lng": "115.99882500", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749347"]}, {"id": "097f482c548075305b5866d7d0fde7b67c30c52d", "title": "Unsupervised Learning of Generative Topic Saliency for Person Re-identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/097f/482c548075305b5866d7d0fde7b67c30c52d.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "afd492a598476b5a9b13e2b6d28a76b0707c0a35", "title": "Open-set Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1408.0872.pdf"], "doi": []}, {"id": "c25a71d01255b96c08dc36e79dc7200347574a04", "title": "Multi-shot person re-identification using a novel video covariance approach", "addresses": [{"name": "Sfax University", "source_name": "Laboratory of Computer and Embedded Systems, Sfax University, Sfax, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019640"]}, {"id": "b9f65f3ea5aef51e7955e1972aefc1dddb400b59", "title": "Weighted hybrid features for person re-identification", "addresses": [{"name": "National University of Sciences and Technology", "source_name": "National University of Sciences and Technology", "street_adddress": "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "33.64434700", "lng": "72.98850790", "type": "edu", "country": "Pakistan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310107", "http://doi.org/10.1109/IPTA.2017.8310107"]}, {"id": "447848afc79a7f78be49450cd330bfdaabdd64d3", "title": "Incremental Kernel Null Foley-Sammon Transform for Person Re-identification", "addresses": [{"name": "Aviation University of Airforce", "source_name": "Aviation University of Airforce, Changchun, 130022, China", "street_adddress": "Fanrong Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130022", "lat": "43.83983040", "lng": "125.32018170", "type": "mil", "country": "China"}, {"name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "source_name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546301"]}, {"id": "167ef72a08832f02e0bb4bb60b61b44adca4f804", "title": "People tracking in multi-camera systems: a review", "addresses": [{"name": "Aix-Marseille University", "source_name": "LSIS - UMR CNRS 7296, Aix-Marseille University, Marseille, France", "street_adddress": "Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France", "lat": "43.29362100", "lng": "5.35806600", "type": "edu", "country": "France"}, {"name": "Toulon University", "source_name": "SeaTech School, Toulon University, La Garde, France", "street_adddress": "\u00c9cole d\u2019Ing\u00e9nieurs SeaTech - Universit\u00e9 de Toulon, Avenue de l'Universit\u00e9, 83130 La Garde, France", "lat": "43.13643020", "lng": "6.01254200", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6638-5"]}, {"id": "2dd2c7602d7f4a0b78494ac23ee1e28ff489be88", "title": "Large scale metric learning from equivalence constraints", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/koestinger_cvpr_2012.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/koestinger_cvpr_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247939", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247939", "http://doi.org/10.1109/CVPR.2012.6247939"]}, {"id": "0e46943b2b12a8df6a62202651555a1d464cebec", "title": "Person Re-identification by Efficient Impostor-Based Metric Learning", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/hirzer_avss_2012.pdf", "http://lrs.icg.tugraz.at/pubs/hirzer_avss_2012_slides.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/hirzer_avss_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.55", "http://doi.org/10.1109/AVSS.2012.55"]}, {"id": "aa8447c65f93670820124e0a99a2b5e3536700be", "title": "Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489698", "http://doi.org/10.1109/IJCNN.2018.8489698"]}, {"id": "9125903bf7aa68920fdca8296f703b9013a877ed", "title": "Deep spatial pyramid for person re-identification", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170814145721/Deep-Spatial-Pyramid-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078492", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078492", "http://doi.org/10.1109/AVSS.2017.8078492"]}, {"id": "7cd5d7f8295b219b029a4231ae5cffb261e00ebe", "title": "Early Active Learning with Pairwise Constraint for Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7cd5/d7f8295b219b029a4231ae5cffb261e00ebe.pdf"], "doi": []}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "e7397f7f0e83494825d63b75bdd40c3879f369cd", "title": "Open-world Person Re-Identification by Multi-Label Assignment Inference", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e739/7f7f0e83494825d63b75bdd40c3879f369cd.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "6c572562a906f6c94d8f2e91895c161cbb0fa4cc", "title": "Multi-Channel Pyramid Person Matching Network for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02558.pdf"], "doi": []}, {"id": "bfec95482dc40936cbb33d386890aad48483adc4", "title": "An ensemble of invariant features for person re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "ETRI, Korea", "source_name": "SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340791", "http://doi.org/10.1109/MMSP.2015.7340791"]}, {"id": "18625d8895de791f01a6cc2754c9ac50128f4110", "title": "Combining Descriptive and Discriminative Information for Person Re-Identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1862/5d8895de791f01a6cc2754c9ac50128f4110.pdf"], "doi": []}, {"id": "d1dd0c714950cbd89f76ec6b039201eadf74cade", "title": "Person Re-identification Using Robust Brightness Transfer Functions Based on Multiple Detections", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d1dd/0c714950cbd89f76ec6b039201eadf74cade.pdf"], "doi": []}, {"id": "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "title": "A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00975.pdf"], "doi": []}, {"id": "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "title": "A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410791"]}, {"id": "3ba5aa0995f129d2854d9690adb6d982bba4e675", "title": "Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://or.nsfc.gov.cn/bitstream/00001903-5/153042/1/1000013951815.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_076.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_076_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_076_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Jing_Super-Resolution_Person_Re-Identification_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7812766", "http://doi.org/10.1109/TIP.2017.2651364", "https://doi.org/10.1109/CVPR.2015.7298669", "https://www.ncbi.nlm.nih.gov/pubmed/28092535", "https://www.wikidata.org/entity/Q36250611"]}, {"id": "12bce6e2db10faa4f370f9e40a6084296080b5cb", "title": "Learning to rank in person re-identification with metric ensembles", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01543.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "f4c0114443cb38a20fc6bb2f1839c45ae52dada6", "title": "Dynamics-Based Invariants for Video Analytics", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f4c0/114443cb38a20fc6bb2f1839c45ae52dada6.pdf"], "doi": []}, {"id": "0f57f91ab0bffdb2750cf52a9b2e4d8daf0abaa4", "title": "People re-identification and tracking from multiple cameras: A review", "addresses": [{"name": "Institute of Intelligent Systems for Automation, Bari, Italy", "source_name": "Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY", "street_adddress": "Via Giovanni Amendola, 122 D/O, 70126 Bari BA, Italy", "lat": "41.11259400", "lng": "16.88297200", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6467181", "http://doi.org/10.1109/ICIP.2012.6467181"]}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "84f047ff1665f7fdb7653047caf4d43c2c9576c2", "title": "Person re-identification with pre-trained deep learning models and attribute correlations", "addresses": [{"name": "University of Information Technology", "source_name": "Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam", "street_adddress": "Khu ph\u1ed1 6 P, Vietnam", "lat": "10.87030000", "lng": "106.80345130", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886726"]}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "f62d71e701c9fd021610e2076b5e0f5b2c7c86ca", "title": "Mahalanobis Distance Learning for Person Re-identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}, {"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f62d/71e701c9fd021610e2076b5e0f5b2c7c86ca.pdf"], "doi": []}, {"id": "92166eb883b0505040c2d61c758985e5ec051f83", "title": "Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07528.pdf"], "doi": []}, {"id": "3a0425c25beea6c4c546771adaf5d2ced4954e0d", "title": "Domain Adaptation in Computer Vision Applications", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-58347-1", "https://link.springer.com/book/10.1007/978-3-319-58347-1"]}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "title": "Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05799.pdf"], "doi": []}, {"id": "1c0f3a0fe2369e5357728ff81b6812e952f6337d", "title": "Multimodal person re-identification using RGB-D sensors and a transient identification database", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2013", "pdf": ["http://vbn.aau.dk/files/210202605/personRe_ID.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6547322", "http://doi.org/10.1109/IWBF.2013.6547322"]}, {"id": "765ec537eebe7ff30d0c298fe15b1c3475cbdb98", "title": "Person Re-Identification by Regularized Smoothing KISS Metric Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://vahabonline.com/wp-content/uploads/2014/10/Person-Re-Identification-by.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6490028", "http://doi.org/10.1109/TCSVT.2013.2255413"]}, {"id": "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "title": "Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6409-3"]}, {"id": "a0ff4d516c81189fe0719f03f5caebe31d70e0fb", "title": "Person Re-identification by encoding free energy feature maps", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2503-y"]}, {"id": "0f18522f7cc5068a2dc89e28dd41054384fab289", "title": "Improving person re-identification by soft biometrics based reranking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_icdsc2.pdf", "http://www.ee.ucr.edu/~lan/papers/ANICDSC13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778216", "http://doi.org/10.1109/ICDSC.2013.6778216"]}, {"id": "15180235b45506f87057f53d688729fbd9f2e291", "title": "A new method of video-surveillance data analytics for the security in camera networks", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "University of Technology of Troyes", "source_name": "Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325928"]}, {"id": "0318c74b1cdec63de4c9577e9e600a48241adfc2", "title": "Sparse re-id: Block sparsity for person re-identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-msf15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W14/papers/Karanam_Sparse_Re-Id_Block_2015_CVPR_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-msf15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301392", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301392", "http://doi.org/10.1109/CVPRW.2015.7301392"]}, {"id": "1ecbcdf1ff0b78170b39985a26a7ab034ab73c60", "title": "Multi-view based coupled dictionary learning for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304357", "http://doi.org/10.1109/SPAC.2017.8304357"]}, {"id": "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "title": "Independent metric learning with aligned multi-part features for video-based person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-7119-6"]}, {"id": "0a103350842cca3794a784fb04ed70ca78e7f29d", "title": "A method of multi-criteria set recognition based on deep feature representation", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5385-3"]}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "title": "Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1afd/c0b42d25df25a7cd4b304493e9b521c84f0f.pdf"], "doi": []}, {"id": "44347819fd94b20676862181ac4de55a5ca47a0c", "title": "A complete person re-identification model using Kernel-PCA-based Gabor-filtered hybrid descriptors", "addresses": [{"name": "Jyothi Institute of Technology, Bengaluru, India", "source_name": "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "street_adddress": "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "lat": "12.84122790", "lng": "77.51195860", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-018-0153-3"]}, {"id": "61f56afc7713ebfacfe382d1824966cb9b967d34", "title": "An Ensemble of Invariant Features for Person Reidentification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Huawei Research and Development, Santa Clara, CA", "source_name": "Huawei Research and Development, Santa Clara, CA, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779129", "http://doi.org/10.1109/TCSVT.2016.2637818"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "700bafb57112febd5d5712f474b0ecc39379320c", "title": "Deep Deformable Patch Metric Learning for Person Re-Identification", "addresses": [{"name": "Disney Research, Pittsburgh, PA, USA", "source_name": "Disney Research, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20171103171212/Deep-Deformable-Patch-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076890", "http://doi.org/10.1109/TCSVT.2017.2765242"]}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "3c71475ac56fe2875de2a61254ea4f8636a1d971", "title": "Person re-identification with content and context re-ranking", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://multimedia.whu.edu.cn/tuanduijieshao/publications/2014/11.pdf"], "doi": ["http://doi.org/10.1007/s11042-014-1949-7"]}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "60593c176ba39e8cb63ba6a7bf936553984bb67c", "title": "From Categories to Individuals in Real Time -- A Unified Boosting Approach", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/45540/1/cvpr_submission.pdf", "http://vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/Data/CVPR2014_HALL.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hall_From_Categories_to_2014_CVPR_paper.pdf", "http://www.vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/Data/CVPR2014_HALL.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909424", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.30", "http://doi.org/10.1109/CVPR.2014.30"]}, {"id": "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "title": "P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025424", "http://doi.org/10.1109/TCSVT.2017.2748698"]}, {"id": "c1660197f94786364e624efed4ba03c0d8ab6161", "title": "Robust dictionary learning with graph regularization for unsupervised person re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5202-z"]}, {"id": "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "title": "Attributes co-occurrence pattern mining for video-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078469", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078469", "http://doi.org/10.1109/AVSS.2017.8078469"]}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "808ed09fc6d56aa221e95e82d3ed37a9cce1da88", "title": "Datum-Adaptive Local Metric Learning for Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001603", "http://doi.org/10.1109/LSP.2014.2387847"]}, {"id": "f9824a85f30c687f7b3a3fbf25f842d3d87e77ea", "title": "Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning", "addresses": [{"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8023775", "http://doi.org/10.1109/TNNLS.2017.2736640", "https://www.ncbi.nlm.nih.gov/pubmed/28880193", "https://www.wikidata.org/entity/Q47696400"]}, {"id": "76977a8e7afd645e83d3e5aaca47a44922188d47", "title": "Reference-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_avss.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/Reference-Based%20Person%20Re-Identification13.pdf", "http://www.ee.ucr.edu/~lan/papers/AVSS13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636647", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636647", "http://doi.org/10.1109/AVSS.2013.6636647"]}, {"id": "1b93698c1784db4abf72b500e51d4806e6430522", "title": "Re-id: Hunting Attributes in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1b93/698c1784db4abf72b500e51d4806e6430522.pdf"], "doi": []}, {"id": "5084cf08beb04ad91ef3c5649077255097d0c5d9", "title": "Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8249811", "http://doi.org/10.1109/ACCESS.2018.2790969"]}, {"id": "22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b", "title": "A Database for Person Re-Identification in Multi-Camera Surveillance Networks", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411689"]}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "ffe3d6fcfee0378e7afa0eb334a454144b5bd272", "title": "Semi-Coupled Dictionary Learning With Relaxation Label Space Transformation for Video-Based Person Re-Identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286855", "http://doi.org/10.1109/ACCESS.2018.2803789"]}, {"id": "cc9057d2762e077c53e381f90884595677eceafa", "title": "On the Exploration of Joint Attribute Learning for Person Re-identification", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cc90/57d2762e077c53e381f90884595677eceafa.pdf"], "doi": []}, {"id": "45269e9746a5bd45b7a329ba1116622dba2e1ac1", "title": "Camera compensation using feature projection matrix for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://multimedia.whu.edu.cn/group/publications/2013/8.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607482", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607482", "http://doi.org/10.1109/ICME.2013.6607482"]}, {"id": "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "title": "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0991-0"]}, {"id": "a19a5a604e07c525f9a8969c05f1c9ed5b497053", "title": "Person re-identification across multi-camera system based on local descriptors", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6470137", "http://ieeexplore.ieee.org/document/6470137/"]}, {"id": "329e16cd476c958d1de8af89dee3ac0c5007e25b", "title": "Body Parts Synthesis for Cross-Quality Pose Estimation", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245864"]}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "0611dae4ae932e0c5f28f08676d234dd9233732f", "title": "Challenge of multi-camera tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1702.01507.pdf"], "doi": []}, {"id": "2de8508b33fe3ee290f94339a2f78f373e83b21d", "title": "Multi-Level Common Space Learning for Person Re-Identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7876753", "http://doi.org/10.1109/TCSVT.2017.2680118"]}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "92dbaaabb91d14ec71843970c604303680c26695", "title": "Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296253", "http://doi.org/10.1109/ICIP.2017.8296253"]}, {"id": "02b33c654aa475f400552bf0743d8d2819e2c2bb", "title": "Two-stage appearance-based re-identification of humans in low-resolution videos", "addresses": [{"name": "Fraunhofer Institute of Optronics, System Technologies and Image Exploitation", "source_name": "Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6412619", "http://doi.org/10.1109/WIFS.2012.6412619"]}, {"id": "8e346f6cb75fa50e0c4e8fee4f198788b91569e1", "title": "Collaborative Networks for Person Verification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132385"]}, {"id": "7b6dc0a4feb3c940618f6c011ee1b75089e3b07a", "title": "Metric learning with trace-norm regularization for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025494", "http://doi.org/10.1109/ICIP.2014.7025494"]}, {"id": "ac5c5be6234c459fedea5d66fd34e916e4730949", "title": "Body structure based triplet Convolutional Neural Network for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001772.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952461", "http://doi.org/10.1109/ICASSP.2017.7952461"]}, {"id": "774b649c75078e10759b3b6c8ea581e68fc45a40", "title": "Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2c8a/064665c280942ba717a46c590b4735a8fc1e.pdf"], "doi": []}, {"id": "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "title": "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/PengEtAl_CVPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.146", "http://doi.org/10.1109/CVPR.2016.146"]}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "586bfd960cbdba91eecbb06de994dacd38b9ab0f", "title": "Unsupervised Surveillance Video Retrieval Based on Human Action and Appearance", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/586b/fd960cbdba91eecbb06de994dacd38b9ab0f.pdf"], "doi": []}, {"id": "e0c6748799529ee035b21f040187d1e6df232624", "title": "Temporally aligned pooling representation for video-based person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533168", "http://doi.org/10.1109/ICIP.2016.7533168"]}, {"id": "c58a68628745ad189e47dcd956c7e23dc831da1f", "title": "Camera Compensation Using a Feature Projection Matrix for Person Reidentification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6739115", "http://doi.org/10.1109/TCSVT.2014.2305519"]}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "title": "Attention-based Few-Shot Person Re-identification Using Meta Learning", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09613.pdf"], "doi": []}, {"id": "64c1d9a031ec0e6785dc92edc0d00cc0802e32b0", "title": "Key Person Aided Re-identification in Partially Ordered Pedestrian Set", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.10017.pdf"], "doi": []}, {"id": "4469d0d0ac2f6f0221dc865b132958df33faa95e", "title": "Region-Based Interactive Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://mmap.whu.edu.cn/wp-content/uploads/publications/2014/wz_2014PCM.pdf", "http://multimedia.whu.edu.cn/group/MAP/personalpage/wz_pdf/PCM2014%20V12.pdf", "http://multimedia.whu.edu.cn/group/publications/2014/wz_2014PCM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-13168-9_1", "http://www.escience.cn/system/download/74305"]}, {"id": "e56f2c9c0a2cf1db7ec49527cb70b345ec71cfbd", "title": "Person re-identification using a patch-based appearance model", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532460", "http://doi.org/10.1109/ICIP.2016.7532460"]}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "22f21d58c6aecdb4f57c50fa9eb4952643eec0e9", "title": "Domain Transfer Support Vector Ranking for Person Re-identification without Target Camera Label Information", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://stat.rutgers.edu/home/jma/publications/DTPRID_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Ma_Domain_Transfer_Support_2013_ICCV_paper.pdf", "http://www.stat.rutgers.edu/home/jma/publications/DTPRID_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751555", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.443", "http://doi.org/10.1109/ICCV.2013.443"]}, {"id": "e7d840cf207802918e5b09af0a650b8f38f824a8", "title": "Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03989.pdf"], "doi": []}, {"id": "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "title": "Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4649-2"]}, {"id": "37ba12271d09d219dd1a8283bc0b4659faf3a6c6", "title": "Domain transfer for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2510658"]}, {"id": "f89e5b1f61b221c7b00db55b64239a28f8ba9fe0", "title": "Ensemble Learning-Based Person Re-identification with Multiple Feature Representations", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f89e/5b1f61b221c7b00db55b64239a28f8ba9fe0.pdf"], "doi": []}, {"id": "e5a9b24056782a343ddc903aebc21e6c277a6b2d", "title": "People re-identification using two-stage transfer metric learning", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.mva-org.jp/Proceedings/2015USB/papers/15-03.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153260", "http://doi.org/10.1109/MVA.2015.7153260"]}, {"id": "221c18238b829c12b911706947ab38fd017acef7", "title": "A Richly Annotated Dataset for Pedestrian Attribute Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07054.pdf"], "doi": []}, {"id": "8e861a7809905a003fffa821574e68ae0c0788e7", "title": "Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/96b3/9fef9ec4cb1c58d93e27f0513f83de9adaa7.pdf"], "doi": []}, {"id": "ad01687649d95cd5b56d7399a9603c4b8e2217d7", "title": "Investigating Open-World Person Re-identification Using a Drone", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ad01/687649d95cd5b56d7399a9603c4b8e2217d7.pdf"], "doi": []}, {"id": "824364e018b4445bcc61ae86e112e68a4a067108", "title": "Person re-identification using sparse representation with manifold constraints", "addresses": [{"name": "Italian Institute of Technology, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy", "street_adddress": "27100 Pavia, Province of Pavia, Italy", "lat": "45.18472480", "lng": "9.15820690", "type": "edu", "country": "Italy"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.hamedkiani.com/uploads/5/1/8/8/51882963/template1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532462", "http://doi.org/10.1109/ICIP.2016.7532462"]}, {"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "title": "Scalable Person Re-identification: A Benchmark", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, {"id": "5438e7c8151311d76ed7335051069c7c07113a12", "title": "Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Greenwich", "source_name": "University of Greenwich, London, United Kingdom", "street_adddress": "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "lat": "51.48293080", "lng": "-0.00699500", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965715", "http://doi.org/10.1109/SERA.2017.7965715"]}, {"id": "19ae769aa067b5bd781882cd18551f7abe01bcf1", "title": "Data Generation for Improving Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123302"]}, {"id": "6448acca3bf4d14ad44756974a6486a317095a54", "title": "Deep multi-instance learning for end-to-end person re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4896-2"]}, {"id": "c9018677ec5bf65d92fd9fefdbd32c4e292dc2e4", "title": "A fast adaptive spatio-temporal 3D feature for video-based person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533170", "http://doi.org/10.1109/ICIP.2016.7533170"]}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "f49734bc34cb7cc50938a18e72d5fe338fa8a8fd", "title": "Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos", "addresses": [{"name": "Jyothi Institute of Technology, Bengaluru, India", "source_name": "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "street_adddress": "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "lat": "12.84122790", "lng": "77.51195860", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-017-0136-9"]}, {"id": "242e19b95f1cf77a74f1a99a899a8dc7d34f7c10", "title": "Multi-scale 3D Convolution Network for Video Based Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.07468.pdf"], "doi": []}, {"id": "82485c89a6b48077b03b65a774fd5768ea768d4d", "title": "Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03112.pdf"], "doi": []}, {"id": "fccd8c1b41f7f7a91b7bbe896b31fa936b5aacbf", "title": "Deep pedestrian attribute recognition based on LSTM", "addresses": [{"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296261", "http://doi.org/10.1109/ICIP.2017.8296261"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "2c2d2c82fda9f01f37cb86d80f5c0f5e963d68d0", "title": "Evaluation of basic visual features for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7491005"]}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "ac36284cfa95e613f9e726cd017a5dca207fe633", "title": "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7859378", "http://doi.org/10.1109/TIP.2017.2672440", "https://www.ncbi.nlm.nih.gov/pubmed/28237930", "https://www.wikidata.org/entity/Q53478605"]}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "66284b8894bab0165c4210cd2df749f0b015c88e", "title": "Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8e0/0a3fb542d0d6ab090b28aa864de9c262fd40.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "cf203d22a4a292f24cb6eb8bd50d4b0991fdab7d", "title": "Body Part-Based Person Re-identification Integrating Semantic Attributes", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9887-4"]}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "7f02f790f320194d5eccf7665066308e46f5d0e9", "title": "Coupled-View Based Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://multimedia.whu.edu.cn/group/MAP/personalpage/Mang%20Ye's%20Homepage/ym_mmm.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/mmm2015.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/ym_mmm.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-14445-0_10"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "ba32bcea914685f2dacc689b3d9dc070eceae684", "title": "Person Re-Identification by Weighted Integration of Sparse and Collaborative Representation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8070940", "http://doi.org/10.1109/ACCESS.2017.2757028"]}, {"id": "eb51b630b194f6161dadeca54b3d21330cde9ebd", "title": "Video Based Person Re-Identification by Re-Ranking Attentive Temporal Information in Deep Recurrent Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451594"]}, {"id": "76ad6daa899a8657c9c17480e5fc440fda53acec", "title": "A Multi-task Deep Network for Person Re-identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05369.pdf"], "doi": []}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "d8f837265fe76e26c99052229c4997fbec20573a", "title": "View-Adaptive Metric Learning for Multi-view Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d8f8/37265fe76e26c99052229c4997fbec20573a.pdf"], "doi": []}, {"id": "700ae4e8a6e64e08a5d551bf174f31ca20b61e18", "title": "Phasic maximal and local maximal occurrence representation for video-based person re-identification", "addresses": [{"name": "PLA University of Science and Technology", "source_name": "PLA University of Science and Technology, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8230298"]}, {"id": "75150b16cee83641f01074568fe4b2d2eb3d0a31", "title": "Sparse coding with cross-view invariant dictionaries for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4893-5"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "dataset": {"key": "prid", "name_short": "PRID", "name_display": "PRID", "name_full": "Person Re-ID Dataset", "purpose": "person re-identification, collected in Graz", "comment": "", "funded_by": "", "license": "", "url": "https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/prid11/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "N", "outdoor": "Y", "campus": "", "cyberspace": "N", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2011", "ongoing": "", "images": "24,541 ", "videos": "", "identities": "934 ", "img_per_person": "", "num_cameras": "2", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "128", "height": "64", "color": "", "gray": "", "tags": "pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": ""}, "paper": {"paper_id": "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "key": "prid", "title": "Person Re-identification by Descriptive and Discriminative Classification", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/4c1b/f0592be3e535faf256c95e27982db9b3d3d3.pdf"], "address": "", "name": "PRID", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "ae8febda8de382422962c4ff73f87d92c5e029df", "title": "Human recognition for following robots with a Kinect sensor", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7866511", "http://doi.org/10.1109/ROBIO.2016.7866511"]}, {"id": "df4525d7d99f7237c864adbcb2dab30d8f7447e0", "title": "Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification", "addresses": [{"name": "Universidade Federal de Minas Gerais, Brazil", "source_name": "Universidade Federal de Minas Gerais, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06969.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "c458db5d616058fbd9de19acc6c82827396cf195", "title": "Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-iccv15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Karanam_Person_Re-Identification_With_ICCV_2015_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410870", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.513", "http://doi.org/10.1109/ICCV.2015.513"]}, {"id": "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "title": "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "addresses": [{"name": "London, United Kingdom", "source_name": "London, United Kingdom", "street_adddress": "London, Greater London, England, SW1A 2DU, UK", "lat": "51.50732190", "lng": "-0.12764740", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7970176"]}, {"id": "c7ec456099ae2d0eee073ca1d546d7ca57dd4a85", "title": "Transferring clothing parsing from fashion dataset to surveillance", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001667.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952440", "http://doi.org/10.1109/ICASSP.2017.7952440"]}, {"id": "9f1b39e8d157b74181c666e85e5d55550d762409", "title": "Three-Stream Convolutional Networks for Video-based Person Re-Identification", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01652.pdf"], "doi": []}, {"id": "de02043fd479a2bcf23d30ab4496cc4e0d84f699", "title": "Zero-Shot Person Re-identification via Cross-View Consistency", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346474", "http://doi.org/10.1109/TMM.2015.2505083"]}, {"id": "8899b274fdb4ff77de40a15a958ab5ea4b4a6477", "title": "Deep spatio-temporal network for accurate person re-identification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001673"]}, {"id": "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873272", "http://doi.org/10.1109/TPAMI.2017.2679002", "https://www.ncbi.nlm.nih.gov/pubmed/28287958", "https://www.wikidata.org/entity/Q50451150"]}, {"id": "805b42d42a52e1e5e20de8950dc18ec9323575a7", "title": "Recurrent Neural Networks for Person Re-identification Revisited", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03281.pdf"], "doi": []}, {"id": "97527b3c58591926800e3586e13d99a8cf5b17ff", "title": "Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Technology, Princeton, NJ, USA", "source_name": "Siemens Corporate Technology, Princeton, NJ, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-tcsvt17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7994636", "http://doi.org/10.1109/TCSVT.2017.2732822"]}, {"id": "b33bbdac96c3540ebb07c3655643e6badc368c59", "title": "MultiMedia Modeling", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Shanghai Jitotong University", "source_name": "Shanghai Jitotong University, Shanghai, China", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "University of Newcastle", "source_name": "University of Newcastle", "street_adddress": "University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia", "lat": "-33.35788990", "lng": "151.37834708", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-14442-9"]}, {"id": "b7bc6a2dfe99668457b67007400f5ab760386d0c", "title": "A Siamese inception architecture network for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0843-5"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "9f1ce2cb2c0e7e7ddf620cc59a7342bc04990efa", "title": "An integrated framework for video surveillance in complex environments", "addresses": [{"name": "BV-Tech Ricerca, Rovereto (Italy)", "source_name": "BV-Tech Ricerca, Rovereto (Italy)", "street_adddress": "Via Zeni Fortunato, 8, 38068 Rovereto TN, Italy", "lat": "45.88964970", "lng": "11.03188280", "type": "edu", "country": "Italy"}, {"name": "DISI - University of Trento", "source_name": "DISI - University of Trento, Trento (Italy)", "street_adddress": "Via Sommarive, 9, 38123 Povo,Trento TN, Italy", "lat": "46.06698580", "lng": "11.14982180", "type": "edu", "country": "Italy"}, {"name": "FBK Trento", "source_name": "FBK Trento (Italy)", "street_adddress": "Via Santa Croce, 77, 38122 Trento TN, Italy", "lat": "46.06273420", "lng": "11.12441070", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7580834", "http://doi.org/10.1109/ISC2.2016.7580834"]}, {"id": "7346838bcd4c372fe79cb85ac519e0b4f06fd7b5", "title": "LOMO3D descriptor for video-based person re-identification", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309044", "http://doi.org/10.1109/GlobalSIP.2017.8309044"]}, {"id": "e9835bb131287d711e5e5435a5df8ce5302acb31", "title": "Person Re-identification by Unsupervised ` 1 Graph Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e983/5bb131287d711e5e5435a5df8ce5302acb31.pdf"], "doi": []}, {"id": "3c84e2ed018dd1d971b526f87e9d7c1f08e6230f", "title": "Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}, {"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2783286"]}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}, {"id": "53baabad70915a852477c2191b8bdb005b8cc4a5", "title": "Temporal-Enhanced Convolutional Network for Person Re-Identification", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53ba/abad70915a852477c2191b8bdb005b8cc4a5.pdf"], "doi": []}, {"id": "7965b2ce7d64991218515e20fc1fc0459fd20a38", "title": "Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11261.pdf"], "doi": []}, {"id": "d6b2d4f1bc08dc3d3922fb43b1b8e3614349f539", "title": "Bur\u00e7in Buket O\u011ful in partial fulfillment of the requirements for the degree of Master of Science in Information Systems , Middle East Technical", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d6b2/d4f1bc08dc3d3922fb43b1b8e3614349f539.pdf"], "doi": []}, {"id": "589b1677d6de28c47693c5816c32698860c32d10", "title": "Tri-modal Person Re-identification with RGB, Depth and Thermal Features", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2013", "pdf": ["http://vbn.aau.dk/files/210202523/triModalPersonReId.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/Workshops/4990a301.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W13/papers/Mgelmose_Tri-modal_Person_Re-identification_2013_CVPR_paper.pdf", "http://www.maia.ub.es/~sergio/linked/cvpr2013pwt.pdf", "http://www.maia.ub.es/~sergio/linked/cvpr2013trimodalpersonreid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595891", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.52", "http://doi.org/10.1109/CVPRW.2013.52"]}, {"id": "d97094aafbcec8e4cb63098b42a7553ffd2cb854", "title": "Human Re-Identification", "addresses": [{"name": "Siemens Corporate Research, Plainsboro, USA", "source_name": "Siemens Corporate Research, Plainsboro, USA", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-40991-7"]}, {"id": "611849b55ef6b164f21e52cefd05300041e72152", "title": "A MultiTask Deep Network for Person Re-Identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6118/49b55ef6b164f21e52cefd05300041e72152.pdf"], "doi": []}, {"id": "30fdf33bdc29c8bb3a2c5b1ff95ffd351c2f8e21", "title": "Joint instance and feature importance re-weighting for person reidentification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001546.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471936", "http://doi.org/10.1109/ICASSP.2016.7471936"]}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "ccf934a335793fe416b0115183783d2c355b64ed", "title": "Query Based Adaptive Re-ranking for Person Re-identification", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ccf9/34a335793fe416b0115183783d2c355b64ed.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "5ec650d4506ac2bb066760420ee8185c93dbb2c1", "title": "Person re-identification using color name descriptor-based sparse representation", "addresses": [{"name": "Chung-Ang University", "source_name": "Chung-Ang University", "street_adddress": "\uc911\uc559\ub300\ud559\uad50, \uc11c\ub2ec\ub85c15\uae38, \ud751\uc11d\ub3d9, \ub3d9\uc791\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 06981, \ub300\ud55c\ubbfc\uad6d", "lat": "37.50882000", "lng": "126.96190000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7868394"]}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "6782b148bd2de66cd73f3d69f481d40cce866fff", "title": "Robust relationship learning to illumination in a camera network", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8330588"]}, {"id": "61dfbdfe718aca026cafa06adc63055bd0fc562e", "title": "A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61df/bdfe718aca026cafa06adc63055bd0fc562e.pdf"], "doi": []}, {"id": "79931447522097044cbc89e4bc2f69dd6e8f0e58", "title": "Person Re-identification by Multi-hypergraph Fusion", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7560601", "http://doi.org/10.1109/TNNLS.2016.2602082", "https://www.ncbi.nlm.nih.gov/pubmed/28113383"]}, {"id": "314142838289cac416098cbc2bbe796dcbd2357b", "title": "Fusion of Interest Point/Image based descriptors for efficient person re-identification", "addresses": [{"name": "University of Paris-Saclay", "source_name": "SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France", "street_adddress": "Courcouronnes, 9 Rue Charles Fourier, 91000 \u00c9vry, France", "lat": "48.62468830", "lng": "2.44325110", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489111", "http://doi.org/10.1109/IJCNN.2018.8489111"]}, {"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123324"]}, {"id": "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "title": "Person Re-Identification via Distance Metric Learning With Latent Variables", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600432", "http://doi.org/10.1109/TIP.2016.2619261", "https://www.ncbi.nlm.nih.gov/pubmed/27775516", "https://www.wikidata.org/entity/Q50482360"]}, {"id": "012cdba79f672e45240791d6c52f213640347b54", "title": "Cross-view transformation based sparse reconstruction for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900161", "http://doi.org/10.1109/ICPR.2016.7900161"]}, {"id": "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "title": "Improving Person Re-identification via Pose-Aware Multi-shot Matching", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cho_Improving_Person_Re-Identification_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780520", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.151", "http://doi.org/10.1109/CVPR.2016.151"]}, {"id": "24e6a28c133b7539a57896393a79d43dba46e0f6", "title": "Robust Bayesian method for simultaneous block sparse signal recovery with applications to face recognition", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02057.pdf"], "doi": []}, {"id": "589d06db45e2319b29fc96582ea6c8be369f57ed", "title": "Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/589d/06db45e2319b29fc96582ea6c8be369f57ed.pdf"], "doi": []}, {"id": "c8c714c100a754baf7d86d240ec35207fcf84b06", "title": "Person Re-identification Meets Image Search.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02171.pdf"], "doi": []}, {"id": "f622efd8f7ecdad1b5352ce6d8677f44638425da", "title": "Exploiting multiple detections to learn robust brightness transfer functions in re-identification systems", "addresses": [{"name": "Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy", "street_adddress": "Genoa, Metropolitan City of Genoa, Italy", "lat": "44.40564990", "lng": "8.94625600", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351218", "http://doi.org/10.1109/ICIP.2015.7351218"]}, {"id": "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "title": "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240622"]}, {"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "title": "Person Re-identification by Video Ranking", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/98bb/029afe2a1239c3fdab517323066f0957b81b.pdf"], "doi": []}, {"id": "4622b82a8aff4ac1e87b01d2708a333380b5913b", "title": "Multi-label CNN based pedestrian attribute learning for soft biometrics", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICB2015/Zhu-ICB-15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139070", "http://doi.org/10.1109/ICB.2015.7139070"]}, {"id": "9d6a35541f388db3f4ccf4c457e8ba23eb463654", "title": "Local region partition for person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4817-4"]}, {"id": "df6934f32d0b9810ba29a8155a7712ed1155cf9b", "title": "Tracklet and Signature Representation for Multi-Shot Person Re-Identification", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570441"]}, {"id": "f63d5ff1f11a72bb1ea97996f54a60543312f25e", "title": "Margin-Embedding Canonical Correlation Analysis with Feature Selection for Person Re-Identification", "addresses": [{"name": "Science and Technology on Parallel and Distributed Laboratory, NUDT, Changsha, China", "source_name": "Science and Technology on Parallel and Distributed Laboratory, NUDT, Changsha, 410073, China", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "edu", "country": "China"}, {"name": "State Key Laboratory of High Performance Computing, NUDT, Changsha, China", "source_name": "State Key Laboratory of High Performance Computing, NUDT, Changsha, 410073, China", "street_adddress": "Pailou Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China, 410012", "lat": "28.17837200", "lng": "112.94713400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451634"]}, {"id": "75a92d92ee59555c847973a7422d7356514cde2d", "title": "Exploiting Multiple Detections for Person Re-Identification", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/75a9/2d92ee59555c847973a7422d7356514cde2d.pdf"], "doi": []}, {"id": "974b9f0af3af675c092b96e7ac68e391cffdcf49", "title": "Person Re-identification Using Data-Driven Metric Adaptation", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/974b/9f0af3af675c092b96e7ac68e391cffdcf49.pdf"], "doi": []}, {"id": "813cc31130ceab1668da1ac6646eea4b6a4be6b6", "title": "A new deep representation for large-scale scene classification", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Zhejiang Huayun, Zhejiang, China", "source_name": "Zhejiang Huayun, Zhejiang, China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5322-5"]}, {"id": "95a7ce2163b3fbd49bb8d0813a9f67e651bea3a5", "title": "Coupled feature spaces learning with joint graph regularization for person re-identification", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7804501", "http://doi.org/10.1109/BESC.2016.7804501"]}, {"id": "54be7b76110de37a8315bad7a4b0cda3bdaace76", "title": "Person Reidentification Using Deep Convnets With Multitask Learning", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pure.qub.ac.uk/portal/files/106210265/bare_jrnl_no_copyright_notice.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734118,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600455", "http://doi.org/10.1109/TCSVT.2016.2619498"]}, {"id": "4679f58139f1be2aab2598378555f277bc299d2a", "title": "Online learning of dynamic multi-view gallery for person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3015-5"]}, {"id": "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "title": "Region-Based Quality Estimation Network for Large-Scale Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.08766.pdf"], "doi": []}, {"id": "b866bafa296ae836726a8a1df78639ad9533623b", "title": "Occlusion detector using convolutional neural network for person re-identification", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217564", "http://doi.org/10.1109/ICCAIS.2017.8217564"]}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "1a0a06e659eb075d414286d61bd36931770db799", "title": "Relaxed pairwise learned metric for person re-identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/hirzer_eccv_2012.pdf", "http://lrs.icg.tugraz.at/pubs/hirzer_eccv_2012_poster.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/hirzer_eccv_2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33783-3_56"]}, {"id": "add34d4cbb4ea6c7aba4d4149a8ddaa5c2a00f40", "title": "Person Re-identification Based on Human Body Parts Signature", "addresses": [{"name": "Beijing University of Posts and Telecomm.", "source_name": "Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China", "street_adddress": "10 Xitucheng Rd, BeiTaiPingZhuang, Haidian Qu, Beijing Shi, China, 100876", "lat": "39.96279600", "lng": "116.35810300", "type": "edu", "country": "China"}, {"name": "Shanghai Research Institute of China Telecom. Corporation Limited", "source_name": "Shanghai Research Institute of China Telecom. Corporation Limited", "street_adddress": "1835 Pudong S Rd, Pudong Xinqu, Shanghai Shi, China, 200122", "lat": "31.21619700", "lng": "121.51940300", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659035"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "29401a5ad840cfa2c525003815149d62399e91d1", "title": "Person Reidentification by Minimum Classification Error-Based KISS Metric Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6824754", "http://doi.org/10.1109/TCYB.2014.2323992", "https://www.ncbi.nlm.nih.gov/pubmed/25486658"]}, {"id": "a20922597ebe3706598220009311161179de4a09", "title": "An Unbiased Temporal Representation for Video-Based Person Re-Identification", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf", "https://www.vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/xiu-icip_cam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451518", "http://doi.org/10.1109/ICIP.2018.8451518"]}, {"id": "639f0d9e9dacc3d6f91aa2b1a9b9152220c24789", "title": "Cross-view analysis by multi-feature fusion for person re-identification", "addresses": [{"name": "Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China", "source_name": "Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877806"]}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "a1e14192035fd64425840d613450d272c43dd39f", "title": "Person re-identification by the marriage of KISS metric learning and post-rank optimization: KISSPOP", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808515"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "a051854861453ae8a5e32ead7deed628c52f7fc5", "title": "Space-time Histograms And Their Application To Person Re-identification In TV Shows", "addresses": [{"name": "CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France", "source_name": "CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France", "street_adddress": "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "lat": "50.60971560", "lng": "3.13728330", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749332"]}, {"id": "9c675774d49be7ba428c80142cb63ed4267d3c46", "title": "Low illumination person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6239-3"]}, {"id": "9ab57be9cd26652fcc02ce994ee53ede05cfa79c", "title": "Online learning on incremental distance metric for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7090533", "http://doi.org/10.1109/ROBIO.2014.7090533"]}, {"id": "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "title": "Dynamic Label Graph Matching for Unsupervised Video Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09297.pdf"], "doi": []}, {"id": "821fb8b05108b7ce5312bc5cac3b0e5d56e279ab", "title": "Specific Person Retrieval via Incomplete Text Description", "addresses": [{"name": "Jiujiang University", "source_name": "Jiujiang University, Jiujiang, China", "street_adddress": "17 Lufeng Rd, Xunyang Qu, Jiujiang Shi, Jiangxi Sheng, China, 332000", "lat": "29.72004900", "lng": "115.99882500", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749347"]}, {"id": "097f482c548075305b5866d7d0fde7b67c30c52d", "title": "Unsupervised Learning of Generative Topic Saliency for Person Re-identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/097f/482c548075305b5866d7d0fde7b67c30c52d.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "afd492a598476b5a9b13e2b6d28a76b0707c0a35", "title": "Open-set Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1408.0872.pdf"], "doi": []}, {"id": "c25a71d01255b96c08dc36e79dc7200347574a04", "title": "Multi-shot person re-identification using a novel video covariance approach", "addresses": [{"name": "Sfax University", "source_name": "Laboratory of Computer and Embedded Systems, Sfax University, Sfax, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019640"]}, {"id": "b9f65f3ea5aef51e7955e1972aefc1dddb400b59", "title": "Weighted hybrid features for person re-identification", "addresses": [{"name": "National University of Sciences and Technology", "source_name": "National University of Sciences and Technology", "street_adddress": "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "33.64434700", "lng": "72.98850790", "type": "edu", "country": "Pakistan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310107", "http://doi.org/10.1109/IPTA.2017.8310107"]}, {"id": "447848afc79a7f78be49450cd330bfdaabdd64d3", "title": "Incremental Kernel Null Foley-Sammon Transform for Person Re-identification", "addresses": [{"name": "Aviation University of Airforce", "source_name": "Aviation University of Airforce, Changchun, 130022, China", "street_adddress": "Fanrong Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130022", "lat": "43.83983040", "lng": "125.32018170", "type": "mil", "country": "China"}, {"name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "source_name": "Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546301"]}, {"id": "167ef72a08832f02e0bb4bb60b61b44adca4f804", "title": "People tracking in multi-camera systems: a review", "addresses": [{"name": "Aix-Marseille University", "source_name": "LSIS - UMR CNRS 7296, Aix-Marseille University, Marseille, France", "street_adddress": "Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France", "lat": "43.29362100", "lng": "5.35806600", "type": "edu", "country": "France"}, {"name": "Toulon University", "source_name": "SeaTech School, Toulon University, La Garde, France", "street_adddress": "\u00c9cole d\u2019Ing\u00e9nieurs SeaTech - Universit\u00e9 de Toulon, Avenue de l'Universit\u00e9, 83130 La Garde, France", "lat": "43.13643020", "lng": "6.01254200", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6638-5"]}, {"id": "2dd2c7602d7f4a0b78494ac23ee1e28ff489be88", "title": "Large scale metric learning from equivalence constraints", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/koestinger_cvpr_2012.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/koestinger_cvpr_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247939", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247939", "http://doi.org/10.1109/CVPR.2012.6247939"]}, {"id": "0e46943b2b12a8df6a62202651555a1d464cebec", "title": "Person Re-identification by Efficient Impostor-Based Metric Learning", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/hirzer_avss_2012.pdf", "http://lrs.icg.tugraz.at/pubs/hirzer_avss_2012_slides.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/hirzer_avss_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.55", "http://doi.org/10.1109/AVSS.2012.55"]}, {"id": "aa8447c65f93670820124e0a99a2b5e3536700be", "title": "Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489698", "http://doi.org/10.1109/IJCNN.2018.8489698"]}, {"id": "9125903bf7aa68920fdca8296f703b9013a877ed", "title": "Deep spatial pyramid for person re-identification", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170814145721/Deep-Spatial-Pyramid-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078492", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078492", "http://doi.org/10.1109/AVSS.2017.8078492"]}, {"id": "7cd5d7f8295b219b029a4231ae5cffb261e00ebe", "title": "Early Active Learning with Pairwise Constraint for Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7cd5/d7f8295b219b029a4231ae5cffb261e00ebe.pdf"], "doi": []}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "e7397f7f0e83494825d63b75bdd40c3879f369cd", "title": "Open-world Person Re-Identification by Multi-Label Assignment Inference", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e739/7f7f0e83494825d63b75bdd40c3879f369cd.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "6c572562a906f6c94d8f2e91895c161cbb0fa4cc", "title": "Multi-Channel Pyramid Person Matching Network for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02558.pdf"], "doi": []}, {"id": "bfec95482dc40936cbb33d386890aad48483adc4", "title": "An ensemble of invariant features for person re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "ETRI, Korea", "source_name": "SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340791", "http://doi.org/10.1109/MMSP.2015.7340791"]}, {"id": "18625d8895de791f01a6cc2754c9ac50128f4110", "title": "Combining Descriptive and Discriminative Information for Person Re-Identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1862/5d8895de791f01a6cc2754c9ac50128f4110.pdf"], "doi": []}, {"id": "d1dd0c714950cbd89f76ec6b039201eadf74cade", "title": "Person Re-identification Using Robust Brightness Transfer Functions Based on Multiple Detections", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d1dd/0c714950cbd89f76ec6b039201eadf74cade.pdf"], "doi": []}, {"id": "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "title": "A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00975.pdf"], "doi": []}, {"id": "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "title": "A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410791"]}, {"id": "3ba5aa0995f129d2854d9690adb6d982bba4e675", "title": "Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://or.nsfc.gov.cn/bitstream/00001903-5/153042/1/1000013951815.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_076.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_076_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_076_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Jing_Super-Resolution_Person_Re-Identification_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7812766", "http://doi.org/10.1109/TIP.2017.2651364", "https://doi.org/10.1109/CVPR.2015.7298669", "https://www.ncbi.nlm.nih.gov/pubmed/28092535", "https://www.wikidata.org/entity/Q36250611"]}, {"id": "12bce6e2db10faa4f370f9e40a6084296080b5cb", "title": "Learning to rank in person re-identification with metric ensembles", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01543.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "f4c0114443cb38a20fc6bb2f1839c45ae52dada6", "title": "Dynamics-Based Invariants for Video Analytics", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f4c0/114443cb38a20fc6bb2f1839c45ae52dada6.pdf"], "doi": []}, {"id": "0f57f91ab0bffdb2750cf52a9b2e4d8daf0abaa4", "title": "People re-identification and tracking from multiple cameras: A review", "addresses": [{"name": "Institute of Intelligent Systems for Automation, Bari, Italy", "source_name": "Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY", "street_adddress": "Via Giovanni Amendola, 122 D/O, 70126 Bari BA, Italy", "lat": "41.11259400", "lng": "16.88297200", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6467181", "http://doi.org/10.1109/ICIP.2012.6467181"]}, {"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "84f047ff1665f7fdb7653047caf4d43c2c9576c2", "title": "Person re-identification with pre-trained deep learning models and attribute correlations", "addresses": [{"name": "University of Information Technology", "source_name": "Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam", "street_adddress": "Khu ph\u1ed1 6 P, Vietnam", "lat": "10.87030000", "lng": "106.80345130", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886726"]}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "f62d71e701c9fd021610e2076b5e0f5b2c7c86ca", "title": "Mahalanobis Distance Learning for Person Re-identification", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}, {"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f62d/71e701c9fd021610e2076b5e0f5b2c7c86ca.pdf"], "doi": []}, {"id": "92166eb883b0505040c2d61c758985e5ec051f83", "title": "Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07528.pdf"], "doi": []}, {"id": "3a0425c25beea6c4c546771adaf5d2ced4954e0d", "title": "Domain Adaptation in Computer Vision Applications", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-58347-1", "https://link.springer.com/book/10.1007/978-3-319-58347-1"]}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "title": "Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05799.pdf"], "doi": []}, {"id": "1c0f3a0fe2369e5357728ff81b6812e952f6337d", "title": "Multimodal person re-identification using RGB-D sensors and a transient identification database", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "2013", "pdf": ["http://vbn.aau.dk/files/210202605/personRe_ID.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6547322", "http://doi.org/10.1109/IWBF.2013.6547322"]}, {"id": "765ec537eebe7ff30d0c298fe15b1c3475cbdb98", "title": "Person Re-Identification by Regularized Smoothing KISS Metric Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://vahabonline.com/wp-content/uploads/2014/10/Person-Re-Identification-by.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6490028", "http://doi.org/10.1109/TCSVT.2013.2255413"]}, {"id": "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "title": "Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6409-3"]}, {"id": "a0ff4d516c81189fe0719f03f5caebe31d70e0fb", "title": "Person Re-identification by encoding free energy feature maps", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2503-y"]}, {"id": "0f18522f7cc5068a2dc89e28dd41054384fab289", "title": "Improving person re-identification by soft biometrics based reranking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_icdsc2.pdf", "http://www.ee.ucr.edu/~lan/papers/ANICDSC13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778216", "http://doi.org/10.1109/ICDSC.2013.6778216"]}, {"id": "15180235b45506f87057f53d688729fbd9f2e291", "title": "A new method of video-surveillance data analytics for the security in camera networks", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "University of Technology of Troyes", "source_name": "Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325928"]}, {"id": "0318c74b1cdec63de4c9577e9e600a48241adfc2", "title": "Sparse re-id: Block sparsity for person re-identification", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://homepages.rpi.edu/~karans3/papers/2015/karanam-msf15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W14/papers/Karanam_Sparse_Re-Id_Block_2015_CVPR_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-msf15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301392", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301392", "http://doi.org/10.1109/CVPRW.2015.7301392"]}, {"id": "1ecbcdf1ff0b78170b39985a26a7ab034ab73c60", "title": "Multi-view based coupled dictionary learning for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304357", "http://doi.org/10.1109/SPAC.2017.8304357"]}, {"id": "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "title": "Independent metric learning with aligned multi-part features for video-based person re-identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-7119-6"]}, {"id": "0a103350842cca3794a784fb04ed70ca78e7f29d", "title": "A method of multi-criteria set recognition based on deep feature representation", "addresses": [{"name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "source_name": "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5385-3"]}, {"id": "5136f69da8a61447a300a50c67d80d84a31b1257", "title": "Deep Association Learning for Unsupervised Video Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07301.pdf"], "doi": []}, {"id": "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "title": "Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1afd/c0b42d25df25a7cd4b304493e9b521c84f0f.pdf"], "doi": []}, {"id": "44347819fd94b20676862181ac4de55a5ca47a0c", "title": "A complete person re-identification model using Kernel-PCA-based Gabor-filtered hybrid descriptors", "addresses": [{"name": "Jyothi Institute of Technology, Bengaluru, India", "source_name": "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "street_adddress": "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "lat": "12.84122790", "lng": "77.51195860", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-018-0153-3"]}, {"id": "61f56afc7713ebfacfe382d1824966cb9b967d34", "title": "An Ensemble of Invariant Features for Person Reidentification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Huawei Research and Development, Santa Clara, CA", "source_name": "Huawei Research and Development, Santa Clara, CA, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779129", "http://doi.org/10.1109/TCSVT.2016.2637818"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "700bafb57112febd5d5712f474b0ecc39379320c", "title": "Deep Deformable Patch Metric Learning for Person Re-Identification", "addresses": [{"name": "Disney Research, Pittsburgh, PA, USA", "source_name": "Disney Research, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20171103171212/Deep-Deformable-Patch-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076890", "http://doi.org/10.1109/TCSVT.2017.2765242"]}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "08d55271589f989d90a7edce3345f78f2468a7e0", "title": "Quality Aware Network for Set to Set Recognition", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03373.pdf"], "doi": []}, {"id": "3c71475ac56fe2875de2a61254ea4f8636a1d971", "title": "Person re-identification with content and context re-ranking", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://multimedia.whu.edu.cn/tuanduijieshao/publications/2014/11.pdf"], "doi": ["http://doi.org/10.1007/s11042-014-1949-7"]}, {"id": "1608572473465387e4ed7b95936ecf7fbd10513f", "title": "Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "addresses": [{"name": "Beijing Etrol Technologies, Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}, {"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Lanzhou University", "source_name": "Lanzhou University", "street_adddress": "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "lat": "36.04776990", "lng": "103.85856240", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089379", "http://doi.org/10.1109/TII.2017.2767557"]}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "60593c176ba39e8cb63ba6a7bf936553984bb67c", "title": "From Categories to Individuals in Real Time -- A Unified Boosting Approach", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/45540/1/cvpr_submission.pdf", "http://vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/Data/CVPR2014_HALL.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hall_From_Categories_to_2014_CVPR_paper.pdf", "http://www.vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/Data/CVPR2014_HALL.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909424", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.30", "http://doi.org/10.1109/CVPR.2014.30"]}, {"id": "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "title": "P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025424", "http://doi.org/10.1109/TCSVT.2017.2748698"]}, {"id": "c1660197f94786364e624efed4ba03c0d8ab6161", "title": "Robust dictionary learning with graph regularization for unsupervised person re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5202-z"]}, {"id": "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "title": "Attributes co-occurrence pattern mining for video-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/avss2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078469", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078469", "http://doi.org/10.1109/AVSS.2017.8078469"]}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "808ed09fc6d56aa221e95e82d3ed37a9cce1da88", "title": "Datum-Adaptive Local Metric Learning for Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001603", "http://doi.org/10.1109/LSP.2014.2387847"]}, {"id": "f9824a85f30c687f7b3a3fbf25f842d3d87e77ea", "title": "Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning", "addresses": [{"name": "Xian Jiaotong University", "source_name": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8023775", "http://doi.org/10.1109/TNNLS.2017.2736640", "https://www.ncbi.nlm.nih.gov/pubmed/28880193", "https://www.wikidata.org/entity/Q47696400"]}, {"id": "76977a8e7afd645e83d3e5aaca47a44922188d47", "title": "Reference-based person re-identification", "addresses": [{"name": "Center for Research in Intelligent Systems University of California", "source_name": "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_avss.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/Reference-Based%20Person%20Re-Identification13.pdf", "http://www.ee.ucr.edu/~lan/papers/AVSS13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636647", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636647", "http://doi.org/10.1109/AVSS.2013.6636647"]}, {"id": "1b93698c1784db4abf72b500e51d4806e6430522", "title": "Re-id: Hunting Attributes in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1b93/698c1784db4abf72b500e51d4806e6430522.pdf"], "doi": []}, {"id": "5084cf08beb04ad91ef3c5649077255097d0c5d9", "title": "Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8249811", "http://doi.org/10.1109/ACCESS.2018.2790969"]}, {"id": "22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b", "title": "A Database for Person Re-Identification in Multi-Camera Surveillance Networks", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411689"]}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "ffe3d6fcfee0378e7afa0eb334a454144b5bd272", "title": "Semi-Coupled Dictionary Learning With Relaxation Label Space Transformation for Video-Based Person Re-Identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286855", "http://doi.org/10.1109/ACCESS.2018.2803789"]}, {"id": "cc9057d2762e077c53e381f90884595677eceafa", "title": "On the Exploration of Joint Attribute Learning for Person Re-identification", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cc90/57d2762e077c53e381f90884595677eceafa.pdf"], "doi": []}, {"id": "45269e9746a5bd45b7a329ba1116622dba2e1ac1", "title": "Camera compensation using feature projection matrix for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://multimedia.whu.edu.cn/group/publications/2013/8.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607482", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607482", "http://doi.org/10.1109/ICME.2013.6607482"]}, {"id": "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "title": "Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0991-0"]}, {"id": "a19a5a604e07c525f9a8969c05f1c9ed5b497053", "title": "Person re-identification across multi-camera system based on local descriptors", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6470137", "http://ieeexplore.ieee.org/document/6470137/"]}, {"id": "329e16cd476c958d1de8af89dee3ac0c5007e25b", "title": "Body Parts Synthesis for Cross-Quality Pose Estimation", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245864"]}, {"id": "4e6830f272eb7dabd42cf14133c57070dbdf212a", "title": "Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3529-7"]}, {"id": "0611dae4ae932e0c5f28f08676d234dd9233732f", "title": "Challenge of multi-camera tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1702.01507.pdf"], "doi": []}, {"id": "2de8508b33fe3ee290f94339a2f78f373e83b21d", "title": "Multi-Level Common Space Learning for Person Re-Identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7876753", "http://doi.org/10.1109/TCSVT.2017.2680118"]}, {"id": "172f0c646a67f6398a15b9cc69ab85bfda616e35", "title": "Person Re-Identification with Weighted Spatial-Temporal Features", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546076", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546076", "http://doi.org/10.1109/ICPR.2018.8546076"]}, {"id": "92dbaaabb91d14ec71843970c604303680c26695", "title": "Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296253", "http://doi.org/10.1109/ICIP.2017.8296253"]}, {"id": "02b33c654aa475f400552bf0743d8d2819e2c2bb", "title": "Two-stage appearance-based re-identification of humans in low-resolution videos", "addresses": [{"name": "Fraunhofer Institute of Optronics, System Technologies and Image Exploitation", "source_name": "Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6412619", "http://doi.org/10.1109/WIFS.2012.6412619"]}, {"id": "8e346f6cb75fa50e0c4e8fee4f198788b91569e1", "title": "Collaborative Networks for Person Verification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132385"]}, {"id": "7b6dc0a4feb3c940618f6c011ee1b75089e3b07a", "title": "Metric learning with trace-norm regularization for person re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025494", "http://doi.org/10.1109/ICIP.2014.7025494"]}, {"id": "ac5c5be6234c459fedea5d66fd34e916e4730949", "title": "Body structure based triplet Convolutional Neural Network for person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001772.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952461", "http://doi.org/10.1109/ICASSP.2017.7952461"]}, {"id": "774b649c75078e10759b3b6c8ea581e68fc45a40", "title": "Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2c8a/064665c280942ba717a46c590b4735a8fc1e.pdf"], "doi": []}, {"id": "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "title": "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/PengEtAl_CVPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.146", "http://doi.org/10.1109/CVPR.2016.146"]}, {"id": "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "title": "Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Huizhou University", "source_name": "Network Center, Huizhou University, Huizhou, China", "street_adddress": "Huizhou, Guangdong, China", "lat": "23.11225700", "lng": "114.41580100", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "ZTE Corporation, Shenzhen, China", "source_name": "ZTE Corporation, Shenzhen, China", "street_adddress": "Luosha Xianhu Motorway Interchange, Ta Kwu Ling", "lat": "22.55955070", "lng": "114.16262640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968366", "http://doi.org/10.1109/TCSVT.2017.2723429"]}, {"id": "586bfd960cbdba91eecbb06de994dacd38b9ab0f", "title": "Unsupervised Surveillance Video Retrieval Based on Human Action and Appearance", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/586b/fd960cbdba91eecbb06de994dacd38b9ab0f.pdf"], "doi": []}, {"id": "e0c6748799529ee035b21f040187d1e6df232624", "title": "Temporally aligned pooling representation for video-based person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533168", "http://doi.org/10.1109/ICIP.2016.7533168"]}, {"id": "c58a68628745ad189e47dcd956c7e23dc831da1f", "title": "Camera Compensation Using a Feature Projection Matrix for Person Reidentification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6739115", "http://doi.org/10.1109/TCSVT.2014.2305519"]}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06294.pdf"], "doi": []}, {"id": "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "title": "Attention-based Few-Shot Person Re-identification Using Meta Learning", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09613.pdf"], "doi": []}, {"id": "64c1d9a031ec0e6785dc92edc0d00cc0802e32b0", "title": "Key Person Aided Re-identification in Partially Ordered Pedestrian Set", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.10017.pdf"], "doi": []}, {"id": "4469d0d0ac2f6f0221dc865b132958df33faa95e", "title": "Region-Based Interactive Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://mmap.whu.edu.cn/wp-content/uploads/publications/2014/wz_2014PCM.pdf", "http://multimedia.whu.edu.cn/group/MAP/personalpage/wz_pdf/PCM2014%20V12.pdf", "http://multimedia.whu.edu.cn/group/publications/2014/wz_2014PCM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-13168-9_1", "http://www.escience.cn/system/download/74305"]}, {"id": "e56f2c9c0a2cf1db7ec49527cb70b345ec71cfbd", "title": "Person re-identification using a patch-based appearance model", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532460", "http://doi.org/10.1109/ICIP.2016.7532460"]}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.06351.pdf"], "doi": []}, {"id": "22f21d58c6aecdb4f57c50fa9eb4952643eec0e9", "title": "Domain Transfer Support Vector Ranking for Person Re-identification without Target Camera Label Information", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://stat.rutgers.edu/home/jma/publications/DTPRID_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Ma_Domain_Transfer_Support_2013_ICCV_paper.pdf", "http://www.stat.rutgers.edu/home/jma/publications/DTPRID_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751555", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.443", "http://doi.org/10.1109/ICCV.2013.443"]}, {"id": "e7d840cf207802918e5b09af0a650b8f38f824a8", "title": "Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03989.pdf"], "doi": []}, {"id": "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "title": "Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4649-2"]}, {"id": "37ba12271d09d219dd1a8283bc0b4659faf3a6c6", "title": "Domain transfer for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2510658"]}, {"id": "f89e5b1f61b221c7b00db55b64239a28f8ba9fe0", "title": "Ensemble Learning-Based Person Re-identification with Multiple Feature Representations", "addresses": [{"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f89e/5b1f61b221c7b00db55b64239a28f8ba9fe0.pdf"], "doi": []}, {"id": "e5a9b24056782a343ddc903aebc21e6c277a6b2d", "title": "People re-identification using two-stage transfer metric learning", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.mva-org.jp/Proceedings/2015USB/papers/15-03.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153260", "http://doi.org/10.1109/MVA.2015.7153260"]}, {"id": "221c18238b829c12b911706947ab38fd017acef7", "title": "A Richly Annotated Dataset for Pedestrian Attribute Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07054.pdf"], "doi": []}, {"id": "8e861a7809905a003fffa821574e68ae0c0788e7", "title": "Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/96b3/9fef9ec4cb1c58d93e27f0513f83de9adaa7.pdf"], "doi": []}, {"id": "ad01687649d95cd5b56d7399a9603c4b8e2217d7", "title": "Investigating Open-World Person Re-identification Using a Drone", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ad01/687649d95cd5b56d7399a9603c4b8e2217d7.pdf"], "doi": []}, {"id": "824364e018b4445bcc61ae86e112e68a4a067108", "title": "Person re-identification using sparse representation with manifold constraints", "addresses": [{"name": "Italian Institute of Technology, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy", "street_adddress": "27100 Pavia, Province of Pavia, Italy", "lat": "45.18472480", "lng": "9.15820690", "type": "edu", "country": "Italy"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.hamedkiani.com/uploads/5/1/8/8/51882963/template1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532462", "http://doi.org/10.1109/ICIP.2016.7532462"]}, {"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "title": "Scalable Person Re-identification: A Benchmark", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, {"id": "5438e7c8151311d76ed7335051069c7c07113a12", "title": "Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Greenwich", "source_name": "University of Greenwich, London, United Kingdom", "street_adddress": "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "lat": "51.48293080", "lng": "-0.00699500", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965715", "http://doi.org/10.1109/SERA.2017.7965715"]}, {"id": "19ae769aa067b5bd781882cd18551f7abe01bcf1", "title": "Data Generation for Improving Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123302"]}, {"id": "6448acca3bf4d14ad44756974a6486a317095a54", "title": "Deep multi-instance learning for end-to-end person re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4896-2"]}, {"id": "c9018677ec5bf65d92fd9fefdbd32c4e292dc2e4", "title": "A fast adaptive spatio-temporal 3D feature for video-based person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533170", "http://doi.org/10.1109/ICIP.2016.7533170"]}, {"id": "d3797366259182070c598e95cef8fff1ddb21f65", "title": "Distance-based Camera Network Topology Inference for Person Re-identification", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00158.pdf"], "doi": []}, {"id": "b534163cf101520e0868c46a754748fd0e4e0ef9", "title": "Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b534/163cf101520e0868c46a754748fd0e4e0ef9.pdf"], "doi": []}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "f49734bc34cb7cc50938a18e72d5fe338fa8a8fd", "title": "Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos", "addresses": [{"name": "Jyothi Institute of Technology, Bengaluru, India", "source_name": "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "street_adddress": "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "lat": "12.84122790", "lng": "77.51195860", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-017-0136-9"]}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "242e19b95f1cf77a74f1a99a899a8dc7d34f7c10", "title": "Multi-scale 3D Convolution Network for Video Based Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.07468.pdf"], "doi": []}, {"id": "82485c89a6b48077b03b65a774fd5768ea768d4d", "title": "Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03112.pdf"], "doi": []}, {"id": "fccd8c1b41f7f7a91b7bbe896b31fa936b5aacbf", "title": "Deep pedestrian attribute recognition based on LSTM", "addresses": [{"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296261", "http://doi.org/10.1109/ICIP.2017.8296261"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "2c2d2c82fda9f01f37cb86d80f5c0f5e963d68d0", "title": "Evaluation of basic visual features for person re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7491005"]}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "ac36284cfa95e613f9e726cd017a5dca207fe633", "title": "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7859378", "http://doi.org/10.1109/TIP.2017.2672440", "https://www.ncbi.nlm.nih.gov/pubmed/28237930", "https://www.wikidata.org/entity/Q53478605"]}, {"id": "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "title": "Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-Task_Learning_With_ICCV_2015_paper.pdf", "http://www.umiacs.umd.edu/~fyang/papers/iccv15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410783", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.426", "http://doi.org/10.1109/ICCV.2015.426"]}, {"id": "66284b8894bab0165c4210cd2df749f0b015c88e", "title": "Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8e0/0a3fb542d0d6ab090b28aa864de9c262fd40.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "61d715d3a668780eef5f019450d3cd1378c6b02c", "title": "Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/61d7/15d3a668780eef5f019450d3cd1378c6b02c.pdf"], "doi": []}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "cf203d22a4a292f24cb6eb8bd50d4b0991fdab7d", "title": "Body Part-Based Person Re-identification Integrating Semantic Attributes", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9887-4"]}, {"id": "f11d3728c1e3ca14c697ea2c95f428d38f340554", "title": "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078250", "http://doi.org/10.1109/TIFS.2017.2765524"]}, {"id": "7f02f790f320194d5eccf7665066308e46f5d0e9", "title": "Coupled-View Based Ranking Optimization for Person Re-identification", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://multimedia.whu.edu.cn/group/MAP/personalpage/Mang%20Ye's%20Homepage/ym_mmm.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/mmm2015.pdf", "http://www.comp.hkbu.edu.hk/~mangye/files/ym_mmm.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-14445-0_10"]}, {"id": "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "title": "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954687", "http://doi.org/10.1109/TCSVT.2017.2718036"]}, {"id": "ba32bcea914685f2dacc689b3d9dc070eceae684", "title": "Person Re-Identification by Weighted Integration of Sparse and Collaborative Representation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8070940", "http://doi.org/10.1109/ACCESS.2017.2757028"]}, {"id": "eb51b630b194f6161dadeca54b3d21330cde9ebd", "title": "Video Based Person Re-Identification by Re-Ranking Attentive Temporal Information in Deep Recurrent Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451594"]}, {"id": "76ad6daa899a8657c9c17480e5fc440fda53acec", "title": "A Multi-task Deep Network for Person Re-identification", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05369.pdf"], "doi": []}, {"id": "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "title": "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700", "http://doi.org/10.1109/TCSVT.2017.2718188"]}, {"id": "df45ca54171804193c0b499e8f3d282cc8b06998", "title": "LVreID: Person Re-Identification with Long Sequence Videos", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07286.pdf"], "doi": []}, {"id": "d8f837265fe76e26c99052229c4997fbec20573a", "title": "View-Adaptive Metric Learning for Multi-view Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d8f8/37265fe76e26c99052229c4997fbec20573a.pdf"], "doi": []}, {"id": "700ae4e8a6e64e08a5d551bf174f31ca20b61e18", "title": "Phasic maximal and local maximal occurrence representation for video-based person re-identification", "addresses": [{"name": "PLA University of Science and Technology", "source_name": "PLA University of Science and Technology, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8230298"]}, {"id": "75150b16cee83641f01074568fe4b2d2eb3d0a31", "title": "Sparse coding with cross-view invariant dictionaries for person re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4893-5"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/cuhk_campus_03.json b/site/datasets/unknown/cuhk_campus_03.json index d797fff6..0172f8d8 100644 --- a/site/datasets/unknown/cuhk_campus_03.json +++ b/site/datasets/unknown/cuhk_campus_03.json @@ -1 +1 @@ -{"id": "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "citations": [{"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "d8a3dbeb3e262d873d5c01c2d9af7302fbc86fcb", "title": "Hessian Regularized Distance Metric Learning for People Re-Identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-019-10000-4"]}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "25bb4212af72d64ec20cac533f58f7af1472e057", "title": "Person Re-Identification by Camera Correlation Aware Feature Augmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.08837.pdf"], "doi": []}, {"id": "02e43d9ca736802d72824892c864e8cfde13718e", "title": "Transferring a semantic representation for person re-identification and search", "year": "2015", "pdf": ["https://arxiv.org/pdf/1706.03725.pdf"], "doi": []}, {"id": "b3c375f2113eb891682b94d49a8a557f18d3ad1e", "title": "Person Orientation and Feature Distances Boost Re-identification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977503", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2014.790", "http://doi.org/10.1109/ICPR.2014.790"]}, {"id": "7c1f47ca50a8a55f93bf69791d9df2f994019758", "title": "Re-identification and semantic retrieval of pedestrians in video surveillance scenarios", "year": "2016", "pdf": ["http://veprints.unica.it/1295/1/PhD_ThesisPalaF.pdf"], "doi": ["https://www.base-search.net/Record/ccb1ca569ce2ea9f085d6b881e6460aba3aa6f76044859d2948b4eb9f7dda817"]}, {"id": "b5790f1bc586a77ff2cbea002b7ad2646e32af6b", "title": "Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Garcia_Person_Re-Identification_Ranking_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Garcia_Person_Re-Identification_Ranking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410511", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.154", "http://doi.org/10.1109/ICCV.2015.154"]}, {"id": "3e159084e12ece3664a17bf4dd0eed8c5f06a33f", "title": "Deep Neural Networks with Inexact Matching for Person Re-Identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e15/9084e12ece3664a17bf4dd0eed8c5f06a33f.pdf"], "doi": []}, {"id": "cf682939be6828d1a70161618024e02af660d1bb", "title": "Structured learning of metric ensembles with application to person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.08531.pdf"], "doi": []}, {"id": "1a3bd11734742234ed8b12bf6221f2569b2a59db", "title": "Bagging based metric learning for person re-identification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890259", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890259", "http://doi.org/10.1109/ICME.2014.6890259"]}, {"id": "59a76bab968ac4cd740eb376ce9a26f6c1b103e4", "title": "People Re-Identification with Local Distance Comparison Using Learned Metric", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/59a7/6bab968ac4cd740eb376ce9a26f6c1b103e4.pdf"], "doi": []}, {"id": "4953dc81247efe5a1c28c79fd1d4ab69bbb9f21c", "title": "Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04179.pdf"], "doi": []}, {"id": "1898cc980300b5646116ee68d54957da439a7236", "title": "Classification of Local Eigen-Dissimilarities for Person Re-Identification", "year": "2015", "pdf": ["http://users.dimi.uniud.it/~niki.martinel/data/publications/2015/SPL/MarMicSPL2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919267", "http://doi.org/10.1109/LSP.2014.2362573"]}, {"id": "b2efa9a9d996b396317e94d26add673bbf804bca", "title": "RGB-Infrared Cross-Modality Person Re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237837"]}, {"id": "a7fe834a0af614ce6b50dc093132b031dd9a856b", "title": "Orientation Driven Bag of Appearances for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02464.pdf"], "doi": []}, {"id": "1de96fa00e498b425a34a85b7fb491431d00a41c", "title": "Appearance features in Encoding Color Space for visual surveillance", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2018.04.019"]}, {"id": "135fe2a0a0e6b726e5d81299edad4b3ce39d6614", "title": "Multichannel-Kernel Canonical Correlation Analysis for Cross-View Person Reidentification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.02204.pdf"], "doi": []}, {"id": "b39caa8b3f8d2da981285a0115a61a66b5f50b93", "title": "Towards Open-World Person Re-Identification by One-Shot Group-Based Verification", "year": "2016", "pdf": ["http://isee.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Person_VeriReId-preprint.pdf", "https://www.computer.org/csdl/trans/tp/2016/03/07398274.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7152932", "http://doi.org/10.1109/TPAMI.2015.2453984", "https://www.ncbi.nlm.nih.gov/pubmed/27046499", "https://www.wikidata.org/entity/Q35980118"]}, {"id": "50245be68e70e8447610d6fb304bf1c49cf2feda", "title": "Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237375"]}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "d6a9ea9b40a7377c91c705f4c7f206a669a9eea2", "title": "Visual Representations for Fine-grained Categorization", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d6a9/ea9b40a7377c91c705f4c7f206a669a9eea2.pdf"], "doi": []}, {"id": "ef7191fd43d120b77d3d367f8a6e11ae38ca5212", "title": "Person reidentification by semisupervised dictionary rectification learning with retraining module", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/60d7/5d32d345c519fa5c0d8d6b6eb62e633a8d13.pdf"], "doi": []}, {"id": "2ac31bc7a4dd0256166208dcc8d5dfa99347117e", "title": "A Window-Based Classifier for Automatic Video-Based Reidentification", "year": "2016", "pdf": ["http://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2016/12/A-Window-Based-Classifier-for-Automatic-Video-Based-Reidentification.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7577884", "http://doi.org/10.1109/TSMC.2016.2609153"]}, {"id": "02f038ed453de0551813159284746126168f5e15", "title": "Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/02f0/38ed453de0551813159284746126168f5e15.pdf"], "doi": []}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "a23f55dacd3b2f3e61d6a30da49c307ed0102807", "title": "Unsupervised person re-identification via re-ranking enhanced sample-specific metric learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296914", "http://doi.org/10.1109/ICIP.2017.8296914"]}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "b07cf8eabdbc66df9cbc2bb93bedec1c8e5c41f0", "title": "Sparse tree structured representation for re-identification", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.003"]}, {"id": "9cf6d66a0b4e5a3347466a60caea411d67c4b5b7", "title": "Joint transfer component analysis and metric learning for person re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9cf6/d66a0b4e5a3347466a60caea411d67c4b5b7.pdf"], "doi": []}, {"id": "a0cc5f73a37723a6dd465924143f1cb4976d0169", "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578114"]}, {"id": "160ab0e879f4451fa4df88cd567508150894ba9d", "title": "Cross Dataset Person Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/160a/b0e879f4451fa4df88cd567508150894ba9d.pdf"], "doi": []}, {"id": "79c2d4a2f802b1df52096154484362aec06290e5", "title": "Person Re-Identification with a Body Orientation-Specific Convolutional Neural Network", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/17db/741725b9f8406f69b27a117e99bee1a9a323.pdf"], "doi": []}, {"id": "46638b810bf69023bca41db664b49bc935bcba3c", "title": "Unsupervised Salience Learning for Person Re-identification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d586.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhao_Unsupervised_Salience_Learning_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~rzhao/project/salience_cvpr13/zhaoOWcvpr13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619304", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.460", "http://doi.org/10.1109/CVPR.2013.460"]}, {"id": "61245ce4b3d8faf4721a27cd92337226bff82f74", "title": "Human re-identification in multi-camera systems", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7041916", "http://doi.ieeecomputersociety.org/10.1109/AIPR.2014.7041916", "http://doi.org/10.1109/AIPR.2014.7041916", "http://ecommons.udayton.edu/cgi/viewcontent.cgi?article=1460&context=stander_posters"]}, {"id": "7557e81c1189f0ef9643519e0664d60baed51721", "title": "Robust and Efficient Graph Correspondence Transfer for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06323.pdf"], "doi": []}, {"id": "2170636d5d31eb461618b5da10f4473c67e74e73", "title": "Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780518", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.149", "http://doi.org/10.1109/CVPR.2016.149"]}, {"id": "2880826d86a57cd15a73872ad6339baf5b100a9e", "title": "On deeply learning features for automatic person image re-identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2880/826d86a57cd15a73872ad6339baf5b100a9e.pdf"], "doi": []}, {"id": "6ce99d07c3673a8fc43bc659bb659df753bc3fdd", "title": "Improved BOF Method for Person Re-Identification", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820507", "http://doi.ieeecomputersociety.org/10.1109/CIS.2016.0116", "http://doi.org/10.1109/CIS.2016.0116"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca", "title": "Person Re-identification in Identity Regression Space", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09695.pdf"], "doi": []}, {"id": "f10f6c294130c76981f0e584af5811c44636eda5", "title": "The Re-identification Challenge", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/109c/7a377a1160ff36874829e3d0a47e08d7ea5e.pdf"], "doi": []}, {"id": "fe54a5a10288648f3bd0a71b053cdb896716b552", "title": "Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04419.pdf"], "doi": []}, {"id": "83d58ac8221c3ccf33cb41ec9a8b3556e5ebb397", "title": "Feedback mechanism based iterative metric learning for person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.04.012"]}, {"id": "7ac25c5391251611696d16e677bd71040d80d583", "title": "Person Re-Identification by Saliency Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.1908.pdf"], "doi": []}, {"id": "0195bf2b913dbc527fb081674f480ecd8a799c34", "title": "Parametric Local Multi-modal Metric Learning for Person Re-identification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977158", "http://doi.org/10.1109/ICPR.2014.445"]}, {"id": "4c822705edd305d04f2c02ac9b1b73421e857961", "title": "Towards fully automated person re-identification", "year": "2014", "pdf": ["http://welcome.isr.ist.utl.pt/img/pdfs/3074_2013_VISAPP_FullyAutomatedReIdentification.pdf", "http://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2015/05/3074_2013_VISAPP_FullyAutomatedReIdentification.pdf", "http://www.scitepress.org/Papers/2014/46823/46823.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295073", "http://doi.org/10.5220/0004682301400147"]}, {"id": "6313ecbdfee7d04cbf22755c4b53193f42467a92", "title": "Activity Prediction Based on Spatiotemporal Model in a Multiple Cameras Network", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153894", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2015.64", "http://doi.org/10.1109/BigMM.2015.64"]}, {"id": "ae936628e78db4edb8e66853f59433b8cc83594f", "title": "PRISM: Person Reidentification via Structured Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1406.4444.pdf"], "doi": []}, {"id": "c155d39ccff4571fa62f3d164c607544bfb3ed4c", "title": "Deep Global And Local Saliency Learning With New Re-Ranking For Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551509"]}, {"id": "1e21078efc0aa7a3881d0e87cb5dd5918523f525", "title": "Network Consistent Data Association", "year": "2016", "pdf": ["http://cs-people.bu.edu/dasabir/papers/NCDA_PAMI2016.pdf", "http://www.ece.ucr.edu/~amitrc/publications/Camera_Ready_Manuscript.pdf", "http://www.ece.ucr.edu/~amitrc/publications/NCDA.pdf", "http://www.ee.ucr.edu/~amitrc/publications/Camera_Ready_Manuscript.pdf", "https://cloudfront.escholarship.org/dist/prd/content/qt6cw6x0vr/qt6cw6x0vr.pdf?t=n9na8b"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299668", "http://doi.org/10.1109/TPAMI.2015.2491922", "https://www.ncbi.nlm.nih.gov/pubmed/26485472", "https://www.wikidata.org/entity/Q31008768"]}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf", "title": "Hierarchical Gaussian Descriptors with Application to Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04318.pdf"], "doi": []}, {"id": "1f5c409e9b6aec60003b5d4534373f9b07ff8443", "title": "Saliency Weighted Features for Person Re-identification", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/workshops/w19/08%20-%20Saliency%20Weighted%20Features%20for%20Person.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-16199-0_14"]}, {"id": "38feccdbb8d98e325cac41edfbfb3cab866fd968", "title": "Recurrent Models of Visual Co-Attention for Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598867"]}, {"id": "2c98300103c86401c979ec158a659fb07fd2a36e", "title": "Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation", "year": "2018", "pdf": ["http://crabwq.github.io/pdf/2018%20Bike-Person%20Re-Identification%20A%20Benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8476557", "http://doi.org/10.1109/ACCESS.2018.2872804"]}, {"id": "c5f4b605eb866000aedaf7377f6329be10b5920e", "title": "Optimizing Multi-Granularity Region Similarity for Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598715", "http://doi.org/10.1109/access.2018.2890664"]}, {"id": "2b50f8e4568ecd84e2f9d6357254272d8db4bbd4", "title": "Hierarchical Gaussian Descriptor for Person Re-identification", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Matsukawa_Hierarchical_Gaussian_Descriptor_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Matsukawa_Hierarchical_Gaussian_Descriptor_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780521", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.152", "http://doi.org/10.1109/CVPR.2016.152"]}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "f727b12c905ac585de60811048c9f9dd4188b498", "title": "R 4-A . 2 : Rapid Forensic Search & Retrieval in Video", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f727/b12c905ac585de60811048c9f9dd4188b498.pdf"], "doi": []}, {"id": "489decd84645b77d31001d17a66abb92bb96c731", "title": "Learning View-Specific Deep Networks for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11333.pdf"], "doi": []}, {"id": "fcb64ef4421cebb80eb33f62c7726f339eb2bb62", "title": "Deep View-Aware Metric Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fcb6/4ef4421cebb80eb33f62c7726f339eb2bb62.pdf"], "doi": []}, {"id": "0a2aca07c9e15de3d5924e156af9a8e1a67b4cab", "title": "Person Reidentification With Reference Descriptor", "year": "2016", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tcsvt2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7067434", "http://doi.org/10.1109/TCSVT.2015.2416561"]}, {"id": "70ab6dacf948624998d61e3476d0604c9ea2d349", "title": "A pool of multiple person re-identification experts", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.022"]}, {"id": "ae299fad29ba650fbf1e14c7c95ba8ae32e095f0", "title": "Person Re-Identification by Robust Canonical Correlation Analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006657", "http://doi.org/10.1109/LSP.2015.2390222"]}, {"id": "1b3505018e39a794eab032e7e313784b21be42e9", "title": "Saliency based Person Re-Identification in Video using Colour Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1b35/05018e39a794eab032e7e313784b21be42e9.pdf"], "doi": []}, {"id": "6b21214562e3cdb3b7b9027f0f88918f6ee24c52", "title": "GDMN: Group Decision-Making Network for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8506353"]}, {"id": "3da3630061a1b70ceb843711629eb320085cc9ee", "title": "Adaptive Metric Learning in Local Distance Comparison for People Re-identification", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778309", "http://doi.org/10.1109/ACPR.2013.86"]}, {"id": "6a167375410115d83be377de1f9714929f301b00", "title": "End-to-End Correspondence and Relationship Learning of Mid-Level Deep Features for Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227426", "http://doi.org/10.1109/DICTA.2017.8227426"]}, {"id": "8ae80fab47049968f8f3ff07fffeca9665ae1f52", "title": "Efficient and Deep Person Re-identification Using Multi-level Similarity", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578346"]}, {"id": "f05d2e412e6758510f1a6c8321fd0042ce0e6151", "title": "Deep feature learning for person re-identification in a large-scale crowdsourced environment", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11227-017-2221-5"]}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"id": "c7cda3ae7c301080d0f062b11452e12c0272f8cf", "title": "Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8263222", "http://doi.org/10.1109/ACCESS.2018.2795020"]}, {"id": "8d8afef13a8f6195d3b874231e5e767cf62f3c50", "title": "Deep Ranking for Person Re-Identification via Joint Representation Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.06821.pdf"], "doi": []}, {"id": "64a6c30ca95e85427c56acb4c1c20f62c6ec0709", "title": "PersonNet: Person Re-identification with Deep Convolutional Neural Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07255.pdf"], "doi": []}, {"id": "c0153b92a59fe0cb6405c888dd536d44d34a92fb", "title": "Enhancing Detection Model for Multiple Hypothesis Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w34/papers/Chen_Enhancing_Detection_Model_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015000", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.266", "http://doi.org/10.1109/CVPRW.2017.266"]}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468189", "http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "21e880907053301b621d318a4b81dbe1b51c3aad", "title": "A Novel Visual Word Co-occurrence Model for Person Re-identification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.6532.pdf"], "doi": []}, {"id": "a57e735f3582365dea89a202bdbcc43e53af6ad4", "title": "Enhancing person re-identification by late fusion of low-, mid- and high-level features", "year": "2017", "pdf": ["http://vbn.aau.dk/files/264634343/re_id.pdf"], "doi": ["https://doi.org/10.1049/iet-bmt.2016.0200"]}, {"id": "05a6a40c840c069631a825509f3095697592e1c4", "title": "IAN: The Individual Aggregation Network for Person Search", "year": "2019", "pdf": ["https://arxiv.org/pdf/1705.05552.pdf"], "doi": []}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "71529e3e51f2967e338124652e93a3d34eb6c5e1", "title": "Deep triplet-group network by exploiting symmetric and asymmetric information for person reidentification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7152/9e3e51f2967e338124652e93a3d34eb6c5e1.pdf"], "doi": []}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "5a603ab4b6353fc244361930c28723b3bc091f4b", "title": "Deep Feature Learning with Relative Distance Comparison for Person Re-identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.03622.pdf"], "doi": []}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "eca9b9dd665556423278b85f79e1d589009a7ea7", "title": "Person Re-Identi fi cation by Robust Canonical Correlation Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/eca9/b9dd665556423278b85f79e1d589009a7ea7.pdf"], "doi": []}, {"id": "7bb929b8ff2f83de91318865232819be8b13fbe5", "title": "Discriminant Context Information Analysis for Post-Ranking Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815412", "http://doi.org/10.1109/TIP.2017.2652725", "https://www.ncbi.nlm.nih.gov/pubmed/28092558", "https://www.wikidata.org/entity/Q39018259"]}, {"id": "2c3b31284e8ed00a473338be011570967cc15958", "title": "Re-Identification in the Function Space of Feature Warps", "year": "2015", "pdf": ["http://cs-people.bu.edu/dasabir/papers/PAMI14-Reid.pdf", "http://cs-people.bu.edu/dasabir/papers/Supplementary-PAMI2014-Reid.pdf", "http://www.ece.ucr.edu/~amitrc/publications/PAMI14-Reid.pdf", "http://www.ee.ucr.edu/~adas/cv_rs/CurrentResDescription_Long.pdf", "http://www.ee.ucr.edu/~amitrc/publications/PAMI14-Reid.pdf", "http://www.ee.ucr.edu/~amitrc/publications/Supplementary-PAMI2014-Reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975169", "http://doi.org/10.1109/TPAMI.2014.2377748", "https://www.ncbi.nlm.nih.gov/pubmed/26353002", "https://www.wikidata.org/entity/Q50857562"]}, {"id": "230527d37421c28b7387c54e203deda64564e1b7", "title": "Person Re-identification: System Design and Evaluation Overview", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2305/27d37421c28b7387c54e203deda64564e1b7.pdf"], "doi": []}, {"id": "9836ebbef8ba972af323e20ba7667e2d03105895", "title": "A Neuromorphic Person Re-Identification Framework for Video Surveillance", "year": "2017", "pdf": ["http://dspace.nitrkl.ac.in/dspace/bitstream/2080/2759/1/IEEEAccess_V5_6471-6482_ANanda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885600", "http://doi.org/10.1109/ACCESS.2017.2686438"]}, {"id": "3f45d73a7b8d10a59a68688c11950e003f4852fc", "title": "Person re-identification by Local Maximal Occurrence representation and metric learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1406.4216.pdf"], "doi": []}, {"id": "1f6dd0ff2e8493b81e3699b520193198d4eed4e6", "title": "Shaogang Gong Part I Features and Representations 1 Discriminative Image Descriptors for Person Re-identification . . . . . 25 7 One-shot Person Re-identification with a Consumer Depth Camera . 163 List of Contributors the Re-identification Challenge", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f6d/d0ff2e8493b81e3699b520193198d4eed4e6.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "37b207d2c4a82a57f80e96353f79ecd71320a854", "title": "Person Search with Natural Language Description", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05729.pdf"], "doi": []}, {"id": "7c37f8213a33a07076ece47660ad681cb1b58d08", "title": "Adaptive Metric Learning for People Re-Identification", "year": "2014", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E97.D/11/E97.D_2013EDP7451/_pdf/-char/en"], "doi": ["https://doi.org/10.1587/transinf.2013EDP7451", "http://search.ieice.org/bin/summary.php?id=e97-d_11_2888"]}, {"id": "61ab9bf00e444d12816886da0d68b833c47c152e", "title": "A coarse-to-fine deep learning for person re-identification", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477677", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477677", "http://doi.org/10.1109/WACV.2016.7477677"]}, {"id": "3005a4afddab849d9070788ac0e4e95e0fff2216", "title": "Transfer Metric Learning: Algorithms, Applications and Outlooks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03944.pdf"], "doi": []}, {"id": "1459d4d16088379c3748322ab0835f50300d9a38", "title": "Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.04039.pdf"], "doi": []}, {"id": "99d3bc6d62675297693e5e57ff0770e7017f9637", "title": "Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.09150.pdf"], "doi": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "07f5c01b1e272fca1fc575ab84ac1710cbe58518", "title": "A Deep Structure of Person Re-Identification Using Multi-Level Gaussian Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07720.pdf"], "doi": []}, {"id": "56c5d08103c5bf4b263a81da73135455136bbe6d", "title": "Kernel MBPLS for a Scalable and Multi-Camera Person Re-Identification System", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/56c5/d08103c5bf4b263a81da73135455136bbe6d.pdf"], "doi": []}, {"id": "81eecb00eeadb5fe36cd840b687439bfdca7ff30", "title": "Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning", "year": "2015", "pdf": ["http://users.dimi.uniud.it/~christian.micheloni/papers/journals/MarMicForTIP2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7289409", "http://doi.org/10.1109/TIP.2015.2487048", "https://www.ncbi.nlm.nih.gov/pubmed/26452280", "https://www.wikidata.org/entity/Q40448201"]}, {"id": "9ff961417d02f94d3e8a2accc591edd6f79cc21c", "title": "Asymmetric Projection and Dictionary Learning With Listwise and Identity Consistency Constraints for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8410867", "http://doi.org/10.1109/ACCESS.2018.2853259"]}, {"id": "fef7fb6f3e239c346cd144960e27875889fdd650", "title": "One-Shot Metric Learning for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Bak_One-Shot_Metric_Learning_CVPR_2017_paper.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170713092653/One-Shot-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099654", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.171", "http://doi.org/10.1109/CVPR.2017.171"]}, {"id": "f34fdcaba3ab1c2533a00b10d83263af5d488e8d", "title": "Multi-Pose Learning based Head-Shoulder Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397013", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00057", "http://doi.org/10.1109/MIPR.2018.00057"]}, {"id": "63ac85ec1bff6009bb36f0b24ef189438836bc91", "title": "Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.01595.pdf"], "doi": []}, {"id": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.pdf"], "doi": []}, {"id": "6c518aabdbba2c073eab6a3bb4120023851e524c", "title": "Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c51/8aabdbba2c073eab6a3bb4120023851e524c.pdf"], "doi": []}, {"id": "f27ac0f3a0c69571cb7d707d39bac2c5bd9c43a4", "title": "Modeling Unknown Class Centers for Metric Learning on Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8419228", "http://doi.org/10.1109/ACCESS.2018.2857210"]}, {"id": "a473ad49f4570c2008d6738e9e83a6a393237f57", "title": "EV-Matching: Bridging Large Visual Data and Electronic Data for Efficient Surveillance", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7980012", "http://doi.ieeecomputersociety.org/10.1109/ICDCS.2017.89", "http://doi.org/10.1109/ICDCS.2017.89"]}, {"id": "441e7df66fe6052a6b770c3aeca4acd8dea98643", "title": "PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.06011.pdf"], "doi": []}, {"id": "16e577820999e584c787ec611f55746cf9147518", "title": "Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs", "year": "2015", "pdf": ["http://www.cs.jhu.edu/~andyjhma/DAPRIDfinal.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7018030", "http://doi.org/10.1109/TIP.2015.2395715", "https://www.ncbi.nlm.nih.gov/pubmed/25622315", "https://www.wikidata.org/entity/Q41524881"]}, {"id": "7191676f46478c0e8cf3030bae42524ce38353a7", "title": "Multi-view Hybrid Embedding: A Divide-and-Conquer Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07237.pdf"], "doi": []}, {"id": "d1e8a08aafc64661206c495e963e0b244dfe59cd", "title": "R 4-A . 1 : Dynamics-Based Video Analytics", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aa42/0d32c48a3fd526a91285673cd55ca9fe2447.pdf"], "doi": []}, {"id": "be49690e496fbe399a31994570ec4e2146bdc370", "title": "Exploiting Cross Domain Relationships for Target Recognition", "year": "2015", "pdf": [], "doi": []}, {"id": "f8ebba8188c9f6b1688ba7ba76f297215e6cc7c7", "title": "Triplet-Based Deep Similarity Learning for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.03254.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "0a6a173a1d1d36285bae97f98f4b901067d40097", "title": "Similarity learning on an explicit polynomial kernel feature map for person re-identification", "year": "2015", "pdf": ["http://research.microsoft.com/en-us/um/people/jingdw/pubs/CVPR15-PersonReID.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_050.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_050_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298764", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298764", "http://doi.org/10.1109/CVPR.2015.7298764"]}, {"id": "5cd2b28b9e88b2be0b8c9d9ddce8440656477d1c", "title": "Person Re-Identification with Deep Features and Transfer Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8005887", "http://doi.ieeecomputersociety.org/10.1109/CSE-EUC.2017.136", "http://doi.org/10.1109/CSE-EUC.2017.136"]}, {"id": "850d2697fec9c2bb434907db1c0a11e200f32dbe", "title": "Improving Person Re-identification by Body Parts Segmentation Generated by GAN", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489450", "http://doi.org/10.1109/IJCNN.2018.8489450"]}, {"id": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"], "doi": []}, {"id": "33ec945e6a4ae7fe0268ffe142098ea9caf6588f", "title": "Deep Person Re-Identification with Improved Embedding", "year": "2017", "pdf": [], "doi": []}, {"id": "e989a827fa3b00941410364cd3507e4779bffb69", "title": "Person re-identification by the asymmetric triplet and identification loss function", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5182-z"]}, {"id": "d75640108db01f7e0706780e6356a0c82c7eaf29", "title": "Multiple-Shot People Re-Identification by Patch-Wise Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d756/40108db01f7e0706780e6356a0c82c7eaf29.pdf"], "doi": []}, {"id": "f68ed499e9d41f9c3d16d843db75dc12833d988d", "title": "Multi-view Common Component Discriminant Analysis for Cross-view Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05029.pdf"], "doi": []}, {"id": "be21529c47b79b688b420c5e296086698ba11350", "title": "CNN-Based Multimodal Human Recognition in Surveillance Environments", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/be21/529c47b79b688b420c5e296086698ba11350.pdf"], "doi": []}, {"id": "c91406fea53e869e431dc9a799b989321a66c9da", "title": "Point to Set Similarity Based Deep Feature Learning for Person Re-Identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Point_to_Set_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100017", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.534", "http://doi.org/10.1109/CVPR.2017.534"]}, {"id": "a9351c53346be32b7d6e0e80a93f2e383fe85eae", "title": "Relevance Metric Learning for Person Re-identification by Exploiting Global Similarities", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977003", "http://doi.org/10.1109/ICPR.2014.292"]}, {"id": "514273063cebe911f0b628d012e9553129181996", "title": "Distributed Implementation for Person Re-Identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7288501"]}, {"id": "246fa412f26d5bf5b151a7c3f5287141bd08ae0b", "title": "Deep Metric Learning for the Target Cost in Unit-Selection Speech Synthesizer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/246f/a412f26d5bf5b151a7c3f5287141bd08ae0b.pdf"], "doi": []}, {"id": "487668cc36443a67378f253afe05a550eda2c4f1", "title": "Continuous adaptation of multi-camera person identification models through sparse non-redundant representative selection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.00417.pdf"], "doi": []}, {"id": "edd4b6d99367a69865377109f5f8bcf872f0ba45", "title": "Versatile loitering detection based on non-verbal cues using dense trajectory descriptors", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6618-9"]}, {"id": "c2776c5ae1aa8d640ad96f06a2c82707fe70a850", "title": "DeNet: An explicit distance ensemble model for person re-identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486458", "http://doi.org/10.1109/ACPR.2015.7486458"]}, {"id": "78b046f79754d61afb985f100f98b83399cb2b63", "title": "Efficient object-based surveillance image search using spatial pooling of convolutional features", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2017.02.010", "https://www.wikidata.org/entity/Q57581691"]}, {"id": "107010b7f2abe3c0c9df62bcef35eb77f6fc76df", "title": "Domain-adversarial training of neural networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.07818.pdf"], "doi": []}, {"id": "83335a287533fa24efdfad928db8fd8888ec4ef4", "title": "Person re-identification employing 3D scene information", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.24.5.051007"]}, {"id": "fd0e1fecf7e72318a4c53463fd5650720df40281", "title": "End-to-End Comparative Attention Networks for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04404.pdf"], "doi": []}, {"id": "15e6e1551ce9a4094c57db70985e420e57c6997a", "title": "Asymmetric cross-view dictionary learning for person re-identification", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001228.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952352", "http://doi.org/10.1109/ICASSP.2017.7952352"]}, {"id": "16f1a35d0149482d6b2b67df58b21b68622e6b9c", "title": "Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics", "year": "2016", "pdf": ["http://ijcai.org/Proceedings/16/Papers/501.pdf", "https://www.ijcai.org/Proceedings/16/Papers/501.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424182", "http://doi.org/10.1109/TIP.2018.2861366", "http://www.ijcai.org/Abstract/16/501", "https://www.ncbi.nlm.nih.gov/pubmed/30072322"]}, {"id": "7b2e0c87aece7ff1404ef2034d4c5674770301b2", "title": "Discriminative Feature Learning with Foreground Attention for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01455.pdf"], "doi": []}, {"id": "bf4780c028ba42bceb222bde11450672138602f5", "title": "Person re-identification based on CCN feature representations learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107776", "http://doi.org/10.1109/ICMLC.2017.8107776"]}, {"id": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"], "doi": []}, {"id": "2ec9a7729d6bddeadd1ba073dd27696aa1a20174", "title": "Region Constraint Person Re-Identification via Partial Least Square on Riemannian Manifold", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8306111", "http://doi.org/10.1109/ACCESS.2018.2808602"]}, {"id": "13e3a68dd49b2098c2cad2acc799953abdcaa3ee", "title": "Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1135-x"]}, {"id": "cb8567f074573a0d66d50e75b5a91df283ccd503", "title": "Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.05512.pdf"], "doi": []}, {"id": "b82a4a0457170258aaf622b81e6f739a220398eb", "title": "Probe Strongly Similar Neutral Strongly Dissimilar Quasi-similar Quasi-dissimilar Push Pull", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b82a/4a0457170258aaf622b81e6f739a220398eb.pdf"], "doi": []}, {"id": "123286df95d93600f4281c60a60c69121c6440c7", "title": "Deep Self-Paced Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.05711.pdf"], "doi": []}, {"id": "50f3209d022d1ac185237425a3ad682d2234c1ca", "title": "Boosting Fisher vector based scoring functions for person re-identification", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.008"]}, {"id": "3f95710d17556d5064bda289dea5adbce2777a59", "title": "Eliminating Background-bias for Robust Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578705"]}, {"id": "2c4dd7d5ec500f180cc8301d96389a81d3a99c65", "title": "Integrated Global-Local Metric Learning for Person Re-identification", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926655.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926655", "http://doi.org/10.1109/WACV.2017.72"]}, {"id": "b5c3df6e0e3b25411151d92d431908adceca1a23", "title": "Person Re-Identification by Pose Invariant Deep Metric Learning With Improved Triplet Loss", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8522036", "http://doi.org/10.1109/ACCESS.2018.2879490"]}, {"id": "f7a7b1dc7a4a7adb5e0d612b2dc86aa32ce80ca2", "title": "RPIfield: A New Dataset for Temporally Evaluating Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575417"]}, {"id": "5bb24d1250df62a56cab1445f1d8c5c61269b785", "title": "Measuring the Temporal Behavior of Real-World Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05499.pdf"], "doi": []}, {"id": "d5c86768c067df0732187040c21f23fe2183e597", "title": "Appearance-based person re-identification by intra-camera discriminative models and rank aggregation", "year": "2015", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2015_ICB_Prates.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139077", "http://doi.org/10.1109/ICB.2015.7139077"]}, {"id": "58888b30e9123c1b1709be1efa92898e090d7bd2", "title": "Person Re-Identification by Discriminative Selection in Video Ranking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06260.pdf"], "doi": []}, {"id": "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "title": "Human tracking over camera networks: a review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/39df/6ca15f41e5a674ed8cd1654e699dbc8b8c11.pdf"], "doi": []}, {"id": "ee62cff7f027a31c3bd7f313bfdc04e7d79eb04a", "title": "Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhao_Spindle_Net_Person_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099586", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.103", "http://doi.org/10.1109/CVPR.2017.103"]}, {"id": "63e1ce7de0fdbce6e03d25b5001c670c30139aa8", "title": "Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07791.pdf"], "doi": []}, {"id": "008a4cf80dbd44fcee94ad93595f43da626c8a60", "title": "Computer Vision", "year": "2017", "pdf": ["http://csunplugged.mines.edu/Activities/CV/ComputerVisionSlides.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part06-segmentation2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part10-local-features1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part16-reconstruction3.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part03-image-processing2.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2012/lectures/ml12-part11-graphical_models1-6on1.pdf", "http://www.philadelphia.edu.jo/newlibrary/pdf/file0a6483e924ce44d8ba1a70853b1c3710.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part03-image-processing2.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part10-mixture_models2.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part12-neural-networks.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part08-recognition1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/advanced-machine-learning/ml2_16-part05-gaussian_processes2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part06-segmentation1.pdf"], "doi": ["https://doi.org/10.1007/978-981-10-7305-2"]}, {"id": "35e15c8aa2a3f017462a64b5ef940baf5993480f", "title": "Top-Push Video-Based Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.08683.pdf"], "doi": []}, {"id": "cfffe8b338cded442280c6435a9eb5f349f0a77c", "title": "A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354250"]}, {"id": "0b0c4641ed1b6d18a1f0789485484d97c1c8cccd", "title": "Re-ranking pedestrian re-identification with multiple Metrics", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6654-5"]}, {"id": "684c8acd49148020e9bf9c4f4aefc03708a6dac0", "title": "Video-Based Person Re-Identification With Accumulative Motion Context", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.00193.pdf"], "doi": []}, {"id": "140a587914d1e60f636c1a479c4673631ad78d04", "title": "Convolutional covariance features: Conception, integration and performance in person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.013"]}, {"id": "31c0968fb5f587918f1c49bf7fa51453b3e89cf7", "title": "Deep Transfer Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05244.pdf"], "doi": []}, {"id": "f3196b1bcd1af733347edc923d43018724fc73c9", "title": "Person re-identification using visual attention", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07336.pdf"], "doi": []}, {"id": "44fe6787f864812e666fbed8c18e18ad0eff190f", "title": "Long-Term Person Re-identification Using True Motion from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354164", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00060", "http://doi.org/10.1109/WACV.2018.00060"]}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "e3466e5ba37f33474eff37555ac274cf098621cc", "title": "Person Reidentification in a Distributed Camera Network Framework", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7479516", "http://doi.org/10.1109/TCYB.2016.2568264", "https://www.ncbi.nlm.nih.gov/pubmed/27249845", "https://www.wikidata.org/entity/Q50634998"]}, {"id": "afd29ac2de84c8a6d48232477be018ec57d6f564", "title": "Deep Metric Learning for Practical Person Re-Identification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4979.pdf"], "doi": []}, {"id": "391ad25a3c5c7c504d46bbd21cb13464dfe052e6", "title": "Deep Multi-View Correspondence for Identity-Aware Multi-Target Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227423", "http://doi.org/10.1109/DICTA.2017.8227423"]}, {"id": "83c19722450e8f7dcb89dabb38265f19efafba27", "title": "A framework with updateable joint images re-ranking for Person Re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02983.pdf"], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "149d0f12530a874093a478551e7f04c6641099d8", "title": "Person re-identification via hypergraph-based matching", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2015.12.029"]}, {"id": "6562c40932ea734f46e5068555fbf3a185a345de", "title": "Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.00409.pdf"], "doi": []}, {"id": "36358eff7c34de64c0ce8aa42cf7c4da24bf8e93", "title": "Deep Metric Learning for Person Re-identification", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Yi-ICPR-14.pdf", "https://pdfs.semanticscholar.org/3635/8eff7c34de64c0ce8aa42cf7c4da24bf8e93.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976727", "http://doi.org/10.1109/ICPR.2014.16"]}, {"id": "1ceb1c0fc4a9673da6c394ef729e02c9fb96a83a", "title": "Visual re-identification across large, distributed camera networks", "year": "2015", "pdf": ["http://vision.fe.uni-lj.si/docs/rokm/imavis_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.11.002"]}, {"id": "8de7ec0f751675d069cea98e93e54f69127ccc2a", "title": "Discriminative deep transfer metric learning for cross-scenario person re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6a27/ffd788a0db64fef74e673786763c82902a26.pdf"], "doi": []}, {"id": "900175d24928921600d09985211b6b9bfea44ce0", "title": "Person re-identification by pose priors", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9001/75d24928921600d09985211b6b9bfea44ce0.pdf"], "doi": []}, {"id": "3788a901df4c47d173a992a9622537301765e9cd", "title": "Improving triplet-wise training of convolutional neural network for vehicle re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019491", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019491", "http://doi.org/10.1109/ICME.2017.8019491"]}, {"id": "1da19761c5b36e3169e7c7e9d2b2c519b5276691", "title": "Person Re-Identification by Common-Near-Neighbor Analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1da1/9761c5b36e3169e7c7e9d2b2c519b5276691.pdf"], "doi": []}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "734516f9eec8ec70ef924806fbc6f8093e94a0e8", "title": "Recurrent Convolutional Network for Video-Based Person Re-identification", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "http://pure.qub.ac.uk/portal/files/27151912/PID4180443.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734119,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780517", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.148", "http://doi.org/10.1109/CVPR.2016.148"]}, {"id": "bb3d634c5c021de7c2ba10b073c63171f7610c6c", "title": "Multi-shot Pedestrian Re-identification via Sequential Decision Making", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578807"]}, {"id": "1550a1e5e303b49be0ad75ca9c8494c462382e74", "title": "Volume-based Human Re-identification with RGB-D Cameras", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1550/a1e5e303b49be0ad75ca9c8494c462382e74.pdf"], "doi": []}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "e1924a925cfcc3db29f8006b8eed83aad9721a24", "title": "Bidirectional sparse representations for multi-shot person re-identification", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738064", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738064", "http://doi.org/10.1109/AVSS.2016.7738064"]}, {"id": "25bfe2d9fc573c2250ec3d7b084a0d50db06004f", "title": "Deep discriminative network with inception module for person re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305028", "http://doi.org/10.1109/VCIP.2017.8305028"]}, {"id": "8298aa4a508a9586e5d54777b897eae64165a071", "title": "Person re-identification based on viewpoint correspondence pattern", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301461"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "8cd61bb3469aa253d4411ef2295b50683a031d17", "title": "Random Occlusion-recovery for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "6581c5b17db7006f4cc3575d04bfc6546854a785", "title": "Contextual Person Identification in Multimedia Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6581/c5b17db7006f4cc3575d04bfc6546854a785.pdf"], "doi": []}, {"id": "95300bce6b4554be7963620e87024449531987c5", "title": "Deep Features for Person Re-identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7429387", "http://doi.ieeecomputersociety.org/10.1109/SKG.2015.19", "http://doi.org/10.1109/SKG.2015.19"]}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "44c019a5e72707a1f4e06c224b530b05684fbb0a", "title": "Geometric Preserving Local Fisher Discriminant Analysis for person re-identification", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.05.003"]}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "068a7c7849cb6480def2e124ac5a45564e094b2a", "title": "Multi-Scale Learning for Low-Resolution Person Re-Identification", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Li_Multi-Scale_Learning_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Li_Multi-Scale_Learning_for_ICCV_2015_paper.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/19657/Gong%20Multi-scale%20learning%20for%20low-resolution%202015%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410786", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.429", "http://doi.org/10.1109/ICCV.2015.429"]}, {"id": "5a88b2b9c77ae830be0b014d4788420f6a748723", "title": "Part-based Feature Extraction for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3195112"]}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "title": "Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10984.pdf"], "doi": []}, {"id": "17092ce59ed56eb5fcbf467a889c7ec3e930f4c2", "title": "Mask-Guided Contrastive Attention Model for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578227"]}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "f1df5f74477658df45814743f2e605656e8ac16e", "title": "See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14514/1/%E8%AE%BA%E6%96%87%20See%20the%20Forest%20for%20the%20Trees%20Joint%20Spatial%20and%20Temporal%20Recurrent%20Neural%20Networks%20for%20Video-based%20Person%20Re-identfication.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_See_the_Forest_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100200", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.717", "http://doi.org/10.1109/CVPR.2017.717"]}, {"id": "61b0cfd75f5bce59cf79abb7b602e404fa5584e7", "title": "Person Re-Identification by Semantic Region Representation and Topology Constraint", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06280.pdf"], "doi": []}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "76fb9e2963928bf8e940944d45c13d52db947702", "title": "Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00478.pdf"], "doi": []}, {"id": "6ee1f57cbf7daa37576efca7e7d24040a5c94ee2", "title": "Aalborg Universitet Multimodal Neural Network for Overhead Person Re-identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6ee1/f57cbf7daa37576efca7e7d24040a5c94ee2.pdf"], "doi": []}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "b06b0086e84038abbe5088f3429603778f2b8fdf", "title": "Distributed Data Association in Smart Camera Networks via Dual Decomposition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1501.04754.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "d94b37958657aa703d8a3d02a66ee251b4c3f597", "title": "Learning deep features from body and parts for person re-identification in camera networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d94b/37958657aa703d8a3d02a66ee251b4c3f597.pdf"], "doi": []}, {"id": "bb4f83458976755e9310b241a689c8d21b481238", "title": "Improving Face Verification and Person Re-Identification Accuracy Using Hyperplane Similarity", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Jones_Improving_Face_Verification_ICCV_2017_paper.pdf", "http://www.merl.com/publications/docs/TR2017-155.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265393", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.183", "http://doi.org/10.1109/ICCVW.2017.183"]}, {"id": "abc8638968909ab0fdfbf1049009082df554a49e", "title": "Large-scale vehicle re-identification in urban surveillance videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7553002", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7553002", "http://doi.org/10.1109/ICME.2016.7553002"]}, {"id": "834ff8e06ed3f01c10958a276f1526fce7ffd387", "title": "Automatic Adaptation of Person Association for Multiview Tracking in Group Activities", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08717.pdf"], "doi": []}, {"id": "d0441970a9f19751e6c047b364f580c30bf9754a", "title": "Pose-Aware Person Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"], "doi": []}, {"id": "ff601ac3be7d90d64b57b83ad59ede15cd38a929", "title": "Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354181", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00077", "http://doi.org/10.1109/WACV.2018.00077"]}, {"id": "2d6130f043e69849fc0443bb489c5d21f933eddd", "title": "Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01609.pdf"], "doi": []}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "926e02d8d850cb2d08d49b9191ffbe7fa018b5f0", "title": "Service Orchestration of Optimizing Continuous Features in Industrial Surveillance Using Big Data Based Fog-Enabled Internet of Things", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8278202", "http://doi.org/10.1109/ACCESS.2018.2800758"]}, {"id": "7a14a1d2a034bed7d3e8cb87eab2c92098ed1cb6", "title": "Implementing a Robust Explanatory Bias in a Person Re-identification Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575462"]}, {"id": "4b6eb9117c1b7833c8c6b95ecad427f8f994f023", "title": "Robust Depth-Based Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09474.pdf"], "doi": []}, {"id": "a94b832facb57ea37b18927b13d2dd4c5fa3a9ea", "title": "Domain transfer convolutional attribute embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09733.pdf"], "doi": []}, {"id": "36973330ae638571484e1f68aaf455e3e6f18ae9", "title": "Scale-Aware Fast R-CNN for Pedestrian Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.08160.pdf"], "doi": []}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "ee8e39c8d3d2b004fe51b40cf7f54549c2f635f3", "title": "A Map-Reduce Method for Training Autoencoders on Xeon Phi", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7363241", "http://doi.org/10.1109/CIT%2FIUCC%2FDASC%2FPICOM.2015.197", "https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.197"]}, {"id": "c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9", "title": "Ensemble Feature for Person Re-Identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05798.pdf"], "doi": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "35184b2891ca17a8b1e5fe45b319336d00a2a4c9", "title": "Video Person Re-Identification by Temporal Residual Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07918.pdf"], "doi": []}, {"id": "f31c9328b5b4678388c19a39064a8056313f7cf4", "title": "Two-Stream Multi-Rate Recurrent Neural Network for Video-Based Pedestrian Re-Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f31c/9328b5b4678388c19a39064a8056313f7cf4.pdf"], "doi": []}, {"id": "a6a5ee9cf956a08510269a674db6a4ef3aece36f", "title": "Multiple-shot person re-identification via fair set-collaboration metric learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.02.003"]}, {"id": "09da5ae17cf1bf382f69036a96ec953c18f676d4", "title": "Person Re-Identification using Deep Foreground Appearance Modelling", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/09da/5ae17cf1bf382f69036a96ec953c18f676d4.pdf"], "doi": []}, {"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237308"]}, {"id": "4e9f46a80ffaffa2dabde4fb48d6ac72398ef829", "title": "Deep Hybrid Similarity Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04858.pdf"], "doi": []}, {"id": "61470aaccabd195a361112d38d80d3779498f784", "title": "Stepwise Metric Promotion for Unsupervised Video Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Stepwise_Metric_Promotion_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237528", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.266", "http://doi.org/10.1109/ICCV.2017.266"]}, {"id": "0adc3ad7c40c475d5878f9bdfeb3c8b59e482c17", "title": "Learning local embedding deep features for person re-identification in camera networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0adc/3ad7c40c475d5878f9bdfeb3c8b59e482c17.pdf"], "doi": []}, {"id": "32dc3e04dea2306ec34ca3f39db27a2b0a49e0a1", "title": "moM: Mean of Moments Feature for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w21/Gou_moM_Mean_of_ICCV_2017_paper.pdf", "http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/MengranGou_ICCVW17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265364", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.154", "http://doi.org/10.1109/ICCVW.2017.154"]}, {"id": "4cc675422395ed7dc7e4772280f7c57cac6fbaee", "title": "Efficient person re-identification by hybrid spatiogram and covariance descriptor", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W05/papers/Zeng_Efficient_Person_Re-Identification_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301296", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301296", "http://doi.org/10.1109/CVPRW.2015.7301296"]}, {"id": "7229bf0f7111c6a2856eea30c367ede3b3cc799f", "title": "Large-scale person re-identification as retrieval", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019485", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019485", "http://doi.org/10.1109/ICME.2017.8019485"]}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "092597b8e0f31be1671025cea1b9fd28a48e04bc", "title": "Supervised Person Re-ID based on Deep Hand-crafted and CNN Features", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0925/97b8e0f31be1671025cea1b9fd28a48e04bc.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "6097ea6fd21a5f86a10a52e6e4dd5b78a436d5bf", "title": "Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05300.pdf"], "doi": []}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "1bf01e83fba634bab085ec5f0ab86a1a67da8577", "title": "An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1502.03532.pdf"], "doi": []}, {"id": "38b78d785ebcb57027db4abb5d64a31efad34d57", "title": "Security Event Recognition for Visual Surveillance", "year": "2017", "pdf": ["https://arxiv.org/pdf/1810.11348.pdf"], "doi": []}, {"id": "12919f98aecdd74c1e0db56cba13d107553e421b", "title": "Temporal Model Adaptation for Person Re-Identification : Supplementary Material", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1291/9f98aecdd74c1e0db56cba13d107553e421b.pdf"], "doi": []}, {"id": "50cbe0eb6ff6fac20629e86056d8d2e7d991ce52", "title": "Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Learning_View-Invariant_Features_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237573", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.311", "http://doi.org/10.1109/ICCV.2017.311"]}, {"id": "78c84c76c3f651e13d1d2c804f54f6c6c0096468", "title": "Person Following by Autonomous Robots: A Categorical Overview", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08202.pdf"], "doi": []}, {"id": "a0303a4d37e8264028808661050c4443b6b880de", "title": "Robust Video Object Tracking in Distributed Camera Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a030/3a4d37e8264028808661050c4443b6b880de.pdf"], "doi": []}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "b37538f9364252eec4182bdbb80ef1e4614c3acd", "title": "Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification", "year": "2017", "pdf": [], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "4893ce89df7afde71534af9b9fd5becb947f112e", "title": "Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11375.pdf"], "doi": []}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"], "doi": []}, {"id": "1c1e4415f0acf5d536c9579117d326471f0b678b", "title": "Temporal Model Adaptation for Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07216.pdf"], "doi": []}, {"id": "1e83e2abcb258cd62b160e3f31a490a6bc042e83", "title": "Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02492.pdf"], "doi": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "d497543834f23f72f4092252b613bf3adaefc606", "title": "Density-Adaptive Kernel based Re-Ranking for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07698.pdf"], "doi": []}, {"id": "31ab7bb7a1f84553f3a9bc975131f4ec95caaf61", "title": "Closed and Open-World Person Re-Identification and Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227416", "http://doi.org/10.1109/DICTA.2017.8227416"]}, {"id": "05ffc37ed1289c9dbd01f1cd96d5a5ae908b12cb", "title": "Multi-source Deep Learning for Human Pose Estimation", "year": "2014", "pdf": ["http://visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ouyang_Multi-source_Deep_Learning_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangCWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909696", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.299", "http://doi.org/10.1109/CVPR.2014.299"]}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "5645f567d83bacf318c9b8c4adb5e508b713e466", "title": "Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": [], "doi": []}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "e0027a30bef2d84d33eb3d0d62d9ca4806a53230", "title": "A Two Stream Siamese Convolutional Neural Network for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Chung_A_Two_Stream_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.218", "http://doi.org/10.1109/ICCV.2017.218"]}, {"id": "fbec9ce3d6aedaedbbf8ff6c3781d8d8b5e39960", "title": "Person Re-identification Using Group Context", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/34cd/99528d873e842083abec429457233fdb3226.pdf"], "doi": []}, {"id": "5386c181d0b294d54123f001678d1125ca7b76dd", "title": "Multi-pseudo Regularized Label for Generated Samples in Person Re-Identification", "year": "2018", "pdf": [], "doi": []}, {"id": "ad3be20fe0106d80c567def71fef01146564df4b", "title": "Learning Deep Disentangled Embeddings With the F-Statistic Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05312.pdf"], "doi": []}, {"id": "2102915d0c51cfda4d85133bd593ecb9508fa4bb", "title": "Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.03153.pdf"], "doi": []}, {"id": "f355e54ca94a2d8bbc598e06e414a876eb62ef99", "title": "A survey on heterogeneous face recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1409.5114.pdf"], "doi": []}, {"id": "e6b534d8838f92461a478a3e737b73e08db94748", "title": "Appearance-and-Relation Networks for Video Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578253"]}, {"id": "399a5f7500648462fd8cf1704dfaeaea9d560e7e", "title": "Spoof Detection for Finger-Vein Recognition System Using NIR Camera", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/399a/5f7500648462fd8cf1704dfaeaea9d560e7e.pdf"], "doi": []}, {"id": "8961677300a9ee30ca51e1a3cf9815b4a162265b", "title": "Deep Representation Learning with Part Loss for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00798.pdf"], "doi": []}, {"id": "6008ac8efbea0f9cfddfabbfa02f62f742685028", "title": "An equalised global graphical model-based approach for multi-camera object tracking", "year": "2015", "pdf": [], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "2eef20a11324686099ee6f9b1a7613444b0d2112", "title": "Dual-Path Convolutional Image-Text Embedding with Instance Loss", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05535.pdf"], "doi": []}, {"id": "437664a3bc539486f185a39e58d312b9dfbf393c", "title": "Cloud-based video analytics using convolutional neural networks: Cloud-based Video Analytics System", "year": "2018", "pdf": ["http://derby.openrepository.com/derby/bitstream/10545/623037/1/cloud-based-video_Final.pdf"], "doi": ["https://doi.org/10.1002/spe.2636"]}, {"id": "d950af49c44bc5d9f4a5cc1634e606004790b1e5", "title": "Divide and Fuse: A Re-ranking Approach for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04169.pdf"], "doi": []}, {"id": "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "title": "Multi-type attributes driven multi-camera person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.005"]}, {"id": "384908bfad5b9e81d605344abcb9e99d8b0f4027", "title": "Improving Deep Models of Person Re-identification for Cross-Dataset Usage", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08526.pdf"], "doi": []}, {"id": "9501db000474dbd182579d311dfb1b1ab8fa871f", "title": "Supplementary of Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9501/db000474dbd182579d311dfb1b1ab8fa871f.pdf"], "doi": []}, {"id": "0cb54b1d796bd24694b7a4fa1a35088d5c6bc313", "title": "An Online and Flexible Multi-object Tracking Framework Using Long Short-Term Memory", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w21/Wan_An_Online_and_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575325", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00169", "http://doi.org/10.1109/CVPRW.2018.00169"]}, {"id": "0a058caa89d195930224148d3d2897c0c08fc668", "title": "Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10591.pdf"], "doi": []}, {"id": "f741cba061655581f6fbb628613d0669c4bdecd5", "title": "Deep Cosine Metric Learning for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354191"]}, {"id": "989d7ee9b43a528f99f33a9f92d16ced735019d1", "title": "Identity Alignment by Noisy Pixel Removal", "year": "2017", "pdf": [], "doi": []}, {"id": "53b4bfeb851b60d470788d8153db26f4312cd755", "title": "Multimodal Neural Network for Overhead Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8053514"]}, {"id": "a14260cd8c607afc6a9bd0c4df2ee22162e6d8c0", "title": "Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a142/60cd8c607afc6a9bd0c4df2ee22162e6d8c0.pdf"], "doi": []}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "01381e2faeb26489ae9c24c84c42df33901cfe61", "title": "Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05165.pdf"], "doi": []}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "9812542cae5a470ea601e7c3a871331694105093", "title": "Person Re-identification by Deep Learning Attribute-Complementary Information", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014920", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.186", "http://doi.org/10.1109/CVPRW.2017.186"]}, {"id": "6ce6da7a6b2d55fac604d986595ba6979580393b", "title": "Cross Domain Knowledge Transfer for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06026.pdf"], "doi": []}, {"id": "d2b86b6dc93631990e21a12278e77f002fb4b116", "title": "Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b8/6b6dc93631990e21a12278e77f002fb4b116.pdf"], "doi": []}, {"id": "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "title": "Human-In-The-Loop Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01345.pdf"], "doi": []}, {"id": "b76d6f49f97bfff0f49efbd3b50115ee4ff249d2", "title": "Co-Metric Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b76d/6f49f97bfff0f49efbd3b50115ee4ff249d2.pdf"], "doi": []}, {"id": "5bcff482bd9652420f8f6b0e6e58ab59a562046e", "title": "Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.04535.pdf"], "doi": []}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "9a9830c6edca29ca91f7bbc2683eb9ce43136469", "title": "Deep Multi-View Learning with Stochastic Decorrelation Loss", "year": "2017", "pdf": [], "doi": []}, {"id": "1a2b5b52e4b378a4b8b6f5adfc4a8d5d161ab012", "title": "A Prior-Less Method for Multi-face Tracking in Unconstrained Videos", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/3502-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_A_Prior-Less_Method_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578161", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00063", "http://doi.org/10.1109/CVPR.2018.00063"]}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "38010ef51f34353d79d032991b703c1d158a9a16", "title": "A survey of image data indexing techniques", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10462-018-9673-8"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "4e12080616da4b540c8f79db2dd1b654cd8345ce", "title": "Pose-Driven Deep Models for Person Re-Identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "c5482c2080ed780094091b9535865c4c4e5a2984", "title": "An improved deep feature learning method for person re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322817"]}, {"id": "e7df0b3c8befa4263971d1b645545ebecdacec06", "title": "Disentangled Person Image Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578116"]}, {"id": "218603147709344d4ff66625d83603deee2854bf", "title": "Learning Deep Embeddings with Histogram Loss", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00822.pdf"], "doi": []}, {"id": "b76f0271893b93ed28c32d32a5a7200f2db95ddc", "title": "Person Re-identification Using Two-Stage Convolutional Neural Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545498"]}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "d9bebdefa5135b214b9f2178c2b875b43ce6c08b", "title": "Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations", "year": "2018", "pdf": ["http://www.scitepress.org/Papers/2018/66229/66229.pdf", "https://hal.archives-ouvertes.fr/hal-01625470/file/chen_visapp2018.pdf"], "doi": ["https://doi.org/10.5220/0006622901140122"]}, {"id": "88e68073a175b8dfc15d7cb9c8a1baa3ebc119c9", "title": "A Hybrid Path Loss Prediction Model based on Artificial Neural Networks using Empirical Models for LTE And LTE-A at 800 MHz and 2600 MHz", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/88e6/8073a175b8dfc15d7cb9c8a1baa3ebc119c9.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "95be490aef44da67ca1cef76b16df14b6e40c421", "title": "Learning Cross-View Binary Identities for Fast Person Re-Identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/95be/490aef44da67ca1cef76b16df14b6e40c421.pdf"], "doi": []}, {"id": "9199c2b8cdad80735651a6a8bb9115c83acae650", "title": "Deep partial person re-identification via attention model", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296918", "http://doi.org/10.1109/ICIP.2017.8296918"]}]}
\ No newline at end of file +{"id": "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "citations": [{"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "d8a3dbeb3e262d873d5c01c2d9af7302fbc86fcb", "title": "Hessian Regularized Distance Metric Learning for People Re-Identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-019-10000-4"]}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "25bb4212af72d64ec20cac533f58f7af1472e057", "title": "Person Re-Identification by Camera Correlation Aware Feature Augmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.08837.pdf"], "doi": []}, {"id": "02e43d9ca736802d72824892c864e8cfde13718e", "title": "Transferring a semantic representation for person re-identification and search", "year": "2015", "pdf": ["https://arxiv.org/pdf/1706.03725.pdf"], "doi": []}, {"id": "b3c375f2113eb891682b94d49a8a557f18d3ad1e", "title": "Person Orientation and Feature Distances Boost Re-identification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977503", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2014.790", "http://doi.org/10.1109/ICPR.2014.790"]}, {"id": "7c1f47ca50a8a55f93bf69791d9df2f994019758", "title": "Re-identification and semantic retrieval of pedestrians in video surveillance scenarios", "year": "2016", "pdf": ["http://veprints.unica.it/1295/1/PhD_ThesisPalaF.pdf"], "doi": ["https://www.base-search.net/Record/ccb1ca569ce2ea9f085d6b881e6460aba3aa6f76044859d2948b4eb9f7dda817"]}, {"id": "b5790f1bc586a77ff2cbea002b7ad2646e32af6b", "title": "Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Garcia_Person_Re-Identification_Ranking_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Garcia_Person_Re-Identification_Ranking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410511", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.154", "http://doi.org/10.1109/ICCV.2015.154"]}, {"id": "3e159084e12ece3664a17bf4dd0eed8c5f06a33f", "title": "Deep Neural Networks with Inexact Matching for Person Re-Identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e15/9084e12ece3664a17bf4dd0eed8c5f06a33f.pdf"], "doi": []}, {"id": "cf682939be6828d1a70161618024e02af660d1bb", "title": "Structured learning of metric ensembles with application to person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.08531.pdf"], "doi": []}, {"id": "1a3bd11734742234ed8b12bf6221f2569b2a59db", "title": "Bagging based metric learning for person re-identification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890259", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890259", "http://doi.org/10.1109/ICME.2014.6890259"]}, {"id": "59a76bab968ac4cd740eb376ce9a26f6c1b103e4", "title": "People Re-Identification with Local Distance Comparison Using Learned Metric", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/59a7/6bab968ac4cd740eb376ce9a26f6c1b103e4.pdf"], "doi": []}, {"id": "4953dc81247efe5a1c28c79fd1d4ab69bbb9f21c", "title": "Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04179.pdf"], "doi": []}, {"id": "1898cc980300b5646116ee68d54957da439a7236", "title": "Classification of Local Eigen-Dissimilarities for Person Re-Identification", "year": "2015", "pdf": ["http://users.dimi.uniud.it/~niki.martinel/data/publications/2015/SPL/MarMicSPL2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919267", "http://doi.org/10.1109/LSP.2014.2362573"]}, {"id": "b2efa9a9d996b396317e94d26add673bbf804bca", "title": "RGB-Infrared Cross-Modality Person Re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237837"]}, {"id": "a7fe834a0af614ce6b50dc093132b031dd9a856b", "title": "Orientation Driven Bag of Appearances for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02464.pdf"], "doi": []}, {"id": "1de96fa00e498b425a34a85b7fb491431d00a41c", "title": "Appearance features in Encoding Color Space for visual surveillance", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2018.04.019"]}, {"id": "135fe2a0a0e6b726e5d81299edad4b3ce39d6614", "title": "Multichannel-Kernel Canonical Correlation Analysis for Cross-View Person Reidentification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.02204.pdf"], "doi": []}, {"id": "b39caa8b3f8d2da981285a0115a61a66b5f50b93", "title": "Towards Open-World Person Re-Identification by One-Shot Group-Based Verification", "year": "2016", "pdf": ["http://isee.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Person_VeriReId-preprint.pdf", "https://www.computer.org/csdl/trans/tp/2016/03/07398274.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7152932", "http://doi.org/10.1109/TPAMI.2015.2453984", "https://www.ncbi.nlm.nih.gov/pubmed/27046499", "https://www.wikidata.org/entity/Q35980118"]}, {"id": "50245be68e70e8447610d6fb304bf1c49cf2feda", "title": "Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237375"]}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "d6a9ea9b40a7377c91c705f4c7f206a669a9eea2", "title": "Visual Representations for Fine-grained Categorization", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d6a9/ea9b40a7377c91c705f4c7f206a669a9eea2.pdf"], "doi": []}, {"id": "ef7191fd43d120b77d3d367f8a6e11ae38ca5212", "title": "Person reidentification by semisupervised dictionary rectification learning with retraining module", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/60d7/5d32d345c519fa5c0d8d6b6eb62e633a8d13.pdf"], "doi": []}, {"id": "2ac31bc7a4dd0256166208dcc8d5dfa99347117e", "title": "A Window-Based Classifier for Automatic Video-Based Reidentification", "year": "2016", "pdf": ["http://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2016/12/A-Window-Based-Classifier-for-Automatic-Video-Based-Reidentification.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7577884", "http://doi.org/10.1109/TSMC.2016.2609153"]}, {"id": "02f038ed453de0551813159284746126168f5e15", "title": "Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/02f0/38ed453de0551813159284746126168f5e15.pdf"], "doi": []}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "a23f55dacd3b2f3e61d6a30da49c307ed0102807", "title": "Unsupervised person re-identification via re-ranking enhanced sample-specific metric learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296914", "http://doi.org/10.1109/ICIP.2017.8296914"]}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "b07cf8eabdbc66df9cbc2bb93bedec1c8e5c41f0", "title": "Sparse tree structured representation for re-identification", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.003"]}, {"id": "9cf6d66a0b4e5a3347466a60caea411d67c4b5b7", "title": "Joint transfer component analysis and metric learning for person re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9cf6/d66a0b4e5a3347466a60caea411d67c4b5b7.pdf"], "doi": []}, {"id": "a0cc5f73a37723a6dd465924143f1cb4976d0169", "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578114"]}, {"id": "160ab0e879f4451fa4df88cd567508150894ba9d", "title": "Cross Dataset Person Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/160a/b0e879f4451fa4df88cd567508150894ba9d.pdf"], "doi": []}, {"id": "79c2d4a2f802b1df52096154484362aec06290e5", "title": "Person Re-Identification with a Body Orientation-Specific Convolutional Neural Network", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/17db/741725b9f8406f69b27a117e99bee1a9a323.pdf"], "doi": []}, {"id": "46638b810bf69023bca41db664b49bc935bcba3c", "title": "Unsupervised Salience Learning for Person Re-identification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d586.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhao_Unsupervised_Salience_Learning_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~rzhao/project/salience_cvpr13/zhaoOWcvpr13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619304", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.460", "http://doi.org/10.1109/CVPR.2013.460"]}, {"id": "61245ce4b3d8faf4721a27cd92337226bff82f74", "title": "Human re-identification in multi-camera systems", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7041916", "http://doi.ieeecomputersociety.org/10.1109/AIPR.2014.7041916", "http://doi.org/10.1109/AIPR.2014.7041916", "http://ecommons.udayton.edu/cgi/viewcontent.cgi?article=1460&context=stander_posters"]}, {"id": "7557e81c1189f0ef9643519e0664d60baed51721", "title": "Robust and Efficient Graph Correspondence Transfer for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06323.pdf"], "doi": []}, {"id": "2170636d5d31eb461618b5da10f4473c67e74e73", "title": "Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780518", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.149", "http://doi.org/10.1109/CVPR.2016.149"]}, {"id": "2880826d86a57cd15a73872ad6339baf5b100a9e", "title": "On deeply learning features for automatic person image re-identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2880/826d86a57cd15a73872ad6339baf5b100a9e.pdf"], "doi": []}, {"id": "6ce99d07c3673a8fc43bc659bb659df753bc3fdd", "title": "Improved BOF Method for Person Re-Identification", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820507", "http://doi.ieeecomputersociety.org/10.1109/CIS.2016.0116", "http://doi.org/10.1109/CIS.2016.0116"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca", "title": "Person Re-identification in Identity Regression Space", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09695.pdf"], "doi": []}, {"id": "f10f6c294130c76981f0e584af5811c44636eda5", "title": "The Re-identification Challenge", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/109c/7a377a1160ff36874829e3d0a47e08d7ea5e.pdf"], "doi": []}, {"id": "fe54a5a10288648f3bd0a71b053cdb896716b552", "title": "Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04419.pdf"], "doi": []}, {"id": "83d58ac8221c3ccf33cb41ec9a8b3556e5ebb397", "title": "Feedback mechanism based iterative metric learning for person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.04.012"]}, {"id": "7ac25c5391251611696d16e677bd71040d80d583", "title": "Person Re-Identification by Saliency Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.1908.pdf"], "doi": []}, {"id": "0195bf2b913dbc527fb081674f480ecd8a799c34", "title": "Parametric Local Multi-modal Metric Learning for Person Re-identification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977158", "http://doi.org/10.1109/ICPR.2014.445"]}, {"id": "4c822705edd305d04f2c02ac9b1b73421e857961", "title": "Towards fully automated person re-identification", "year": "2014", "pdf": ["http://welcome.isr.ist.utl.pt/img/pdfs/3074_2013_VISAPP_FullyAutomatedReIdentification.pdf", "http://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2015/05/3074_2013_VISAPP_FullyAutomatedReIdentification.pdf", "http://www.scitepress.org/Papers/2014/46823/46823.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295073", "http://doi.org/10.5220/0004682301400147"]}, {"id": "6313ecbdfee7d04cbf22755c4b53193f42467a92", "title": "Activity Prediction Based on Spatiotemporal Model in a Multiple Cameras Network", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153894", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2015.64", "http://doi.org/10.1109/BigMM.2015.64"]}, {"id": "ae936628e78db4edb8e66853f59433b8cc83594f", "title": "PRISM: Person Reidentification via Structured Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1406.4444.pdf"], "doi": []}, {"id": "c155d39ccff4571fa62f3d164c607544bfb3ed4c", "title": "Deep Global And Local Saliency Learning With New Re-Ranking For Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551509"]}, {"id": "1e21078efc0aa7a3881d0e87cb5dd5918523f525", "title": "Network Consistent Data Association", "year": "2016", "pdf": ["http://cs-people.bu.edu/dasabir/papers/NCDA_PAMI2016.pdf", "http://www.ece.ucr.edu/~amitrc/publications/Camera_Ready_Manuscript.pdf", "http://www.ece.ucr.edu/~amitrc/publications/NCDA.pdf", "http://www.ee.ucr.edu/~amitrc/publications/Camera_Ready_Manuscript.pdf", "https://cloudfront.escholarship.org/dist/prd/content/qt6cw6x0vr/qt6cw6x0vr.pdf?t=n9na8b"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299668", "http://doi.org/10.1109/TPAMI.2015.2491922", "https://www.ncbi.nlm.nih.gov/pubmed/26485472", "https://www.wikidata.org/entity/Q31008768"]}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf", "title": "Hierarchical Gaussian Descriptors with Application to Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04318.pdf"], "doi": []}, {"id": "1f5c409e9b6aec60003b5d4534373f9b07ff8443", "title": "Saliency Weighted Features for Person Re-identification", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/workshops/w19/08%20-%20Saliency%20Weighted%20Features%20for%20Person.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-16199-0_14"]}, {"id": "38feccdbb8d98e325cac41edfbfb3cab866fd968", "title": "Recurrent Models of Visual Co-Attention for Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598867"]}, {"id": "2c98300103c86401c979ec158a659fb07fd2a36e", "title": "Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation", "year": "2018", "pdf": ["http://crabwq.github.io/pdf/2018%20Bike-Person%20Re-Identification%20A%20Benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8476557", "http://doi.org/10.1109/ACCESS.2018.2872804"]}, {"id": "c5f4b605eb866000aedaf7377f6329be10b5920e", "title": "Optimizing Multi-Granularity Region Similarity for Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598715", "http://doi.org/10.1109/access.2018.2890664"]}, {"id": "2b50f8e4568ecd84e2f9d6357254272d8db4bbd4", "title": "Hierarchical Gaussian Descriptor for Person Re-identification", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Matsukawa_Hierarchical_Gaussian_Descriptor_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Matsukawa_Hierarchical_Gaussian_Descriptor_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780521", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.152", "http://doi.org/10.1109/CVPR.2016.152"]}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "f727b12c905ac585de60811048c9f9dd4188b498", "title": "R 4-A . 2 : Rapid Forensic Search & Retrieval in Video", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f727/b12c905ac585de60811048c9f9dd4188b498.pdf"], "doi": []}, {"id": "489decd84645b77d31001d17a66abb92bb96c731", "title": "Learning View-Specific Deep Networks for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11333.pdf"], "doi": []}, {"id": "fcb64ef4421cebb80eb33f62c7726f339eb2bb62", "title": "Deep View-Aware Metric Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fcb6/4ef4421cebb80eb33f62c7726f339eb2bb62.pdf"], "doi": []}, {"id": "0a2aca07c9e15de3d5924e156af9a8e1a67b4cab", "title": "Person Reidentification With Reference Descriptor", "year": "2016", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tcsvt2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7067434", "http://doi.org/10.1109/TCSVT.2015.2416561"]}, {"id": "70ab6dacf948624998d61e3476d0604c9ea2d349", "title": "A pool of multiple person re-identification experts", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.022"]}, {"id": "ae299fad29ba650fbf1e14c7c95ba8ae32e095f0", "title": "Person Re-Identification by Robust Canonical Correlation Analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006657", "http://doi.org/10.1109/LSP.2015.2390222"]}, {"id": "1b3505018e39a794eab032e7e313784b21be42e9", "title": "Saliency based Person Re-Identification in Video using Colour Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1b35/05018e39a794eab032e7e313784b21be42e9.pdf"], "doi": []}, {"id": "6b21214562e3cdb3b7b9027f0f88918f6ee24c52", "title": "GDMN: Group Decision-Making Network for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8506353"]}, {"id": "3da3630061a1b70ceb843711629eb320085cc9ee", "title": "Adaptive Metric Learning in Local Distance Comparison for People Re-identification", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778309", "http://doi.org/10.1109/ACPR.2013.86"]}, {"id": "6a167375410115d83be377de1f9714929f301b00", "title": "End-to-End Correspondence and Relationship Learning of Mid-Level Deep Features for Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227426", "http://doi.org/10.1109/DICTA.2017.8227426"]}, {"id": "8ae80fab47049968f8f3ff07fffeca9665ae1f52", "title": "Efficient and Deep Person Re-identification Using Multi-level Similarity", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578346"]}, {"id": "f05d2e412e6758510f1a6c8321fd0042ce0e6151", "title": "Deep feature learning for person re-identification in a large-scale crowdsourced environment", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11227-017-2221-5"]}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"id": "c7cda3ae7c301080d0f062b11452e12c0272f8cf", "title": "Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8263222", "http://doi.org/10.1109/ACCESS.2018.2795020"]}, {"id": "8d8afef13a8f6195d3b874231e5e767cf62f3c50", "title": "Deep Ranking for Person Re-Identification via Joint Representation Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.06821.pdf"], "doi": []}, {"id": "64a6c30ca95e85427c56acb4c1c20f62c6ec0709", "title": "PersonNet: Person Re-identification with Deep Convolutional Neural Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07255.pdf"], "doi": []}, {"id": "c0153b92a59fe0cb6405c888dd536d44d34a92fb", "title": "Enhancing Detection Model for Multiple Hypothesis Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w34/papers/Chen_Enhancing_Detection_Model_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015000", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.266", "http://doi.org/10.1109/CVPRW.2017.266"]}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468189", "http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "21e880907053301b621d318a4b81dbe1b51c3aad", "title": "A Novel Visual Word Co-occurrence Model for Person Re-identification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.6532.pdf"], "doi": []}, {"id": "a57e735f3582365dea89a202bdbcc43e53af6ad4", "title": "Enhancing person re-identification by late fusion of low-, mid- and high-level features", "year": "2017", "pdf": ["http://vbn.aau.dk/files/264634343/re_id.pdf"], "doi": ["https://doi.org/10.1049/iet-bmt.2016.0200"]}, {"id": "05a6a40c840c069631a825509f3095697592e1c4", "title": "IAN: The Individual Aggregation Network for Person Search", "year": "2019", "pdf": ["https://arxiv.org/pdf/1705.05552.pdf"], "doi": []}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "71529e3e51f2967e338124652e93a3d34eb6c5e1", "title": "Deep triplet-group network by exploiting symmetric and asymmetric information for person reidentification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7152/9e3e51f2967e338124652e93a3d34eb6c5e1.pdf"], "doi": []}, {"id": "5a603ab4b6353fc244361930c28723b3bc091f4b", "title": "Deep Feature Learning with Relative Distance Comparison for Person Re-identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.03622.pdf"], "doi": []}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "eca9b9dd665556423278b85f79e1d589009a7ea7", "title": "Person Re-Identi fi cation by Robust Canonical Correlation Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/eca9/b9dd665556423278b85f79e1d589009a7ea7.pdf"], "doi": []}, {"id": "7bb929b8ff2f83de91318865232819be8b13fbe5", "title": "Discriminant Context Information Analysis for Post-Ranking Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815412", "http://doi.org/10.1109/TIP.2017.2652725", "https://www.ncbi.nlm.nih.gov/pubmed/28092558", "https://www.wikidata.org/entity/Q39018259"]}, {"id": "2c3b31284e8ed00a473338be011570967cc15958", "title": "Re-Identification in the Function Space of Feature Warps", "year": "2015", "pdf": ["http://cs-people.bu.edu/dasabir/papers/PAMI14-Reid.pdf", "http://cs-people.bu.edu/dasabir/papers/Supplementary-PAMI2014-Reid.pdf", "http://www.ece.ucr.edu/~amitrc/publications/PAMI14-Reid.pdf", "http://www.ee.ucr.edu/~adas/cv_rs/CurrentResDescription_Long.pdf", "http://www.ee.ucr.edu/~amitrc/publications/PAMI14-Reid.pdf", "http://www.ee.ucr.edu/~amitrc/publications/Supplementary-PAMI2014-Reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975169", "http://doi.org/10.1109/TPAMI.2014.2377748", "https://www.ncbi.nlm.nih.gov/pubmed/26353002", "https://www.wikidata.org/entity/Q50857562"]}, {"id": "230527d37421c28b7387c54e203deda64564e1b7", "title": "Person Re-identification: System Design and Evaluation Overview", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2305/27d37421c28b7387c54e203deda64564e1b7.pdf"], "doi": []}, {"id": "9836ebbef8ba972af323e20ba7667e2d03105895", "title": "A Neuromorphic Person Re-Identification Framework for Video Surveillance", "year": "2017", "pdf": ["http://dspace.nitrkl.ac.in/dspace/bitstream/2080/2759/1/IEEEAccess_V5_6471-6482_ANanda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885600", "http://doi.org/10.1109/ACCESS.2017.2686438"]}, {"id": "3f45d73a7b8d10a59a68688c11950e003f4852fc", "title": "Person re-identification by Local Maximal Occurrence representation and metric learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1406.4216.pdf"], "doi": []}, {"id": "1f6dd0ff2e8493b81e3699b520193198d4eed4e6", "title": "Shaogang Gong Part I Features and Representations 1 Discriminative Image Descriptors for Person Re-identification . . . . . 25 7 One-shot Person Re-identification with a Consumer Depth Camera . 163 List of Contributors the Re-identification Challenge", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f6d/d0ff2e8493b81e3699b520193198d4eed4e6.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "37b207d2c4a82a57f80e96353f79ecd71320a854", "title": "Person Search with Natural Language Description", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05729.pdf"], "doi": []}, {"id": "7c37f8213a33a07076ece47660ad681cb1b58d08", "title": "Adaptive Metric Learning for People Re-Identification", "year": "2014", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E97.D/11/E97.D_2013EDP7451/_pdf/-char/en"], "doi": ["https://doi.org/10.1587/transinf.2013EDP7451", "http://search.ieice.org/bin/summary.php?id=e97-d_11_2888"]}, {"id": "61ab9bf00e444d12816886da0d68b833c47c152e", "title": "A coarse-to-fine deep learning for person re-identification", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477677", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477677", "http://doi.org/10.1109/WACV.2016.7477677"]}, {"id": "3005a4afddab849d9070788ac0e4e95e0fff2216", "title": "Transfer Metric Learning: Algorithms, Applications and Outlooks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03944.pdf"], "doi": []}, {"id": "1459d4d16088379c3748322ab0835f50300d9a38", "title": "Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.04039.pdf"], "doi": []}, {"id": "99d3bc6d62675297693e5e57ff0770e7017f9637", "title": "Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.09150.pdf"], "doi": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "07f5c01b1e272fca1fc575ab84ac1710cbe58518", "title": "A Deep Structure of Person Re-Identification Using Multi-Level Gaussian Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07720.pdf"], "doi": []}, {"id": "56c5d08103c5bf4b263a81da73135455136bbe6d", "title": "Kernel MBPLS for a Scalable and Multi-Camera Person Re-Identification System", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/56c5/d08103c5bf4b263a81da73135455136bbe6d.pdf"], "doi": []}, {"id": "81eecb00eeadb5fe36cd840b687439bfdca7ff30", "title": "Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning", "year": "2015", "pdf": ["http://users.dimi.uniud.it/~christian.micheloni/papers/journals/MarMicForTIP2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7289409", "http://doi.org/10.1109/TIP.2015.2487048", "https://www.ncbi.nlm.nih.gov/pubmed/26452280", "https://www.wikidata.org/entity/Q40448201"]}, {"id": "9ff961417d02f94d3e8a2accc591edd6f79cc21c", "title": "Asymmetric Projection and Dictionary Learning With Listwise and Identity Consistency Constraints for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8410867", "http://doi.org/10.1109/ACCESS.2018.2853259"]}, {"id": "fef7fb6f3e239c346cd144960e27875889fdd650", "title": "One-Shot Metric Learning for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Bak_One-Shot_Metric_Learning_CVPR_2017_paper.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170713092653/One-Shot-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099654", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.171", "http://doi.org/10.1109/CVPR.2017.171"]}, {"id": "f34fdcaba3ab1c2533a00b10d83263af5d488e8d", "title": "Multi-Pose Learning based Head-Shoulder Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397013", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00057", "http://doi.org/10.1109/MIPR.2018.00057"]}, {"id": "63ac85ec1bff6009bb36f0b24ef189438836bc91", "title": "Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.01595.pdf"], "doi": []}, {"id": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.pdf"], "doi": []}, {"id": "6c518aabdbba2c073eab6a3bb4120023851e524c", "title": "Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c51/8aabdbba2c073eab6a3bb4120023851e524c.pdf"], "doi": []}, {"id": "f27ac0f3a0c69571cb7d707d39bac2c5bd9c43a4", "title": "Modeling Unknown Class Centers for Metric Learning on Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8419228", "http://doi.org/10.1109/ACCESS.2018.2857210"]}, {"id": "a473ad49f4570c2008d6738e9e83a6a393237f57", "title": "EV-Matching: Bridging Large Visual Data and Electronic Data for Efficient Surveillance", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7980012", "http://doi.ieeecomputersociety.org/10.1109/ICDCS.2017.89", "http://doi.org/10.1109/ICDCS.2017.89"]}, {"id": "441e7df66fe6052a6b770c3aeca4acd8dea98643", "title": "PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.06011.pdf"], "doi": []}, {"id": "16e577820999e584c787ec611f55746cf9147518", "title": "Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs", "year": "2015", "pdf": ["http://www.cs.jhu.edu/~andyjhma/DAPRIDfinal.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7018030", "http://doi.org/10.1109/TIP.2015.2395715", "https://www.ncbi.nlm.nih.gov/pubmed/25622315", "https://www.wikidata.org/entity/Q41524881"]}, {"id": "7191676f46478c0e8cf3030bae42524ce38353a7", "title": "Multi-view Hybrid Embedding: A Divide-and-Conquer Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07237.pdf"], "doi": []}, {"id": "d1e8a08aafc64661206c495e963e0b244dfe59cd", "title": "R 4-A . 1 : Dynamics-Based Video Analytics", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aa42/0d32c48a3fd526a91285673cd55ca9fe2447.pdf"], "doi": []}, {"id": "be49690e496fbe399a31994570ec4e2146bdc370", "title": "Exploiting Cross Domain Relationships for Target Recognition", "year": "2015", "pdf": [], "doi": []}, {"id": "f8ebba8188c9f6b1688ba7ba76f297215e6cc7c7", "title": "Triplet-Based Deep Similarity Learning for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.03254.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "0a6a173a1d1d36285bae97f98f4b901067d40097", "title": "Similarity learning on an explicit polynomial kernel feature map for person re-identification", "year": "2015", "pdf": ["http://research.microsoft.com/en-us/um/people/jingdw/pubs/CVPR15-PersonReID.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_050.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_050_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298764", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298764", "http://doi.org/10.1109/CVPR.2015.7298764"]}, {"id": "5cd2b28b9e88b2be0b8c9d9ddce8440656477d1c", "title": "Person Re-Identification with Deep Features and Transfer Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8005887", "http://doi.ieeecomputersociety.org/10.1109/CSE-EUC.2017.136", "http://doi.org/10.1109/CSE-EUC.2017.136"]}, {"id": "850d2697fec9c2bb434907db1c0a11e200f32dbe", "title": "Improving Person Re-identification by Body Parts Segmentation Generated by GAN", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489450", "http://doi.org/10.1109/IJCNN.2018.8489450"]}, {"id": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"], "doi": []}, {"id": "33ec945e6a4ae7fe0268ffe142098ea9caf6588f", "title": "Deep Person Re-Identification with Improved Embedding", "year": "2017", "pdf": [], "doi": []}, {"id": "e989a827fa3b00941410364cd3507e4779bffb69", "title": "Person re-identification by the asymmetric triplet and identification loss function", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5182-z"]}, {"id": "d75640108db01f7e0706780e6356a0c82c7eaf29", "title": "Multiple-Shot People Re-Identification by Patch-Wise Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d756/40108db01f7e0706780e6356a0c82c7eaf29.pdf"], "doi": []}, {"id": "f68ed499e9d41f9c3d16d843db75dc12833d988d", "title": "Multi-view Common Component Discriminant Analysis for Cross-view Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05029.pdf"], "doi": []}, {"id": "be21529c47b79b688b420c5e296086698ba11350", "title": "CNN-Based Multimodal Human Recognition in Surveillance Environments", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/be21/529c47b79b688b420c5e296086698ba11350.pdf"], "doi": []}, {"id": "c91406fea53e869e431dc9a799b989321a66c9da", "title": "Point to Set Similarity Based Deep Feature Learning for Person Re-Identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Point_to_Set_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100017", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.534", "http://doi.org/10.1109/CVPR.2017.534"]}, {"id": "a9351c53346be32b7d6e0e80a93f2e383fe85eae", "title": "Relevance Metric Learning for Person Re-identification by Exploiting Global Similarities", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977003", "http://doi.org/10.1109/ICPR.2014.292"]}, {"id": "514273063cebe911f0b628d012e9553129181996", "title": "Distributed Implementation for Person Re-Identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7288501"]}, {"id": "246fa412f26d5bf5b151a7c3f5287141bd08ae0b", "title": "Deep Metric Learning for the Target Cost in Unit-Selection Speech Synthesizer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/246f/a412f26d5bf5b151a7c3f5287141bd08ae0b.pdf"], "doi": []}, {"id": "487668cc36443a67378f253afe05a550eda2c4f1", "title": "Continuous adaptation of multi-camera person identification models through sparse non-redundant representative selection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.00417.pdf"], "doi": []}, {"id": "edd4b6d99367a69865377109f5f8bcf872f0ba45", "title": "Versatile loitering detection based on non-verbal cues using dense trajectory descriptors", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6618-9"]}, {"id": "c2776c5ae1aa8d640ad96f06a2c82707fe70a850", "title": "DeNet: An explicit distance ensemble model for person re-identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486458", "http://doi.org/10.1109/ACPR.2015.7486458"]}, {"id": "78b046f79754d61afb985f100f98b83399cb2b63", "title": "Efficient object-based surveillance image search using spatial pooling of convolutional features", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2017.02.010", "https://www.wikidata.org/entity/Q57581691"]}, {"id": "107010b7f2abe3c0c9df62bcef35eb77f6fc76df", "title": "Domain-adversarial training of neural networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.07818.pdf"], "doi": []}, {"id": "83335a287533fa24efdfad928db8fd8888ec4ef4", "title": "Person re-identification employing 3D scene information", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.24.5.051007"]}, {"id": "fd0e1fecf7e72318a4c53463fd5650720df40281", "title": "End-to-End Comparative Attention Networks for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04404.pdf"], "doi": []}, {"id": "15e6e1551ce9a4094c57db70985e420e57c6997a", "title": "Asymmetric cross-view dictionary learning for person re-identification", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001228.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952352", "http://doi.org/10.1109/ICASSP.2017.7952352"]}, {"id": "16f1a35d0149482d6b2b67df58b21b68622e6b9c", "title": "Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics", "year": "2016", "pdf": ["http://ijcai.org/Proceedings/16/Papers/501.pdf", "https://www.ijcai.org/Proceedings/16/Papers/501.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424182", "http://doi.org/10.1109/TIP.2018.2861366", "http://www.ijcai.org/Abstract/16/501", "https://www.ncbi.nlm.nih.gov/pubmed/30072322"]}, {"id": "7b2e0c87aece7ff1404ef2034d4c5674770301b2", "title": "Discriminative Feature Learning with Foreground Attention for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01455.pdf"], "doi": []}, {"id": "bf4780c028ba42bceb222bde11450672138602f5", "title": "Person re-identification based on CCN feature representations learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107776", "http://doi.org/10.1109/ICMLC.2017.8107776"]}, {"id": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"], "doi": []}, {"id": "2ec9a7729d6bddeadd1ba073dd27696aa1a20174", "title": "Region Constraint Person Re-Identification via Partial Least Square on Riemannian Manifold", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8306111", "http://doi.org/10.1109/ACCESS.2018.2808602"]}, {"id": "13e3a68dd49b2098c2cad2acc799953abdcaa3ee", "title": "Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1135-x"]}, {"id": "cb8567f074573a0d66d50e75b5a91df283ccd503", "title": "Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.05512.pdf"], "doi": []}, {"id": "b82a4a0457170258aaf622b81e6f739a220398eb", "title": "Probe Strongly Similar Neutral Strongly Dissimilar Quasi-similar Quasi-dissimilar Push Pull", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b82a/4a0457170258aaf622b81e6f739a220398eb.pdf"], "doi": []}, {"id": "123286df95d93600f4281c60a60c69121c6440c7", "title": "Deep Self-Paced Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.05711.pdf"], "doi": []}, {"id": "50f3209d022d1ac185237425a3ad682d2234c1ca", "title": "Boosting Fisher vector based scoring functions for person re-identification", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.008"]}, {"id": "3f95710d17556d5064bda289dea5adbce2777a59", "title": "Eliminating Background-bias for Robust Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578705"]}, {"id": "2c4dd7d5ec500f180cc8301d96389a81d3a99c65", "title": "Integrated Global-Local Metric Learning for Person Re-identification", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926655.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926655", "http://doi.org/10.1109/WACV.2017.72"]}, {"id": "b5c3df6e0e3b25411151d92d431908adceca1a23", "title": "Person Re-Identification by Pose Invariant Deep Metric Learning With Improved Triplet Loss", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8522036", "http://doi.org/10.1109/ACCESS.2018.2879490"]}, {"id": "f7a7b1dc7a4a7adb5e0d612b2dc86aa32ce80ca2", "title": "RPIfield: A New Dataset for Temporally Evaluating Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575417"]}, {"id": "5bb24d1250df62a56cab1445f1d8c5c61269b785", "title": "Measuring the Temporal Behavior of Real-World Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05499.pdf"], "doi": []}, {"id": "d5c86768c067df0732187040c21f23fe2183e597", "title": "Appearance-based person re-identification by intra-camera discriminative models and rank aggregation", "year": "2015", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2015_ICB_Prates.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139077", "http://doi.org/10.1109/ICB.2015.7139077"]}, {"id": "58888b30e9123c1b1709be1efa92898e090d7bd2", "title": "Person Re-Identification by Discriminative Selection in Video Ranking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06260.pdf"], "doi": []}, {"id": "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "title": "Human tracking over camera networks: a review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/39df/6ca15f41e5a674ed8cd1654e699dbc8b8c11.pdf"], "doi": []}, {"id": "ee62cff7f027a31c3bd7f313bfdc04e7d79eb04a", "title": "Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhao_Spindle_Net_Person_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099586", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.103", "http://doi.org/10.1109/CVPR.2017.103"]}, {"id": "63e1ce7de0fdbce6e03d25b5001c670c30139aa8", "title": "Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07791.pdf"], "doi": []}, {"id": "008a4cf80dbd44fcee94ad93595f43da626c8a60", "title": "Computer Vision", "year": "2017", "pdf": ["http://csunplugged.mines.edu/Activities/CV/ComputerVisionSlides.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part06-segmentation2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part10-local-features1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part16-reconstruction3.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part03-image-processing2.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2012/lectures/ml12-part11-graphical_models1-6on1.pdf", "http://www.philadelphia.edu.jo/newlibrary/pdf/file0a6483e924ce44d8ba1a70853b1c3710.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part03-image-processing2.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part10-mixture_models2.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part12-neural-networks.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part08-recognition1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/advanced-machine-learning/ml2_16-part05-gaussian_processes2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part06-segmentation1.pdf"], "doi": ["https://doi.org/10.1007/978-981-10-7305-2"]}, {"id": "35e15c8aa2a3f017462a64b5ef940baf5993480f", "title": "Top-Push Video-Based Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.08683.pdf"], "doi": []}, {"id": "cfffe8b338cded442280c6435a9eb5f349f0a77c", "title": "A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354250"]}, {"id": "0b0c4641ed1b6d18a1f0789485484d97c1c8cccd", "title": "Re-ranking pedestrian re-identification with multiple Metrics", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6654-5"]}, {"id": "684c8acd49148020e9bf9c4f4aefc03708a6dac0", "title": "Video-Based Person Re-Identification With Accumulative Motion Context", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.00193.pdf"], "doi": []}, {"id": "140a587914d1e60f636c1a479c4673631ad78d04", "title": "Convolutional covariance features: Conception, integration and performance in person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.013"]}, {"id": "31c0968fb5f587918f1c49bf7fa51453b3e89cf7", "title": "Deep Transfer Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05244.pdf"], "doi": []}, {"id": "f3196b1bcd1af733347edc923d43018724fc73c9", "title": "Person re-identification using visual attention", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07336.pdf"], "doi": []}, {"id": "44fe6787f864812e666fbed8c18e18ad0eff190f", "title": "Long-Term Person Re-identification Using True Motion from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354164", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00060", "http://doi.org/10.1109/WACV.2018.00060"]}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "e3466e5ba37f33474eff37555ac274cf098621cc", "title": "Person Reidentification in a Distributed Camera Network Framework", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7479516", "http://doi.org/10.1109/TCYB.2016.2568264", "https://www.ncbi.nlm.nih.gov/pubmed/27249845", "https://www.wikidata.org/entity/Q50634998"]}, {"id": "afd29ac2de84c8a6d48232477be018ec57d6f564", "title": "Deep Metric Learning for Practical Person Re-Identification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4979.pdf"], "doi": []}, {"id": "391ad25a3c5c7c504d46bbd21cb13464dfe052e6", "title": "Deep Multi-View Correspondence for Identity-Aware Multi-Target Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227423", "http://doi.org/10.1109/DICTA.2017.8227423"]}, {"id": "83c19722450e8f7dcb89dabb38265f19efafba27", "title": "A framework with updateable joint images re-ranking for Person Re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02983.pdf"], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "149d0f12530a874093a478551e7f04c6641099d8", "title": "Person re-identification via hypergraph-based matching", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2015.12.029"]}, {"id": "6562c40932ea734f46e5068555fbf3a185a345de", "title": "Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.00409.pdf"], "doi": []}, {"id": "36358eff7c34de64c0ce8aa42cf7c4da24bf8e93", "title": "Deep Metric Learning for Person Re-identification", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Yi-ICPR-14.pdf", "https://pdfs.semanticscholar.org/3635/8eff7c34de64c0ce8aa42cf7c4da24bf8e93.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976727", "http://doi.org/10.1109/ICPR.2014.16"]}, {"id": "1ceb1c0fc4a9673da6c394ef729e02c9fb96a83a", "title": "Visual re-identification across large, distributed camera networks", "year": "2015", "pdf": ["http://vision.fe.uni-lj.si/docs/rokm/imavis_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.11.002"]}, {"id": "8de7ec0f751675d069cea98e93e54f69127ccc2a", "title": "Discriminative deep transfer metric learning for cross-scenario person re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6a27/ffd788a0db64fef74e673786763c82902a26.pdf"], "doi": []}, {"id": "900175d24928921600d09985211b6b9bfea44ce0", "title": "Person re-identification by pose priors", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9001/75d24928921600d09985211b6b9bfea44ce0.pdf"], "doi": []}, {"id": "3788a901df4c47d173a992a9622537301765e9cd", "title": "Improving triplet-wise training of convolutional neural network for vehicle re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019491", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019491", "http://doi.org/10.1109/ICME.2017.8019491"]}, {"id": "1da19761c5b36e3169e7c7e9d2b2c519b5276691", "title": "Person Re-Identification by Common-Near-Neighbor Analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1da1/9761c5b36e3169e7c7e9d2b2c519b5276691.pdf"], "doi": []}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "734516f9eec8ec70ef924806fbc6f8093e94a0e8", "title": "Recurrent Convolutional Network for Video-Based Person Re-identification", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "http://pure.qub.ac.uk/portal/files/27151912/PID4180443.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734119,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780517", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.148", "http://doi.org/10.1109/CVPR.2016.148"]}, {"id": "bb3d634c5c021de7c2ba10b073c63171f7610c6c", "title": "Multi-shot Pedestrian Re-identification via Sequential Decision Making", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578807"]}, {"id": "1550a1e5e303b49be0ad75ca9c8494c462382e74", "title": "Volume-based Human Re-identification with RGB-D Cameras", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1550/a1e5e303b49be0ad75ca9c8494c462382e74.pdf"], "doi": []}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "e1924a925cfcc3db29f8006b8eed83aad9721a24", "title": "Bidirectional sparse representations for multi-shot person re-identification", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738064", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738064", "http://doi.org/10.1109/AVSS.2016.7738064"]}, {"id": "25bfe2d9fc573c2250ec3d7b084a0d50db06004f", "title": "Deep discriminative network with inception module for person re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305028", "http://doi.org/10.1109/VCIP.2017.8305028"]}, {"id": "8298aa4a508a9586e5d54777b897eae64165a071", "title": "Person re-identification based on viewpoint correspondence pattern", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301461"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "8cd61bb3469aa253d4411ef2295b50683a031d17", "title": "Random Occlusion-recovery for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "6581c5b17db7006f4cc3575d04bfc6546854a785", "title": "Contextual Person Identification in Multimedia Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6581/c5b17db7006f4cc3575d04bfc6546854a785.pdf"], "doi": []}, {"id": "95300bce6b4554be7963620e87024449531987c5", "title": "Deep Features for Person Re-identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7429387", "http://doi.ieeecomputersociety.org/10.1109/SKG.2015.19", "http://doi.org/10.1109/SKG.2015.19"]}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "44c019a5e72707a1f4e06c224b530b05684fbb0a", "title": "Geometric Preserving Local Fisher Discriminant Analysis for person re-identification", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.05.003"]}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "068a7c7849cb6480def2e124ac5a45564e094b2a", "title": "Multi-Scale Learning for Low-Resolution Person Re-Identification", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Li_Multi-Scale_Learning_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Li_Multi-Scale_Learning_for_ICCV_2015_paper.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/19657/Gong%20Multi-scale%20learning%20for%20low-resolution%202015%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410786", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.429", "http://doi.org/10.1109/ICCV.2015.429"]}, {"id": "5a88b2b9c77ae830be0b014d4788420f6a748723", "title": "Part-based Feature Extraction for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3195112"]}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "title": "Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10984.pdf"], "doi": []}, {"id": "17092ce59ed56eb5fcbf467a889c7ec3e930f4c2", "title": "Mask-Guided Contrastive Attention Model for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578227"]}, {"id": "f1df5f74477658df45814743f2e605656e8ac16e", "title": "See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14514/1/%E8%AE%BA%E6%96%87%20See%20the%20Forest%20for%20the%20Trees%20Joint%20Spatial%20and%20Temporal%20Recurrent%20Neural%20Networks%20for%20Video-based%20Person%20Re-identfication.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_See_the_Forest_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100200", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.717", "http://doi.org/10.1109/CVPR.2017.717"]}, {"id": "61b0cfd75f5bce59cf79abb7b602e404fa5584e7", "title": "Person Re-Identification by Semantic Region Representation and Topology Constraint", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06280.pdf"], "doi": []}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "76fb9e2963928bf8e940944d45c13d52db947702", "title": "Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00478.pdf"], "doi": []}, {"id": "6ee1f57cbf7daa37576efca7e7d24040a5c94ee2", "title": "Aalborg Universitet Multimodal Neural Network for Overhead Person Re-identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6ee1/f57cbf7daa37576efca7e7d24040a5c94ee2.pdf"], "doi": []}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "b06b0086e84038abbe5088f3429603778f2b8fdf", "title": "Distributed Data Association in Smart Camera Networks via Dual Decomposition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1501.04754.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "d94b37958657aa703d8a3d02a66ee251b4c3f597", "title": "Learning deep features from body and parts for person re-identification in camera networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d94b/37958657aa703d8a3d02a66ee251b4c3f597.pdf"], "doi": []}, {"id": "bb4f83458976755e9310b241a689c8d21b481238", "title": "Improving Face Verification and Person Re-Identification Accuracy Using Hyperplane Similarity", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Jones_Improving_Face_Verification_ICCV_2017_paper.pdf", "http://www.merl.com/publications/docs/TR2017-155.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265393", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.183", "http://doi.org/10.1109/ICCVW.2017.183"]}, {"id": "abc8638968909ab0fdfbf1049009082df554a49e", "title": "Large-scale vehicle re-identification in urban surveillance videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7553002", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7553002", "http://doi.org/10.1109/ICME.2016.7553002"]}, {"id": "834ff8e06ed3f01c10958a276f1526fce7ffd387", "title": "Automatic Adaptation of Person Association for Multiview Tracking in Group Activities", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08717.pdf"], "doi": []}, {"id": "d0441970a9f19751e6c047b364f580c30bf9754a", "title": "Pose-Aware Person Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"], "doi": []}, {"id": "ff601ac3be7d90d64b57b83ad59ede15cd38a929", "title": "Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354181", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00077", "http://doi.org/10.1109/WACV.2018.00077"]}, {"id": "2d6130f043e69849fc0443bb489c5d21f933eddd", "title": "Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01609.pdf"], "doi": []}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "926e02d8d850cb2d08d49b9191ffbe7fa018b5f0", "title": "Service Orchestration of Optimizing Continuous Features in Industrial Surveillance Using Big Data Based Fog-Enabled Internet of Things", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8278202", "http://doi.org/10.1109/ACCESS.2018.2800758"]}, {"id": "7a14a1d2a034bed7d3e8cb87eab2c92098ed1cb6", "title": "Implementing a Robust Explanatory Bias in a Person Re-identification Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575462"]}, {"id": "4b6eb9117c1b7833c8c6b95ecad427f8f994f023", "title": "Robust Depth-Based Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09474.pdf"], "doi": []}, {"id": "a94b832facb57ea37b18927b13d2dd4c5fa3a9ea", "title": "Domain transfer convolutional attribute embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09733.pdf"], "doi": []}, {"id": "36973330ae638571484e1f68aaf455e3e6f18ae9", "title": "Scale-Aware Fast R-CNN for Pedestrian Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.08160.pdf"], "doi": []}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "ee8e39c8d3d2b004fe51b40cf7f54549c2f635f3", "title": "A Map-Reduce Method for Training Autoencoders on Xeon Phi", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7363241", "http://doi.org/10.1109/CIT%2FIUCC%2FDASC%2FPICOM.2015.197", "https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.197"]}, {"id": "c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9", "title": "Ensemble Feature for Person Re-Identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05798.pdf"], "doi": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "35184b2891ca17a8b1e5fe45b319336d00a2a4c9", "title": "Video Person Re-Identification by Temporal Residual Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07918.pdf"], "doi": []}, {"id": "f31c9328b5b4678388c19a39064a8056313f7cf4", "title": "Two-Stream Multi-Rate Recurrent Neural Network for Video-Based Pedestrian Re-Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f31c/9328b5b4678388c19a39064a8056313f7cf4.pdf"], "doi": []}, {"id": "a6a5ee9cf956a08510269a674db6a4ef3aece36f", "title": "Multiple-shot person re-identification via fair set-collaboration metric learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.02.003"]}, {"id": "09da5ae17cf1bf382f69036a96ec953c18f676d4", "title": "Person Re-Identification using Deep Foreground Appearance Modelling", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/09da/5ae17cf1bf382f69036a96ec953c18f676d4.pdf"], "doi": []}, {"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237308"]}, {"id": "4e9f46a80ffaffa2dabde4fb48d6ac72398ef829", "title": "Deep Hybrid Similarity Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04858.pdf"], "doi": []}, {"id": "61470aaccabd195a361112d38d80d3779498f784", "title": "Stepwise Metric Promotion for Unsupervised Video Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Stepwise_Metric_Promotion_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237528", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.266", "http://doi.org/10.1109/ICCV.2017.266"]}, {"id": "0adc3ad7c40c475d5878f9bdfeb3c8b59e482c17", "title": "Learning local embedding deep features for person re-identification in camera networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0adc/3ad7c40c475d5878f9bdfeb3c8b59e482c17.pdf"], "doi": []}, {"id": "32dc3e04dea2306ec34ca3f39db27a2b0a49e0a1", "title": "moM: Mean of Moments Feature for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w21/Gou_moM_Mean_of_ICCV_2017_paper.pdf", "http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/MengranGou_ICCVW17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265364", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.154", "http://doi.org/10.1109/ICCVW.2017.154"]}, {"id": "4cc675422395ed7dc7e4772280f7c57cac6fbaee", "title": "Efficient person re-identification by hybrid spatiogram and covariance descriptor", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W05/papers/Zeng_Efficient_Person_Re-Identification_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301296", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301296", "http://doi.org/10.1109/CVPRW.2015.7301296"]}, {"id": "7229bf0f7111c6a2856eea30c367ede3b3cc799f", "title": "Large-scale person re-identification as retrieval", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019485", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019485", "http://doi.org/10.1109/ICME.2017.8019485"]}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "092597b8e0f31be1671025cea1b9fd28a48e04bc", "title": "Supervised Person Re-ID based on Deep Hand-crafted and CNN Features", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0925/97b8e0f31be1671025cea1b9fd28a48e04bc.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "6097ea6fd21a5f86a10a52e6e4dd5b78a436d5bf", "title": "Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05300.pdf"], "doi": []}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "1bf01e83fba634bab085ec5f0ab86a1a67da8577", "title": "An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1502.03532.pdf"], "doi": []}, {"id": "38b78d785ebcb57027db4abb5d64a31efad34d57", "title": "Security Event Recognition for Visual Surveillance", "year": "2017", "pdf": ["https://arxiv.org/pdf/1810.11348.pdf"], "doi": []}, {"id": "12919f98aecdd74c1e0db56cba13d107553e421b", "title": "Temporal Model Adaptation for Person Re-Identification : Supplementary Material", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1291/9f98aecdd74c1e0db56cba13d107553e421b.pdf"], "doi": []}, {"id": "50cbe0eb6ff6fac20629e86056d8d2e7d991ce52", "title": "Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Learning_View-Invariant_Features_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237573", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.311", "http://doi.org/10.1109/ICCV.2017.311"]}, {"id": "78c84c76c3f651e13d1d2c804f54f6c6c0096468", "title": "Person Following by Autonomous Robots: A Categorical Overview", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08202.pdf"], "doi": []}, {"id": "a0303a4d37e8264028808661050c4443b6b880de", "title": "Robust Video Object Tracking in Distributed Camera Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a030/3a4d37e8264028808661050c4443b6b880de.pdf"], "doi": []}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "b37538f9364252eec4182bdbb80ef1e4614c3acd", "title": "Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification", "year": "2017", "pdf": [], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "4893ce89df7afde71534af9b9fd5becb947f112e", "title": "Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11375.pdf"], "doi": []}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"], "doi": []}, {"id": "1c1e4415f0acf5d536c9579117d326471f0b678b", "title": "Temporal Model Adaptation for Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07216.pdf"], "doi": []}, {"id": "1e83e2abcb258cd62b160e3f31a490a6bc042e83", "title": "Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02492.pdf"], "doi": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "d497543834f23f72f4092252b613bf3adaefc606", "title": "Density-Adaptive Kernel based Re-Ranking for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07698.pdf"], "doi": []}, {"id": "31ab7bb7a1f84553f3a9bc975131f4ec95caaf61", "title": "Closed and Open-World Person Re-Identification and Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227416", "http://doi.org/10.1109/DICTA.2017.8227416"]}, {"id": "05ffc37ed1289c9dbd01f1cd96d5a5ae908b12cb", "title": "Multi-source Deep Learning for Human Pose Estimation", "year": "2014", "pdf": ["http://visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ouyang_Multi-source_Deep_Learning_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangCWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909696", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.299", "http://doi.org/10.1109/CVPR.2014.299"]}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "5645f567d83bacf318c9b8c4adb5e508b713e466", "title": "Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": [], "doi": []}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "e0027a30bef2d84d33eb3d0d62d9ca4806a53230", "title": "A Two Stream Siamese Convolutional Neural Network for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Chung_A_Two_Stream_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.218", "http://doi.org/10.1109/ICCV.2017.218"]}, {"id": "fbec9ce3d6aedaedbbf8ff6c3781d8d8b5e39960", "title": "Person Re-identification Using Group Context", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/34cd/99528d873e842083abec429457233fdb3226.pdf"], "doi": []}, {"id": "5386c181d0b294d54123f001678d1125ca7b76dd", "title": "Multi-pseudo Regularized Label for Generated Samples in Person Re-Identification", "year": "2018", "pdf": [], "doi": []}, {"id": "ad3be20fe0106d80c567def71fef01146564df4b", "title": "Learning Deep Disentangled Embeddings With the F-Statistic Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05312.pdf"], "doi": []}, {"id": "2102915d0c51cfda4d85133bd593ecb9508fa4bb", "title": "Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.03153.pdf"], "doi": []}, {"id": "f355e54ca94a2d8bbc598e06e414a876eb62ef99", "title": "A survey on heterogeneous face recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1409.5114.pdf"], "doi": []}, {"id": "e6b534d8838f92461a478a3e737b73e08db94748", "title": "Appearance-and-Relation Networks for Video Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578253"]}, {"id": "399a5f7500648462fd8cf1704dfaeaea9d560e7e", "title": "Spoof Detection for Finger-Vein Recognition System Using NIR Camera", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/399a/5f7500648462fd8cf1704dfaeaea9d560e7e.pdf"], "doi": []}, {"id": "8961677300a9ee30ca51e1a3cf9815b4a162265b", "title": "Deep Representation Learning with Part Loss for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00798.pdf"], "doi": []}, {"id": "6008ac8efbea0f9cfddfabbfa02f62f742685028", "title": "An equalised global graphical model-based approach for multi-camera object tracking", "year": "2015", "pdf": [], "doi": []}, {"id": "2eef20a11324686099ee6f9b1a7613444b0d2112", "title": "Dual-Path Convolutional Image-Text Embedding with Instance Loss", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05535.pdf"], "doi": []}, {"id": "437664a3bc539486f185a39e58d312b9dfbf393c", "title": "Cloud-based video analytics using convolutional neural networks: Cloud-based Video Analytics System", "year": "2018", "pdf": ["http://derby.openrepository.com/derby/bitstream/10545/623037/1/cloud-based-video_Final.pdf"], "doi": ["https://doi.org/10.1002/spe.2636"]}, {"id": "d950af49c44bc5d9f4a5cc1634e606004790b1e5", "title": "Divide and Fuse: A Re-ranking Approach for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04169.pdf"], "doi": []}, {"id": "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "title": "Multi-type attributes driven multi-camera person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.005"]}, {"id": "384908bfad5b9e81d605344abcb9e99d8b0f4027", "title": "Improving Deep Models of Person Re-identification for Cross-Dataset Usage", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08526.pdf"], "doi": []}, {"id": "9501db000474dbd182579d311dfb1b1ab8fa871f", "title": "Supplementary of Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9501/db000474dbd182579d311dfb1b1ab8fa871f.pdf"], "doi": []}, {"id": "0cb54b1d796bd24694b7a4fa1a35088d5c6bc313", "title": "An Online and Flexible Multi-object Tracking Framework Using Long Short-Term Memory", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w21/Wan_An_Online_and_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575325", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00169", "http://doi.org/10.1109/CVPRW.2018.00169"]}, {"id": "0a058caa89d195930224148d3d2897c0c08fc668", "title": "Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10591.pdf"], "doi": []}, {"id": "f741cba061655581f6fbb628613d0669c4bdecd5", "title": "Deep Cosine Metric Learning for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354191"]}, {"id": "989d7ee9b43a528f99f33a9f92d16ced735019d1", "title": "Identity Alignment by Noisy Pixel Removal", "year": "2017", "pdf": [], "doi": []}, {"id": "53b4bfeb851b60d470788d8153db26f4312cd755", "title": "Multimodal Neural Network for Overhead Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8053514"]}, {"id": "a14260cd8c607afc6a9bd0c4df2ee22162e6d8c0", "title": "Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a142/60cd8c607afc6a9bd0c4df2ee22162e6d8c0.pdf"], "doi": []}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "01381e2faeb26489ae9c24c84c42df33901cfe61", "title": "Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05165.pdf"], "doi": []}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "9812542cae5a470ea601e7c3a871331694105093", "title": "Person Re-identification by Deep Learning Attribute-Complementary Information", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014920", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.186", "http://doi.org/10.1109/CVPRW.2017.186"]}, {"id": "6ce6da7a6b2d55fac604d986595ba6979580393b", "title": "Cross Domain Knowledge Transfer for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06026.pdf"], "doi": []}, {"id": "d2b86b6dc93631990e21a12278e77f002fb4b116", "title": "Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b8/6b6dc93631990e21a12278e77f002fb4b116.pdf"], "doi": []}, {"id": "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "title": "Human-In-The-Loop Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01345.pdf"], "doi": []}, {"id": "b76d6f49f97bfff0f49efbd3b50115ee4ff249d2", "title": "Co-Metric Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b76d/6f49f97bfff0f49efbd3b50115ee4ff249d2.pdf"], "doi": []}, {"id": "5bcff482bd9652420f8f6b0e6e58ab59a562046e", "title": "Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.04535.pdf"], "doi": []}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "9a9830c6edca29ca91f7bbc2683eb9ce43136469", "title": "Deep Multi-View Learning with Stochastic Decorrelation Loss", "year": "2017", "pdf": [], "doi": []}, {"id": "1a2b5b52e4b378a4b8b6f5adfc4a8d5d161ab012", "title": "A Prior-Less Method for Multi-face Tracking in Unconstrained Videos", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/3502-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_A_Prior-Less_Method_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578161", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00063", "http://doi.org/10.1109/CVPR.2018.00063"]}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "38010ef51f34353d79d032991b703c1d158a9a16", "title": "A survey of image data indexing techniques", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10462-018-9673-8"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "4e12080616da4b540c8f79db2dd1b654cd8345ce", "title": "Pose-Driven Deep Models for Person Re-Identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "c5482c2080ed780094091b9535865c4c4e5a2984", "title": "An improved deep feature learning method for person re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322817"]}, {"id": "e7df0b3c8befa4263971d1b645545ebecdacec06", "title": "Disentangled Person Image Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578116"]}, {"id": "218603147709344d4ff66625d83603deee2854bf", "title": "Learning Deep Embeddings with Histogram Loss", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00822.pdf"], "doi": []}, {"id": "b76f0271893b93ed28c32d32a5a7200f2db95ddc", "title": "Person Re-identification Using Two-Stage Convolutional Neural Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545498"]}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "d9bebdefa5135b214b9f2178c2b875b43ce6c08b", "title": "Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations", "year": "2018", "pdf": ["http://www.scitepress.org/Papers/2018/66229/66229.pdf", "https://hal.archives-ouvertes.fr/hal-01625470/file/chen_visapp2018.pdf"], "doi": ["https://doi.org/10.5220/0006622901140122"]}, {"id": "88e68073a175b8dfc15d7cb9c8a1baa3ebc119c9", "title": "A Hybrid Path Loss Prediction Model based on Artificial Neural Networks using Empirical Models for LTE And LTE-A at 800 MHz and 2600 MHz", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/88e6/8073a175b8dfc15d7cb9c8a1baa3ebc119c9.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "95be490aef44da67ca1cef76b16df14b6e40c421", "title": "Learning Cross-View Binary Identities for Fast Person Re-Identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/95be/490aef44da67ca1cef76b16df14b6e40c421.pdf"], "doi": []}, {"id": "9199c2b8cdad80735651a6a8bb9115c83acae650", "title": "Deep partial person re-identification via attention model", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296918", "http://doi.org/10.1109/ICIP.2017.8296918"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/cuhk_train_station.json b/site/datasets/unknown/cuhk_train_station.json index 9b24f85d..b98d3a47 100644 --- a/site/datasets/unknown/cuhk_train_station.json +++ b/site/datasets/unknown/cuhk_train_station.json @@ -1 +1 @@ -{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "citations": [{"id": "6655aebc1ba3e0fada0a05069e84548deee50e7e", "title": "Advances and trends in visual crowd analysis: A systematic survey and evaluation of crowd modelling techniques", "year": "2016", "pdf": ["http://home.isr.uc.pt/~jorge/wp-content/uploads/85.pdf", "http://home.isr.uc.pt/~jorge/wp-content/uploads/93.pdf", "http://home.isr.uc.pt/~jorge/wp-content/uploads/95.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2015.12.070", "https://www.wikidata.org/entity/Q57981030"]}, {"id": "8b2c9743de156189bf927a158f21e08412ff0de0", "title": "Convolutional DLSTM for Crowd Scene Understanding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241582", "http://doi.ieeecomputersociety.org/10.1109/ISM.2017.19", "http://doi.org/10.1109/ISM.2017.19"]}, {"id": "655b1f83ef218ee6a030b5541d2865bc6599e6d9", "title": "Analyzing Tracklets for the Detection of Abnormal Crowd Behavior", "year": "2015", "pdf": ["https://www.researchgate.net/profile/Hossein_Mousavi6/publication/278673112_Analyzing_Tracklets_for_the_Detection_of_Abnormal_Crowd_Behavior/links/558295f708ae6cf036c18d0f.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045881", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.27", "http://doi.org/10.1109/WACV.2015.27"]}, {"id": "a1b4c98907c0c08671e69ebaaca6315000d5099c", "title": "Evidential event inference in transport video surveillance", "year": "2016", "pdf": ["http://www.cs.qub.ac.uk/~W.Liu/CVIU16.pdf", "http://www.cs.qub.ac.uk/~W.Liu/CVIU2016.pdf", "https://pure.qub.ac.uk/portal/files/17941842/revision_CVIU_14_695.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.10.017"]}, {"id": "46b7727ffcb4dc9fc7838e59c84461a2b903038d", "title": "Detecting and indexing moving objects for behavior analysis by video and audio interpretation. (La d\u00e9tection et l'indexation des objets en mouvement pour l'analyse du comportement par vid\u00e9o et audio interpr\u00e9tation)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/46b7/727ffcb4dc9fc7838e59c84461a2b903038d.pdf"], "doi": []}, {"id": "90c4c8bafe50500312350e73d93eda6e63196832", "title": "Deep trajectory representation-based clustering for motion pattern extraction in videos", "year": "2017", "pdf": ["http://tahirnawaz.com/papers/2017_AVSS_DeepFeatureBasedTrajectoryClustering_Boyle_Nawaz_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078509", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078509", "http://doi.org/10.1109/AVSS.2017.8078509"]}, {"id": "31bac8e29c25d19c11303440834e59ca8ae5a45c", "title": "Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Encoding_Crowd_Interaction_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578651", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00553", "http://doi.org/10.1109/CVPR.2018.00553"]}, {"id": "2c0b355b8c25b3129bc3a41761e37200c8e5e055", "title": "Measuring Flow Complexity in Videos", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751246"]}, {"id": "5566f5c364a3e9322f814d67541de0271a6d1b59", "title": "Simulating Group Formations Using RVO", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5566/f5c364a3e9322f814d67541de0271a6d1b59.pdf"], "doi": []}, {"id": "01e214009e6c9dc7ee566fde4f089c5ddb739442", "title": "Learning and Inferring \u201cDark Matter\u201d and Predicting Human Intents and Trajectories in Videos", "year": "2018", "pdf": ["http://www.stat.ucla.edu/~sczhu/papers/PAMI_Dark_Matter.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7984896", "http://doi.org/10.1109/TPAMI.2017.2728788", "https://www.ncbi.nlm.nih.gov/pubmed/28727549", "https://www.wikidata.org/entity/Q50432216"]}, {"id": "347573e0b27a01748f8a6781dd84bb312aea5c53", "title": "Multi-Target Adaptive On-line Tracking based on WIHM", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3475/73e0b27a01748f8a6781dd84bb312aea5c53.pdf"], "doi": []}, {"id": "4fea55f4b75633edbbf7889592959fe74afed564", "title": "Anomaly detection in trajectories", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7496051"]}, {"id": "b94238a31edc961d78cc48292c58f8fc39dfa008", "title": "Analyzing crowd behavior in naturalistic conditions: Identifying sources and sinks and characterizing main flows", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2015.11.049"]}, {"id": "72b619c805c2eb830c7a728f3c97af124807f7f5", "title": "Real-Time People Counting System for Customer Movement Analysis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8478241"]}, {"id": "1e122a4f97da88faa0472aa2b0aa994779e910ef", "title": "Gate and Common Pathway Detection in Crowd Scenes Using Motion Units and Meta-Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227438"]}, {"id": "540cc9b479ed60065b1182a94c02b34c75d76823", "title": "Unsupervised Trajectory Modelling Using Temporal Information via Minimal Paths", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909723"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "542a2ddc53d80d58a8791ab1a72dad660035e114", "title": "A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01202.pdf"], "doi": []}, {"id": "bb827b7e998f3f7ee944424ad783523025b41abd", "title": "Support Vector Motion Clustering", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490350"]}, {"id": "90aa877941f70307b57e07c954c0ff1fe4d4b678", "title": "Long-range trajectories from global and local motion representations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.08647.pdf"], "doi": []}, {"id": "aaaead632a12b372a91ce2ca5810d98234a82a39", "title": "Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410849"]}, {"id": "abc81655428a91d1977907c96cedc3539949eb72", "title": "A velocity field approach to the detection of pedestrian interactions", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6608936"]}, {"id": "06686d25a6a7fecb201b428260636e2265f71238", "title": "Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv17_cd.pdf"], "doi": ["https://doi.org/10.1007/s11263-017-1005-y"]}, {"id": "6c4d15898e48a60a70969ef7f42d0b8aa3d0cb03", "title": "Predicting and recognizing human interactions in public spaces", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s11554-014-0428-8"]}, {"id": "08030f9d34cc96384f672d9f9f296914d594335b", "title": "Multiple Object Tracking: A Review", "year": "2014", "pdf": [], "doi": []}, {"id": "83b7578e2d9fa60d33d9336be334f6f2cc4f218f", "title": "The S-HOCK dataset: Analyzing crowds at the stadium", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_101.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_101_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1B_101_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Conigliaro_The_S-Hock_Dataset_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298815", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298815", "http://doi.org/10.1109/CVPR.2015.7298815"]}, {"id": "ab02c78c9cc4ab80da45def34f0cf2c1b54fd8ed", "title": "Multi-agent path topology in support of socially competent navigation planning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4c8/feb9891e2199ad8abd845b5c97aebbfd5b76.pdf"], "doi": []}, {"id": "1fe2ed65bf8605e286ee04d51863e4a7cf8a167a", "title": "Category-Blind Human Action Recognition: A Practical Recognition System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410862"]}, {"id": "be7f24d4b3360ee96f691327951a22e79b7068d9", "title": "Modeling crowds as single-minded entities", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7906029"]}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "a685a6d034e32f86cd97948ac27eadf98d127c7b", "title": "Aggressive, Tense or Shy? Identifying Personality Traits from Crowd Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4719/6c67d3fd073876eed8d6a412b9c808e55193.pdf"], "doi": []}, {"id": "9fa796a11bbcc50fd20796701a123177cbd59ca5", "title": "Crowd Scene Analysis Using Deep Learning Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8550851"]}, {"id": "8b86e6297fc9b4804fb2b78622ca1e7c8dc952c3", "title": "Scene-Independent Group Profiling in Crowd", "year": "2014", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2014_scene.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Shao_Scene-Independent_Group_Profiling_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~jshao/CUHKcrowd_files/ID860_present.pdf", "http://www.ee.cuhk.edu.hk/~jshao/papers_jshao/jshao_group_in_crowd_cvpr14.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/shaoCWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909682", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.285", "http://doi.org/10.1109/CVPR.2014.285"]}, {"id": "224ffad672f7e6c7995780eb9bd3c8a141cb25cd", "title": "Understanding pedestrian behaviors from stationary crowd groups", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_017.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_017_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_017_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Yi_Understanding_Pedestrian_Behaviors_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298971", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298971", "http://doi.org/10.1109/CVPR.2015.7298971"]}, {"id": "938dc97889fe5b00eab73b5a7a40b707c0cfa681", "title": "Sparse Representation for Crowd Attributes Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7934297"]}, {"id": "a3f67dbb0d72b236ff7c11b9d3611478d04b902e", "title": "Crowd Behavior Analysis: A Review where Physics meets Biology", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06586.pdf"], "doi": []}, {"id": "d5d5a5f565b007967583dc18fc60ff793518bd56", "title": "Measuring Crowd Collectiveness with Trajectory Smoothing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337520"]}, {"id": "7719db31b1555addab9dacfc7afe9f17cbabad8f", "title": "Learning from sequential data for anomaly detection", "year": "2014", "pdf": [], "doi": []}, {"id": "16d1e29b588fd26f5f0ac8038110f7b8500a1ec9", "title": "$L_0$ Regularized Stationary-Time Estimation for Crowd Analysis", "year": "2017", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/crowd_pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7463073", "http://doi.org/10.1109/TPAMI.2016.2560807", "https://www.ncbi.nlm.nih.gov/pubmed/28113539", "https://www.wikidata.org/entity/Q48000682"]}, {"id": "a8d525c513273b19dfb93ca969f664ba4baadebc", "title": "COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410729"]}, {"id": "d257a85d640e6e409f74a7074da078f343b9ec8f", "title": "ViTBAT: Video tracking and behavior annotation tool", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738055"]}, {"id": "4332314ac4ab56153f68a9e55e92b3659e93a5b4", "title": "Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents", "year": "2014", "pdf": ["http://people.csail.mit.edu/bzhou/project/cvpr2012/ijcv.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTWijcv14.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0735-3"]}, {"id": "c451df8fddcdb3ab95c0a8392c82c0799817f461", "title": "Video and image processing based techniques for people detection and counting in crowded environments", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c451/df8fddcdb3ab95c0a8392c82c0799817f461.pdf"], "doi": []}, {"id": "ca228b42de0f0311f4826292a2996d3348ca43fe", "title": "Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07827.pdf"], "doi": []}, {"id": "6b9a188848b7d482b308f6852860ca20124f0d1d", "title": "Emotion Estimation in Crowds: The Interplay of Motivations and Expectations in Individual Emotions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553370"]}, {"id": "3dffacda086689c1bcb01a8dad4557a4e92b8205", "title": "Multiple Object Tracking: A Literature Review", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7618.pdf"], "doi": []}, {"id": "1aded58a43338e651c00f2771d845b7a61b40190", "title": "Dynamic Trajectory Model for Analysis of Traffic States using DPMM", "year": "2018", "pdf": [], "doi": []}, {"id": "a959bb513ba066fe7852395c4cfe67d2d60a7493", "title": "Counting People Based on Linear, Weighted, and Local Random Forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227421"]}, {"id": "faf0fa6d706c088861288ad628f75ed09d924c85", "title": "Crowd Anomaly Detection Using Motion Based Spatio-Temporal Feature Analysis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/faf0/fa6d706c088861288ad628f75ed09d924c85.pdf"], "doi": []}, {"id": "0b6256f1d669e6d26075e648da219dc7408797d5", "title": "Crowd behavior understanding through SIOF feature analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082086"]}, {"id": "0ae07f24251946b2086fb992031c298ada2805de", "title": "Exemplar-AMMs: Recognizing Crowd Movements From Pedestrian Trajectories", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09454.pdf"], "doi": []}, {"id": "6282e59f5b40464df3cd66a8e7002b4645d4bd25", "title": "UNDERSTANDING EVENTS IN VIDEO", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6282/e59f5b40464df3cd66a8e7002b4645d4bd25.pdf"], "doi": []}, {"id": "4119d0364fd2c5b869888025ea94e8b65a2d5faf", "title": "Physics Inspired Methods for Crowd Video Surveillance and Analysis: A Survey", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8517154"]}, {"id": "0779875eff440365184dd8bf44e9f85f78267c5f", "title": "An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10398.pdf"], "doi": []}, {"id": "782bec7177abadf8b8fd31392edf2477caad8a15", "title": "Inferring \"Dark Matter\" and \"Dark Energy\" from Videos", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751387"]}, {"id": "4b04b2d5195cffa31a522cfded0f9c8aa3da2f23", "title": "Estimating the Real Positions of Objects in Images by Using Evolutionary Algorithm", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7878651"]}, {"id": "fcdc307dc43d8dfc77b15dd642ece0be4327bc54", "title": "A novel approach for people counting and tracking from crowd video", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001170"]}, {"id": "7a47ac0dda9e15e77d155c5ba425bbfcfad80d97", "title": "Crowded Pedestrian Detection and Density Estimation by Visual Words Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7a47/ac0dda9e15e77d155c5ba425bbfcfad80d97.pdf"], "doi": []}, {"id": "0e72248f06182700d743a5c4a8ebaea9237839a0", "title": "Modified balanced iterative reducing and clustering using hierarchies (m-BIRCH) for visual clustering", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s10044-015-0472-4"]}, {"id": "f4f2d93b3de67f08365e4d84067694d27f6030fd", "title": "Towards Fully Data-Driven Tracking of Pedestrians and Vehicles in Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f4f2/d93b3de67f08365e4d84067694d27f6030fd.pdf"], "doi": []}, {"id": "a023f0e18bbe770d9480bd0c2c4915b8b21c8655", "title": "Crowd Simulation Model Integrating \"Physiology-Psychology-Physics\" Factors", "year": "2018", "pdf": [], "doi": []}, {"id": "07625af8d73142e239b5cdccb1dd226648e4b0d4", "title": "Learning Scene-Independent Group Descriptors for Crowd Understanding", "year": "2017", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/tcvst_2016_learning.pdf", "http://www.ee.cuhk.edu.hk/~jshao/papers_jshao/jshao_group_tcsvt16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428859", "http://doi.org/10.1109/TCSVT.2016.2539878"]}, {"id": "eeef24e3d1d7076fd10ae4c7f028b0fa0888fb06", "title": "Videobasierte Rauchdetektion durch mehrfache Bewegungssch\u00e4tzung und Anpassungen f\u00fcr geringe Rauchdichten", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eeef/24e3d1d7076fd10ae4c7f028b0fa0888fb06.pdf"], "doi": []}, {"id": "88e1580e975ec0edab7327783f59665dc711ee7c", "title": "An evaluation of crowd counting methods, features and regression models", "year": "2015", "pdf": ["http://eprints.qut.edu.au/75845/4/75845.pdf", "http://www.dryan.id.au/An-evaluation-of-crowd-counting-methods-features-and-regression-models.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.07.008"]}, {"id": "94ead3662a08a3118b2958a5b4a168a4d034df53", "title": "Path patterns: analyzing and comparing real and simulated crowds", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2856410"]}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "75cf72819b8741777a961157f43d994238219f5e", "title": "Crowd Behavior Detection for Abnormal Conditions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/75cf/72819b8741777a961157f43d994238219f5e.pdf"], "doi": []}, {"id": "ff51b5c8503ffb397f2e27276fc32cd7801c8c9e", "title": "CubeP Crowds: crowd simulation integrated into \"Physiology-Psychology-Physics\" factors", "year": "2017", "pdf": [], "doi": []}, {"id": "aaa47aca53ccf00ad804b3f9702a1f647c5aca2b", "title": "Motion detection in video surviellance: A systematic survey", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398880"]}]}
\ No newline at end of file +{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "citations": [{"id": "6655aebc1ba3e0fada0a05069e84548deee50e7e", "title": "Advances and trends in visual crowd analysis: A systematic survey and evaluation of crowd modelling techniques", "year": "2016", "pdf": ["http://home.isr.uc.pt/~jorge/wp-content/uploads/85.pdf", "http://home.isr.uc.pt/~jorge/wp-content/uploads/93.pdf", "http://home.isr.uc.pt/~jorge/wp-content/uploads/95.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2015.12.070", "https://www.wikidata.org/entity/Q57981030"]}, {"id": "8b2c9743de156189bf927a158f21e08412ff0de0", "title": "Convolutional DLSTM for Crowd Scene Understanding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241582", "http://doi.ieeecomputersociety.org/10.1109/ISM.2017.19", "http://doi.org/10.1109/ISM.2017.19"]}, {"id": "655b1f83ef218ee6a030b5541d2865bc6599e6d9", "title": "Analyzing Tracklets for the Detection of Abnormal Crowd Behavior", "year": "2015", "pdf": ["https://www.researchgate.net/profile/Hossein_Mousavi6/publication/278673112_Analyzing_Tracklets_for_the_Detection_of_Abnormal_Crowd_Behavior/links/558295f708ae6cf036c18d0f.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045881", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.27", "http://doi.org/10.1109/WACV.2015.27"]}, {"id": "a1b4c98907c0c08671e69ebaaca6315000d5099c", "title": "Evidential event inference in transport video surveillance", "year": "2016", "pdf": ["http://www.cs.qub.ac.uk/~W.Liu/CVIU16.pdf", "http://www.cs.qub.ac.uk/~W.Liu/CVIU2016.pdf", "https://pure.qub.ac.uk/portal/files/17941842/revision_CVIU_14_695.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.10.017"]}, {"id": "46b7727ffcb4dc9fc7838e59c84461a2b903038d", "title": "Detecting and indexing moving objects for behavior analysis by video and audio interpretation. (La d\u00e9tection et l'indexation des objets en mouvement pour l'analyse du comportement par vid\u00e9o et audio interpr\u00e9tation)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/46b7/727ffcb4dc9fc7838e59c84461a2b903038d.pdf"], "doi": []}, {"id": "90c4c8bafe50500312350e73d93eda6e63196832", "title": "Deep trajectory representation-based clustering for motion pattern extraction in videos", "year": "2017", "pdf": ["http://tahirnawaz.com/papers/2017_AVSS_DeepFeatureBasedTrajectoryClustering_Boyle_Nawaz_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078509", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078509", "http://doi.org/10.1109/AVSS.2017.8078509"]}, {"id": "31bac8e29c25d19c11303440834e59ca8ae5a45c", "title": "Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Encoding_Crowd_Interaction_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578651", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00553", "http://doi.org/10.1109/CVPR.2018.00553"]}, {"id": "2c0b355b8c25b3129bc3a41761e37200c8e5e055", "title": "Measuring Flow Complexity in Videos", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751246"]}, {"id": "5566f5c364a3e9322f814d67541de0271a6d1b59", "title": "Simulating Group Formations Using RVO", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5566/f5c364a3e9322f814d67541de0271a6d1b59.pdf"], "doi": []}, {"id": "01e214009e6c9dc7ee566fde4f089c5ddb739442", "title": "Learning and Inferring \u201cDark Matter\u201d and Predicting Human Intents and Trajectories in Videos", "year": "2018", "pdf": ["http://www.stat.ucla.edu/~sczhu/papers/PAMI_Dark_Matter.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7984896", "http://doi.org/10.1109/TPAMI.2017.2728788", "https://www.ncbi.nlm.nih.gov/pubmed/28727549", "https://www.wikidata.org/entity/Q50432216"]}, {"id": "347573e0b27a01748f8a6781dd84bb312aea5c53", "title": "Multi-Target Adaptive On-line Tracking based on WIHM", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3475/73e0b27a01748f8a6781dd84bb312aea5c53.pdf"], "doi": []}, {"id": "4fea55f4b75633edbbf7889592959fe74afed564", "title": "Anomaly detection in trajectories", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7496051"]}, {"id": "b94238a31edc961d78cc48292c58f8fc39dfa008", "title": "Analyzing crowd behavior in naturalistic conditions: Identifying sources and sinks and characterizing main flows", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2015.11.049"]}, {"id": "72b619c805c2eb830c7a728f3c97af124807f7f5", "title": "Real-Time People Counting System for Customer Movement Analysis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8478241"]}, {"id": "1e122a4f97da88faa0472aa2b0aa994779e910ef", "title": "Gate and Common Pathway Detection in Crowd Scenes Using Motion Units and Meta-Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227438"]}, {"id": "540cc9b479ed60065b1182a94c02b34c75d76823", "title": "Unsupervised Trajectory Modelling Using Temporal Information via Minimal Paths", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909723"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "542a2ddc53d80d58a8791ab1a72dad660035e114", "title": "A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01202.pdf"], "doi": []}, {"id": "bb827b7e998f3f7ee944424ad783523025b41abd", "title": "Support Vector Motion Clustering", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490350"]}, {"id": "90aa877941f70307b57e07c954c0ff1fe4d4b678", "title": "Long-range trajectories from global and local motion representations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.08647.pdf"], "doi": []}, {"id": "aaaead632a12b372a91ce2ca5810d98234a82a39", "title": "Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410849"]}, {"id": "abc81655428a91d1977907c96cedc3539949eb72", "title": "A velocity field approach to the detection of pedestrian interactions", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6608936"]}, {"id": "06686d25a6a7fecb201b428260636e2265f71238", "title": "Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv17_cd.pdf"], "doi": ["https://doi.org/10.1007/s11263-017-1005-y"]}, {"id": "6c4d15898e48a60a70969ef7f42d0b8aa3d0cb03", "title": "Predicting and recognizing human interactions in public spaces", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s11554-014-0428-8"]}, {"id": "08030f9d34cc96384f672d9f9f296914d594335b", "title": "Multiple Object Tracking: A Review", "year": "2014", "pdf": [], "doi": []}, {"id": "83b7578e2d9fa60d33d9336be334f6f2cc4f218f", "title": "The S-HOCK dataset: Analyzing crowds at the stadium", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_101.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_101_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1B_101_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Conigliaro_The_S-Hock_Dataset_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298815", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298815", "http://doi.org/10.1109/CVPR.2015.7298815"]}, {"id": "ab02c78c9cc4ab80da45def34f0cf2c1b54fd8ed", "title": "Multi-agent path topology in support of socially competent navigation planning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4c8/feb9891e2199ad8abd845b5c97aebbfd5b76.pdf"], "doi": []}, {"id": "1fe2ed65bf8605e286ee04d51863e4a7cf8a167a", "title": "Category-Blind Human Action Recognition: A Practical Recognition System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410862"]}, {"id": "be7f24d4b3360ee96f691327951a22e79b7068d9", "title": "Modeling crowds as single-minded entities", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7906029"]}, {"id": "a685a6d034e32f86cd97948ac27eadf98d127c7b", "title": "Aggressive, Tense or Shy? Identifying Personality Traits from Crowd Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4719/6c67d3fd073876eed8d6a412b9c808e55193.pdf"], "doi": []}, {"id": "9fa796a11bbcc50fd20796701a123177cbd59ca5", "title": "Crowd Scene Analysis Using Deep Learning Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8550851"]}, {"id": "8b86e6297fc9b4804fb2b78622ca1e7c8dc952c3", "title": "Scene-Independent Group Profiling in Crowd", "year": "2014", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2014_scene.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Shao_Scene-Independent_Group_Profiling_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~jshao/CUHKcrowd_files/ID860_present.pdf", "http://www.ee.cuhk.edu.hk/~jshao/papers_jshao/jshao_group_in_crowd_cvpr14.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/shaoCWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909682", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.285", "http://doi.org/10.1109/CVPR.2014.285"]}, {"id": "224ffad672f7e6c7995780eb9bd3c8a141cb25cd", "title": "Understanding pedestrian behaviors from stationary crowd groups", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_017.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_017_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_017_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Yi_Understanding_Pedestrian_Behaviors_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298971", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298971", "http://doi.org/10.1109/CVPR.2015.7298971"]}, {"id": "938dc97889fe5b00eab73b5a7a40b707c0cfa681", "title": "Sparse Representation for Crowd Attributes Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7934297"]}, {"id": "a3f67dbb0d72b236ff7c11b9d3611478d04b902e", "title": "Crowd Behavior Analysis: A Review where Physics meets Biology", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06586.pdf"], "doi": []}, {"id": "d5d5a5f565b007967583dc18fc60ff793518bd56", "title": "Measuring Crowd Collectiveness with Trajectory Smoothing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337520"]}, {"id": "7719db31b1555addab9dacfc7afe9f17cbabad8f", "title": "Learning from sequential data for anomaly detection", "year": "2014", "pdf": [], "doi": []}, {"id": "16d1e29b588fd26f5f0ac8038110f7b8500a1ec9", "title": "$L_0$ Regularized Stationary-Time Estimation for Crowd Analysis", "year": "2017", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/crowd_pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7463073", "http://doi.org/10.1109/TPAMI.2016.2560807", "https://www.ncbi.nlm.nih.gov/pubmed/28113539", "https://www.wikidata.org/entity/Q48000682"]}, {"id": "a8d525c513273b19dfb93ca969f664ba4baadebc", "title": "COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410729"]}, {"id": "d257a85d640e6e409f74a7074da078f343b9ec8f", "title": "ViTBAT: Video tracking and behavior annotation tool", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738055"]}, {"id": "4332314ac4ab56153f68a9e55e92b3659e93a5b4", "title": "Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents", "year": "2014", "pdf": ["http://people.csail.mit.edu/bzhou/project/cvpr2012/ijcv.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTWijcv14.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0735-3"]}, {"id": "c451df8fddcdb3ab95c0a8392c82c0799817f461", "title": "Video and image processing based techniques for people detection and counting in crowded environments", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c451/df8fddcdb3ab95c0a8392c82c0799817f461.pdf"], "doi": []}, {"id": "ca228b42de0f0311f4826292a2996d3348ca43fe", "title": "Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07827.pdf"], "doi": []}, {"id": "6b9a188848b7d482b308f6852860ca20124f0d1d", "title": "Emotion Estimation in Crowds: The Interplay of Motivations and Expectations in Individual Emotions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553370"]}, {"id": "3dffacda086689c1bcb01a8dad4557a4e92b8205", "title": "Multiple Object Tracking: A Literature Review", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7618.pdf"], "doi": []}, {"id": "1aded58a43338e651c00f2771d845b7a61b40190", "title": "Dynamic Trajectory Model for Analysis of Traffic States using DPMM", "year": "2018", "pdf": [], "doi": []}, {"id": "a959bb513ba066fe7852395c4cfe67d2d60a7493", "title": "Counting People Based on Linear, Weighted, and Local Random Forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227421"]}, {"id": "faf0fa6d706c088861288ad628f75ed09d924c85", "title": "Crowd Anomaly Detection Using Motion Based Spatio-Temporal Feature Analysis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/faf0/fa6d706c088861288ad628f75ed09d924c85.pdf"], "doi": []}, {"id": "0b6256f1d669e6d26075e648da219dc7408797d5", "title": "Crowd behavior understanding through SIOF feature analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082086"]}, {"id": "0ae07f24251946b2086fb992031c298ada2805de", "title": "Exemplar-AMMs: Recognizing Crowd Movements From Pedestrian Trajectories", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09454.pdf"], "doi": []}, {"id": "6282e59f5b40464df3cd66a8e7002b4645d4bd25", "title": "UNDERSTANDING EVENTS IN VIDEO", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6282/e59f5b40464df3cd66a8e7002b4645d4bd25.pdf"], "doi": []}, {"id": "4119d0364fd2c5b869888025ea94e8b65a2d5faf", "title": "Physics Inspired Methods for Crowd Video Surveillance and Analysis: A Survey", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8517154"]}, {"id": "0779875eff440365184dd8bf44e9f85f78267c5f", "title": "An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10398.pdf"], "doi": []}, {"id": "782bec7177abadf8b8fd31392edf2477caad8a15", "title": "Inferring \"Dark Matter\" and \"Dark Energy\" from Videos", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751387"]}, {"id": "4b04b2d5195cffa31a522cfded0f9c8aa3da2f23", "title": "Estimating the Real Positions of Objects in Images by Using Evolutionary Algorithm", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7878651"]}, {"id": "fcdc307dc43d8dfc77b15dd642ece0be4327bc54", "title": "A novel approach for people counting and tracking from crowd video", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001170"]}, {"id": "7a47ac0dda9e15e77d155c5ba425bbfcfad80d97", "title": "Crowded Pedestrian Detection and Density Estimation by Visual Words Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7a47/ac0dda9e15e77d155c5ba425bbfcfad80d97.pdf"], "doi": []}, {"id": "0e72248f06182700d743a5c4a8ebaea9237839a0", "title": "Modified balanced iterative reducing and clustering using hierarchies (m-BIRCH) for visual clustering", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s10044-015-0472-4"]}, {"id": "f4f2d93b3de67f08365e4d84067694d27f6030fd", "title": "Towards Fully Data-Driven Tracking of Pedestrians and Vehicles in Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f4f2/d93b3de67f08365e4d84067694d27f6030fd.pdf"], "doi": []}, {"id": "a023f0e18bbe770d9480bd0c2c4915b8b21c8655", "title": "Crowd Simulation Model Integrating \"Physiology-Psychology-Physics\" Factors", "year": "2018", "pdf": [], "doi": []}, {"id": "07625af8d73142e239b5cdccb1dd226648e4b0d4", "title": "Learning Scene-Independent Group Descriptors for Crowd Understanding", "year": "2017", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/tcvst_2016_learning.pdf", "http://www.ee.cuhk.edu.hk/~jshao/papers_jshao/jshao_group_tcsvt16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428859", "http://doi.org/10.1109/TCSVT.2016.2539878"]}, {"id": "eeef24e3d1d7076fd10ae4c7f028b0fa0888fb06", "title": "Videobasierte Rauchdetektion durch mehrfache Bewegungssch\u00e4tzung und Anpassungen f\u00fcr geringe Rauchdichten", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eeef/24e3d1d7076fd10ae4c7f028b0fa0888fb06.pdf"], "doi": []}, {"id": "88e1580e975ec0edab7327783f59665dc711ee7c", "title": "An evaluation of crowd counting methods, features and regression models", "year": "2015", "pdf": ["http://eprints.qut.edu.au/75845/4/75845.pdf", "http://www.dryan.id.au/An-evaluation-of-crowd-counting-methods-features-and-regression-models.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.07.008"]}, {"id": "94ead3662a08a3118b2958a5b4a168a4d034df53", "title": "Path patterns: analyzing and comparing real and simulated crowds", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2856410"]}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "75cf72819b8741777a961157f43d994238219f5e", "title": "Crowd Behavior Detection for Abnormal Conditions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/75cf/72819b8741777a961157f43d994238219f5e.pdf"], "doi": []}, {"id": "ff51b5c8503ffb397f2e27276fc32cd7801c8c9e", "title": "CubeP Crowds: crowd simulation integrated into \"Physiology-Psychology-Physics\" factors", "year": "2017", "pdf": [], "doi": []}, {"id": "aaa47aca53ccf00ad804b3f9702a1f647c5aca2b", "title": "Motion detection in video surviellance: A systematic survey", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398880"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/duke_mtmc.json b/site/datasets/unknown/duke_mtmc.json index d933a1b3..b1d3d367 100644 --- a/site/datasets/unknown/duke_mtmc.json +++ b/site/datasets/unknown/duke_mtmc.json @@ -1 +1 @@ -{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "citations": [{"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"], "doi": []}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "title": "Features for Multi-target Multi-camera Tracking and Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578730"]}, {"id": "5d8ab5c473eb9e083ceb35ebeb00a062114ee6ac", "title": "A Reinforcement Learning Approach to Target Tracking in a Camera Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10336.pdf"], "doi": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "e278218ba1ff1b85d06680e99b08e817d0962dab", "title": "Tracking Persons-of-Interest via Unsupervised Representation Adaptation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02139.pdf"], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "36bccfb2ad847096bc76777e544f305813cd8f5b", "title": "WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1562-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Chavdarova_WILDTRACK_A_Multi-Camera_CVPR_2018_paper.pdf", "http://www.idiap.ch/~fleuret/papers/chavdarova-et-al-cvpr2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578626", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00528", "http://doi.org/10.1109/CVPR.2018.00528"]}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "e746447afc4898713a0bcf2bb560286eb4d20019", "title": "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02074.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "317f5a56519df95884cce81cfba180ee3adaf5a5", "title": "Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07295.pdf"], "doi": []}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "e42e7735f94a8f498ef0bf790ab43a668f904848", "title": "Low-Latency Detec on and Tracking of Aircra in Very High-Resolu on Video Feeds", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e42e/7735f94a8f498ef0bf790ab43a668f904848.pdf"], "doi": []}, {"id": "9812542cae5a470ea601e7c3a871331694105093", "title": "Person Re-identification by Deep Learning Attribute-Complementary Information", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014920", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.186", "http://doi.org/10.1109/CVPRW.2017.186"]}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "e90816e1a0e14ea1e7039e0b2782260999aef786", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"], "doi": []}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"id": "b90b462619ba03fd3de0fd01b6c293185f4ba71d", "title": "Learning from Demonstration in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03516.pdf"], "doi": []}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "title": "Human tracking over camera networks: a review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/39df/6ca15f41e5a674ed8cd1654e699dbc8b8c11.pdf"], "doi": []}, {"id": "834ff8e06ed3f01c10958a276f1526fce7ffd387", "title": "Automatic Adaptation of Person Association for Multiview Tracking in Group Activities", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08717.pdf"], "doi": []}, {"id": "6cde93a5288e84671a7bee98cf6c94037f42da42", "title": "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578208"]}, {"id": "6438a73bade949bd2858ec0e25de52b59be1fdb9", "title": "Re-identification for Online Person Tracking by Modeling Space-Time Continuum", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w29/Narayan_Re-Identification_for_Online_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00193", "http://doi.org/10.1109/CVPRW.2018.00193"]}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "fde900199b2aa6d8a5364342885bdb2f5f7073c2", "title": "Deep Structured Prediction: A New Formulation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396970", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00014", "http://doi.org/10.1109/MIPR.2018.00014"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "96330777eb14dd6bc31d61b0d7f276083a04e34f", "title": "Real-time Implementation of YOLO+JPDA for Small Scale UAV Multiple Object Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8453398"]}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "5645f567d83bacf318c9b8c4adb5e508b713e466", "title": "Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": [], "doi": []}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "cb68c60ac046a0ec1c7f67487f14b999037313e1", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "27b2f28fca10afaa046ae3821685d05a267287cf", "title": "Recurrent Metric Networks and Batch Multiple Hypothesis for Multi-Object Tracking", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8584998"]}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "4e12080616da4b540c8f79db2dd1b654cd8345ce", "title": "Pose-Driven Deep Models for Person Re-Identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "title": "Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10984.pdf"], "doi": []}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "02e97e65fd0ec9a6d98a255d0396eb796a5e444a", "title": "Online Multiple View Tracking: Targets Association Across Cameras", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/02e9/7e65fd0ec9a6d98a255d0396eb796a5e444a.pdf"], "doi": []}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "d2b86b6dc93631990e21a12278e77f002fb4b116", "title": "Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b8/6b6dc93631990e21a12278e77f002fb4b116.pdf"], "doi": []}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "title": "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11334.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "35e730f7967155b9394f9e5d3cadf2b955ce9a7b", "title": "Deep Affinity Network for Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11780.pdf"], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "8abe89ab85250fd7a8117da32bc339a71c67dc21", "title": "Multi-camera Multi-Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07065.pdf"], "doi": []}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.pdf"], "doi": []}, {"id": "b37538f9364252eec4182bdbb80ef1e4614c3acd", "title": "Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification", "year": "2017", "pdf": [], "doi": []}, {"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "be501779ba57eb1ecc1d9ec96b59e7bdd365f2f3", "title": "Person Re-Identification Based on Attribute Heterogeneity", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8588946"]}, {"id": "38259235a1c7b2c68ca09f3bc0930987ae99cf00", "title": "Deep Feature Ranking for Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8624253"]}, {"id": "bab66082d01b393e6b9e841e5e06782a6c61ec88", "title": "Pose-Driven Deep Models for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "title": "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08115.pdf"], "doi": []}, {"id": "76fb9e2963928bf8e940944d45c13d52db947702", "title": "Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00478.pdf"], "doi": []}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "386ce3ac3d2db91290c8c2fa984a5e76dd364169", "title": "Person Re-Identification by Multi-Camera Networks for Internet of Things in Smart Cities", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8548589"]}, {"id": "d9216cc2a3c03659cb2392b7cc8509feb7829579", "title": "Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575514"]}, {"id": "f18fe123e9017f3a9ac7cd140560a30b5a9b82c2", "title": "Improving Text-Based Person Search by Spatial Matching and Adaptive Threshold", "year": "2018", "pdf": ["https://www.cs.rochester.edu/~cxu22/p/wacv2018_tpsearch_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354312", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00208", "http://doi.org/10.1109/WACV.2018.00208"]}, {"id": "b717ef0852040fa4bcda8f776d4b8a50400d6d97", "title": "Wardrobe Model for Long Term Re-identification and Appearance Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639157"]}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17325", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17325/16308"]}, {"id": "fb5ae9c218fab5582014d9834d371054e947b9a8", "title": "Identification of pedestrian attributes using deep network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217493"]}, {"id": "d6e8930b3758e415a09238aae4a129bbf2d5468b", "title": "A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600306", "http://doi.org/10.1109/ACCESS.2019.2890836"]}, {"id": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.pdf"], "doi": []}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "dd749916f9705a55881f77f4211f1b0051e4885f", "title": "Attribute-based Person Retrieval and Search in Video Sequences", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639114"]}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "69835bdd4da26fccd54f4a8d351f71fd1ba63a92", "title": "Bag of local features for person re-identification on large-scale datasets", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6983/5bdd4da26fccd54f4a8d351f71fd1ba63a92.pdf"], "doi": []}, {"id": "12d62f1360587fdecee728e6c509acc378f38dc9", "title": "Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06118.pdf"], "doi": []}, {"id": "bccadacb4689e060711d95082ab9d0ed4e0c4e74", "title": "Cluster Loss for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10325.pdf"], "doi": []}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468189", "http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "4a91be40e6b382c3ddf3385ac44062b2399336a8", "title": "Random Occlusion-recovery for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "1822ca8db58b0382b0c64f310840f0f875ea02c0", "title": "Camera Style Adaptation for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578639"]}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "9c889616034adce2af05d74eac44cf43a8106468", "title": "Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.09240.pdf"], "doi": []}, {"id": "d0256c9431a18694c33bf0c6a8e0c48ff0614d28", "title": "Simple Real-Time Multi-face Tracking Based on Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575772"]}, {"id": "3144c9b3bedb6e3895dcd36998bcb0903271841d", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "6dce5866ebc46355a35b8667c1e04a4790c2289b", "title": "Extensions of dominant sets and their applications in computer vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6dce/5866ebc46355a35b8667c1e04a4790c2289b.pdf"], "doi": []}, {"id": "43001722a7b31427d1ee16ef47c0482fdf552011", "title": "Review of Person Re-identification Methods", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560849"]}, {"id": "96e77135e745385e87fdd0f7ced951bf1fe9a756", "title": "People Tracking and Re-Identification from Multiple Cameras", "year": "2018", "pdf": [], "doi": []}]}
\ No newline at end of file +{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "citations": [{"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"], "doi": []}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "title": "Features for Multi-target Multi-camera Tracking and Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578730"]}, {"id": "5d8ab5c473eb9e083ceb35ebeb00a062114ee6ac", "title": "A Reinforcement Learning Approach to Target Tracking in a Camera Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10336.pdf"], "doi": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "e278218ba1ff1b85d06680e99b08e817d0962dab", "title": "Tracking Persons-of-Interest via Unsupervised Representation Adaptation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02139.pdf"], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "36bccfb2ad847096bc76777e544f305813cd8f5b", "title": "WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1562-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Chavdarova_WILDTRACK_A_Multi-Camera_CVPR_2018_paper.pdf", "http://www.idiap.ch/~fleuret/papers/chavdarova-et-al-cvpr2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578626", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00528", "http://doi.org/10.1109/CVPR.2018.00528"]}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "e746447afc4898713a0bcf2bb560286eb4d20019", "title": "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02074.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "317f5a56519df95884cce81cfba180ee3adaf5a5", "title": "Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07295.pdf"], "doi": []}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "e42e7735f94a8f498ef0bf790ab43a668f904848", "title": "Low-Latency Detec on and Tracking of Aircra in Very High-Resolu on Video Feeds", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e42e/7735f94a8f498ef0bf790ab43a668f904848.pdf"], "doi": []}, {"id": "9812542cae5a470ea601e7c3a871331694105093", "title": "Person Re-identification by Deep Learning Attribute-Complementary Information", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014920", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.186", "http://doi.org/10.1109/CVPRW.2017.186"]}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "e90816e1a0e14ea1e7039e0b2782260999aef786", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"], "doi": []}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"id": "b90b462619ba03fd3de0fd01b6c293185f4ba71d", "title": "Learning from Demonstration in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03516.pdf"], "doi": []}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "title": "Human tracking over camera networks: a review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/39df/6ca15f41e5a674ed8cd1654e699dbc8b8c11.pdf"], "doi": []}, {"id": "834ff8e06ed3f01c10958a276f1526fce7ffd387", "title": "Automatic Adaptation of Person Association for Multiview Tracking in Group Activities", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08717.pdf"], "doi": []}, {"id": "6cde93a5288e84671a7bee98cf6c94037f42da42", "title": "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578208"]}, {"id": "6438a73bade949bd2858ec0e25de52b59be1fdb9", "title": "Re-identification for Online Person Tracking by Modeling Space-Time Continuum", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w29/Narayan_Re-Identification_for_Online_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00193", "http://doi.org/10.1109/CVPRW.2018.00193"]}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "fde900199b2aa6d8a5364342885bdb2f5f7073c2", "title": "Deep Structured Prediction: A New Formulation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396970", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00014", "http://doi.org/10.1109/MIPR.2018.00014"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "96330777eb14dd6bc31d61b0d7f276083a04e34f", "title": "Real-time Implementation of YOLO+JPDA for Small Scale UAV Multiple Object Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8453398"]}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "5645f567d83bacf318c9b8c4adb5e508b713e466", "title": "Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": [], "doi": []}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "cb68c60ac046a0ec1c7f67487f14b999037313e1", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "27b2f28fca10afaa046ae3821685d05a267287cf", "title": "Recurrent Metric Networks and Batch Multiple Hypothesis for Multi-Object Tracking", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8584998"]}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "4e12080616da4b540c8f79db2dd1b654cd8345ce", "title": "Pose-Driven Deep Models for Person Re-Identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "title": "Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10984.pdf"], "doi": []}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "02e97e65fd0ec9a6d98a255d0396eb796a5e444a", "title": "Online Multiple View Tracking: Targets Association Across Cameras", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/02e9/7e65fd0ec9a6d98a255d0396eb796a5e444a.pdf"], "doi": []}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "d2b86b6dc93631990e21a12278e77f002fb4b116", "title": "Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b8/6b6dc93631990e21a12278e77f002fb4b116.pdf"], "doi": []}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "title": "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11334.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "35e730f7967155b9394f9e5d3cadf2b955ce9a7b", "title": "Deep Affinity Network for Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11780.pdf"], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "8abe89ab85250fd7a8117da32bc339a71c67dc21", "title": "Multi-camera Multi-Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07065.pdf"], "doi": []}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.pdf"], "doi": []}, {"id": "b37538f9364252eec4182bdbb80ef1e4614c3acd", "title": "Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification", "year": "2017", "pdf": [], "doi": []}, {"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "be501779ba57eb1ecc1d9ec96b59e7bdd365f2f3", "title": "Person Re-Identification Based on Attribute Heterogeneity", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8588946"]}, {"id": "38259235a1c7b2c68ca09f3bc0930987ae99cf00", "title": "Deep Feature Ranking for Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8624253"]}, {"id": "bab66082d01b393e6b9e841e5e06782a6c61ec88", "title": "Pose-Driven Deep Models for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "title": "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08115.pdf"], "doi": []}, {"id": "76fb9e2963928bf8e940944d45c13d52db947702", "title": "Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00478.pdf"], "doi": []}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "386ce3ac3d2db91290c8c2fa984a5e76dd364169", "title": "Person Re-Identification by Multi-Camera Networks for Internet of Things in Smart Cities", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8548589"]}, {"id": "d9216cc2a3c03659cb2392b7cc8509feb7829579", "title": "Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575514"]}, {"id": "f18fe123e9017f3a9ac7cd140560a30b5a9b82c2", "title": "Improving Text-Based Person Search by Spatial Matching and Adaptive Threshold", "year": "2018", "pdf": ["https://www.cs.rochester.edu/~cxu22/p/wacv2018_tpsearch_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354312", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00208", "http://doi.org/10.1109/WACV.2018.00208"]}, {"id": "b717ef0852040fa4bcda8f776d4b8a50400d6d97", "title": "Wardrobe Model for Long Term Re-identification and Appearance Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639157"]}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17325", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17325/16308"]}, {"id": "fb5ae9c218fab5582014d9834d371054e947b9a8", "title": "Identification of pedestrian attributes using deep network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217493"]}, {"id": "d6e8930b3758e415a09238aae4a129bbf2d5468b", "title": "A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600306", "http://doi.org/10.1109/ACCESS.2019.2890836"]}, {"id": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.pdf"], "doi": []}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "dd749916f9705a55881f77f4211f1b0051e4885f", "title": "Attribute-based Person Retrieval and Search in Video Sequences", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639114"]}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "69835bdd4da26fccd54f4a8d351f71fd1ba63a92", "title": "Bag of local features for person re-identification on large-scale datasets", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6983/5bdd4da26fccd54f4a8d351f71fd1ba63a92.pdf"], "doi": []}, {"id": "12d62f1360587fdecee728e6c509acc378f38dc9", "title": "Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06118.pdf"], "doi": []}, {"id": "bccadacb4689e060711d95082ab9d0ed4e0c4e74", "title": "Cluster Loss for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10325.pdf"], "doi": []}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468189", "http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "4a91be40e6b382c3ddf3385ac44062b2399336a8", "title": "Random Occlusion-recovery for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "1822ca8db58b0382b0c64f310840f0f875ea02c0", "title": "Camera Style Adaptation for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578639"]}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "9c889616034adce2af05d74eac44cf43a8106468", "title": "Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.09240.pdf"], "doi": []}, {"id": "d0256c9431a18694c33bf0c6a8e0c48ff0614d28", "title": "Simple Real-Time Multi-face Tracking Based on Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575772"]}, {"id": "3144c9b3bedb6e3895dcd36998bcb0903271841d", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "6dce5866ebc46355a35b8667c1e04a4790c2289b", "title": "Extensions of dominant sets and their applications in computer vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6dce/5866ebc46355a35b8667c1e04a4790c2289b.pdf"], "doi": []}, {"id": "43001722a7b31427d1ee16ef47c0482fdf552011", "title": "Review of Person Re-identification Methods", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560849"]}, {"id": "96e77135e745385e87fdd0f7ced951bf1fe9a756", "title": "People Tracking and Re-Identification from Multiple Cameras", "year": "2018", "pdf": [], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/ilids_mcts_vid.json b/site/datasets/unknown/ilids_mcts_vid.json index f4ae3ef2..91a75e9a 100644 --- a/site/datasets/unknown/ilids_mcts_vid.json +++ b/site/datasets/unknown/ilids_mcts_vid.json @@ -1 +1 @@ -{"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "citations": [{"id": "7f8d4494aba2a2b11a88bf7de4b8879b047dd69b", "title": "Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578661", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00563", "http://doi.org/10.1109/CVPR.2018.00563"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "a7fe834a0af614ce6b50dc093132b031dd9a856b", "title": "Orientation Driven Bag of Appearances for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02464.pdf"], "doi": []}, {"id": "c4c66578a8ec100861bee5a16b1c9c7d28be95e6", "title": "Identification of a specific person using color, height, and gait features for a person following robot", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.robot.2016.07.004"]}, {"id": "cd7c007f5831b294160eaf1cc6270af4a0ca9bf4", "title": "Person re-identification with block sparse recovery", "year": "2017", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-ivc16.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.11.015"]}, {"id": "a94b832facb57ea37b18927b13d2dd4c5fa3a9ea", "title": "Domain transfer convolutional attribute embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09733.pdf"], "doi": []}, {"id": "734516f9eec8ec70ef924806fbc6f8093e94a0e8", "title": "Recurrent Convolutional Network for Video-Based Person Re-identification", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "http://pure.qub.ac.uk/portal/files/27151912/PID4180443.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734119,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780517", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.148", "http://doi.org/10.1109/CVPR.2016.148"]}, {"id": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"], "doi": []}, {"id": "830fb48d04609bef50ae7f8f3513ce1b160894c9", "title": "Multi-Shot Human Re-Identification for the Security in Video Surveillance Systems", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8495936", "http://doi.ieeecomputersociety.org/10.1109/WETICE.2018.00046", "http://doi.org/10.1109/WETICE.2018.00046"]}, {"id": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"], "doi": []}, {"id": "35184b2891ca17a8b1e5fe45b319336d00a2a4c9", "title": "Video Person Re-Identification by Temporal Residual Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07918.pdf"], "doi": []}, {"id": "e216e7755e1c6850a3e64d1e6402aaf5a36e2188", "title": "From Groups to Co-Traveler Sets: Pair Matching Based Person Re-identification Framework", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Cao_From_Groups_to_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265513", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.302", "http://doi.org/10.1109/ICCVW.2017.302"]}, {"id": "356965584382b789e17d073edbfc096aed74d05b", "title": "Video-Based Person Re-Identification via Self Paced Weighting", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/aeb0/f4ffb57e40c93606458707622c0b37ea3790.pdf"], "doi": []}, {"id": "a6f477f3c1cb2ab230fe8d89c31ae6af0b9c2346", "title": "Relevance Subject Machine: A Novel Person Re-identification Framework", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10645.pdf"], "doi": []}, {"id": "5a603ab4b6353fc244361930c28723b3bc091f4b", "title": "Deep Feature Learning with Relative Distance Comparison for Person Re-identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.03622.pdf"], "doi": []}, {"id": "acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca", "title": "Person Re-identification in Identity Regression Space", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09695.pdf"], "doi": []}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "bb3d634c5c021de7c2ba10b073c63171f7610c6c", "title": "Multi-shot Pedestrian Re-identification via Sequential Decision Making", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578807"]}, {"id": "2868622003cbfd5cfc817cb57896298c0858b166", "title": "BIFOCAL STEREO FOR MULTIPATH PERSON RE-IDENTIFICATION", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2868/622003cbfd5cfc817cb57896298c0858b166.pdf"], "doi": []}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "58888b30e9123c1b1709be1efa92898e090d7bd2", "title": "Person Re-Identification by Discriminative Selection in Video Ranking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06260.pdf"], "doi": []}, {"id": "d1e8a08aafc64661206c495e963e0b244dfe59cd", "title": "R 4-A . 1 : Dynamics-Based Video Analytics", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aa42/0d32c48a3fd526a91285673cd55ca9fe2447.pdf"], "doi": []}, {"id": "4f7821d28033be3757ad567e0c4e79a43e1b4a72", "title": "People re-identification across non-overlapping cameras using group features", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.06.011"]}, {"id": "1cbad37f54bb3d55c621c31e741472e15f832809", "title": "Integration of deep features and hand-crafted features for person re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026267", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026267", "http://doi.org/10.1109/ICMEW.2017.8026267"]}, {"id": "d8949f4f4085b15978e20ed7c5c34a080dd637f2", "title": "Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Chen_Deep_Spatial-Temporal_Fusion_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014925", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.191", "http://doi.org/10.1109/CVPRW.2017.191"]}, {"id": "54f8a2cc202a65ede4da8593c9dd218eed0b0109", "title": "R 4-A . 3 : Human Detection and Re-Identifi cation for Mass Transit Environments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d55d/2f38ea0bbc7ed0d38fbb6fff3c0eb89027f6.pdf"], "doi": []}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "64f6f1cd23bbac1983ad4115475e4ef26ab86ba4", "title": "Person re-identification by unsupervised video matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08512.pdf"], "doi": []}, {"id": "684c8acd49148020e9bf9c4f4aefc03708a6dac0", "title": "Video-Based Person Re-Identification With Accumulative Motion Context", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.00193.pdf"], "doi": []}, {"id": "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "title": "Human-In-The-Loop Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01345.pdf"], "doi": []}, {"id": "15cd9d3d455cb77948ec498bfa112bef7363c2e4", "title": "Transfer Learning of Spatio-Temporal Information Using 3D-CNN for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8616160"]}, {"id": "2d6130f043e69849fc0443bb489c5d21f933eddd", "title": "Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01609.pdf"], "doi": []}, {"id": "3529310a5b3a8b5a576651dcc994ff1755e8560c", "title": "Video-Based Person Re-identification by Deep Feature Guided Pooling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014922"]}, {"id": "a0303a4d37e8264028808661050c4443b6b880de", "title": "Robust Video Object Tracking in Distributed Camera Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a030/3a4d37e8264028808661050c4443b6b880de.pdf"], "doi": []}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "31ab7bb7a1f84553f3a9bc975131f4ec95caaf61", "title": "Closed and Open-World Person Re-Identification and Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227416", "http://doi.org/10.1109/DICTA.2017.8227416"]}, {"id": "0b0c4641ed1b6d18a1f0789485484d97c1c8cccd", "title": "Re-ranking pedestrian re-identification with multiple Metrics", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6654-5"]}, {"id": "01381e2faeb26489ae9c24c84c42df33901cfe61", "title": "Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05165.pdf"], "doi": []}, {"id": "73a1c6815c0ef4d62cbdb7a73e84d7dcd370b50b", "title": "Fusion of appearance and motion-based sparse representations for multi-shot person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.11.073"]}, {"id": "441e7df66fe6052a6b770c3aeca4acd8dea98643", "title": "PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.06011.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "ae4d06143a6b46ffaf5d228b1fa464dc322ddc18", "title": "R 4-A . 3 : Human Detection & Re-Identification for Mass Transit Environments", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/41dd/d29d9e56bb87b9f988afc75cd597657b2600.pdf"], "doi": []}, {"id": "2fdb3576715829aa9bbaf74825236bbb71d06f1a", "title": "Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01911.pdf"], "doi": []}, {"id": "f1df5f74477658df45814743f2e605656e8ac16e", "title": "See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14514/1/%E8%AE%BA%E6%96%87%20See%20the%20Forest%20for%20the%20Trees%20Joint%20Spatial%20and%20Temporal%20Recurrent%20Neural%20Networks%20for%20Video-based%20Person%20Re-identfication.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_See_the_Forest_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100200", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.717", "http://doi.org/10.1109/CVPR.2017.717"]}, {"id": "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "title": "Multi-type attributes driven multi-camera person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.005"]}, {"id": "9836ebbef8ba972af323e20ba7667e2d03105895", "title": "A Neuromorphic Person Re-Identification Framework for Video Surveillance", "year": "2017", "pdf": ["http://dspace.nitrkl.ac.in/dspace/bitstream/2080/2759/1/IEEEAccess_V5_6471-6482_ANanda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885600", "http://doi.org/10.1109/ACCESS.2017.2686438"]}, {"id": "2c98300103c86401c979ec158a659fb07fd2a36e", "title": "Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation", "year": "2018", "pdf": ["http://crabwq.github.io/pdf/2018%20Bike-Person%20Re-Identification%20A%20Benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8476557", "http://doi.org/10.1109/ACCESS.2018.2872804"]}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "5f1019f26479545a6f2f9c364b995579e283d2ce", "title": "Multi-shot Person Re-Identification Using Part Appearance Mixture", "year": "2017", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/furqanWACV17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926656", "http://doi.org/10.1109/WACV.2017.73"]}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "16f1a35d0149482d6b2b67df58b21b68622e6b9c", "title": "Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics", "year": "2016", "pdf": ["http://ijcai.org/Proceedings/16/Papers/501.pdf", "https://www.ijcai.org/Proceedings/16/Papers/501.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424182", "http://doi.org/10.1109/TIP.2018.2861366", "http://www.ijcai.org/Abstract/16/501", "https://www.ncbi.nlm.nih.gov/pubmed/30072322"]}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "d6e8930b3758e415a09238aae4a129bbf2d5468b", "title": "A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600306", "http://doi.org/10.1109/ACCESS.2019.2890836"]}, {"id": "989d7ee9b43a528f99f33a9f92d16ced735019d1", "title": "Identity Alignment by Noisy Pixel Removal", "year": "2017", "pdf": [], "doi": []}, {"id": "6c518aabdbba2c073eab6a3bb4120023851e524c", "title": "Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c51/8aabdbba2c073eab6a3bb4120023851e524c.pdf"], "doi": []}, {"id": "34d784636e2a8078a6c517f6a9b132b31c2ab3d2", "title": "Recognition of a Person Wearing Sport Shoes or High Heels through Gait Using Two Types of Sensors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/34d7/84636e2a8078a6c517f6a9b132b31c2ab3d2.pdf"], "doi": []}, {"id": "7bcd98ee2df3d14eae7bbed713208cb7da7b5db0", "title": "Unsupervised data association for metric learning in the context of multi-shot person re-identification", "year": "2016", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/FurqanAVSS2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738058", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738058", "http://doi.org/10.1109/AVSS.2016.7738058"]}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "6a4dbd2db0e09a4f3aab3d2602db3176f825d8f9", "title": "Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6a4d/bd2db0e09a4f3aab3d2602db3176f825d8f9.pdf"], "doi": []}, {"id": "61470aaccabd195a361112d38d80d3779498f784", "title": "Stepwise Metric Promotion for Unsupervised Video Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Stepwise_Metric_Promotion_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237528", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.266", "http://doi.org/10.1109/ICCV.2017.266"]}, {"id": "f7bf5b6b4c45a1df022c73a234a65ae77a3eab4a", "title": "Illumination and scale invariant relevant visual features with hypergraph-based learning for multi-shot person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4875-7"]}, {"id": "4d48f40d4599dcebd3b31667cc113e140f95607d", "title": "Enhancing Person Re-Identification Based on Recurrent Feature Aggregation Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337516"]}, {"id": "69ee78388e0f40941496ab92efe3e0fa065ad22e", "title": "Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69ee/78388e0f40941496ab92efe3e0fa065ad22e.pdf"], "doi": []}, {"id": "f18fe123e9017f3a9ac7cd140560a30b5a9b82c2", "title": "Improving Text-Based Person Search by Spatial Matching and Adaptive Threshold", "year": "2018", "pdf": ["https://www.cs.rochester.edu/~cxu22/p/wacv2018_tpsearch_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354312", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00208", "http://doi.org/10.1109/WACV.2018.00208"]}, {"id": "f31c9328b5b4678388c19a39064a8056313f7cf4", "title": "Two-Stream Multi-Rate Recurrent Neural Network for Video-Based Pedestrian Re-Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f31c/9328b5b4678388c19a39064a8056313f7cf4.pdf"], "doi": []}, {"id": "dbec415ba09ab66ea5855aaa1267796b75ef7e7b", "title": "Person Re-identification in Appearance Impaired Scenarios", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00367.pdf"], "doi": []}, {"id": "2f529605ed776d4fbeac2d73054247b495504ac7", "title": "Person Re-identification for Real-world Surveillance Systems", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05975.pdf"], "doi": []}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "76bce0419c3cb063032b1a4a53cfc618c093629e", "title": "Identifying Same Persons from Temporally Synchronized Videos Taken by Multiple Wearable Cameras", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Zheng_Identifying_Same_Persons_CVPR_2016_paper.pdf", "https://cse.sc.edu/~songwang/document/chalearn16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789596", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.106", "http://doi.org/10.1109/CVPRW.2016.106"]}, {"id": "2a8c909e41f2653cc6f24449af97ea599a6f545e", "title": "Low resolution vehicle re-identification based on appearance features for wide area motion imagery", "year": "2016", "pdf": ["http://akme-a2.iosb.fraunhofer.de/EatThisGoogleScholar/2016_Low%20resolution%20vehicle%20re-identification%20based%20on%20appearance%20features%20for%20wide%20area%20motion%20imagery.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470114", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2016.7470114", "http://doi.org/10.1109/WACVW.2016.7470114"]}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "35e15c8aa2a3f017462a64b5ef940baf5993480f", "title": "Top-Push Video-Based Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.08683.pdf"], "doi": []}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "e0027a30bef2d84d33eb3d0d62d9ca4806a53230", "title": "A Two Stream Siamese Convolutional Neural Network for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Chung_A_Two_Stream_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.218", "http://doi.org/10.1109/ICCV.2017.218"]}, {"id": "50cbe0eb6ff6fac20629e86056d8d2e7d991ce52", "title": "Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Learning_View-Invariant_Features_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237573", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.311", "http://doi.org/10.1109/ICCV.2017.311"]}, {"id": "b2c52de097b4e903a1ed487ac8476971f3d52a34", "title": "3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.10222.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "e3466e5ba37f33474eff37555ac274cf098621cc", "title": "Person Reidentification in a Distributed Camera Network Framework", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7479516", "http://doi.org/10.1109/TCYB.2016.2568264", "https://www.ncbi.nlm.nih.gov/pubmed/27249845", "https://www.wikidata.org/entity/Q50634998"]}, {"id": "9dea76d985e50f2b34391f7277488a2dc31ebaf3", "title": "Person re-identification: Attribute-based feature evaluation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8323991"]}, {"id": "7bb929b8ff2f83de91318865232819be8b13fbe5", "title": "Discriminant Context Information Analysis for Post-Ranking Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815412", "http://doi.org/10.1109/TIP.2017.2652725", "https://www.ncbi.nlm.nih.gov/pubmed/28092558", "https://www.wikidata.org/entity/Q39018259"]}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "83c19722450e8f7dcb89dabb38265f19efafba27", "title": "A framework with updateable joint images re-ranking for Person Re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02983.pdf"], "doi": []}, {"id": "25bb4212af72d64ec20cac533f58f7af1472e057", "title": "Person Re-Identification by Camera Correlation Aware Feature Augmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.08837.pdf"], "doi": []}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "5bb24d1250df62a56cab1445f1d8c5c61269b785", "title": "Measuring the Temporal Behavior of Real-World Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05499.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "citations": [{"id": "7f8d4494aba2a2b11a88bf7de4b8879b047dd69b", "title": "Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578661", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00563", "http://doi.org/10.1109/CVPR.2018.00563"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "a7fe834a0af614ce6b50dc093132b031dd9a856b", "title": "Orientation Driven Bag of Appearances for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02464.pdf"], "doi": []}, {"id": "c4c66578a8ec100861bee5a16b1c9c7d28be95e6", "title": "Identification of a specific person using color, height, and gait features for a person following robot", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.robot.2016.07.004"]}, {"id": "cd7c007f5831b294160eaf1cc6270af4a0ca9bf4", "title": "Person re-identification with block sparse recovery", "year": "2017", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-ivc16.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.11.015"]}, {"id": "a94b832facb57ea37b18927b13d2dd4c5fa3a9ea", "title": "Domain transfer convolutional attribute embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09733.pdf"], "doi": []}, {"id": "734516f9eec8ec70ef924806fbc6f8093e94a0e8", "title": "Recurrent Convolutional Network for Video-Based Person Re-identification", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "http://pure.qub.ac.uk/portal/files/27151912/PID4180443.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734119,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780517", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.148", "http://doi.org/10.1109/CVPR.2016.148"]}, {"id": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"], "doi": []}, {"id": "830fb48d04609bef50ae7f8f3513ce1b160894c9", "title": "Multi-Shot Human Re-Identification for the Security in Video Surveillance Systems", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8495936", "http://doi.ieeecomputersociety.org/10.1109/WETICE.2018.00046", "http://doi.org/10.1109/WETICE.2018.00046"]}, {"id": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"], "doi": []}, {"id": "35184b2891ca17a8b1e5fe45b319336d00a2a4c9", "title": "Video Person Re-Identification by Temporal Residual Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07918.pdf"], "doi": []}, {"id": "e216e7755e1c6850a3e64d1e6402aaf5a36e2188", "title": "From Groups to Co-Traveler Sets: Pair Matching Based Person Re-identification Framework", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Cao_From_Groups_to_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265513", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.302", "http://doi.org/10.1109/ICCVW.2017.302"]}, {"id": "356965584382b789e17d073edbfc096aed74d05b", "title": "Video-Based Person Re-Identification via Self Paced Weighting", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/aeb0/f4ffb57e40c93606458707622c0b37ea3790.pdf"], "doi": []}, {"id": "a6f477f3c1cb2ab230fe8d89c31ae6af0b9c2346", "title": "Relevance Subject Machine: A Novel Person Re-identification Framework", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10645.pdf"], "doi": []}, {"id": "5a603ab4b6353fc244361930c28723b3bc091f4b", "title": "Deep Feature Learning with Relative Distance Comparison for Person Re-identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.03622.pdf"], "doi": []}, {"id": "acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca", "title": "Person Re-identification in Identity Regression Space", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09695.pdf"], "doi": []}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "bb3d634c5c021de7c2ba10b073c63171f7610c6c", "title": "Multi-shot Pedestrian Re-identification via Sequential Decision Making", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578807"]}, {"id": "2868622003cbfd5cfc817cb57896298c0858b166", "title": "BIFOCAL STEREO FOR MULTIPATH PERSON RE-IDENTIFICATION", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2868/622003cbfd5cfc817cb57896298c0858b166.pdf"], "doi": []}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "58888b30e9123c1b1709be1efa92898e090d7bd2", "title": "Person Re-Identification by Discriminative Selection in Video Ranking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06260.pdf"], "doi": []}, {"id": "d1e8a08aafc64661206c495e963e0b244dfe59cd", "title": "R 4-A . 1 : Dynamics-Based Video Analytics", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aa42/0d32c48a3fd526a91285673cd55ca9fe2447.pdf"], "doi": []}, {"id": "4f7821d28033be3757ad567e0c4e79a43e1b4a72", "title": "People re-identification across non-overlapping cameras using group features", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.06.011"]}, {"id": "1cbad37f54bb3d55c621c31e741472e15f832809", "title": "Integration of deep features and hand-crafted features for person re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026267", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026267", "http://doi.org/10.1109/ICMEW.2017.8026267"]}, {"id": "d8949f4f4085b15978e20ed7c5c34a080dd637f2", "title": "Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Chen_Deep_Spatial-Temporal_Fusion_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014925", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.191", "http://doi.org/10.1109/CVPRW.2017.191"]}, {"id": "54f8a2cc202a65ede4da8593c9dd218eed0b0109", "title": "R 4-A . 3 : Human Detection and Re-Identifi cation for Mass Transit Environments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d55d/2f38ea0bbc7ed0d38fbb6fff3c0eb89027f6.pdf"], "doi": []}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "64f6f1cd23bbac1983ad4115475e4ef26ab86ba4", "title": "Person re-identification by unsupervised video matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08512.pdf"], "doi": []}, {"id": "684c8acd49148020e9bf9c4f4aefc03708a6dac0", "title": "Video-Based Person Re-Identification With Accumulative Motion Context", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.00193.pdf"], "doi": []}, {"id": "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "title": "Human-In-The-Loop Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01345.pdf"], "doi": []}, {"id": "15cd9d3d455cb77948ec498bfa112bef7363c2e4", "title": "Transfer Learning of Spatio-Temporal Information Using 3D-CNN for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8616160"]}, {"id": "2d6130f043e69849fc0443bb489c5d21f933eddd", "title": "Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01609.pdf"], "doi": []}, {"id": "3529310a5b3a8b5a576651dcc994ff1755e8560c", "title": "Video-Based Person Re-identification by Deep Feature Guided Pooling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014922"]}, {"id": "a0303a4d37e8264028808661050c4443b6b880de", "title": "Robust Video Object Tracking in Distributed Camera Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a030/3a4d37e8264028808661050c4443b6b880de.pdf"], "doi": []}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "31ab7bb7a1f84553f3a9bc975131f4ec95caaf61", "title": "Closed and Open-World Person Re-Identification and Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227416", "http://doi.org/10.1109/DICTA.2017.8227416"]}, {"id": "0b0c4641ed1b6d18a1f0789485484d97c1c8cccd", "title": "Re-ranking pedestrian re-identification with multiple Metrics", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6654-5"]}, {"id": "01381e2faeb26489ae9c24c84c42df33901cfe61", "title": "Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05165.pdf"], "doi": []}, {"id": "73a1c6815c0ef4d62cbdb7a73e84d7dcd370b50b", "title": "Fusion of appearance and motion-based sparse representations for multi-shot person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.11.073"]}, {"id": "441e7df66fe6052a6b770c3aeca4acd8dea98643", "title": "PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.06011.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "ae4d06143a6b46ffaf5d228b1fa464dc322ddc18", "title": "R 4-A . 3 : Human Detection & Re-Identification for Mass Transit Environments", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/41dd/d29d9e56bb87b9f988afc75cd597657b2600.pdf"], "doi": []}, {"id": "2fdb3576715829aa9bbaf74825236bbb71d06f1a", "title": "Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01911.pdf"], "doi": []}, {"id": "f1df5f74477658df45814743f2e605656e8ac16e", "title": "See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14514/1/%E8%AE%BA%E6%96%87%20See%20the%20Forest%20for%20the%20Trees%20Joint%20Spatial%20and%20Temporal%20Recurrent%20Neural%20Networks%20for%20Video-based%20Person%20Re-identfication.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_See_the_Forest_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100200", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.717", "http://doi.org/10.1109/CVPR.2017.717"]}, {"id": "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "title": "Multi-type attributes driven multi-camera person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.005"]}, {"id": "9836ebbef8ba972af323e20ba7667e2d03105895", "title": "A Neuromorphic Person Re-Identification Framework for Video Surveillance", "year": "2017", "pdf": ["http://dspace.nitrkl.ac.in/dspace/bitstream/2080/2759/1/IEEEAccess_V5_6471-6482_ANanda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885600", "http://doi.org/10.1109/ACCESS.2017.2686438"]}, {"id": "2c98300103c86401c979ec158a659fb07fd2a36e", "title": "Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation", "year": "2018", "pdf": ["http://crabwq.github.io/pdf/2018%20Bike-Person%20Re-Identification%20A%20Benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8476557", "http://doi.org/10.1109/ACCESS.2018.2872804"]}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "5f1019f26479545a6f2f9c364b995579e283d2ce", "title": "Multi-shot Person Re-Identification Using Part Appearance Mixture", "year": "2017", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/furqanWACV17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926656", "http://doi.org/10.1109/WACV.2017.73"]}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "16f1a35d0149482d6b2b67df58b21b68622e6b9c", "title": "Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics", "year": "2016", "pdf": ["http://ijcai.org/Proceedings/16/Papers/501.pdf", "https://www.ijcai.org/Proceedings/16/Papers/501.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424182", "http://doi.org/10.1109/TIP.2018.2861366", "http://www.ijcai.org/Abstract/16/501", "https://www.ncbi.nlm.nih.gov/pubmed/30072322"]}, {"id": "d6e8930b3758e415a09238aae4a129bbf2d5468b", "title": "A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600306", "http://doi.org/10.1109/ACCESS.2019.2890836"]}, {"id": "989d7ee9b43a528f99f33a9f92d16ced735019d1", "title": "Identity Alignment by Noisy Pixel Removal", "year": "2017", "pdf": [], "doi": []}, {"id": "6c518aabdbba2c073eab6a3bb4120023851e524c", "title": "Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c51/8aabdbba2c073eab6a3bb4120023851e524c.pdf"], "doi": []}, {"id": "34d784636e2a8078a6c517f6a9b132b31c2ab3d2", "title": "Recognition of a Person Wearing Sport Shoes or High Heels through Gait Using Two Types of Sensors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/34d7/84636e2a8078a6c517f6a9b132b31c2ab3d2.pdf"], "doi": []}, {"id": "7bcd98ee2df3d14eae7bbed713208cb7da7b5db0", "title": "Unsupervised data association for metric learning in the context of multi-shot person re-identification", "year": "2016", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/FurqanAVSS2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738058", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738058", "http://doi.org/10.1109/AVSS.2016.7738058"]}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "6a4dbd2db0e09a4f3aab3d2602db3176f825d8f9", "title": "Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6a4d/bd2db0e09a4f3aab3d2602db3176f825d8f9.pdf"], "doi": []}, {"id": "61470aaccabd195a361112d38d80d3779498f784", "title": "Stepwise Metric Promotion for Unsupervised Video Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Stepwise_Metric_Promotion_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237528", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.266", "http://doi.org/10.1109/ICCV.2017.266"]}, {"id": "f7bf5b6b4c45a1df022c73a234a65ae77a3eab4a", "title": "Illumination and scale invariant relevant visual features with hypergraph-based learning for multi-shot person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4875-7"]}, {"id": "4d48f40d4599dcebd3b31667cc113e140f95607d", "title": "Enhancing Person Re-Identification Based on Recurrent Feature Aggregation Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337516"]}, {"id": "69ee78388e0f40941496ab92efe3e0fa065ad22e", "title": "Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69ee/78388e0f40941496ab92efe3e0fa065ad22e.pdf"], "doi": []}, {"id": "f18fe123e9017f3a9ac7cd140560a30b5a9b82c2", "title": "Improving Text-Based Person Search by Spatial Matching and Adaptive Threshold", "year": "2018", "pdf": ["https://www.cs.rochester.edu/~cxu22/p/wacv2018_tpsearch_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354312", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00208", "http://doi.org/10.1109/WACV.2018.00208"]}, {"id": "f31c9328b5b4678388c19a39064a8056313f7cf4", "title": "Two-Stream Multi-Rate Recurrent Neural Network for Video-Based Pedestrian Re-Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f31c/9328b5b4678388c19a39064a8056313f7cf4.pdf"], "doi": []}, {"id": "dbec415ba09ab66ea5855aaa1267796b75ef7e7b", "title": "Person Re-identification in Appearance Impaired Scenarios", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00367.pdf"], "doi": []}, {"id": "2f529605ed776d4fbeac2d73054247b495504ac7", "title": "Person Re-identification for Real-world Surveillance Systems", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05975.pdf"], "doi": []}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "76bce0419c3cb063032b1a4a53cfc618c093629e", "title": "Identifying Same Persons from Temporally Synchronized Videos Taken by Multiple Wearable Cameras", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Zheng_Identifying_Same_Persons_CVPR_2016_paper.pdf", "https://cse.sc.edu/~songwang/document/chalearn16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789596", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.106", "http://doi.org/10.1109/CVPRW.2016.106"]}, {"id": "2a8c909e41f2653cc6f24449af97ea599a6f545e", "title": "Low resolution vehicle re-identification based on appearance features for wide area motion imagery", "year": "2016", "pdf": ["http://akme-a2.iosb.fraunhofer.de/EatThisGoogleScholar/2016_Low%20resolution%20vehicle%20re-identification%20based%20on%20appearance%20features%20for%20wide%20area%20motion%20imagery.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470114", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2016.7470114", "http://doi.org/10.1109/WACVW.2016.7470114"]}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "35e15c8aa2a3f017462a64b5ef940baf5993480f", "title": "Top-Push Video-Based Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.08683.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "e0027a30bef2d84d33eb3d0d62d9ca4806a53230", "title": "A Two Stream Siamese Convolutional Neural Network for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Chung_A_Two_Stream_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.218", "http://doi.org/10.1109/ICCV.2017.218"]}, {"id": "50cbe0eb6ff6fac20629e86056d8d2e7d991ce52", "title": "Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Learning_View-Invariant_Features_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237573", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.311", "http://doi.org/10.1109/ICCV.2017.311"]}, {"id": "b2c52de097b4e903a1ed487ac8476971f3d52a34", "title": "3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.10222.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "e3466e5ba37f33474eff37555ac274cf098621cc", "title": "Person Reidentification in a Distributed Camera Network Framework", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7479516", "http://doi.org/10.1109/TCYB.2016.2568264", "https://www.ncbi.nlm.nih.gov/pubmed/27249845", "https://www.wikidata.org/entity/Q50634998"]}, {"id": "9dea76d985e50f2b34391f7277488a2dc31ebaf3", "title": "Person re-identification: Attribute-based feature evaluation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8323991"]}, {"id": "7bb929b8ff2f83de91318865232819be8b13fbe5", "title": "Discriminant Context Information Analysis for Post-Ranking Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815412", "http://doi.org/10.1109/TIP.2017.2652725", "https://www.ncbi.nlm.nih.gov/pubmed/28092558", "https://www.wikidata.org/entity/Q39018259"]}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "83c19722450e8f7dcb89dabb38265f19efafba27", "title": "A framework with updateable joint images re-ranking for Person Re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02983.pdf"], "doi": []}, {"id": "25bb4212af72d64ec20cac533f58f7af1472e057", "title": "Person Re-Identification by Camera Correlation Aware Feature Augmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.08837.pdf"], "doi": []}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "5bb24d1250df62a56cab1445f1d8c5c61269b785", "title": "Measuring the Temporal Behavior of Real-World Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05499.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/market_1501.json b/site/datasets/unknown/market_1501.json index 643359b1..e9ceccf0 100644 --- a/site/datasets/unknown/market_1501.json +++ b/site/datasets/unknown/market_1501.json @@ -1 +1 @@ -{"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "citations": [{"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "58888b30e9123c1b1709be1efa92898e090d7bd2", "title": "Person Re-Identification by Discriminative Selection in Video Ranking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06260.pdf"], "doi": []}, {"id": "fe54a5a10288648f3bd0a71b053cdb896716b552", "title": "Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04419.pdf"], "doi": []}, {"id": "acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca", "title": "Person Re-identification in Identity Regression Space", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09695.pdf"], "doi": []}, {"id": "ca1db9dc493a045e3fadf8d8209eaa4311bbdc70", "title": "Effective Image Retrieval via Multilinear Multi-index Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09304.pdf"], "doi": []}, {"id": "bb3d634c5c021de7c2ba10b073c63171f7610c6c", "title": "Multi-shot Pedestrian Re-identification via Sequential Decision Making", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578807"]}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "07c6744e25ed01967e448a397f5d7e9d540345c3", "title": "Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05003.pdf"], "doi": []}, {"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "c155d39ccff4571fa62f3d164c607544bfb3ed4c", "title": "Deep Global And Local Saliency Learning With New Re-Ranking For Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551509"]}, {"id": "6a167375410115d83be377de1f9714929f301b00", "title": "End-to-End Correspondence and Relationship Learning of Mid-Level Deep Features for Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227426", "http://doi.org/10.1109/DICTA.2017.8227426"]}, {"id": "05a6a40c840c069631a825509f3095697592e1c4", "title": "IAN: The Individual Aggregation Network for Person Search", "year": "2019", "pdf": ["https://arxiv.org/pdf/1705.05552.pdf"], "doi": []}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "2c98300103c86401c979ec158a659fb07fd2a36e", "title": "Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation", "year": "2018", "pdf": ["http://crabwq.github.io/pdf/2018%20Bike-Person%20Re-Identification%20A%20Benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8476557", "http://doi.org/10.1109/ACCESS.2018.2872804"]}, {"id": "489decd84645b77d31001d17a66abb92bb96c731", "title": "Learning View-Specific Deep Networks for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11333.pdf"], "doi": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "f7a7b1dc7a4a7adb5e0d612b2dc86aa32ce80ca2", "title": "RPIfield: A New Dataset for Temporally Evaluating Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575417"]}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"id": "b82a4a0457170258aaf622b81e6f739a220398eb", "title": "Probe Strongly Similar Neutral Strongly Dissimilar Quasi-similar Quasi-dissimilar Push Pull", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b82a/4a0457170258aaf622b81e6f739a220398eb.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"], "doi": []}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "d8949f4f4085b15978e20ed7c5c34a080dd637f2", "title": "Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Chen_Deep_Spatial-Temporal_Fusion_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014925", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.191", "http://doi.org/10.1109/CVPRW.2017.191"]}, {"id": "6a9c3011b5092daa1d0cacda23f20ca4ae74b902", "title": "Fast and Accurate Person Re-Identification with RMNet.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02465.pdf"], "doi": []}, {"id": "7229bf0f7111c6a2856eea30c367ede3b3cc799f", "title": "Large-scale person re-identification as retrieval", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019485", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019485", "http://doi.org/10.1109/ICME.2017.8019485"]}, {"id": "53492cb14b33a26b10c91102daa2d5a2a3ed069d", "title": "Improving Online Multiple Object tracking with Deep Metric Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07592.pdf"], "doi": []}, {"id": "c7cda3ae7c301080d0f062b11452e12c0272f8cf", "title": "Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8263222", "http://doi.org/10.1109/ACCESS.2018.2795020"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "title": "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08115.pdf"], "doi": []}, {"id": "441e7df66fe6052a6b770c3aeca4acd8dea98643", "title": "PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.06011.pdf"], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "6cde93a5288e84671a7bee98cf6c94037f42da42", "title": "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578208"]}, {"id": "1bdb09190fc0c66f7e1a6deb7a0ebbaba6b2a42c", "title": "Voronoi-Based Compact Image Descriptors: Efficient Region-of-Interest Retrieval With VLAD and Deep-Learning-Based Descriptors", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08906.pdf"], "doi": []}, {"id": "5645f567d83bacf318c9b8c4adb5e508b713e466", "title": "Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": [], "doi": []}, {"id": "35184b2891ca17a8b1e5fe45b319336d00a2a4c9", "title": "Video Person Re-Identification by Temporal Residual Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07918.pdf"], "doi": []}, {"id": "79c2d4a2f802b1df52096154484362aec06290e5", "title": "Person Re-Identification with a Body Orientation-Specific Convolutional Neural Network", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/17db/741725b9f8406f69b27a117e99bee1a9a323.pdf"], "doi": []}, {"id": "3f95710d17556d5064bda289dea5adbce2777a59", "title": "Eliminating Background-bias for Robust Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578705"]}, {"id": "32dc3e04dea2306ec34ca3f39db27a2b0a49e0a1", "title": "moM: Mean of Moments Feature for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w21/Gou_moM_Mean_of_ICCV_2017_paper.pdf", "http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/MengranGou_ICCVW17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265364", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.154", "http://doi.org/10.1109/ICCVW.2017.154"]}, {"id": "7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf", "title": "Hierarchical Gaussian Descriptors with Application to Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04318.pdf"], "doi": []}, {"id": "4cf5437ef31e587435ba1531da9109d714c0ee3e", "title": "Vehicle Re-identification Using Quadruple Directional Deep Learning Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05163.pdf"], "doi": []}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "d2b86b6dc93631990e21a12278e77f002fb4b116", "title": "Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b8/6b6dc93631990e21a12278e77f002fb4b116.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "218603147709344d4ff66625d83603deee2854bf", "title": "Learning Deep Embeddings with Histogram Loss", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00822.pdf"], "doi": []}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "1565bf91f8fdfe5f5168a5050b1418debc662151", "title": "One-pass Person Re-identification by Sketch Online Discriminant Analysis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.03368.pdf"], "doi": []}, {"id": "b94e57ee9278f06c65a96ce1b586cb7a5b2b7fbb", "title": "Group Re-identification via Unsupervised Transfer of Sparse Features Encoding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09173.pdf"], "doi": []}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "5fdb3533152f9862e3e4c2282cd5f1400af18956", "title": "A Variational U-Net for Conditional Appearance and Shape Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04694.pdf"], "doi": []}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "850d2697fec9c2bb434907db1c0a11e200f32dbe", "title": "Improving Person Re-identification by Body Parts Segmentation Generated by GAN", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489450", "http://doi.org/10.1109/IJCNN.2018.8489450"]}, {"id": "1c1e4415f0acf5d536c9579117d326471f0b678b", "title": "Temporal Model Adaptation for Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07216.pdf"], "doi": []}, {"id": "41d3603bebd818b79590383d94b5b36349171289", "title": "Unsupervised Person Image Synthesis in Arbitrary Poses", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578997"]}, {"id": "abc8638968909ab0fdfbf1049009082df554a49e", "title": "Large-scale vehicle re-identification in urban surveillance videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7553002", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7553002", "http://doi.org/10.1109/ICME.2016.7553002"]}, {"id": "b2efa9a9d996b396317e94d26add673bbf804bca", "title": "RGB-Infrared Cross-Modality Person Re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237837"]}, {"id": "50245be68e70e8447610d6fb304bf1c49cf2feda", "title": "Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237375"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "title": "Features for Multi-target Multi-camera Tracking and Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578730"]}, {"id": "1060e223710a9472ffa5bb68bbb4d629014f7dbf", "title": "Title of thesis: REAL-TIME POSE BASED HUMAN DETECTION AND RE-IDENTIFICATION WITH A SINGLE CAMERA FOR ROBOT PERSON FOLLOWING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1060/e223710a9472ffa5bb68bbb4d629014f7dbf.pdf"], "doi": []}, {"id": "38feccdbb8d98e325cac41edfbfb3cab866fd968", "title": "Recurrent Models of Visual Co-Attention for Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598867"]}, {"id": "ae4d06143a6b46ffaf5d228b1fa464dc322ddc18", "title": "R 4-A . 3 : Human Detection & Re-Identification for Mass Transit Environments", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/41dd/d29d9e56bb87b9f988afc75cd597657b2600.pdf"], "doi": []}, {"id": "2056ba48e687d619c0ce69d0be323d48c5b90701", "title": "Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09156.pdf"], "doi": []}, {"id": "b76f0271893b93ed28c32d32a5a7200f2db95ddc", "title": "Person Re-identification Using Two-Stage Convolutional Neural Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545498"]}, {"id": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.pdf"], "doi": []}, {"id": "7c9d8593cdf2f8ba9f27906b2b5827b145631a0b", "title": "MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08534.pdf"], "doi": []}, {"id": "998bb8720fe25c6b38fbc70b1142fafde46e39e5", "title": "Joint Feature and Similarity Deep Learning for Vehicle Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424333", "http://doi.org/10.1109/ACCESS.2018.2862382"]}, {"id": "5961e59733cc7692ea86e9777039e6da2349ac1d", "title": "Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575514"]}, {"id": "f3196b1bcd1af733347edc923d43018724fc73c9", "title": "Person re-identification using visual attention", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07336.pdf"], "doi": []}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "ee62cff7f027a31c3bd7f313bfdc04e7d79eb04a", "title": "Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhao_Spindle_Net_Person_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099586", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.103", "http://doi.org/10.1109/CVPR.2017.103"]}, {"id": "71a353116bcd6c23333d311a5e54e4e6a48b7cd7", "title": "A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578330"]}, {"id": "c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9", "title": "Ensemble Feature for Person Re-Identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05798.pdf"], "doi": []}, {"id": "ce8013ee63851ffbf14889a9b7cf3f907df40b9b", "title": "Challenges on Large Scale Surveillance Video Analysis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575333"]}, {"id": "9812542cae5a470ea601e7c3a871331694105093", "title": "Person Re-identification by Deep Learning Attribute-Complementary Information", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014920", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.186", "http://doi.org/10.1109/CVPRW.2017.186"]}, {"id": "ba12b1a8ab4995efb1aa1560bce19794a0358dec", "title": "Unsupervised Data Uncertainty Learning in Visual Retrieval Systems", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02586.pdf"], "doi": []}, {"id": "8961677300a9ee30ca51e1a3cf9815b4a162265b", "title": "Deep Representation Learning with Part Loss for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00798.pdf"], "doi": []}, {"id": "e8dc52f700f7aed02440b4b1441ff62213eff107", "title": "Scalable and Effective Deep CCA via Soft Decorrelation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578259"]}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "33ec945e6a4ae7fe0268ffe142098ea9caf6588f", "title": "Deep Person Re-Identification with Improved Embedding", "year": "2017", "pdf": [], "doi": []}, {"id": "c2206c3b3cafd1cf1694b0a231c80ab806f0f59c", "title": "A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions", "year": "2017", "pdf": [], "doi": []}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "4953dc81247efe5a1c28c79fd1d4ab69bbb9f21c", "title": "Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04179.pdf"], "doi": []}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "fbec9ce3d6aedaedbbf8ff6c3781d8d8b5e39960", "title": "Person Re-identification Using Group Context", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/34cd/99528d873e842083abec429457233fdb3226.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "5386c181d0b294d54123f001678d1125ca7b76dd", "title": "Multi-pseudo Regularized Label for Generated Samples in Person Re-Identification", "year": "2018", "pdf": [], "doi": []}, {"id": "1e83e2abcb258cd62b160e3f31a490a6bc042e83", "title": "Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02492.pdf"], "doi": []}, {"id": "e7df0b3c8befa4263971d1b645545ebecdacec06", "title": "Disentangled Person Image Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578116"]}, {"id": "34a6762ed8e92612ba4fdf02ee95d2ee0d587908", "title": "Incremental Learning in Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06281.pdf"], "doi": []}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "989d7ee9b43a528f99f33a9f92d16ced735019d1", "title": "Identity Alignment by Noisy Pixel Removal", "year": "2017", "pdf": [], "doi": []}, {"id": "0a058caa89d195930224148d3d2897c0c08fc668", "title": "Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10591.pdf"], "doi": []}, {"id": "c0153b92a59fe0cb6405c888dd536d44d34a92fb", "title": "Enhancing Detection Model for Multiple Hypothesis Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w34/papers/Chen_Enhancing_Detection_Model_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015000", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.266", "http://doi.org/10.1109/CVPRW.2017.266"]}, {"id": "7627ddf1a676dd28a10e9f633d01611a1ab4a250", "title": "Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07749.pdf"], "doi": []}, {"id": "463a1ca5f819af35e71ae47ea0e57293691507d3", "title": "Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/463a/1ca5f819af35e71ae47ea0e57293691507d3.pdf"], "doi": []}, {"id": "64a6c30ca95e85427c56acb4c1c20f62c6ec0709", "title": "PersonNet: Person Re-identification with Deep Convolutional Neural Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07255.pdf"], "doi": []}, {"id": "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "title": "Human-In-The-Loop Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01345.pdf"], "doi": []}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "title": "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11334.pdf"], "doi": []}, {"id": "684c8acd49148020e9bf9c4f4aefc03708a6dac0", "title": "Video-Based Person Re-Identification With Accumulative Motion Context", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.00193.pdf"], "doi": []}, {"id": "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "title": "Multi-type attributes driven multi-camera person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.005"]}, {"id": "8cd61bb3469aa253d4411ef2295b50683a031d17", "title": "Random Occlusion-recovery for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237308"]}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "63e1ce7de0fdbce6e03d25b5001c670c30139aa8", "title": "Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07791.pdf"], "doi": []}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "33c1ab4084d4df64602ccaa1de4204e05c7e98d3", "title": "Deep Mutual Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578552"]}, {"id": "c91406fea53e869e431dc9a799b989321a66c9da", "title": "Point to Set Similarity Based Deep Feature Learning for Person Re-Identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Point_to_Set_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100017", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.534", "http://doi.org/10.1109/CVPR.2017.534"]}, {"id": "5bab0828e5dfbc13d2c2e3f0532edbb002995e64", "title": "Vehicle Re-identification with the Space-Time Prior", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575404"]}, {"id": "b5c3df6e0e3b25411151d92d431908adceca1a23", "title": "Person Re-Identification by Pose Invariant Deep Metric Learning With Improved Triplet Loss", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8522036", "http://doi.org/10.1109/ACCESS.2018.2879490"]}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "c0e9d06383442d89426808d723ca04586db91747", "title": "Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0e9/d06383442d89426808d723ca04586db91747.pdf"], "doi": []}, {"id": "61470aaccabd195a361112d38d80d3779498f784", "title": "Stepwise Metric Promotion for Unsupervised Video Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Stepwise_Metric_Promotion_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237528", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.266", "http://doi.org/10.1109/ICCV.2017.266"]}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "7f8d4494aba2a2b11a88bf7de4b8879b047dd69b", "title": "Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578661", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00563", "http://doi.org/10.1109/CVPR.2018.00563"]}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "b3e720b349f97243bf7bd64f39c54d25525ef14d", "title": "An Improved Method for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3282301"]}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17325", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17325/16308"]}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "e87b2fb0d4e8403a1a63153a3330fed177cdff49", "title": "A Tale of Two Losses: Discriminative Deep Feature Learning for Person Re-Identification", "year": "2017", "pdf": [], "doi": []}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "f1df5f74477658df45814743f2e605656e8ac16e", "title": "See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14514/1/%E8%AE%BA%E6%96%87%20See%20the%20Forest%20for%20the%20Trees%20Joint%20Spatial%20and%20Temporal%20Recurrent%20Neural%20Networks%20for%20Video-based%20Person%20Re-identfication.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_See_the_Forest_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100200", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.717", "http://doi.org/10.1109/CVPR.2017.717"]}, {"id": "c4384c8b0befc5d81ebfa012f2b69091f65218ac", "title": "MultiMedia Modeling", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-05716-9"]}, {"id": "31c0968fb5f587918f1c49bf7fa51453b3e89cf7", "title": "Deep Transfer Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05244.pdf"], "doi": []}, {"id": "bb4f83458976755e9310b241a689c8d21b481238", "title": "Improving Face Verification and Person Re-Identification Accuracy Using Hyperplane Similarity", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Jones_Improving_Face_Verification_ICCV_2017_paper.pdf", "http://www.merl.com/publications/docs/TR2017-155.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265393", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.183", "http://doi.org/10.1109/ICCVW.2017.183"]}, {"id": "384908bfad5b9e81d605344abcb9e99d8b0f4027", "title": "Improving Deep Models of Person Re-identification for Cross-Dataset Usage", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08526.pdf"], "doi": []}, {"id": "83c19722450e8f7dcb89dabb38265f19efafba27", "title": "A framework with updateable joint images re-ranking for Person Re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02983.pdf"], "doi": []}, {"id": "25b83cffddff334d78c55db4d67c65b1d8999b2f", "title": "Optimization of Person Re-Identification through Visual Descriptors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/25b8/3cffddff334d78c55db4d67c65b1d8999b2f.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "5a08b451b0397782d81edb5b614bb2a523c6be98", "title": "Learning Correspondence Structures for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06931.pdf"], "doi": []}, {"id": "4c7a8bcd1f15b6a0f6416f20564adef71069785e", "title": "Deformable GANs for Pose-Based Human Image Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578457"]}, {"id": "d97a0343abdb6ff2cc1492c4c952654011736709", "title": "Exploiting Transitivity for Learning Person Re-identification Models on a Budget", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578836"]}, {"id": "13e3a68dd49b2098c2cad2acc799953abdcaa3ee", "title": "Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1135-x"]}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "9a9830c6edca29ca91f7bbc2683eb9ce43136469", "title": "Deep Multi-View Learning with Stochastic Decorrelation Loss", "year": "2017", "pdf": [], "doi": []}, {"id": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.pdf"], "doi": []}, {"id": "7bb929b8ff2f83de91318865232819be8b13fbe5", "title": "Discriminant Context Information Analysis for Post-Ranking Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815412", "http://doi.org/10.1109/TIP.2017.2652725", "https://www.ncbi.nlm.nih.gov/pubmed/28092558", "https://www.wikidata.org/entity/Q39018259"]}, {"id": "6b21214562e3cdb3b7b9027f0f88918f6ee24c52", "title": "GDMN: Group Decision-Making Network for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8506353"]}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "f05d2e412e6758510f1a6c8321fd0042ce0e6151", "title": "Deep feature learning for person re-identification in a large-scale crowdsourced environment", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11227-017-2221-5"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "317f5a56519df95884cce81cfba180ee3adaf5a5", "title": "Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07295.pdf"], "doi": []}, {"id": "f741cba061655581f6fbb628613d0669c4bdecd5", "title": "Deep Cosine Metric Learning for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354191"]}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "123286df95d93600f4281c60a60c69121c6440c7", "title": "Deep Self-Paced Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.05711.pdf"], "doi": []}, {"id": "7b2e0c87aece7ff1404ef2034d4c5674770301b2", "title": "Discriminative Feature Learning with Foreground Attention for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01455.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "cb8567f074573a0d66d50e75b5a91df283ccd503", "title": "Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.05512.pdf"], "doi": []}, {"id": "e746447afc4898713a0bcf2bb560286eb4d20019", "title": "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02074.pdf"], "doi": []}, {"id": "4e12080616da4b540c8f79db2dd1b654cd8345ce", "title": "Pose-Driven Deep Models for Person Re-Identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "a57e735f3582365dea89a202bdbcc43e53af6ad4", "title": "Enhancing person re-identification by late fusion of low-, mid- and high-level features", "year": "2017", "pdf": ["http://vbn.aau.dk/files/264634343/re_id.pdf"], "doi": ["https://doi.org/10.1049/iet-bmt.2016.0200"]}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "fde900199b2aa6d8a5364342885bdb2f5f7073c2", "title": "Deep Structured Prediction: A New Formulation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396970", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00014", "http://doi.org/10.1109/MIPR.2018.00014"]}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "d497543834f23f72f4092252b613bf3adaefc606", "title": "Density-Adaptive Kernel based Re-Ranking for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07698.pdf"], "doi": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "a0cc5f73a37723a6dd465924143f1cb4976d0169", "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578114"]}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"], "doi": []}, {"id": "e1dcc3946fa750da4bc05b1154b6321db163ad62", "title": "Similarity Learning with Spatial Constraints for Person Re-identification", "year": "2016", "pdf": ["http://gr.xjtu.edu.cn/c/document_library/get_file?folderId=1540809&name=DLFE-80365.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Similarity_Learning_With_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Chen_Similarity_Learning_With_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780511", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.142", "http://doi.org/10.1109/CVPR.2016.142"]}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "25bb4212af72d64ec20cac533f58f7af1472e057", "title": "Person Re-Identification by Camera Correlation Aware Feature Augmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.08837.pdf"], "doi": []}, {"id": "ad3be20fe0106d80c567def71fef01146564df4b", "title": "Learning Deep Disentangled Embeddings With the F-Statistic Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05312.pdf"], "doi": []}, {"id": "a94b832facb57ea37b18927b13d2dd4c5fa3a9ea", "title": "Domain transfer convolutional attribute embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09733.pdf"], "doi": []}, {"id": "76fb9e2963928bf8e940944d45c13d52db947702", "title": "Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00478.pdf"], "doi": []}, {"id": "5bb24d1250df62a56cab1445f1d8c5c61269b785", "title": "Measuring the Temporal Behavior of Real-World Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05499.pdf"], "doi": []}, {"id": "63ac85ec1bff6009bb36f0b24ef189438836bc91", "title": "Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.01595.pdf"], "doi": []}, {"id": "2102915d0c51cfda4d85133bd593ecb9508fa4bb", "title": "Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.03153.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468189", "http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "46ca382cf66af47c356c2cebbd967bbe01b1a735", "title": "Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578837"]}, {"id": "43001722a7b31427d1ee16ef47c0482fdf552011", "title": "Review of Person Re-identification Methods", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560849"]}, {"id": "4f6e1319c795e7ea1ec220a007c04e9cf37ff4e9", "title": "Unsupervised Cross-Dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578927"]}, {"id": "6ce6da7a6b2d55fac604d986595ba6979580393b", "title": "Cross Domain Knowledge Transfer for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06026.pdf"], "doi": []}, {"id": "12d62f1360587fdecee728e6c509acc378f38dc9", "title": "Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06118.pdf"], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "9b7c6ef333c6e64f2dfa97a1a3614d0775d81a8a", "title": "A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03567.pdf"], "doi": []}, {"id": "ef7191fd43d120b77d3d367f8a6e11ae38ca5212", "title": "Person reidentification by semisupervised dictionary rectification learning with retraining module", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/60d7/5d32d345c519fa5c0d8d6b6eb62e633a8d13.pdf"], "doi": []}, {"id": "6562c40932ea734f46e5068555fbf3a185a345de", "title": "Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.00409.pdf"], "doi": []}, {"id": "3529310a5b3a8b5a576651dcc994ff1755e8560c", "title": "Video-Based Person Re-identification by Deep Feature Guided Pooling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014922"]}, {"id": "d950af49c44bc5d9f4a5cc1634e606004790b1e5", "title": "Divide and Fuse: A Re-ranking Approach for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04169.pdf"], "doi": []}, {"id": "61b0cfd75f5bce59cf79abb7b602e404fa5584e7", "title": "Person Re-Identification by Semantic Region Representation and Topology Constraint", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06280.pdf"], "doi": []}, {"id": "6d902439b736a7546dd8872b307fb760087ca629", "title": "SIFT Meets CNN: A Decade Survey of Instance Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.01807.pdf"], "doi": []}, {"id": "fd0e1fecf7e72318a4c53463fd5650720df40281", "title": "End-to-End Comparative Attention Networks for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04404.pdf"], "doi": []}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.pdf"], "doi": []}, {"id": "17092ce59ed56eb5fcbf467a889c7ec3e930f4c2", "title": "Mask-Guided Contrastive Attention Model for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578227"]}, {"id": "e278218ba1ff1b85d06680e99b08e817d0962dab", "title": "Tracking Persons-of-Interest via Unsupervised Representation Adaptation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02139.pdf"], "doi": []}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "b6fd381fa41a2d03e170ca686f191ab1e4b69615", "title": "Continuous, Full-scope, Spatio-temporal Tracking Metric based on KL-divergence", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638328"]}, {"id": "b2c52de097b4e903a1ed487ac8476971f3d52a34", "title": "3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.10222.pdf"], "doi": []}, {"id": "44fe6787f864812e666fbed8c18e18ad0eff190f", "title": "Long-Term Person Re-identification Using True Motion from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354164", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00060", "http://doi.org/10.1109/WACV.2018.00060"]}, {"id": "2dcbd8f2533dd08d09987bd069eeacbd6024731d", "title": "Multiple metric learning based on bar-shape descriptor for person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.011"]}, {"id": "a71185a29a989d9ef1bb6f2a3e225f1746640a89", "title": "Consistent Iterative Multi-view Transfer Learning for Person Re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265341", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.132", "http://doi.org/10.1109/ICCVW.2017.132"]}]}
\ No newline at end of file +{"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "citations": [{"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "58888b30e9123c1b1709be1efa92898e090d7bd2", "title": "Person Re-Identification by Discriminative Selection in Video Ranking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06260.pdf"], "doi": []}, {"id": "fe54a5a10288648f3bd0a71b053cdb896716b552", "title": "Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04419.pdf"], "doi": []}, {"id": "acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca", "title": "Person Re-identification in Identity Regression Space", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09695.pdf"], "doi": []}, {"id": "ca1db9dc493a045e3fadf8d8209eaa4311bbdc70", "title": "Effective Image Retrieval via Multilinear Multi-index Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09304.pdf"], "doi": []}, {"id": "bb3d634c5c021de7c2ba10b073c63171f7610c6c", "title": "Multi-shot Pedestrian Re-identification via Sequential Decision Making", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578807"]}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "07c6744e25ed01967e448a397f5d7e9d540345c3", "title": "Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05003.pdf"], "doi": []}, {"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "c155d39ccff4571fa62f3d164c607544bfb3ed4c", "title": "Deep Global And Local Saliency Learning With New Re-Ranking For Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551509"]}, {"id": "6a167375410115d83be377de1f9714929f301b00", "title": "End-to-End Correspondence and Relationship Learning of Mid-Level Deep Features for Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227426", "http://doi.org/10.1109/DICTA.2017.8227426"]}, {"id": "05a6a40c840c069631a825509f3095697592e1c4", "title": "IAN: The Individual Aggregation Network for Person Search", "year": "2019", "pdf": ["https://arxiv.org/pdf/1705.05552.pdf"], "doi": []}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "2c98300103c86401c979ec158a659fb07fd2a36e", "title": "Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation", "year": "2018", "pdf": ["http://crabwq.github.io/pdf/2018%20Bike-Person%20Re-Identification%20A%20Benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8476557", "http://doi.org/10.1109/ACCESS.2018.2872804"]}, {"id": "489decd84645b77d31001d17a66abb92bb96c731", "title": "Learning View-Specific Deep Networks for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11333.pdf"], "doi": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "f7a7b1dc7a4a7adb5e0d612b2dc86aa32ce80ca2", "title": "RPIfield: A New Dataset for Temporally Evaluating Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575417"]}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"id": "b82a4a0457170258aaf622b81e6f739a220398eb", "title": "Probe Strongly Similar Neutral Strongly Dissimilar Quasi-similar Quasi-dissimilar Push Pull", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b82a/4a0457170258aaf622b81e6f739a220398eb.pdf"], "doi": []}, {"id": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"], "doi": []}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "d8949f4f4085b15978e20ed7c5c34a080dd637f2", "title": "Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Chen_Deep_Spatial-Temporal_Fusion_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014925", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.191", "http://doi.org/10.1109/CVPRW.2017.191"]}, {"id": "6a9c3011b5092daa1d0cacda23f20ca4ae74b902", "title": "Fast and Accurate Person Re-Identification with RMNet.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02465.pdf"], "doi": []}, {"id": "7229bf0f7111c6a2856eea30c367ede3b3cc799f", "title": "Large-scale person re-identification as retrieval", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019485", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019485", "http://doi.org/10.1109/ICME.2017.8019485"]}, {"id": "53492cb14b33a26b10c91102daa2d5a2a3ed069d", "title": "Improving Online Multiple Object tracking with Deep Metric Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07592.pdf"], "doi": []}, {"id": "c7cda3ae7c301080d0f062b11452e12c0272f8cf", "title": "Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8263222", "http://doi.org/10.1109/ACCESS.2018.2795020"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "title": "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08115.pdf"], "doi": []}, {"id": "441e7df66fe6052a6b770c3aeca4acd8dea98643", "title": "PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.06011.pdf"], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "6cde93a5288e84671a7bee98cf6c94037f42da42", "title": "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578208"]}, {"id": "1bdb09190fc0c66f7e1a6deb7a0ebbaba6b2a42c", "title": "Voronoi-Based Compact Image Descriptors: Efficient Region-of-Interest Retrieval With VLAD and Deep-Learning-Based Descriptors", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08906.pdf"], "doi": []}, {"id": "5645f567d83bacf318c9b8c4adb5e508b713e466", "title": "Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": [], "doi": []}, {"id": "35184b2891ca17a8b1e5fe45b319336d00a2a4c9", "title": "Video Person Re-Identification by Temporal Residual Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07918.pdf"], "doi": []}, {"id": "79c2d4a2f802b1df52096154484362aec06290e5", "title": "Person Re-Identification with a Body Orientation-Specific Convolutional Neural Network", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/17db/741725b9f8406f69b27a117e99bee1a9a323.pdf"], "doi": []}, {"id": "3f95710d17556d5064bda289dea5adbce2777a59", "title": "Eliminating Background-bias for Robust Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578705"]}, {"id": "32dc3e04dea2306ec34ca3f39db27a2b0a49e0a1", "title": "moM: Mean of Moments Feature for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w21/Gou_moM_Mean_of_ICCV_2017_paper.pdf", "http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/MengranGou_ICCVW17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265364", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.154", "http://doi.org/10.1109/ICCVW.2017.154"]}, {"id": "7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf", "title": "Hierarchical Gaussian Descriptors with Application to Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04318.pdf"], "doi": []}, {"id": "4cf5437ef31e587435ba1531da9109d714c0ee3e", "title": "Vehicle Re-identification Using Quadruple Directional Deep Learning Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05163.pdf"], "doi": []}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "d2b86b6dc93631990e21a12278e77f002fb4b116", "title": "Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b8/6b6dc93631990e21a12278e77f002fb4b116.pdf"], "doi": []}, {"id": "218603147709344d4ff66625d83603deee2854bf", "title": "Learning Deep Embeddings with Histogram Loss", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00822.pdf"], "doi": []}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "1565bf91f8fdfe5f5168a5050b1418debc662151", "title": "One-pass Person Re-identification by Sketch Online Discriminant Analysis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.03368.pdf"], "doi": []}, {"id": "b94e57ee9278f06c65a96ce1b586cb7a5b2b7fbb", "title": "Group Re-identification via Unsupervised Transfer of Sparse Features Encoding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09173.pdf"], "doi": []}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "5fdb3533152f9862e3e4c2282cd5f1400af18956", "title": "A Variational U-Net for Conditional Appearance and Shape Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04694.pdf"], "doi": []}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "850d2697fec9c2bb434907db1c0a11e200f32dbe", "title": "Improving Person Re-identification by Body Parts Segmentation Generated by GAN", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489450", "http://doi.org/10.1109/IJCNN.2018.8489450"]}, {"id": "1c1e4415f0acf5d536c9579117d326471f0b678b", "title": "Temporal Model Adaptation for Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07216.pdf"], "doi": []}, {"id": "41d3603bebd818b79590383d94b5b36349171289", "title": "Unsupervised Person Image Synthesis in Arbitrary Poses", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578997"]}, {"id": "abc8638968909ab0fdfbf1049009082df554a49e", "title": "Large-scale vehicle re-identification in urban surveillance videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7553002", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7553002", "http://doi.org/10.1109/ICME.2016.7553002"]}, {"id": "b2efa9a9d996b396317e94d26add673bbf804bca", "title": "RGB-Infrared Cross-Modality Person Re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237837"]}, {"id": "50245be68e70e8447610d6fb304bf1c49cf2feda", "title": "Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237375"]}, {"id": "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "title": "Features for Multi-target Multi-camera Tracking and Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578730"]}, {"id": "1060e223710a9472ffa5bb68bbb4d629014f7dbf", "title": "Title of thesis: REAL-TIME POSE BASED HUMAN DETECTION AND RE-IDENTIFICATION WITH A SINGLE CAMERA FOR ROBOT PERSON FOLLOWING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1060/e223710a9472ffa5bb68bbb4d629014f7dbf.pdf"], "doi": []}, {"id": "38feccdbb8d98e325cac41edfbfb3cab866fd968", "title": "Recurrent Models of Visual Co-Attention for Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598867"]}, {"id": "ae4d06143a6b46ffaf5d228b1fa464dc322ddc18", "title": "R 4-A . 3 : Human Detection & Re-Identification for Mass Transit Environments", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/41dd/d29d9e56bb87b9f988afc75cd597657b2600.pdf"], "doi": []}, {"id": "2056ba48e687d619c0ce69d0be323d48c5b90701", "title": "Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09156.pdf"], "doi": []}, {"id": "b76f0271893b93ed28c32d32a5a7200f2db95ddc", "title": "Person Re-identification Using Two-Stage Convolutional Neural Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545498"]}, {"id": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.pdf"], "doi": []}, {"id": "7c9d8593cdf2f8ba9f27906b2b5827b145631a0b", "title": "MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08534.pdf"], "doi": []}, {"id": "998bb8720fe25c6b38fbc70b1142fafde46e39e5", "title": "Joint Feature and Similarity Deep Learning for Vehicle Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424333", "http://doi.org/10.1109/ACCESS.2018.2862382"]}, {"id": "5961e59733cc7692ea86e9777039e6da2349ac1d", "title": "Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575514"]}, {"id": "f3196b1bcd1af733347edc923d43018724fc73c9", "title": "Person re-identification using visual attention", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07336.pdf"], "doi": []}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "ee62cff7f027a31c3bd7f313bfdc04e7d79eb04a", "title": "Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhao_Spindle_Net_Person_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099586", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.103", "http://doi.org/10.1109/CVPR.2017.103"]}, {"id": "71a353116bcd6c23333d311a5e54e4e6a48b7cd7", "title": "A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578330"]}, {"id": "c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9", "title": "Ensemble Feature for Person Re-Identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05798.pdf"], "doi": []}, {"id": "ce8013ee63851ffbf14889a9b7cf3f907df40b9b", "title": "Challenges on Large Scale Surveillance Video Analysis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575333"]}, {"id": "9812542cae5a470ea601e7c3a871331694105093", "title": "Person Re-identification by Deep Learning Attribute-Complementary Information", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014920", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.186", "http://doi.org/10.1109/CVPRW.2017.186"]}, {"id": "ba12b1a8ab4995efb1aa1560bce19794a0358dec", "title": "Unsupervised Data Uncertainty Learning in Visual Retrieval Systems", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02586.pdf"], "doi": []}, {"id": "8961677300a9ee30ca51e1a3cf9815b4a162265b", "title": "Deep Representation Learning with Part Loss for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00798.pdf"], "doi": []}, {"id": "e8dc52f700f7aed02440b4b1441ff62213eff107", "title": "Scalable and Effective Deep CCA via Soft Decorrelation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578259"]}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "33ec945e6a4ae7fe0268ffe142098ea9caf6588f", "title": "Deep Person Re-Identification with Improved Embedding", "year": "2017", "pdf": [], "doi": []}, {"id": "c2206c3b3cafd1cf1694b0a231c80ab806f0f59c", "title": "A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions", "year": "2017", "pdf": [], "doi": []}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "4953dc81247efe5a1c28c79fd1d4ab69bbb9f21c", "title": "Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04179.pdf"], "doi": []}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "fbec9ce3d6aedaedbbf8ff6c3781d8d8b5e39960", "title": "Person Re-identification Using Group Context", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/34cd/99528d873e842083abec429457233fdb3226.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "5386c181d0b294d54123f001678d1125ca7b76dd", "title": "Multi-pseudo Regularized Label for Generated Samples in Person Re-Identification", "year": "2018", "pdf": [], "doi": []}, {"id": "1e83e2abcb258cd62b160e3f31a490a6bc042e83", "title": "Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02492.pdf"], "doi": []}, {"id": "e7df0b3c8befa4263971d1b645545ebecdacec06", "title": "Disentangled Person Image Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578116"]}, {"id": "34a6762ed8e92612ba4fdf02ee95d2ee0d587908", "title": "Incremental Learning in Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06281.pdf"], "doi": []}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "989d7ee9b43a528f99f33a9f92d16ced735019d1", "title": "Identity Alignment by Noisy Pixel Removal", "year": "2017", "pdf": [], "doi": []}, {"id": "0a058caa89d195930224148d3d2897c0c08fc668", "title": "Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10591.pdf"], "doi": []}, {"id": "c0153b92a59fe0cb6405c888dd536d44d34a92fb", "title": "Enhancing Detection Model for Multiple Hypothesis Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w34/papers/Chen_Enhancing_Detection_Model_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015000", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.266", "http://doi.org/10.1109/CVPRW.2017.266"]}, {"id": "7627ddf1a676dd28a10e9f633d01611a1ab4a250", "title": "Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07749.pdf"], "doi": []}, {"id": "463a1ca5f819af35e71ae47ea0e57293691507d3", "title": "Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/463a/1ca5f819af35e71ae47ea0e57293691507d3.pdf"], "doi": []}, {"id": "64a6c30ca95e85427c56acb4c1c20f62c6ec0709", "title": "PersonNet: Person Re-identification with Deep Convolutional Neural Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07255.pdf"], "doi": []}, {"id": "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "title": "Human-In-The-Loop Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01345.pdf"], "doi": []}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "title": "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11334.pdf"], "doi": []}, {"id": "684c8acd49148020e9bf9c4f4aefc03708a6dac0", "title": "Video-Based Person Re-Identification With Accumulative Motion Context", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.00193.pdf"], "doi": []}, {"id": "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "title": "Multi-type attributes driven multi-camera person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.005"]}, {"id": "8cd61bb3469aa253d4411ef2295b50683a031d17", "title": "Random Occlusion-recovery for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237308"]}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "63e1ce7de0fdbce6e03d25b5001c670c30139aa8", "title": "Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07791.pdf"], "doi": []}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "33c1ab4084d4df64602ccaa1de4204e05c7e98d3", "title": "Deep Mutual Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578552"]}, {"id": "c91406fea53e869e431dc9a799b989321a66c9da", "title": "Point to Set Similarity Based Deep Feature Learning for Person Re-Identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Point_to_Set_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100017", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.534", "http://doi.org/10.1109/CVPR.2017.534"]}, {"id": "5bab0828e5dfbc13d2c2e3f0532edbb002995e64", "title": "Vehicle Re-identification with the Space-Time Prior", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575404"]}, {"id": "b5c3df6e0e3b25411151d92d431908adceca1a23", "title": "Person Re-Identification by Pose Invariant Deep Metric Learning With Improved Triplet Loss", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8522036", "http://doi.org/10.1109/ACCESS.2018.2879490"]}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "c0e9d06383442d89426808d723ca04586db91747", "title": "Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0e9/d06383442d89426808d723ca04586db91747.pdf"], "doi": []}, {"id": "61470aaccabd195a361112d38d80d3779498f784", "title": "Stepwise Metric Promotion for Unsupervised Video Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Stepwise_Metric_Promotion_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237528", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.266", "http://doi.org/10.1109/ICCV.2017.266"]}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "7f8d4494aba2a2b11a88bf7de4b8879b047dd69b", "title": "Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578661", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00563", "http://doi.org/10.1109/CVPR.2018.00563"]}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "b3e720b349f97243bf7bd64f39c54d25525ef14d", "title": "An Improved Method for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3282301"]}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17325", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17325/16308"]}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "e87b2fb0d4e8403a1a63153a3330fed177cdff49", "title": "A Tale of Two Losses: Discriminative Deep Feature Learning for Person Re-Identification", "year": "2017", "pdf": [], "doi": []}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "f1df5f74477658df45814743f2e605656e8ac16e", "title": "See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14514/1/%E8%AE%BA%E6%96%87%20See%20the%20Forest%20for%20the%20Trees%20Joint%20Spatial%20and%20Temporal%20Recurrent%20Neural%20Networks%20for%20Video-based%20Person%20Re-identfication.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_See_the_Forest_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100200", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.717", "http://doi.org/10.1109/CVPR.2017.717"]}, {"id": "c4384c8b0befc5d81ebfa012f2b69091f65218ac", "title": "MultiMedia Modeling", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-05716-9"]}, {"id": "31c0968fb5f587918f1c49bf7fa51453b3e89cf7", "title": "Deep Transfer Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05244.pdf"], "doi": []}, {"id": "bb4f83458976755e9310b241a689c8d21b481238", "title": "Improving Face Verification and Person Re-Identification Accuracy Using Hyperplane Similarity", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Jones_Improving_Face_Verification_ICCV_2017_paper.pdf", "http://www.merl.com/publications/docs/TR2017-155.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265393", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.183", "http://doi.org/10.1109/ICCVW.2017.183"]}, {"id": "384908bfad5b9e81d605344abcb9e99d8b0f4027", "title": "Improving Deep Models of Person Re-identification for Cross-Dataset Usage", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08526.pdf"], "doi": []}, {"id": "83c19722450e8f7dcb89dabb38265f19efafba27", "title": "A framework with updateable joint images re-ranking for Person Re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02983.pdf"], "doi": []}, {"id": "25b83cffddff334d78c55db4d67c65b1d8999b2f", "title": "Optimization of Person Re-Identification through Visual Descriptors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/25b8/3cffddff334d78c55db4d67c65b1d8999b2f.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "5a08b451b0397782d81edb5b614bb2a523c6be98", "title": "Learning Correspondence Structures for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06931.pdf"], "doi": []}, {"id": "4c7a8bcd1f15b6a0f6416f20564adef71069785e", "title": "Deformable GANs for Pose-Based Human Image Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578457"]}, {"id": "d97a0343abdb6ff2cc1492c4c952654011736709", "title": "Exploiting Transitivity for Learning Person Re-identification Models on a Budget", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578836"]}, {"id": "13e3a68dd49b2098c2cad2acc799953abdcaa3ee", "title": "Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1135-x"]}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "9a9830c6edca29ca91f7bbc2683eb9ce43136469", "title": "Deep Multi-View Learning with Stochastic Decorrelation Loss", "year": "2017", "pdf": [], "doi": []}, {"id": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.pdf"], "doi": []}, {"id": "7bb929b8ff2f83de91318865232819be8b13fbe5", "title": "Discriminant Context Information Analysis for Post-Ranking Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815412", "http://doi.org/10.1109/TIP.2017.2652725", "https://www.ncbi.nlm.nih.gov/pubmed/28092558", "https://www.wikidata.org/entity/Q39018259"]}, {"id": "6b21214562e3cdb3b7b9027f0f88918f6ee24c52", "title": "GDMN: Group Decision-Making Network for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8506353"]}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "f05d2e412e6758510f1a6c8321fd0042ce0e6151", "title": "Deep feature learning for person re-identification in a large-scale crowdsourced environment", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11227-017-2221-5"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "317f5a56519df95884cce81cfba180ee3adaf5a5", "title": "Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07295.pdf"], "doi": []}, {"id": "f741cba061655581f6fbb628613d0669c4bdecd5", "title": "Deep Cosine Metric Learning for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354191"]}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "123286df95d93600f4281c60a60c69121c6440c7", "title": "Deep Self-Paced Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.05711.pdf"], "doi": []}, {"id": "7b2e0c87aece7ff1404ef2034d4c5674770301b2", "title": "Discriminative Feature Learning with Foreground Attention for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01455.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "cb8567f074573a0d66d50e75b5a91df283ccd503", "title": "Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.05512.pdf"], "doi": []}, {"id": "e746447afc4898713a0bcf2bb560286eb4d20019", "title": "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02074.pdf"], "doi": []}, {"id": "4e12080616da4b540c8f79db2dd1b654cd8345ce", "title": "Pose-Driven Deep Models for Person Re-Identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "a57e735f3582365dea89a202bdbcc43e53af6ad4", "title": "Enhancing person re-identification by late fusion of low-, mid- and high-level features", "year": "2017", "pdf": ["http://vbn.aau.dk/files/264634343/re_id.pdf"], "doi": ["https://doi.org/10.1049/iet-bmt.2016.0200"]}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "fde900199b2aa6d8a5364342885bdb2f5f7073c2", "title": "Deep Structured Prediction: A New Formulation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396970", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00014", "http://doi.org/10.1109/MIPR.2018.00014"]}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "d497543834f23f72f4092252b613bf3adaefc606", "title": "Density-Adaptive Kernel based Re-Ranking for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07698.pdf"], "doi": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "a0cc5f73a37723a6dd465924143f1cb4976d0169", "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578114"]}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"], "doi": []}, {"id": "e1dcc3946fa750da4bc05b1154b6321db163ad62", "title": "Similarity Learning with Spatial Constraints for Person Re-identification", "year": "2016", "pdf": ["http://gr.xjtu.edu.cn/c/document_library/get_file?folderId=1540809&name=DLFE-80365.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Similarity_Learning_With_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Chen_Similarity_Learning_With_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780511", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.142", "http://doi.org/10.1109/CVPR.2016.142"]}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "25bb4212af72d64ec20cac533f58f7af1472e057", "title": "Person Re-Identification by Camera Correlation Aware Feature Augmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.08837.pdf"], "doi": []}, {"id": "ad3be20fe0106d80c567def71fef01146564df4b", "title": "Learning Deep Disentangled Embeddings With the F-Statistic Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05312.pdf"], "doi": []}, {"id": "a94b832facb57ea37b18927b13d2dd4c5fa3a9ea", "title": "Domain transfer convolutional attribute embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09733.pdf"], "doi": []}, {"id": "76fb9e2963928bf8e940944d45c13d52db947702", "title": "Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00478.pdf"], "doi": []}, {"id": "5bb24d1250df62a56cab1445f1d8c5c61269b785", "title": "Measuring the Temporal Behavior of Real-World Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05499.pdf"], "doi": []}, {"id": "63ac85ec1bff6009bb36f0b24ef189438836bc91", "title": "Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.01595.pdf"], "doi": []}, {"id": "2102915d0c51cfda4d85133bd593ecb9508fa4bb", "title": "Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.03153.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468189", "http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "46ca382cf66af47c356c2cebbd967bbe01b1a735", "title": "Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578837"]}, {"id": "43001722a7b31427d1ee16ef47c0482fdf552011", "title": "Review of Person Re-identification Methods", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560849"]}, {"id": "4f6e1319c795e7ea1ec220a007c04e9cf37ff4e9", "title": "Unsupervised Cross-Dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578927"]}, {"id": "6ce6da7a6b2d55fac604d986595ba6979580393b", "title": "Cross Domain Knowledge Transfer for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06026.pdf"], "doi": []}, {"id": "12d62f1360587fdecee728e6c509acc378f38dc9", "title": "Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06118.pdf"], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "9b7c6ef333c6e64f2dfa97a1a3614d0775d81a8a", "title": "A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03567.pdf"], "doi": []}, {"id": "ef7191fd43d120b77d3d367f8a6e11ae38ca5212", "title": "Person reidentification by semisupervised dictionary rectification learning with retraining module", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/60d7/5d32d345c519fa5c0d8d6b6eb62e633a8d13.pdf"], "doi": []}, {"id": "6562c40932ea734f46e5068555fbf3a185a345de", "title": "Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.00409.pdf"], "doi": []}, {"id": "3529310a5b3a8b5a576651dcc994ff1755e8560c", "title": "Video-Based Person Re-identification by Deep Feature Guided Pooling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014922"]}, {"id": "d950af49c44bc5d9f4a5cc1634e606004790b1e5", "title": "Divide and Fuse: A Re-ranking Approach for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04169.pdf"], "doi": []}, {"id": "61b0cfd75f5bce59cf79abb7b602e404fa5584e7", "title": "Person Re-Identification by Semantic Region Representation and Topology Constraint", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06280.pdf"], "doi": []}, {"id": "6d902439b736a7546dd8872b307fb760087ca629", "title": "SIFT Meets CNN: A Decade Survey of Instance Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.01807.pdf"], "doi": []}, {"id": "fd0e1fecf7e72318a4c53463fd5650720df40281", "title": "End-to-End Comparative Attention Networks for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04404.pdf"], "doi": []}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.pdf"], "doi": []}, {"id": "17092ce59ed56eb5fcbf467a889c7ec3e930f4c2", "title": "Mask-Guided Contrastive Attention Model for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578227"]}, {"id": "e278218ba1ff1b85d06680e99b08e817d0962dab", "title": "Tracking Persons-of-Interest via Unsupervised Representation Adaptation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02139.pdf"], "doi": []}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "b6fd381fa41a2d03e170ca686f191ab1e4b69615", "title": "Continuous, Full-scope, Spatio-temporal Tracking Metric based on KL-divergence", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638328"]}, {"id": "b2c52de097b4e903a1ed487ac8476971f3d52a34", "title": "3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.10222.pdf"], "doi": []}, {"id": "44fe6787f864812e666fbed8c18e18ad0eff190f", "title": "Long-Term Person Re-identification Using True Motion from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354164", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00060", "http://doi.org/10.1109/WACV.2018.00060"]}, {"id": "2dcbd8f2533dd08d09987bd069eeacbd6024731d", "title": "Multiple metric learning based on bar-shape descriptor for person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.011"]}, {"id": "a71185a29a989d9ef1bb6f2a3e225f1746640a89", "title": "Consistent Iterative Multi-view Transfer Learning for Person Re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265341", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.132", "http://doi.org/10.1109/ICCVW.2017.132"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/mars.json b/site/datasets/unknown/mars.json index b3655aef..f357351b 100644 --- a/site/datasets/unknown/mars.json +++ b/site/datasets/unknown/mars.json @@ -1 +1 @@ -{"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "citations": [{"id": "5f1019f26479545a6f2f9c364b995579e283d2ce", "title": "Multi-shot Person Re-Identification Using Part Appearance Mixture", "year": "2017", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/furqanWACV17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926656", "http://doi.org/10.1109/WACV.2017.73"]}, {"id": "f1df5f74477658df45814743f2e605656e8ac16e", "title": "See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14514/1/%E8%AE%BA%E6%96%87%20See%20the%20Forest%20for%20the%20Trees%20Joint%20Spatial%20and%20Temporal%20Recurrent%20Neural%20Networks%20for%20Video-based%20Person%20Re-identfication.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_See_the_Forest_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100200", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.717", "http://doi.org/10.1109/CVPR.2017.717"]}, {"id": "8e8e23be83ac0900e082bc795337887c48467701", "title": "Learning Distributional Representation and Set Distance for Multi-shot Person Re-identification", "year": "2018", "pdf": [], "doi": []}, {"id": "684c8acd49148020e9bf9c4f4aefc03708a6dac0", "title": "Video-Based Person Re-Identification With Accumulative Motion Context", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.00193.pdf"], "doi": []}, {"id": "ae4d06143a6b46ffaf5d228b1fa464dc322ddc18", "title": "R 4-A . 3 : Human Detection & Re-Identification for Mass Transit Environments", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/41dd/d29d9e56bb87b9f988afc75cd597657b2600.pdf"], "doi": []}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "7f8d4494aba2a2b11a88bf7de4b8879b047dd69b", "title": "Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578661", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00563", "http://doi.org/10.1109/CVPR.2018.00563"]}, {"id": "b2c52de097b4e903a1ed487ac8476971f3d52a34", "title": "3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.10222.pdf"], "doi": []}, {"id": "50245be68e70e8447610d6fb304bf1c49cf2feda", "title": "Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237375"]}, {"id": "bb3d634c5c021de7c2ba10b073c63171f7610c6c", "title": "Multi-shot Pedestrian Re-identification via Sequential Decision Making", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578807"]}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "cb68c60ac046a0ec1c7f67487f14b999037313e1", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "1565bf91f8fdfe5f5168a5050b1418debc662151", "title": "One-pass Person Re-identification by Sketch Online Discriminant Analysis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.03368.pdf"], "doi": []}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "50cbe0eb6ff6fac20629e86056d8d2e7d991ce52", "title": "Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Learning_View-Invariant_Features_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237573", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.311", "http://doi.org/10.1109/ICCV.2017.311"]}, {"id": "3529310a5b3a8b5a576651dcc994ff1755e8560c", "title": "Video-Based Person Re-identification by Deep Feature Guided Pooling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014922"]}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "384908bfad5b9e81d605344abcb9e99d8b0f4027", "title": "Improving Deep Models of Person Re-identification for Cross-Dataset Usage", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08526.pdf"], "doi": []}, {"id": "35184b2891ca17a8b1e5fe45b319336d00a2a4c9", "title": "Video Person Re-Identification by Temporal Residual Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07918.pdf"], "doi": []}, {"id": "13e3a68dd49b2098c2cad2acc799953abdcaa3ee", "title": "Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1135-x"]}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "0adc3ad7c40c475d5878f9bdfeb3c8b59e482c17", "title": "Learning local embedding deep features for person re-identification in camera networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0adc/3ad7c40c475d5878f9bdfeb3c8b59e482c17.pdf"], "doi": []}, {"id": "834ff8e06ed3f01c10958a276f1526fce7ffd387", "title": "Automatic Adaptation of Person Association for Multiview Tracking in Group Activities", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08717.pdf"], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "12d62f1360587fdecee728e6c509acc378f38dc9", "title": "Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06118.pdf"], "doi": []}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "d2b86b6dc93631990e21a12278e77f002fb4b116", "title": "Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b8/6b6dc93631990e21a12278e77f002fb4b116.pdf"], "doi": []}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "5a88b2b9c77ae830be0b014d4788420f6a748723", "title": "Part-based Feature Extraction for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3195112"]}, {"id": "f7a7b1dc7a4a7adb5e0d612b2dc86aa32ce80ca2", "title": "RPIfield: A New Dataset for Temporally Evaluating Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575417"]}, {"id": "05a6a40c840c069631a825509f3095697592e1c4", "title": "IAN: The Individual Aggregation Network for Person Search", "year": "2019", "pdf": ["https://arxiv.org/pdf/1705.05552.pdf"], "doi": []}, {"id": "44fe6787f864812e666fbed8c18e18ad0eff190f", "title": "Long-Term Person Re-identification Using True Motion from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354164", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00060", "http://doi.org/10.1109/WACV.2018.00060"]}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "b76f0271893b93ed28c32d32a5a7200f2db95ddc", "title": "Person Re-identification Using Two-Stage Convolutional Neural Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545498"]}, {"id": "5b1d78b160560db5f581e65289ce5e2f99eb9b1f", "title": "Twitter100k: A Real-World Dataset for Weakly Supervised Cross-Media Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.06618.pdf"], "doi": []}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "5223f3485b96bffe7dd4b3aa71e63fd2b049fcf0", "title": "Is the Pedestrian going to Cross? Answering by 2D Pose Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10580.pdf"], "doi": []}, {"id": "5bb24d1250df62a56cab1445f1d8c5c61269b785", "title": "Measuring the Temporal Behavior of Real-World Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05499.pdf"], "doi": []}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "15cd9d3d455cb77948ec498bfa112bef7363c2e4", "title": "Transfer Learning of Spatio-Temporal Information Using 3D-CNN for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8616160"]}, {"id": "ad6313f284b081076c006d301124d12ba24272a3", "title": "Class-specific object proposals re-ranking for object detection in automatic driving", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.02.068"]}, {"id": "d497543834f23f72f4092252b613bf3adaefc606", "title": "Density-Adaptive Kernel based Re-Ranking for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07698.pdf"], "doi": []}, {"id": "43001722a7b31427d1ee16ef47c0482fdf552011", "title": "Review of Person Re-identification Methods", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560849"]}, {"id": "d8949f4f4085b15978e20ed7c5c34a080dd637f2", "title": "Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Chen_Deep_Spatial-Temporal_Fusion_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014925", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.191", "http://doi.org/10.1109/CVPRW.2017.191"]}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "17092ce59ed56eb5fcbf467a889c7ec3e930f4c2", "title": "Mask-Guided Contrastive Attention Model for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578227"]}, {"id": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"], "doi": []}, {"id": "6a4dbd2db0e09a4f3aab3d2602db3176f825d8f9", "title": "Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6a4d/bd2db0e09a4f3aab3d2602db3176f825d8f9.pdf"], "doi": []}, {"id": "fef7fb6f3e239c346cd144960e27875889fdd650", "title": "One-Shot Metric Learning for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Bak_One-Shot_Metric_Learning_CVPR_2017_paper.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170713092653/One-Shot-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099654", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.171", "http://doi.org/10.1109/CVPR.2017.171"]}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "ba1cf2d0493f25da61bd816f92712291999c0ef6", "title": "Simple online and realtime tracking with a deep association metric", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07402.pdf"], "doi": []}, {"id": "356965584382b789e17d073edbfc096aed74d05b", "title": "Video-Based Person Re-Identification via Self Paced Weighting", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/aeb0/f4ffb57e40c93606458707622c0b37ea3790.pdf"], "doi": []}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "d950af49c44bc5d9f4a5cc1634e606004790b1e5", "title": "Divide and Fuse: A Re-ranking Approach for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04169.pdf"], "doi": []}, {"id": "b2efa9a9d996b396317e94d26add673bbf804bca", "title": "RGB-Infrared Cross-Modality Person Re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237837"]}, {"id": "2c98300103c86401c979ec158a659fb07fd2a36e", "title": "Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation", "year": "2018", "pdf": ["http://crabwq.github.io/pdf/2018%20Bike-Person%20Re-Identification%20A%20Benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8476557", "http://doi.org/10.1109/ACCESS.2018.2872804"]}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "d6e8930b3758e415a09238aae4a129bbf2d5468b", "title": "A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600306", "http://doi.org/10.1109/ACCESS.2019.2890836"]}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "e0027a30bef2d84d33eb3d0d62d9ca4806a53230", "title": "A Two Stream Siamese Convolutional Neural Network for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Chung_A_Two_Stream_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.218", "http://doi.org/10.1109/ICCV.2017.218"]}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "b76d6f49f97bfff0f49efbd3b50115ee4ff249d2", "title": "Co-Metric Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b76d/6f49f97bfff0f49efbd3b50115ee4ff249d2.pdf"], "doi": []}, {"id": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.pdf"], "doi": []}, {"id": "f741cba061655581f6fbb628613d0669c4bdecd5", "title": "Deep Cosine Metric Learning for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354191"]}, {"id": "16f1a35d0149482d6b2b67df58b21b68622e6b9c", "title": "Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics", "year": "2016", "pdf": ["http://ijcai.org/Proceedings/16/Papers/501.pdf", "https://www.ijcai.org/Proceedings/16/Papers/501.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424182", "http://doi.org/10.1109/TIP.2018.2861366", "http://www.ijcai.org/Abstract/16/501", "https://www.ncbi.nlm.nih.gov/pubmed/30072322"]}, {"id": "456f00e213e03058a056069fa75c34929cf7d4e9", "title": "Detecting ground control points via convolutional neural network for stereo matching", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02289.pdf"], "doi": []}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "092597b8e0f31be1671025cea1b9fd28a48e04bc", "title": "Supervised Person Re-ID based on Deep Hand-crafted and CNN Features", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0925/97b8e0f31be1671025cea1b9fd28a48e04bc.pdf"], "doi": []}, {"id": "61470aaccabd195a361112d38d80d3779498f784", "title": "Stepwise Metric Promotion for Unsupervised Video Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Stepwise_Metric_Promotion_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237528", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.266", "http://doi.org/10.1109/ICCV.2017.266"]}, {"id": "2fdb3576715829aa9bbaf74825236bbb71d06f1a", "title": "Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01911.pdf"], "doi": []}, {"id": "4a303369828d9334022a0f5e8ad2b1a715d1c0c9", "title": "Deep Metric Learning by Online Soft Mining and Class-Aware Attention", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01459.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "citations": [{"id": "5f1019f26479545a6f2f9c364b995579e283d2ce", "title": "Multi-shot Person Re-Identification Using Part Appearance Mixture", "year": "2017", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/furqanWACV17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926656", "http://doi.org/10.1109/WACV.2017.73"]}, {"id": "f1df5f74477658df45814743f2e605656e8ac16e", "title": "See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14514/1/%E8%AE%BA%E6%96%87%20See%20the%20Forest%20for%20the%20Trees%20Joint%20Spatial%20and%20Temporal%20Recurrent%20Neural%20Networks%20for%20Video-based%20Person%20Re-identfication.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_See_the_Forest_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100200", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.717", "http://doi.org/10.1109/CVPR.2017.717"]}, {"id": "8e8e23be83ac0900e082bc795337887c48467701", "title": "Learning Distributional Representation and Set Distance for Multi-shot Person Re-identification", "year": "2018", "pdf": [], "doi": []}, {"id": "684c8acd49148020e9bf9c4f4aefc03708a6dac0", "title": "Video-Based Person Re-Identification With Accumulative Motion Context", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.00193.pdf"], "doi": []}, {"id": "ae4d06143a6b46ffaf5d228b1fa464dc322ddc18", "title": "R 4-A . 3 : Human Detection & Re-Identification for Mass Transit Environments", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/41dd/d29d9e56bb87b9f988afc75cd597657b2600.pdf"], "doi": []}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "7f8d4494aba2a2b11a88bf7de4b8879b047dd69b", "title": "Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578661", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00563", "http://doi.org/10.1109/CVPR.2018.00563"]}, {"id": "b2c52de097b4e903a1ed487ac8476971f3d52a34", "title": "3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.10222.pdf"], "doi": []}, {"id": "50245be68e70e8447610d6fb304bf1c49cf2feda", "title": "Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237375"]}, {"id": "bb3d634c5c021de7c2ba10b073c63171f7610c6c", "title": "Multi-shot Pedestrian Re-identification via Sequential Decision Making", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578807"]}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "cb68c60ac046a0ec1c7f67487f14b999037313e1", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "1565bf91f8fdfe5f5168a5050b1418debc662151", "title": "One-pass Person Re-identification by Sketch Online Discriminant Analysis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.03368.pdf"], "doi": []}, {"id": "50cbe0eb6ff6fac20629e86056d8d2e7d991ce52", "title": "Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Learning_View-Invariant_Features_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237573", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.311", "http://doi.org/10.1109/ICCV.2017.311"]}, {"id": "3529310a5b3a8b5a576651dcc994ff1755e8560c", "title": "Video-Based Person Re-identification by Deep Feature Guided Pooling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014922"]}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "384908bfad5b9e81d605344abcb9e99d8b0f4027", "title": "Improving Deep Models of Person Re-identification for Cross-Dataset Usage", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08526.pdf"], "doi": []}, {"id": "35184b2891ca17a8b1e5fe45b319336d00a2a4c9", "title": "Video Person Re-Identification by Temporal Residual Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07918.pdf"], "doi": []}, {"id": "13e3a68dd49b2098c2cad2acc799953abdcaa3ee", "title": "Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1135-x"]}, {"id": "0adc3ad7c40c475d5878f9bdfeb3c8b59e482c17", "title": "Learning local embedding deep features for person re-identification in camera networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0adc/3ad7c40c475d5878f9bdfeb3c8b59e482c17.pdf"], "doi": []}, {"id": "834ff8e06ed3f01c10958a276f1526fce7ffd387", "title": "Automatic Adaptation of Person Association for Multiview Tracking in Group Activities", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08717.pdf"], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "12d62f1360587fdecee728e6c509acc378f38dc9", "title": "Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06118.pdf"], "doi": []}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "d2b86b6dc93631990e21a12278e77f002fb4b116", "title": "Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b8/6b6dc93631990e21a12278e77f002fb4b116.pdf"], "doi": []}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "5a88b2b9c77ae830be0b014d4788420f6a748723", "title": "Part-based Feature Extraction for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3195112"]}, {"id": "f7a7b1dc7a4a7adb5e0d612b2dc86aa32ce80ca2", "title": "RPIfield: A New Dataset for Temporally Evaluating Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575417"]}, {"id": "05a6a40c840c069631a825509f3095697592e1c4", "title": "IAN: The Individual Aggregation Network for Person Search", "year": "2019", "pdf": ["https://arxiv.org/pdf/1705.05552.pdf"], "doi": []}, {"id": "44fe6787f864812e666fbed8c18e18ad0eff190f", "title": "Long-Term Person Re-identification Using True Motion from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354164", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00060", "http://doi.org/10.1109/WACV.2018.00060"]}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "b76f0271893b93ed28c32d32a5a7200f2db95ddc", "title": "Person Re-identification Using Two-Stage Convolutional Neural Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545498"]}, {"id": "5b1d78b160560db5f581e65289ce5e2f99eb9b1f", "title": "Twitter100k: A Real-World Dataset for Weakly Supervised Cross-Media Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.06618.pdf"], "doi": []}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "5223f3485b96bffe7dd4b3aa71e63fd2b049fcf0", "title": "Is the Pedestrian going to Cross? Answering by 2D Pose Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10580.pdf"], "doi": []}, {"id": "5bb24d1250df62a56cab1445f1d8c5c61269b785", "title": "Measuring the Temporal Behavior of Real-World Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05499.pdf"], "doi": []}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "15cd9d3d455cb77948ec498bfa112bef7363c2e4", "title": "Transfer Learning of Spatio-Temporal Information Using 3D-CNN for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8616160"]}, {"id": "ad6313f284b081076c006d301124d12ba24272a3", "title": "Class-specific object proposals re-ranking for object detection in automatic driving", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.02.068"]}, {"id": "d497543834f23f72f4092252b613bf3adaefc606", "title": "Density-Adaptive Kernel based Re-Ranking for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07698.pdf"], "doi": []}, {"id": "43001722a7b31427d1ee16ef47c0482fdf552011", "title": "Review of Person Re-identification Methods", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560849"]}, {"id": "d8949f4f4085b15978e20ed7c5c34a080dd637f2", "title": "Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Chen_Deep_Spatial-Temporal_Fusion_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014925", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.191", "http://doi.org/10.1109/CVPRW.2017.191"]}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "17092ce59ed56eb5fcbf467a889c7ec3e930f4c2", "title": "Mask-Guided Contrastive Attention Model for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578227"]}, {"id": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"], "doi": []}, {"id": "6a4dbd2db0e09a4f3aab3d2602db3176f825d8f9", "title": "Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6a4d/bd2db0e09a4f3aab3d2602db3176f825d8f9.pdf"], "doi": []}, {"id": "fef7fb6f3e239c346cd144960e27875889fdd650", "title": "One-Shot Metric Learning for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Bak_One-Shot_Metric_Learning_CVPR_2017_paper.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170713092653/One-Shot-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099654", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.171", "http://doi.org/10.1109/CVPR.2017.171"]}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "ba1cf2d0493f25da61bd816f92712291999c0ef6", "title": "Simple online and realtime tracking with a deep association metric", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07402.pdf"], "doi": []}, {"id": "356965584382b789e17d073edbfc096aed74d05b", "title": "Video-Based Person Re-Identification via Self Paced Weighting", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/aeb0/f4ffb57e40c93606458707622c0b37ea3790.pdf"], "doi": []}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "d950af49c44bc5d9f4a5cc1634e606004790b1e5", "title": "Divide and Fuse: A Re-ranking Approach for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04169.pdf"], "doi": []}, {"id": "b2efa9a9d996b396317e94d26add673bbf804bca", "title": "RGB-Infrared Cross-Modality Person Re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237837"]}, {"id": "2c98300103c86401c979ec158a659fb07fd2a36e", "title": "Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation", "year": "2018", "pdf": ["http://crabwq.github.io/pdf/2018%20Bike-Person%20Re-Identification%20A%20Benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8476557", "http://doi.org/10.1109/ACCESS.2018.2872804"]}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "d6e8930b3758e415a09238aae4a129bbf2d5468b", "title": "A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600306", "http://doi.org/10.1109/ACCESS.2019.2890836"]}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "e0027a30bef2d84d33eb3d0d62d9ca4806a53230", "title": "A Two Stream Siamese Convolutional Neural Network for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Chung_A_Two_Stream_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.218", "http://doi.org/10.1109/ICCV.2017.218"]}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "b76d6f49f97bfff0f49efbd3b50115ee4ff249d2", "title": "Co-Metric Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b76d/6f49f97bfff0f49efbd3b50115ee4ff249d2.pdf"], "doi": []}, {"id": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.pdf"], "doi": []}, {"id": "f741cba061655581f6fbb628613d0669c4bdecd5", "title": "Deep Cosine Metric Learning for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354191"]}, {"id": "16f1a35d0149482d6b2b67df58b21b68622e6b9c", "title": "Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics", "year": "2016", "pdf": ["http://ijcai.org/Proceedings/16/Papers/501.pdf", "https://www.ijcai.org/Proceedings/16/Papers/501.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424182", "http://doi.org/10.1109/TIP.2018.2861366", "http://www.ijcai.org/Abstract/16/501", "https://www.ncbi.nlm.nih.gov/pubmed/30072322"]}, {"id": "456f00e213e03058a056069fa75c34929cf7d4e9", "title": "Detecting ground control points via convolutional neural network for stereo matching", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02289.pdf"], "doi": []}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "092597b8e0f31be1671025cea1b9fd28a48e04bc", "title": "Supervised Person Re-ID based on Deep Hand-crafted and CNN Features", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0925/97b8e0f31be1671025cea1b9fd28a48e04bc.pdf"], "doi": []}, {"id": "61470aaccabd195a361112d38d80d3779498f784", "title": "Stepwise Metric Promotion for Unsupervised Video Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Stepwise_Metric_Promotion_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237528", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.266", "http://doi.org/10.1109/ICCV.2017.266"]}, {"id": "2fdb3576715829aa9bbaf74825236bbb71d06f1a", "title": "Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01911.pdf"], "doi": []}, {"id": "4a303369828d9334022a0f5e8ad2b1a715d1c0c9", "title": "Deep Metric Learning by Online Soft Mining and Class-Aware Attention", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01459.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/mot.json b/site/datasets/unknown/mot.json index 2808b07c..0c5188b4 100644 --- a/site/datasets/unknown/mot.json +++ b/site/datasets/unknown/mot.json @@ -1 +1 @@ -{"id": "2258e01865367018ed6f4262c880df85b94959f8", "citations": [{"id": "22909dd19a0ec3b6065334cb5be5392cb24d839d", "title": "PETS 2017: Dataset and Challenge", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014998"]}, {"id": "147307c7e67e1c3e5ceca68644f365d6f44472fb", "title": "Detecting and Tracking Moving Objects from a Small Unmanned Air Vehicle", "year": "2015", "pdf": [], "doi": []}, {"id": "940002939d519227427619ec437e04676235d558", "title": "Backtracking: Retrospective multi-target tracking", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2012.04.004"]}, {"id": "1bb73d8f1224a846473d0a2ddc4289ae3e21b61c", "title": "A joint particle filter to track the position and head orientation of people using audio visual cues", "year": "2010", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2010/Contents/papers/1569296251.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7096747", "http://ieeexplore.ieee.org/document/7096747/"]}, {"id": "bf4e6ec60e5603324f6a40d2a060420322dbdd62", "title": "Kinects and Human Kinetics: A New Approach for Studying Crowd Behavior", "year": "2012", "pdf": ["https://arxiv.org/pdf/1210.2838.pdf"], "doi": []}, {"id": "37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e", "title": "Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach", "year": "2015", "pdf": ["http://www.cse.iitm.ac.in/~amittal/wacv2015_review.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045875", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.21", "http://doi.org/10.1109/WACV.2015.21"]}, {"id": "517cc1084952133b6d2ecd0a535cdc3ddf8955d7", "title": "A Graphical Social Topology Model for Multi-Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04040.pdf"], "doi": []}, {"id": "664ccdcc614a8ecfbfedadc7b42b9537fe43d3f1", "title": "Probabilistic integration of sparse audio-visual cues for identity tracking", "year": "2008", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1459380"]}, {"id": "8dc2b137b2a1a3713f6ce5e78f621a9f0f036bf8", "title": "Non-myopic information theoretic sensor management of a single pan-tilt-zoom camera for multiple object detection and tracking", "year": "2015", "pdf": ["http://www.micc.unifi.it/wp-content/uploads/2015/12/2015_non_myopic_sensor.pdf", "https://iris.univr.it/retrieve/handle/11562/932909/26906/manuscriptAccepted.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.12.001"]}, {"id": "5fb635801e65a12b5c52085da78152d2df6c2ff2", "title": "ICDAR2017 Robust Reading Challenge on Omnidirectional Video", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270167", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.236", "http://doi.org/10.1109/ICDAR.2017.236"]}, {"id": "53079196041fedeb5f1e236b1c76c7108fd8346e", "title": "Multiple Object Detection, Tracking and Long-Term Dynamics Learning in Large 3D Maps", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09292.pdf"], "doi": []}, {"id": "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "title": "Features for Multi-target Multi-camera Tracking and Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578730"]}, {"id": "aab5d43cbd215099cb7a947665072f8d6d5fe2c2", "title": "Motion Vector Based Data Association for On-Line Multi-object Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575812", "http://doi.org/10.1109/ACPR.2017.54"]}, {"id": "1183ef7de3083c57ca9152aabd905814bb486a08", "title": "A GAUSSIAN PROCESS BASED MULTI-PERSON INTERACTION MODEL", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1183/ef7de3083c57ca9152aabd905814bb486a08.pdf"], "doi": []}, {"id": "e3255ab54d4ae6cfbdb7bf103108663bf4c6e0fc", "title": "Dynamic Task Decomposition for Probabilistic Tracking in Complex Scenes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977421", "http://doi.org/10.1109/ICPR.2014.708"]}, {"id": "18ab703c9959fbea7ad253a4062eb705b245552c", "title": "Efficient trajectory extraction and parameter learning for data-driven crowd simulation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/92cd/9f7d580c9c10695f05d3c1fe6625c550293f.pdf"], "doi": []}, {"id": "54f0fa07dee7bd270d3bd8da9011ca90df78af59", "title": "Comparison of Laser-Based Person Tracking at Feet and Upper-Body Height", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/54f0/fa07dee7bd270d3bd8da9011ca90df78af59.pdf"], "doi": []}, {"id": "efe208a03e2f75ddcebf8bb0f10b1c0bea4824be", "title": "A data set for evaluating the performance of multi-class multi-object video tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06378.pdf"], "doi": []}, {"id": "f627f2ed56f42dbc3ba127f2a820630dd0e03c52", "title": "Automated traffic monitoring for complex road conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f627/f2ed56f42dbc3ba127f2a820630dd0e03c52.pdf"], "doi": []}, {"id": "8e0b92b7ccf6a2d110011b79637d257805d8c96e", "title": "Visual Tracking: An Experimental Survey", "year": "2013", "pdf": ["http://crcv.ucf.edu/papers/Tracking_Survey.pdf", "http://crcv.ucf.edu/papers/trackerSurvey.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2014/SmeuldersTPAMI2014/SmeuldersTPAMI2014.pdf", "https://pure.uva.nl/ws/files/2110600/156976_SmeuldersTPAMI2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6671560", "http://doi.org/10.1109/TPAMI.2013.230", "https://www.ncbi.nlm.nih.gov/pubmed/24277945", "https://www.ncbi.nlm.nih.gov/pubmed/26353314", "https://www.wikidata.org/entity/Q40558209"]}, {"id": "1120e88663a38ed05120af378f57ecf557660160", "title": "Generic Object Crowd Tracking by Multi-Task Learning", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/722e/ae6cdf3ec2a55f06ea0f8c0aa4d7d57dc6a0.pdf"], "doi": []}, {"id": "8e0cc47c194ef7daf15aaef14d61e493879ae137", "title": "Deep Network Flow for Multi-object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08482.pdf"], "doi": []}, {"id": "b674bacb45c1c96e9c93792019478a7760fbe7a6", "title": "Tracking multiple pedestrians through detection failures in videos", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7338705", "http://doi.org/10.1109/ICCAIS.2015.7338705"]}, {"id": "ba1cf2d0493f25da61bd816f92712291999c0ef6", "title": "Simple online and realtime tracking with a deep association metric", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07402.pdf"], "doi": []}, {"id": "f3b56b873c48929361c1cada7b18177e3f4d2727", "title": "Development of a N-type GM-PHD Filter for Multiple Target, Multiple Type Visual Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00672.pdf"], "doi": []}, {"id": "507bc8ab4a598fb2f4108713e8c1e55c180c007e", "title": "Multiple Objects Tracking With Improved Sparse Representation and Rank Based Dynamic Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411122", "http://doi.org/10.1109/ACCESS.2018.2855703"]}, {"id": "c0d21722d83c126af4175add38ffc893a33ee01e", "title": "Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.02340.pdf"], "doi": []}, {"id": "9dc263210770e7e836040c8e9d0edff40814254b", "title": "A track before detect approach for sequential Bayesian tracking of multiple speech sources", "year": "2010", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202010/pdfs/0004974.pdf", "http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202010/pdfs/0004974.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5495092", "http://doi.org/10.1109/ICASSP.2010.5495092"]}, {"id": "5f0e9cc18374a670dfea4698424c9d48494f3093", "title": "Online Domain Adaptation for Multi-Object Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.00776.pdf"], "doi": []}, {"id": "b6fd381fa41a2d03e170ca686f191ab1e4b69615", "title": "Continuous, Full-scope, Spatio-temporal Tracking Metric based on KL-divergence", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638328"]}, {"id": "53f981cb6f1cf19b08255c571d62cc1073fd792b", "title": "Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios", "year": "2017", "pdf": ["https://arxiv.org/pdf/1808.07935.pdf"], "doi": []}, {"id": "d01e65591745fc46a3f69a6c9387be17caf55c16", "title": "State-Driven Particle Filter for Multi-person Tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d01e/65591745fc46a3f69a6c9387be17caf55c16.pdf"], "doi": []}, {"id": "4469ff0b698d4752504b4b900b0cbef38ded59e4", "title": "Data association for multi-object Tracking-by-Detection in multi-camera networks", "year": "2012", "pdf": ["http://herakles.inf-cv.uni-jena.de/biborb/bibs/cv/papers/Bredereck12:DAM.pdf", "https://pdfs.semanticscholar.org/4469/ff0b698d4752504b4b900b0cbef38ded59e4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6470139", "http://ieeexplore.ieee.org/document/6470139/"]}, {"id": "a8420e7fa53b81b8069ced8d9c743c141e2fc432", "title": "Real-Time Multiple Object Tracking - A Study on the Importance of Speed", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03572.pdf"], "doi": []}, {"id": "01d785bb989850019001a418a16202fd7502ac14", "title": "Hierarchical object detection and tracking with an Implicit Shape Model", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/01d7/85bb989850019001a418a16202fd7502ac14.pdf"], "doi": []}, {"id": "6f79c4b82f9ccdee918659a8f7091b8ab99fe889", "title": "Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09975.pdf"], "doi": []}, {"id": "ceb9a051f1273c7159aca80891f21ca3357b68ab", "title": "DIET: Dynamic Integration of Extended Tracklets for Tracking Multiple Persons", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976927", "http://doi.org/10.1109/ICPR.2014.217"]}, {"id": "a744c82e10ccd67e4e6ba73ff4411bd45d95d533", "title": "Maritime Vessels Real-time Tracking-by-detection in UAV Videos", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a744/c82e10ccd67e4e6ba73ff4411bd45d95d533.pdf"], "doi": []}, {"id": "4e3625382a60672c09c6614214f2b3c1de61898e", "title": "Hierarchical Task Network planning with common-sense reasoning for multiple-people behaviour analysis", "year": "2017", "pdf": ["https://lra.le.ac.uk/bitstream/2381/41197/2/ESWA-2016.pdf", "https://pure.qub.ac.uk/portal/files/101605639/main.pdf"], "doi": ["https://doi.org/10.1016/j.eswa.2016.09.038"]}, {"id": "b8a4e7c21c3163b7595dac0cb00cf518e2dd82b5", "title": "Coupling Fall Detection and Tracking in Omnidirectional Cameras", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b8a4/e7c21c3163b7595dac0cb00cf518e2dd82b5.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "79e39f3d0577b9c5a47b93eb6d75bec04d14c07a", "title": "Person tracking and following with 2D laser scanners", "year": "2015", "pdf": ["http://cs.mcgill.ca/~jpineau/files/leigh-icra15.pdf", "http://www.cs.mcgill.ca/~aleigh1/ICRA_2015.pdf", "http://www.cs.mcgill.ca/~jpineau/files/leigh-icra15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139259", "http://doi.org/10.1109/ICRA.2015.7139259"]}, {"id": "9cabbb686883635d8755706ee4f1349d812d7ccb", "title": "Detection and Tracking of General Movable Objects in Large 3D Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08409.pdf"], "doi": []}, {"id": "8ec3325c12340d1b8b746b7e9b40616ace1f4d0b", "title": "InLiDa: A 3D Lidar Dataset for People Detection and Tracking in Indoor Environments", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8ec3/325c12340d1b8b746b7e9b40616ace1f4d0b.pdf"], "doi": []}, {"id": "c2d35b387518496d8100f70e82597b002eba600e", "title": "Online Multi-player Tracking in Monocular Soccer Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c2d3/5b387518496d8100f70e82597b002eba600e.pdf"], "doi": []}, {"id": "e27301701e4d2d7da4171e6c560c4fb3f974bf2d", "title": "Comparative Evaluations of Selected Tracking-by-Detection Approaches", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96a6/087fd0c96342fae897e1e8e822906bf73819.pdf"], "doi": []}, {"id": "ac0d88ca5f75a4a80da90365c28fa26f1a26d4c4", "title": "MOT16: A Benchmark for Multi-Object Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00831.pdf"], "doi": []}, {"id": "fc5561d95b63f05a2f88e66291dbd269e4141a00", "title": "A Pedestrian Multiple Hypothesis Tracker Fusing Head and Body Detections", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6691474", "http://doi.org/10.1109/DICTA.2013.6691474"]}, {"id": "b13254c2c9ca90f57e385d34abc7fe78d74e5222", "title": "Real-Time Multi-object Tracking with Occlusion and Stationary Objects Handling for Conveying Systems", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4f5e/47562c40e1caed7f10095b6959afc7e1bd89.pdf"], "doi": []}, {"id": "343192938edf3e650169f1650349206f2b02e00c", "title": "A Lightweight Online Multiple Object Vehicle Tracking Method", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500386", "http://doi.org/10.1109/IVS.2018.8500386"]}, {"id": "2b9659169951d968e437345df0d4d784f6843734", "title": "Classification Assisted Tracking for Autonomous Driving Domain", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547138"]}, {"id": "2c5bfdf6b4f9c06a42280e99d101e628a1dc597f", "title": "Multiple Target, Multiple Type Visual Tracking using a Tri-GM-PHD Filter", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2c5b/fdf6b4f9c06a42280e99d101e628a1dc597f.pdf"], "doi": []}, {"id": "f6d35f4884d0834f2a2b29fd6341f3b4afefb119", "title": "Collaborative Detector Fusion of Data-Driven PHD Filter for Online Multiple Human Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455432", "http://doi.org/10.23919/ICIF.2018.8455432"]}, {"id": "b7b5fd3e2cfc39967e389b974c1cb418b2bf1b8f", "title": "Heuristic Search for Structural Constraints in Data Association", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.02823.pdf"], "doi": []}, {"id": "2b8c1daa238f042612260f0c3f8ff36e27c434db", "title": "Online Tracker Optimization for Multi-Pedestrian Tracking Using a Moving Vehicle Camera", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8449934", "http://doi.org/10.1109/ACCESS.2018.2867621"]}, {"id": "22d5719a95be420e0d1817799498e987eaf6676b", "title": "Novelty detection in human tracking based on spatiotemporal oriented energies", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.07.004", "https://doc-00-70-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/cj6kfl46pid2e3kamqpahch4tfuju2pc/1532808000000/15994626111015157098/*/0B9_PW9TCpxT0VWlIa0pBeFFuZ0U?e=download"]}, {"id": "356ec17af375b63a015d590562381a62f352f7d5", "title": "Occlusion Geodesics for Online Multi-object Tracking", "year": "2014", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr14.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr14_draft.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Possegger_Occlusion_Geodesics_for_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909566", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.170", "http://doi.org/10.1109/CVPR.2014.170"]}, {"id": "5c24758a6deec8fd726b25aaf1df69fdbc47072d", "title": "Fully Automatic, Real-Time Vehicle Tracking for Surveillance Video", "year": "2017", "pdf": ["https://www.cs.uic.edu/pub/Bits/YanziJin/tracker_CRV17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8287687", "http://doi.ieeecomputersociety.org/10.1109/CRV.2017.43", "http://doi.org/10.1109/CRV.2017.43"]}, {"id": "9a57f0233a616bab84fc35101637765510b1ed83", "title": "How good is my prediction? Finding a similarity measure for trajectory prediction evaluation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8317825", "http://doi.org/10.1109/ITSC.2017.8317825"]}, {"id": "e87b1ae1d9af4182e7c5b62c9bd01b15979dd59d", "title": "Addressing ambiguity in multi-target tracking by hierarchical strategy", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10716.pdf"], "doi": []}, {"id": "5db25e8c1e45bcdb64b743f81dbdc69f32c70004", "title": "Shadow Detection: A Survey and Comparative Evaluation of Recent Methods", "year": "2012", "pdf": ["https://arxiv.org/pdf/1304.1233.pdf"], "doi": []}, {"id": "37c4541037b67e8f4c538b285efe80aa251a49b9", "title": "Tracking as a Whole: Multi-Target Tracking by Modeling Group Behavior With Sequential Detection", "year": "2017", "pdf": ["http://crabwq.github.io/pdf/2017%20Tracking%20as%20A%20Whole%20Multi-Target%20Tracking%20by%20Modeling%20Group%20Behavior%20with%20Sequential%20Detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7896601", "http://doi.org/10.1109/TITS.2017.2686871"]}, {"id": "e0659abe7b377b146bcd8ac5040e620bd7f4ede4", "title": "Generative object detection and tracking in 3D range data", "year": "2012", "pdf": ["http://europa.informatik.uni-freiburg.de/files/kaestner12generative.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224585", "http://doi.org/10.1109/ICRA.2012.6224585"]}, {"id": "f0325a190d5d3e265d21e6a11342583e52b338f6", "title": "ESTHER: Joint Camera Self-Calibration and Automatic Radial Distortion Correction From Tracking of Walking Humans", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8605504"]}, {"id": "5da14895692fad7d1f403279faa743a657fa7ac4", "title": "Enhanced GM-PHD Filter Using CNN-Based Weight Penalization for Multi-Target Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8233230"]}, {"id": "ef61e43a1cce95afdc0696879085e834b981d5de", "title": "Real time multi-object tracking using multiple cameras Semester Project", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ef61/e43a1cce95afdc0696879085e834b981d5de.pdf"], "doi": []}, {"id": "2ec56b437ad9391ce5ed85b68561a4e58f21d976", "title": "Multi-target tracking on confidence maps: An application to people tracking", "year": "2013", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2013_CVIU_MultiTargetTracking_Poiesi_Mazzon_Cavallaro.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.08.008"]}, {"id": "b15e703ce4f01f4f0d52e835e2c907d5e8361bba", "title": "Online blind speech separation using multiple acoustic speaker tracking and time-frequency masking", "year": "2013", "pdf": ["http://www.cs.tut.fi/~pertila/Pertila-2013-CSL.pdf"], "doi": ["http://doi.org/10.1016/j.csl.2012.08.003"]}, {"id": "839a028f5928adca3b59c8bd1397d31a88ec285c", "title": "Automatic multiple zebrafish larvae tracking in unconstrained microscopic video conditions", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/s41598-017-17894-x", "https://www.ncbi.nlm.nih.gov/pubmed/29242568"]}, {"id": "bd4e64b1af4feff3e1e641523d99a642de23dda2", "title": "Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01366.pdf"], "doi": []}, {"id": "c9168495c99b37ce601bc778419c2667f34cb29b", "title": "Image Matching: An Application-oriented Benchmark", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03917.pdf"], "doi": []}, {"id": "c81430d4a9171d52920e36cc85bbfdea8457487b", "title": "3D tracking targets via kinematic model weighted particle filter", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552992", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552992", "http://doi.org/10.1109/ICME.2016.7552992"]}, {"id": "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "title": "Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.06654.pdf"], "doi": []}, {"id": "4d90d7834ae25ee6176c096d5d6608555766c0b1", "title": "Face and Body Association for Video-Based Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354115", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00011", "http://doi.org/10.1109/WACV.2018.00011"]}, {"id": "574476d73737fc8cdf2fde04a9750d1c3d83934c", "title": "Tracking All Road Users at Multimodal Urban Traffic Intersections", "year": "2016", "pdf": ["http://n.saunier.free.fr/saunier/stock/jodoin16tracking.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/hcding/201612011010/Tracking%20All%20Road%20Users%20at%20Multimodal.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7457695", "http://doi.org/10.1109/TITS.2016.2545245"]}, {"id": "1ea2a53a6cb9c08312276a2f0646935d5fab5ed3", "title": "Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.4481.pdf"], "doi": []}, {"id": "c4ec7ba2541258913425bacf925927becad83033", "title": "Improvement of Person Tracking Accuracy in Camera Network by Fusing WiFi and Visual Information", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1660", "http://www.informatica.si/index.php/informatica/article/download/1660/1022"]}, {"id": "5b74a57508069c719cff3c5410984be76f6b7785", "title": "Monotonicity and error type differentiability in performance measures for target detection and tracking in video", "year": "2012", "pdf": ["http://research.microsoft.com/pubs/160662/MSR-TR-2012-23.pdf", "http://www.researchgate.net/profile/Ido_Leichter/publication/256084992_Monotonicity_and_error_type_differentiability_in_performance_measures_for_target_detection_and_tracking_in_video/links/54e07f410cf2953c22b4d5f3.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MSR-TR-2012-23.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6494576", "http://doi.org/10.1109/TPAMI.2013.70", "https://www.ncbi.nlm.nih.gov/pubmed/23568961", "https://www.wikidata.org/entity/Q45802783"]}, {"id": "6512f42fd70b42300ea3f318e860d270cd6d3b0a", "title": "Joint multi-person detection and tracking from overlapping cameras", "year": "2014", "pdf": ["http://gavrila.net/cviu14.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.06.003"]}, {"id": "14261ffecd904d9aff97d98c70e49ec1d870112f", "title": "Online learning based multiple pedestrians tracking in thermal imagery for safe driving at night", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535367", "http://doi.org/10.1109/IVS.2016.7535367"]}, {"id": "14f0283c703e450e5f17cbe94878896de865ce30", "title": "Robust Visual Tracking for Multiple Targets with Data Association and Track Management", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/14f0/283c703e450e5f17cbe94878896de865ce30.pdf"], "doi": []}, {"id": "3e7b5b07da3465103929b4347852d456c0f0ed58", "title": "Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05842.pdf"], "doi": []}, {"id": "8d9f793bbf6a36285308fdaf2886c9c377f40413", "title": "Optimizing process for tracking people in video-camera network. (Optimisation du suivi de personnes dans un r\u00e9seau de cam\u00e9ras)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8d9f/793bbf6a36285308fdaf2886c9c377f40413.pdf"], "doi": []}, {"id": "cbae3eaf926aede9bec7ce2e28c35c1c50b1b43f", "title": "Fast RGB-D people tracking for service robots", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbae/3eaf926aede9bec7ce2e28c35c1c50b1b43f.pdf"], "doi": []}, {"id": "2e713b922c760b7cc8d3e7d12088e9806f2e9a8d", "title": "Exploring structure for long-term tracking of multiple objects in sports videos", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06454.pdf"], "doi": []}, {"id": "391ad25a3c5c7c504d46bbd21cb13464dfe052e6", "title": "Deep Multi-View Correspondence for Identity-Aware Multi-Target Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227423", "http://doi.org/10.1109/DICTA.2017.8227423"]}, {"id": "f61416e740ab891824c27ebde50cd7c78002001c", "title": "Deceived bilateral filter for improving the automatic cell segmentation and tracking in the NF-kB pathway without nuclear staining", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f614/16e740ab891824c27ebde50cd7c78002001c.pdf"], "doi": []}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "82ff25b6e7749e0210b2f8d5a0666f3499745154", "title": "Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/82ff/25b6e7749e0210b2f8d5a0666f3499745154.pdf"], "doi": []}, {"id": "7730fd15ff14dd84d71f965bfeab8e4d790d91d8", "title": "SpaRTA - Tracking across occlusions via global partitioning of 3D clouds of points", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05878.pdf"], "doi": []}, {"id": "f869693e44828d09bffd1d79f872071aa09ffd57", "title": "Mean-Field methods for Structured Deep-Learning in Computer Vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f869/693e44828d09bffd1d79f872071aa09ffd57.pdf"], "doi": []}, {"id": "65341edca2f74ffad7d0aa56f20558f5305b307e", "title": "Co-design of architectures and algorithms for mobile robot localization and model-based detection of obstacles. (Co-conception d'architectures et d'algorithmes pour la localisation de robots mobiles et la d\u00e9tection d'obstacles bas\u00e9e sur des mod\u00e8les)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae2a/b8c61522e2ea48b2ae4695901e39b1bc93bb.pdf"], "doi": []}, {"id": "c1f2887cf7ceb5c34138cec1ee6a7fa4869e58aa", "title": "Multiple human tracking using 3D ellipsoidal model and SIR-Particle Filter technique", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996140"]}, {"id": "32c16cbe2e6dd90de95150051114124177725be3", "title": "Joint Detection and Online Multi-object Tracking", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w29/Kieritz_Joint_Detection_and_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575355", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00195", "http://doi.org/10.1109/CVPRW.2018.00195"]}, {"id": "18babfe4c7230522527a068654eeea10b1a827fd", "title": "Discriminative Label Propagation for Multi-object Tracking with Sporadic Appearance Features", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Kumar_Discriminative_Label_Propagation_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751359", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.250", "http://doi.org/10.1109/ICCV.2013.250"]}, {"id": "ef8da5d714c269f9573dabb2da5ef5b33c13a0b0", "title": "Interactive Crowd Content Generation and Analysis Using Trajectory-Level Behavior Learning", "year": "2015", "pdf": ["http://gamma.cs.unc.edu/PDL/file/main.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7442270", "http://doi.ieeecomputersociety.org/10.1109/ISM.2015.89", "http://doi.org/10.1109/ISM.2015.89"]}, {"id": "dc7f3eb7d93676cc989d3ef8339804ade9d0c53e", "title": "Target Tracking with Kalman Filtering", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac7f/898ff5789914d423526c392ee61b979fdd8e.pdf"], "doi": []}, {"id": "8ec7194952ee9e7cf383b1a1b0aeccaed5b7daaa", "title": "Constrained multi-target tracking for team sports activities", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0038-z?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0038-z"]}, {"id": "57165586f65f25edd9d14f0173c4c35dab8c2e66", "title": "Aligning plot synopses to videos for story-based retrieval", "year": "2014", "pdf": ["http://www.cs.toronto.edu/~makarand/papers/IJMIR_plot-retrieval.pdf", "https://cvhci.anthropomatik.kit.edu/~mtapaswi/papers/IJMIR_plot-retrieval.pdf"], "doi": ["http://doi.org/10.1007/s13735-014-0065-9"]}, {"id": "e3cc912b9ca074e3d419c1dd289fd1b067fb61d5", "title": "Identifying multiple objects from their appearance in inaccurate detections", "year": "2015", "pdf": ["http://gavrila.net/cviu15_lda.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.012"]}, {"id": "a110602d15b1c98459071501483366a56cfb59d5", "title": "Online Video Text Detection with Markov Decision Process", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395179", "http://doi.ieeecomputersociety.org/10.1109/DAS.2018.20", "http://doi.org/10.1109/DAS.2018.20"]}, {"id": "4b7302e805eb079ccf2b9b6bf99c09479d4190e2", "title": "Multi-sensor identity tracking with event graphs", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631252", "http://doi.org/10.1109/ICRA.2013.6631252"]}, {"id": "e989286d575431d0c21d4e28a87c4d75ef99cb7a", "title": "Behavioral Pedestrian Tracking Using a Camera and LiDAR Sensors on a Moving Vehicle", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/e989/286d575431d0c21d4e28a87c4d75ef99cb7a.pdf"], "doi": []}, {"id": "aa5ed6ee0b2fd53df5cab952aa368f8c4908ffeb", "title": "REACH - Realtime crowd tracking using a hybrid motion model", "year": "2015", "pdf": ["http://gamma.cs.unc.edu/REACH/ICRA15Bera.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139261", "http://doi.org/10.1109/ICRA.2015.7139261"]}, {"id": "f9c580a24bd3f73190ccdd255208478e999d632d", "title": "DeWAFF: A novel image abstraction approach to improve the performance of a cell tracking system", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7160148"]}, {"id": "3e08d000ba3dd382c16e4295435ef8264235ccbc", "title": "Multiple People Tracking in Smart Camera Networks by Greedy Joint-Likelihood Maximization", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e08/d000ba3dd382c16e4295435ef8264235ccbc.pdf"], "doi": []}, {"id": "fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f", "title": "Multiple Object Tracking by Efficient Graph Partitioning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc30/d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f.pdf"], "doi": []}, {"id": "b98aec5bbe7116fa3ae5f9b4d77cb1f1141eaabd", "title": "Appearance-Based 3D Upper-Body Pose Estimation and Person Re-identification on Mobile Robots", "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Weinrich-SMC-2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6722501", "http://doi.org/10.1109/SMC.2013.748"]}, {"id": "25a5f7179b794ab2bb7283c8337480fccee51944", "title": "Two novel motion-based algorithms for surveillance video analysis on embedded platforms", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/25a5/f7179b794ab2bb7283c8337480fccee51944.pdf"], "doi": []}, {"id": "a9fcc7552ab942c0b54d05488da2310127fda764", "title": "Boosting Multi-hypothesis Tracking by Means of Instance-Specific Models", "year": "2012", "pdf": ["http://elvera.nue.tu-berlin.de/typo3/files/1368Paetzold2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328050", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.18", "http://doi.org/10.1109/AVSS.2012.18"]}, {"id": "b12c9773c6d948d36698666ec351a78c449c0d06", "title": "Figure-Aware Tracking under Occlusion from Monocular Videos", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281053"]}, {"id": "9ec2fc7df2db247a55a1af4fcb85710b25402ec1", "title": "Data fusion of radar and stereo vision for detection and tracking of moving objects", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813156"]}, {"id": "9fed3f4967bcdaebd1c321fee18fed865020a641", "title": "Objektsensitive Verfolgung und Klassifikation von Fu\u00dfg\u00e4ngern mit verteilten Multi-Sensor-Tr\u00e4gern", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9fed/3f4967bcdaebd1c321fee18fed865020a641.pdf"], "doi": []}, {"id": "3d21b7b4f48e614bc2f2b87eb110aa329b7d66d8", "title": "Recognizing Human Actions by Using Effective Codebooks and Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3d21/b7b4f48e614bc2f2b87eb110aa329b7d66d8.pdf"], "doi": []}, {"id": "3d2758e39308a64d2163cb638e684f58f868dbbc", "title": "Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities", "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr13.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr_2013_draft.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c395.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Possegger_Robust_Real-Time_Tracking_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619154", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.310", "http://doi.org/10.1109/CVPR.2013.310"]}, {"id": "92a93693f43a49a7b320d5771c6afaff98b27864", "title": "Audio-visual signal processing in a multimodal assisted living environment", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/92a9/3693f43a49a7b320d5771c6afaff98b27864.pdf"], "doi": []}, {"id": "40fc2803d3df9759a3853b040588a7d9be9542d2", "title": "Perception-prediction-control architecture for IP Pan-Tilt-Zoom camera through Interacting Multiple Models", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/46741/46741.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295100", "http://doi.org/10.5220/0004674103140324"]}, {"id": "aaaefba1bd0a9a9ec6c66a822d11fb907a05625c", "title": "On Detection, Data Association and Segmentation for Multi-target Tracking.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/aaae/fba1bd0a9a9ec6c66a822d11fb907a05625c.pdf"], "doi": []}, {"id": "bab47c7bf80c9310f947cbdaf71b3c983c497b68", "title": "Systematic Parameter Optimization and Application of Automated Tracking in Pedestrian Dominant Situations Date of submission : 2014-0801", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bab4/7c7bf80c9310f947cbdaf71b3c983c497b68.pdf"], "doi": []}, {"id": "5bae9822d703c585a61575dced83fa2f4dea1c6d", "title": "MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01942.pdf"], "doi": []}, {"id": "3da12b99cd8040bb374eed160f8016b3fe492967", "title": "Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context", "year": "2016", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2015/Multi-person%20tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7362180", "http://doi.org/10.1109/TCSVT.2015.2511480"]}, {"id": "1d4f56a9bb093c52569917537a93c7671db28e6f", "title": "Real-time Tracking of Player Identities in Team Sports", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1d4f/56a9bb093c52569917537a93c7671db28e6f.pdf"], "doi": []}, {"id": "280eea0fa86c811b5422012788853514876854aa", "title": "Multiple Feature Fusion in the Dempster-Shafer Framework for Multi-object Tracking", "year": "2014", "pdf": ["http://www.polymtl.ca/litiv/doc/RiahietAlCRV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6816859", "http://doi.ieeecomputersociety.org/10.1109/CRV.2014.49", "http://doi.org/10.1109/CRV.2014.49"]}, {"id": "0fcda01765c5a0b4cff99b5ed5139a6e1eddb689", "title": "Exploiting Long-Term Connectivity and Visual Motion in CRF-Based Multi-Person Tracking", "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/200304/files/Heili_TIP_2014.pdf", "http://publications.idiap.ch/downloads/reports/2013/Heili_Idiap-RR-06-2014.pdf", "http://publications.idiap.ch/downloads/reports/2014/Heili_Idiap-RR-05-2014.pdf", "http://www.idiap.ch/~odobez/publications/HeiliLopezOdobez-CRF-Tracking-TIP-2014.pdf", "https://infoscience.epfl.ch/record/198851/files/Heili_Idiap-RR-05-2014.pdf", "https://infoscience.epfl.ch/record/198852/files/Heili_Idiap-RR-06-2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6815670", "http://doi.org/10.1109/TIP.2014.2324292", "https://www.ncbi.nlm.nih.gov/pubmed/24835228", "https://www.wikidata.org/entity/Q50617362"]}, {"id": "788a4db5d51b26880ea1d092c121804592b0ef5e", "title": "Track-to-track fusion for multi-target tracking using asynchronous and delayed data", "year": "2017", "pdf": [], "doi": []}, {"id": "128ea529f079431220ea63229c934f36287910f9", "title": "Robust Vehicle Surveillance in Night Traffic Videos Using an Azimuthally Blur Technique", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957584", "http://doi.org/10.1109/TVT.2014.2371067"]}, {"id": "baa6be848d52268b71c2486e43940dc64412543c", "title": "Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227468", "http://doi.org/10.1109/DICTA.2017.8227468"]}, {"id": "4163947e9f6538df8e4171b1e5f378d2728099df", "title": "Microscopic crowd simulation : evaluation and development of algorithms. (Simulation microscopique de foules : \u00e9valuation et d\u00e9veloppement d'algorithmes)", "year": "2016", "pdf": ["https://tel.archives-ouvertes.fr/tel-01420105/file/WOLINSKI_David.pdf"], "doi": ["https://tel.archives-ouvertes.fr/tel-01420105"]}, {"id": "a6e7513371a49cd7b8b30bb444e8fc448c5326cb", "title": "Simple online and realtime tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00763.pdf"], "doi": []}, {"id": "4b0893bf71e4e13529cefb286c78b166a9491552", "title": "Estimating orientation in tracking individuals of flying swarms", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001496.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471926", "http://doi.org/10.1109/ICASSP.2016.7471926"]}, {"id": "ccde43d13203bf29ccf351e8c9a79ee4b0b36142", "title": "Combining patch matching and detection for robust pedestrian tracking in monocular calibrated cameras", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Claudio_Jung/publication/260042947_Combining_patch_matching_and_detection_for_robust_pedestrian_tracking_in_monocular_calibrated_cameras/links/0deec53345668eb9ff000000.pdf", "https://pdfs.semanticscholar.org/ccde/43d13203bf29ccf351e8c9a79ee4b0b36142.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2013.08.031"]}, {"id": "48c494a8f1fdda835417ccc395a42fe210efec2c", "title": "Efficient Spatio-Temporal Data Association Using Multidimensional Assignment in Multi-Camera Multi-Target Tracking", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db3d/dc4b57a231ce18ba24731e8427ede7cbab1c.pdf"], "doi": []}, {"id": "baf3b3abb3b449a8c1c7850c3ba0ae813aa6d2ad", "title": "A variational approach to simultaneous multi-object tracking and classification", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1177/0278364915583881"]}, {"id": "687ec23addf5a1279e49cc46b78e3245af94ac7b", "title": "UvA-DARE ( Digital Academic Repository ) Visual Tracking : An Experimental Survey Smeulders", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/687e/c23addf5a1279e49cc46b78e3245af94ac7b.pdf"], "doi": []}, {"id": "0816cbac9ea8f4425d9b57fd46174cb35cd5d7cc", "title": "People tracking in RGB-D data with on-line boosted target models", "year": "2011", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/luberIROS11.pdf", "http://www2.informatik.uni-freiburg.de/~arras/papers/luberIROS11.pdf", "http://www2.informatik.uni-freiburg.de/~luber/iros11/luberIROS11.pdf", "http://www2.informatik.uni-freiburg.de/~spinello/luberIROS11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6095075", "http://doi.org/10.1109/IROS.2011.6095075"]}, {"id": "159b87e6e68b18f4daa3505bfc415be9b21a7db6", "title": "Tracking The Invisible Man - Hidden-object Detection for Complex Visual Scene Understanding", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/159b/87e6e68b18f4daa3505bfc415be9b21a7db6.pdf"], "doi": []}, {"id": "45ca696076e9c073e6cf699766f808899589bc88", "title": "Aalborg Universitet Thermal Tracking of Sports Players", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1be2/ea37f0632fe1df4181f8931b69b8528cdd66.pdf"], "doi": []}, {"id": "e10a257f1daf279e55f17f273a1b557141953ce2", "title": "A survey of approaches and trends in person re-identification", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-9.pdf", "http://romisatriawahono.net/lecture/rm/survey/computer%20vision/Gala%20-%20Person%20Reidentification%20-%202014.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.001"]}, {"id": "bfe69413c439327680cba369c155f1d0fffb401d", "title": "A Sampling Algorithm for Occlusion Robust Multi Target Detection", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5279719", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2009.79", "http://doi.org/10.1109/AVSS.2009.79"]}, {"id": "3039a08c66d45168ab871303407d7e3047529bf6", "title": "Audio-visual tracking of multiple moving speakers.", "year": "2016", "pdf": [], "doi": []}, {"id": "65237b5e96c7492a0e5d01ddea5b1d381da408cd", "title": "A human-machine collaborative approach to tracking human movement in multi-camera video", "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1646436"]}, {"id": "9fd7d9e982fc2c0710a25f4df568d35262deda8c", "title": "A Unified Video Text Detection Method with Network Flow", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269993", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.62", "http://doi.org/10.1109/ICDAR.2017.62"]}, {"id": "6475c1e95da0a3bd36786a32d00a893d85460e9e", "title": "Combined image- and world-space tracking in traffic scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.07357.pdf"], "doi": []}, {"id": "486a0044b9c86c6f648f153f3d3f2e534342b754", "title": "Trajectories and Maneuvers of Surrounding Vehicles With Panoramic Camera Arrays", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/Trajectories-LISA-tiv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725511", "http://doi.org/10.1109/TIV.2016.2622921"]}, {"id": "ae872749c88331a93f8078aebf3a8d7f6d9c48fa", "title": "Modeling local behavior for predicting social interactions towards human tracking", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-10.pdf", "http://www2.cs.uh.edu/~xuyan/docs/pr2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.10.019"]}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "1ff89bd94d8a21b7ca4bf844e2d366f854822918", "title": "Robust Online Multi-object Tracking by Maximum a Posteriori Estimation with Sequential Trajectory Prior", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1ff8/9bd94d8a21b7ca4bf844e2d366f854822918.pdf"], "doi": []}, {"id": "3d3f9c4e14f5a1cbac756045dd22d2fcd3056169", "title": "A Novel Multi-Detector Fusion Framework for Multi-Object Tracking", "year": "2017", "pdf": [], "doi": []}, {"id": "aa01a6124ca44e88b1e6819ec434d7a26efd956a", "title": "Combined segmentation, reconstruction, and tracking of multiple targets in multi-view video sequences", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2016.08.006"]}, {"id": "e9c000b765ba5519050a61726e007c430cd5bfcb", "title": "Computer Vision \u2013 ECCV 2016 Workshops", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08434.pdf"], "doi": []}, {"id": "869df5e8221129850e81e77d4dc36e6c0f854fe6", "title": "A metric for sets of trajectories that is practical and mathematically consistent", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03094.pdf"], "doi": []}, {"id": "f668ada16a00836498445bd29037e4af21f75d7a", "title": "People Tracking on a Mobile Companion Robot", "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Volkhardt-SMC-2013b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6722496", "http://doi.org/10.1109/SMC.2013.743"]}, {"id": "4938651efabea4c55acb9485bdb0858a82e9013f", "title": "Labeled multi-Bernoulli tracking for industrial mobile platform safety", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.05966.pdf"], "doi": []}, {"id": "f59ac278349083a50871822ea08172258030265a", "title": "Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials", "year": "2016", "pdf": ["https://cse.sc.edu/~songwang/document/tip16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7536127", "http://doi.org/10.1109/TIP.2016.2598640"]}, {"id": "b040302c9e6dfc1501a70bed4636fe83730a26db", "title": "Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking", "year": "2016", "pdf": ["http://homepages.laas.fr/lerasle/pdf/eccv2016.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-46484-8_47", "https://hal.laas.fr/hal-01763166/document"]}, {"id": "7a329ed2735f5401d6f978036fb859b10a4fb96a", "title": "Fast Metric Multi-Object Vehicle Tracking for Dynamical Environment Comprehension", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7402161"]}, {"id": "ce12bbb8ce974df4b64f18e478d7fa99b722de03", "title": "A Hybrid Data Association Framework for Robust Online Multi-Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10764.pdf"], "doi": []}, {"id": "03306aa44c4073c14fd798229ef5c81c6ae50314", "title": "Automated Detection of Handwritten Whiteboard Content in Lecture Videos for Summarization", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8563220"]}, {"id": "cad7845e9668884caf4842b14983ec0e45bbbc75", "title": "Urban Tracker: Multiple object tracking in urban mixed traffic", "year": "2014", "pdf": ["http://www.jpjodoin.com/urbantracker/download/JodoinetAlWACV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836010", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836010", "http://doi.org/10.1109/WACV.2014.6836010"]}, {"id": "5e56c8776b5aa6edce068255134ea31670755b0c", "title": "Robust indoor speaker recognition in a network of audio and video sensors", "year": "2016", "pdf": ["http://www.research.ed.ac.uk/portal/files/28459152/1_s2.0_S0165168416300603_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/10652580/1_s2.0_S0165168416300603_main.pdf"], "doi": ["http://doi.org/10.1016/j.sigpro.2016.04.014"]}, {"id": "e5f39fee9b241b83f27ff9fce0fd027268c6d030", "title": "Multi-object tracking using dominant sets", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0297"]}, {"id": "e5a67c425ef3947f2294964692c9c3efc8d0ccab", "title": "Robust online multiple object tracking based on the confidence-based relative motion network and correlation filter", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533007", "http://doi.org/10.1109/ICIP.2016.7533007"]}, {"id": "795dec6a13b47655145e635a0e7b1ec04021ad7c", "title": "Multi-target Tracking in Crowded Scenes", "year": "2011", "pdf": ["https://www.dirk-farin.net/publications/data/Farin2011a.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-23123-0_41"]}, {"id": "e48dea5a5c4d74ec12b6817997bbef7975bde526", "title": "Planetary Monocular Simultaneous Localization and Mapping", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1002/rob.21608"]}, {"id": "44880df54e6caa3e7263db7a4d5cb77838f4698f", "title": "Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01394.pdf"], "doi": []}, {"id": "866dd3a16e035a7c724f8ec02d26e45655f7a002", "title": "Human tracking using TLD with Automatic Initiation", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3242855"]}, {"id": "0b5decf8a99c49a64dfed76d4d31b0b71c293767", "title": "Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04091.pdf"], "doi": []}, {"id": "f86792e5f5214a7a79b80d90ab1957a9050100ea", "title": "Advances of Scene Text Datasets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05219.pdf"], "doi": []}, {"id": "c610db0ee2d111452f70ce4854e48ab9d5c2b1ab", "title": "Fast and Robust Multi-people Tracking from RGB-D Data for a Mobile Robot", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2bb4/5b2d3205e4631ccde488f1a8619c9625f481.pdf"], "doi": []}, {"id": "40d4fab85e2e1557e61d03b92429d64c6efba101", "title": "Detection-based multi-human tracking using a CRF model", "year": "2011", "pdf": ["http://publications.idiap.ch/downloads/papers/2011/Heili_ICCV-VS_2011.pdf", "http://publications.idiap.ch/downloads/papers/2011/Heili_VS2011_2011.pdf", "http://www.idiap.ch/~odobez/publications/HeiliChenOdobez-ICCV-VS-2011.pdf", "https://infoscience.epfl.ch/record/192447/files/Heili_ICCV-VS_2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130451", "http://doi.org/10.1109/ICCVW.2011.6130451"]}, {"id": "291be6e3027575287c24f4363e4bf7a8b415d4c1", "title": "MSER-Based Real-Time Text Detection and Tracking", "year": "2014", "pdf": ["http://refbase.cvc.uab.es/files/GoK2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977248", "http://doi.org/10.1109/ICPR.2014.536"]}, {"id": "6b78f2ece211c2d1eb6699e1e057b7beb3e0b4a7", "title": "GM-PHD-Based Multi-Target Visual Tracking Using Entropy Distribution and Game Theory", "year": "2014", "pdf": ["http://personal.cityu.edu.hk/~meyfli/Publication/file/ZXL_TII14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678810", "http://doi.org/10.1109/TII.2013.2294156"]}, {"id": "d7f7eb0fbe3339d13f5a6a23df0fd27fdb357d48", "title": "Intention-Aware Multi-Human Tracking for Human-Robot Interaction via Particle Filtering over Sets", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d7f7/eb0fbe3339d13f5a6a23df0fd27fdb357d48.pdf"], "doi": []}, {"id": "cef092bf9beed65e379ab48ef2b43498d4aaea92", "title": "Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cef0/92bf9beed65e379ab48ef2b43498d4aaea92.pdf"], "doi": []}, {"id": "4443ee5eaa56e41acddb62cacbc2f6d8c84ccd59", "title": "Multiple Objects Fusion Tracker Using a Matching Network for Adaptively Represented Instance Pairs", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4443/ee5eaa56e41acddb62cacbc2f6d8c84ccd59.pdf"], "doi": []}, {"id": "c9df1be91e16b3fb566e54fb0bc4ae58cce9935e", "title": "Multiple pedestrians tracking algorithm by incorporating histogram of oriented gradient detections", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2012.0500"]}, {"id": "300b819bbbe857f5fe89d0895f907073fc288719", "title": "Towards a Robust People Tracking Framework for Service Robots in Crowded , Dynamic Environments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/300b/819bbbe857f5fe89d0895f907073fc288719.pdf"], "doi": []}, {"id": "2efc4eee3953f6b52e23989bbcc2598a91e18ba0", "title": "External Cameras and a Mobile Robot for Enhanced Multi-person Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2efc/4eee3953f6b52e23989bbcc2598a91e18ba0.pdf"], "doi": []}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "8aa5f1b2639da73c2579ea9037a4ebf4579fdc4f", "title": "A Steerable multitouch Display for Surface Computing and its Evaluation", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8aa5/f1b2639da73c2579ea9037a4ebf4579fdc4f.pdf"], "doi": []}, {"id": "094aaeac2712700e340827e2ed2b6d6e4c556ded", "title": "A single performance characteristic for the evaluation of seeker tracking algorithms", "year": "2014", "pdf": ["http://www.scitepress.org/papers/2013/43911/43911.pdf"], "doi": ["https://doi.org/10.1134/S1054661814020047"]}, {"id": "af8cd04bbe4902123d7042985159a6a5da9d9fb9", "title": "Repr\u00e9senter pour suivre : Exploitation de repr\u00e9sentations parcimonieuses pour le suivi multi-objets. (Representing to follow: Exploitation of parsimonious representations for multi-object tracking)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/af8c/d04bbe4902123d7042985159a6a5da9d9fb9.pdf"], "doi": []}, {"id": "5d15b9a200f1eea522846cfeacbec77a7b59a8b7", "title": "Scene Aware Detection and Block Assignment Tracking in crowded scenes", "year": "2012", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/%5B2012%5D%5BIVC%5DScene%20Aware%20Detection%20and%20Block%20Assignment%20Tracking%20in%20crowded%20scenes_FinalPublishCopy.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.02.008"]}, {"id": "2965d092ed72822432c547830fa557794ae7e27b", "title": "Improving representation and classification of image and video data for surveillance applications", "year": "2012", "pdf": [], "doi": []}, {"id": "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "title": "Online multi-object tracking via robust collaborative model and sample selection", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu16_MOT.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cviu17_MOT.pdf", "https://users.encs.concordia.ca/~rcmss/include/Papers/CVIU2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.07.003"]}, {"id": "6b55153f8d87bfd0dfb2f24eb2aa61d40e314cae", "title": "Track, Then Decide: Category-Agnostic Vision-Based Multi-Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07920.pdf"], "doi": []}, {"id": "2a8812f286669c4bc0eca462c6cbd90a4a9fb5a8", "title": "Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios", "year": "2010", "pdf": ["http://conradsanderson.id.au/pdfs/sanin_shadow_removal_icpr_2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597618", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.43", "http://doi.org/10.1109/ICPR.2010.43"]}, {"id": "35e730f7967155b9394f9e5d3cadf2b955ce9a7b", "title": "Deep Affinity Network for Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11780.pdf"], "doi": []}, {"id": "3dffacda086689c1bcb01a8dad4557a4e92b8205", "title": "Multiple Object Tracking: A Literature Review", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7618.pdf"], "doi": []}, {"id": "29a46aed79df53a1984ee755bed4c8ba2ae94040", "title": "Multiple Object Tracking Using K-Shortest Paths Optimization", "year": "2011", "pdf": ["http://cmp.felk.cvut.cz/~navara/RG/berclaz-et-al-tpami2011.pdf", "http://cvlab.epfl.ch/files/content/sites/cvlab2/files/publications/publications/2011/BerclazFTF11.pdf", "https://infoscience.epfl.ch/record/164041/files/top.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5708151", "http://doi.org/10.1109/TPAMI.2011.21", "https://www.ncbi.nlm.nih.gov/pubmed/21282851", "https://www.wikidata.org/entity/Q50688623"]}, {"id": "b35464a8609a257b0b43b1a0faee0402a054f1be", "title": "Towards the evaluation of reproducible robustness in tracking-by-detection", "year": "2015", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/avss_2015_calderara.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301755", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301755", "http://doi.org/10.1109/AVSS.2015.7301755"]}, {"id": "235f4fad10a5d9e043759354a7cb94122a8f10fc", "title": "Multi-perspective vehicle detection and tracking: Challenges, dataset, and metrics", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0575.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795671", "http://doi.org/10.1109/ITSC.2016.7795671"]}, {"id": "92980965514210b4f6dd074d122078d54684f724", "title": "Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06415.pdf"], "doi": []}, {"id": "5014f5dd9d3586dae0572325085647ddc187fa3f", "title": "Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Kuk-Jin_Yoon/publication/262109502_Robust_Online_Multiobject_Tracking_With_Data_Association_and_Track_Management/links/547682310cf2778985b08003.pdf", "https://cvl.gist.ac.kr/wp-content/uploads/2014/04/CVPR_2014_Online_MTT_Confidence_Rd.pdf", "https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Bae_Robust_Online_Multi-Object_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909555", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.159", "http://doi.org/10.1109/CVPR.2014.159"]}, {"id": "d7f22666206258c206c4634ad9b22f95e44504f5", "title": "Iterative refinement of multiple targets tracking of solar events", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7004402", "http://doi.org/10.1109/BigData.2014.7004402"]}, {"id": "e0f3b8cbf90096bb0d4b36324c6fe7db89f580b9", "title": "R\u00e9-identification de personnes : Application aux r\u00e9seaux de cam\u00e9ras \u00e0 champs disjoints", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e0f3/b8cbf90096bb0d4b36324c6fe7db89f580b9.pdf"], "doi": []}, {"id": "c74a42afeae520ff6ab280d17bccf0d082ba8de5", "title": "The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c74a/42afeae520ff6ab280d17bccf0d082ba8de5.pdf"], "doi": []}, {"id": "35af45f799c65d21bbb3cd24f666de861bad33b0", "title": "Multi-Target Tracking by Discrete-Continuous Energy Minimization", "year": "2016", "pdf": ["http://www.milanton.de/files/pami2016/pami2016-anton.pdf", "http://www.visinf.tu-darmstadt.de/media/visinf/vi_papers/2015/milan-pami-preprint.pdf", "https://download.visinf.tu-darmstadt.de/papers/2016-pami-milan-multi_target_tracking_dc-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346505", "http://doi.org/10.1109/TPAMI.2015.2505309", "https://www.ncbi.nlm.nih.gov/pubmed/26660703", "https://www.wikidata.org/entity/Q40218457"]}, {"id": "2323cb559c9e18673db836ffc283c27e4a002ed9", "title": "Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association", "year": "2016", "pdf": ["http://arxiv.org/pdf/1605.04502v1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w12/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.55", "http://doi.org/10.1109/CVPRW.2016.55"]}, {"id": "9662acb7fa75691ff0e7d1be87763af469419b8b", "title": "Multi Object Tracking Algorithm use in Video Surveillance Systems", "year": "2015", "pdf": [], "doi": []}, {"id": "08030f9d34cc96384f672d9f9f296914d594335b", "title": "Multiple Object Tracking: A Review", "year": "2014", "pdf": [], "doi": []}, {"id": "29d291e71334392f6a04c53a4194d4ff29a460bf", "title": "Multiple human tracking in RGB-depth data: a survey", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/29d2/91e71334392f6a04c53a4194d4ff29a460bf.pdf"], "doi": []}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"], "doi": []}, {"id": "fca56ec29f1d567f829be5f8477a81f1ce732f86", "title": "Social Force Model-Based MCMC-OCSVM Particle PHD Filter for Multiple Human Tracking", "year": "2017", "pdf": ["http://epubs.surrey.ac.uk/813052/13/FengWDNC_TMM_2016_postprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779037", "http://doi.org/10.1109/TMM.2016.2638206"]}, {"id": "71599901b889e24372012ac405d5cfaef79f94b8", "title": "Better models for people tracking", "year": "2011", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/luberICRA11.pdf", "http://www2.informatik.uni-freiburg.de/~luber/icra11/luberICRA11.pdf", "http://www2.informatik.uni-freiburg.de/~tipaldi/sites/default/files/luberICRA11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5980296", "http://doi.org/10.1109/ICRA.2011.5980296"]}, {"id": "9a40afeb829b7f7f7696c9c0767a5da8cc5eed5a", "title": "Active colloids segmentation and tracking", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.04.022"]}, {"id": "1bea531e8271202462c7907f60a8458fa5aec00d", "title": "Ein generisches System zur automatischen Detektion, Verfolgung und Wiedererkennung von Personen in Videodaten", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1bea/531e8271202462c7907f60a8458fa5aec00d.pdf"], "doi": []}, {"id": "e90816e1a0e14ea1e7039e0b2782260999aef786", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"], "doi": []}, {"id": "d8671247f6188620c6e382ffcd15d3e909647c63", "title": "Multicamera human detection and tracking supporting natural interaction with large-scale displays", "year": "2012", "pdf": ["http://users.ics.forth.gr/~argyros/mypapers/2012_XX_journal_mva_macrografia.pdf", "http://users.ics.forth.gr/~zabulis/macrographia.pdf"], "doi": ["http://doi.org/10.1007/s00138-012-0408-6", "https://www.wikidata.org/entity/Q57736337"]}, {"id": "0c25a4636ebde18e229f7e459f1adaab1e9a2db9", "title": "Multi-class Classification and Clustering based Multi-object Tracking", "year": "", "pdf": ["https://pdfs.semanticscholar.org/0c25/a4636ebde18e229f7e459f1adaab1e9a2db9.pdf"], "doi": []}, {"id": "0f94f4934d0a26dfd243852036468ecc9bf8d22c", "title": "Low Resolution Lidar-Based Multi-Object Tracking for Driving Applications", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f94/f4934d0a26dfd243852036468ecc9bf8d22c.pdf"], "doi": []}, {"id": "ab98cb28dc85f85da8b7b3acb090008bab26dd54", "title": "Qualitative Evaluation of Tracking Systems: A Model based approach", "year": "2012", "pdf": [], "doi": []}, {"id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "title": "Stable multi-target tracking in real-time surveillance video", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995667"]}, {"id": "13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d", "title": "Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.04502.pdf"], "doi": []}, {"id": "213255dca20f9a62d5121bb3c875d99c57913a25", "title": "Local cellular neighborhood controls proliferation in cell competition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2132/55dca20f9a62d5121bb3c875d99c57913a25.pdf"], "doi": []}, {"id": "1454b646866052ef61a838737bd74ae191210cf0", "title": "Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01909.pdf"], "doi": []}, {"id": "eb8ee9e0672241ab3acf7ded2d22d97861da65fe", "title": "Towards Quality Aware Collaborative Video Analytic Cloud", "year": "2012", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-37.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6253500", "http://doi.ieeecomputersociety.org/10.1109/CLOUD.2012.141", "http://doi.org/10.1109/CLOUD.2012.141"]}, {"id": "48705017d91a157949cfaaeb19b826014899a36b", "title": "PROBABILISTIC MULTI-PERSON TRACKING USING DYNAMIC BAYES NETWORKS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4870/5017d91a157949cfaaeb19b826014899a36b.pdf"], "doi": []}, {"id": "becb704450c6b2f7f57f03955036a5b66380b816", "title": "A Software Architecture for RGB-D People Tracking Based on ROS Framework for a Mobile Robot", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/becb/704450c6b2f7f57f03955036a5b66380b816.pdf"], "doi": []}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "42c40c668b5c0c28f63915b069641100f4f0e39e", "title": "Tracking-by-reidentification in a Non-overlapping Fields of View Cameras Network", "year": "2012", "pdf": [], "doi": []}, {"id": "5cdb9ef5ad646a6bdcc7c1fc33eab24e0a4a6bc1", "title": "Tracking When the Camera Looks Away", "year": "2015", "pdf": ["http://crcv.ucf.edu/papers/Soomro_ICCVW15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w21/papers/Soomro_Tracking_When_the_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406450", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.101", "http://doi.org/10.1109/ICCVW.2015.101"]}, {"id": "6008ac8efbea0f9cfddfabbfa02f62f742685028", "title": "An equalised global graphical model-based approach for multi-camera object tracking", "year": "2015", "pdf": [], "doi": []}, {"id": "367b5b814aa991329c2ae7f8793909ad8c0a56f1", "title": "Performance evaluation of random set based pedestrian tracking algorithms", "year": "2013", "pdf": ["https://arxiv.org/pdf/1211.0191.pdf"], "doi": []}, {"id": "05036f4b48857275f50a191f83f7ac1ff0bfc5b1", "title": "Trade-off Between GPGPU based Implementations of Multi Object Tracking Particle Filter.", "year": "2017", "pdf": ["http://www.scitepress.org/Papers/2017/60923/60923.pdf"], "doi": ["http://doi.org/10.5220/0006092301230131", "https://hal.laas.fr/hal-01763095/document"]}, {"id": "da523ee3b7e8077713ebb7d903c3dc3bcb78921a", "title": "Multi-person tracking-by-detection based on calibrated multi-camera systems", "year": "2012", "pdf": ["http://hera.inf-cv.uni-jena.de:6680/pdf/Jiang12:MTB.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33564-8_89"]}, {"id": "e66925e6aad8d89b8a140b70e495bcbde72c8011", "title": "DEVELOPMENT OF A VISUAL OBJECT TRACKING SYSTEM USING COMPRESSIVE SENSIG FRAMEWORK FOR MODELLING THE APPEARANCE DESARROLLO DE UN SISTEMA DE SEGUIMIENTO DE OBJETOS USANDO LA TEORI\u0301A DE \u201cCOMPRESSIVE SENSING\u201d PARA MODELAR LA APARIENCIA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e669/25e6aad8d89b8a140b70e495bcbde72c8011.pdf"], "doi": []}, {"id": "169ae32829821d5e22c4744a42223f78a88de3b9", "title": "Joint Monocular 3D Vehicle Detection and Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10742.pdf"], "doi": []}, {"id": "55e28e4c174bb7ad2fd80be3c13a033bbd91ac7a", "title": "Detection and Tracking of General Movable Objects in Large 3 D Maps", "year": "2017", "pdf": [], "doi": []}, {"id": "632c114e12a6b88bd488ddfb1960d669f101ca3f", "title": "Multi-face tracking by extended bag-of-tracklets in egocentric photo-streams", "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.04576.pdf"], "doi": []}, {"id": "c8e32484bbbc63908080284790edafc4b66008d2", "title": "Suivi par r\u00e9-identification dans un r\u00e9seau de cam\u00e9ras \u00e0 champs disjoints", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c8e3/2484bbbc63908080284790edafc4b66008d2.pdf"], "doi": []}, {"id": "3504852a821693857b30c47e08374b479d29ff8f", "title": "Multiple Target Tracking with Recursive-RANSAC and Machine Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3504/852a821693857b30c47e08374b479d29ff8f.pdf"], "doi": []}, {"id": "a3650762391efbaa743b8212ee408b09f66f0604", "title": "Vision Based Multiple Target Tracking Using Recursive RANSAC", "year": "2015", "pdf": [], "doi": []}, {"id": "89e324b9c64a800e57ad82eddecc03f2cc0b7cc5", "title": "Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07468.pdf"], "doi": []}, {"id": "3b2f78a4edf5da876e52513d0e3960da7d3a253f", "title": "Qualitative Evaluation of Detection and Tracking Performance", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328006", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.57", "http://doi.org/10.1109/AVSS.2012.57"]}, {"id": "02e97e65fd0ec9a6d98a255d0396eb796a5e444a", "title": "Online Multiple View Tracking: Targets Association Across Cameras", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/02e9/7e65fd0ec9a6d98a255d0396eb796a5e444a.pdf"], "doi": []}, {"id": "1bf01e83fba634bab085ec5f0ab86a1a67da8577", "title": "An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1502.03532.pdf"], "doi": []}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"], "doi": []}, {"id": "7b78af7951708f6059d374e2385a69ea367f62d2", "title": "The positioning accuracy based on the UWB technology for an object on circular trajectory", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7b78/af7951708f6059d374e2385a69ea367f62d2.pdf"], "doi": []}, {"id": "e527cd5b8a74cb47b291ff5b3b793840e5fa5b11", "title": "Automatic trajectory measurement of large numbers of crowded objects", "year": "2013", "pdf": ["https://arxiv.org/pdf/1902.00835.pdf"], "doi": []}, {"id": "489ef25ef51b2a2e660f8085d482fa5801d59058", "title": "Interpolation-Based Object Detection Using Motion Vectors for Embedded Real-time Tracking Systems", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575254"]}, {"id": "500eeaffef9b28d9253d5ac3fd0bb3a9317e482a", "title": "HoG based real-time multi-target tracking in Bayesian framework", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738080", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738080", "http://doi.org/10.1109/AVSS.2016.7738080"]}, {"id": "1d08754a95715d1058772b48ecfb082bddfb16d8", "title": "Discriminative and Efficient Label Propagation on Complementary Graphs for Multi-Object Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.01124.pdf"], "doi": []}, {"id": "d4d3e579a2a8e3ca44d42e3bcc31c3f36b3e46a5", "title": "Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307067", "http://doi.org/10.1109/ACCESS.2018.2812794"]}, {"id": "c2f2c89d7615df07b540748d6c53485c4cbfa9c0", "title": "An Experience Report on Requirements-Driven Model-Based Synthetic Vision Testing", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c2f2/c89d7615df07b540748d6c53485c4cbfa9c0.pdf"], "doi": []}, {"id": "60978f66eac568ae65d3acdc6559273fc30bc8c4", "title": "GReTA-A Novel Global and Recursive Tracking Algorithm in Three Dimensions", "year": "2015", "pdf": ["https://arxiv.org/pdf/1305.1495.pdf"], "doi": []}, {"id": "72a79f351d4ae03ff940ff920898e41ce960f58e", "title": "Author's Personal Copy Backtracking: Retrospective Multi-target Tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/72a7/9f351d4ae03ff940ff920898e41ce960f58e.pdf"], "doi": []}, {"id": "6527cf0b9dbddbd0c6429a35a3cbded3ca336583", "title": "MCMC Supervision for People Re-identification in Nonoverlapping Cameras", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a997/1dbf42b913503198e63286b7656a6b62b1f5.pdf"], "doi": []}, {"id": "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "title": "Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10984.pdf"], "doi": []}, {"id": "9f182f2f1ed71e57cf56ef161e05ca3e8816fecc", "title": "Online Multi-Object Tracking via Combining Discriminative Correlation Filters With Making Decision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418354", "http://doi.org/10.1109/ACCESS.2018.2858853"]}, {"id": "22ee43dbd2bdefbc8945d453c6cd453f49ab5eb7", "title": "Urban Traffic Surveillance in Smart Cities Using Radar Images", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/22ee/43dbd2bdefbc8945d453c6cd453f49ab5eb7.pdf"], "doi": []}, {"id": "0b8c9acb478c856eb157c648b25b3d60117392fd", "title": "Learning to Divide and Conquer for Online Multi-target Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03956.pdf"], "doi": []}, {"id": "d120b3c3ea620cbc6400f0e31d584fd2f2e8c8b7", "title": "Realtime Pedestrian Tracking and Prediction in Dense Crowds", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/B978-0-12-809276-7.00020-5"]}, {"id": "f9296decd223b13fca96836caf42aa037cd5055e", "title": "Efficient Resource Allocation for Sparse Multiple Object Tracking", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f929/6decd223b13fca96836caf42aa037cd5055e.pdf"], "doi": []}, {"id": "2f04c7aaac3a884088be550d1be51b4a0b585a2e", "title": "Robust, Real-Time 3D Tracking of Multiple Objects with Similar Appearances", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Sekii_Robust_Real-Time_3D_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Sekii_Robust_Real-Time_3D_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780832", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.463", "http://doi.org/10.1109/CVPR.2016.463"]}, {"id": "6388c3f3559b61632942856bbede67b724542c9e", "title": "Multi-Target Tracking Using Hierarchical Convolutional Features and Motion Cues", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6388/c3f3559b61632942856bbede67b724542c9e.pdf"], "doi": []}, {"id": "21262e01039e5994114b4c102fc80e9afa3f1bde", "title": "Pedestrian Detection and Tracking in Thermal Images from Aerial MPEG Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2126/2e01039e5994114b4c102fc80e9afa3f1bde.pdf"], "doi": []}, {"id": "2bdc0c79b26fed51bc2af1af16117879ee3f571e", "title": "Augmented Multitouch Interaction upon a 2-DOF Rotating Disk", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2bdc/0c79b26fed51bc2af1af16117879ee3f571e.pdf"], "doi": []}, {"id": "2cc17e1ccb5f1f67f8ce882e683d8c66475330be", "title": "Multitarget tracking with the von Mises-Fisher filter and probabilistic data association", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2cc1/7e1ccb5f1f67f8ce882e683d8c66475330be.pdf"], "doi": []}, {"id": "7e703d57e9eea387f4d01e47f4990fbe403e4a8e", "title": "ICDAR 2013 Robust Reading Competition", "year": "2013", "pdf": ["http://dagdata.cvc.uab.es/icdar2013competition/files/icdar2013_competition_report.pdf", "http://refbase.cvc.uab.es/files/KSU2013.pdf", "http://vijaychan.github.io/Publications/2015%20ICDAR%20-%202015%20ICDAR%20Robust%20Reading%20Competition.pdf", "http://www.csse.uwa.edu.au/~shafait/papers/Dimos-Robust-Reading-Contest-ICDAR13.pdf", "http://www.cvc.uab.es/icdar2011competition/images/Robust_Reading_Challenge_1_v04_Print.pdf", "http://www.m.cs.osakafu-u.ac.jp/publication_data/1352/icdar_competition_report.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6628859", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2013.221", "http://doi.org/10.1109/ICDAR.2013.221"]}, {"id": "b8b202fa955801da840afc9f523d439d14d87cc1", "title": "A Novel Approach for Monocular 3 D Object Tracking in Cluttered Environment 853 Monocular Video Sequences", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b8b2/02fa955801da840afc9f523d439d14d87cc1.pdf"], "doi": []}, {"id": "0cb54b1d796bd24694b7a4fa1a35088d5c6bc313", "title": "An Online and Flexible Multi-object Tracking Framework Using Long Short-Term Memory", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w21/Wan_An_Online_and_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575325", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00169", "http://doi.org/10.1109/CVPRW.2018.00169"]}, {"id": "e38c0c03f272270aed6a39fbc6275b132dfb498d", "title": "Scene Video Text Tracking With Graph Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8283802", "http://doi.org/10.1109/ACCESS.2018.2797181"]}, {"id": "a67a84115304d3e55e00607d0dfbd3b20c8b8672", "title": "Particle filter based Conjoint Individual-Group Tracker (CIGT)", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301737", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301737", "http://doi.org/10.1109/AVSS.2015.7301737"]}, {"id": "c8633d0eff70feb0a378337237d4a03fec582290", "title": "Adaptive Patch-Based Background Modelling for Improved Foreground Object Segmentation and Tracking", "year": "2010", "pdf": ["http://conradsanderson.id.au/pdfs/reddy_adaptive_avss_2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597143", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2010.84", "http://doi.org/10.1109/AVSS.2010.84"]}, {"id": "b7e4f5531485b21c9ff6b0a3f93c15fb7a25ae81", "title": "Multiple Object Tracking Based on Robust Network Flow Model", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820465", "http://doi.ieeecomputersociety.org/10.1109/CIS.2016.0074", "http://doi.org/10.1109/CIS.2016.0074"]}, {"id": "62f5a4424ee0f383f3477cbd9d9e7b2e9c6adb14", "title": "Automatic generation of scene-specific person trackers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738079", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738079", "http://doi.org/10.1109/AVSS.2016.7738079"]}, {"id": "c1a35c25139e4eb94c34cbcca4eabe574c4466e8", "title": "3D Robotic Sensing of People: Human Perception, Representation and Activity Recognition", "year": "2014", "pdf": [], "doi": []}, {"id": "98a8ce914de8846105ee1ee56c0b201d0b0357ac", "title": "End-to-End Scene Text Recognition in Videos Based on Multi Frame Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270138", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.207", "http://doi.org/10.1109/ICDAR.2017.207"]}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "ce6d4264e63b195563f8b958c129b03cb2c989f5", "title": "MOTS: Multi-Object Tracking and Segmentation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03604.pdf"], "doi": []}, {"id": "76a8d37bab548faef5e7ee1653be8985ed0713ad", "title": "No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08755.pdf"], "doi": []}, {"id": "1e335a6d3cdfe8f53540766b1495c45f72d8fb2f", "title": "Multi-Target Tracking and Occlusion Handling With Learned Variational Bayesian Clusters and a Social Force Model", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01726.pdf"], "doi": []}, {"id": "1be32039596ff52fa09772f4606b65845d1c5853", "title": "Analysis-by-synthesis: Pedestrian tracking with crowd simulation models in a multi-camera video network", "year": "2015", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/78411.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/pedestriantrackingwithcrowdsim14.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.10.001"]}, {"id": "1d81293bc17a135cfd35912146c538cd81830381", "title": "Single camera multi-person tracking based on crowd simulation", "year": "2012", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2012/Single%20Camera%20Multi-person%20Tracking12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460958", "http://ieeexplore.ieee.org/document/6460958/"]}, {"id": "1e82a8965f08e8d38b16f39412e6e3c456f6f22e", "title": "Social force model aided robust particle PHD filter for multiple human tracking", "year": "2016", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0004398.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472508", "http://doi.org/10.1109/ICASSP.2016.7472508"]}, {"id": "2fa16dc0ee50550c1bf58c410912d48cddbc3554", "title": "Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.01890.pdf"], "doi": []}, {"id": "e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5", "title": "Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6d4/8d23308a9e0a215f7b5ba6ae30ee5d2f0ef5.pdf"], "doi": []}, {"id": "fcf0963095ff472132fe46d0cc543aff2735a0bb", "title": "A Framework to Combine Multi-Object Video Segmentation and Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227387", "http://doi.org/10.1109/DICTA.2017.8227387"]}, {"id": "95296302a7fc82edf782cece082d7319cfa584b7", "title": "Detection-free Bayesian Multi-object Tracking via Spatio-Temporal Video Bundles Grouping", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9529/6302a7fc82edf782cece082d7319cfa584b7.pdf"], "doi": []}, {"id": "296cacad71b4181eca4a571cf080d2baee229dcc", "title": "Towards Multi-Object Detection and Tracking in Urban Scenario under Uncertainties", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.02686.pdf"], "doi": []}, {"id": "10c077bf2dd1bed928926feb37837862ab786808", "title": "Multiple Target Tracking and Identity Linking under Split, Merge and Occlusion of Targets and Observations", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/10c0/77bf2dd1bed928926feb37837862ab786808.pdf"], "doi": []}, {"id": "a8d5f1416760dbd8d2993358938f85c7ab04e85a", "title": "Robust Multi-person Tracking for Real-Time Intelligent Video Surveillance", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a8d5/f1416760dbd8d2993358938f85c7ab04e85a.pdf"], "doi": []}, {"id": "42f643a184183d639e976daa756c277779c066f8", "title": "Convolutional Recurrent Predictor: Implicit Representation for Multi-target Filtering and Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00313.pdf"], "doi": []}, {"id": "5084ca7e4db3168e674414ae55cb6f4e682214e1", "title": "Detect-and-Track: Efficient Pose Estimation in Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578142"]}, {"id": "6eeb16c858a53d48b7d669d1feada739c80c8563", "title": "AFL Player Detection and Tracking", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371226", "http://doi.org/10.1109/DICTA.2015.7371226"]}, {"id": "76c327cce83905bda72944407fce7746ed0cb6fc", "title": "Dynamic task decomposition for decentralized object tracking in complex scenes", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.02.007"]}, {"id": "7766ab86a7bea8809129e4af769b4595578e63fc", "title": "Improvements to Tracking Pedestrians in Video Streams Using a Pre-trained Convolutional Neural Network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7766/ab86a7bea8809129e4af769b4595578e63fc.pdf"], "doi": []}, {"id": "8877c5afa16b025452e444e0798292fe7ee4dca6", "title": "Occlusion Robust Symbol Level Fusion for Multiple People Tracking", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8877/c5afa16b025452e444e0798292fe7ee4dca6.pdf"], "doi": []}, {"id": "afeac9270149b927b592e2299d11095fbdf8d308", "title": "Accurate 3D Multi-marker Tracking in X-ray Cardiac Sequences Using a Two-Stage Graph Modeling Approach", "year": "2013", "pdf": ["http://hera.inf-cv.uni-jena.de:6680/pdf/Jiang13:AMM.pdf", "http://herakles.inf-cv.uni-jena.de/biborb/bibs/cv/papers/Jiang13:AMM.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-40246-3_15"]}, {"id": "da628bf4add6e2a4631be1267033143e5f716ebe", "title": "The acquisition of coarse gaze estimates in visual surveillance", "year": "2011", "pdf": [], "doi": []}, {"id": "60fb007eef153fdf9c3d6620c419bef1c657c555", "title": "A soft-biometrics dataset for person tracking and re-identification", "year": "2014", "pdf": ["https://cvhci.anthropomatik.kit.edu/~aschuman/sobisdata/files/avss2014.pdf", "https://cvhci.anthropomatik.kit.edu/~aschuman/sobisdata/files/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918667", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918667", "http://doi.org/10.1109/AVSS.2014.6918667"]}, {"id": "24f367315bdb96ac001d568b8e2c0ff022845ca5", "title": "MAP-Based Online Data Association for Multiple People Tracking in Crowded Scenes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976928", "http://doi.org/10.1109/ICPR.2014.218"]}, {"id": "1a20c1d04b93d91cf2fd0b4e3c7bf1153a93942c", "title": "Re-identification for Improved People Tracking", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1a20/c1d04b93d91cf2fd0b4e3c7bf1153a93942c.pdf"], "doi": []}, {"id": "ad88fcfd12b62d607259db8d98e2a1a0a9642ca0", "title": "Real-time tracking-with-detection for coping with viewpoint change", "year": "2015", "pdf": ["http://www.eng.tau.ac.il/~oron/TWD/RT_TWD_MVAP_2015.pdf"], "doi": ["http://doi.org/10.1007/s00138-015-0676-z"]}, {"id": "4c39000bbd6761dd9e5609fe310af51facb835a9", "title": "Kinects and human kinetics : A new approach for studying pedestrian behavior", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c39/000bbd6761dd9e5609fe310af51facb835a9.pdf"], "doi": []}, {"id": "092a4a0f16287c26dcc833958b87b32346546c8b", "title": "Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed Traffic", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02364.pdf"], "doi": []}, {"id": "1f55079a33023518748d66869e7c539994c61c86", "title": "Object tracking techniques and performance measures \u2014 A conceptual survey", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8392127"]}, {"id": "344f647463ef160956143ebc8ce370cca144961a", "title": "Confidence-Aware Probability Hypothesis Density Filter for Visual Multi-Object Tracking", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/344f/647463ef160956143ebc8ce370cca144961a.pdf"], "doi": []}, {"id": "bd8ff0bf1c6ae27789cefebe2f55dac25ce6f1c8", "title": "Online multi-person tracking using Integral Channel Features", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738059", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738059", "http://doi.org/10.1109/AVSS.2016.7738059"]}, {"id": "9edd7c738171b0f36b65ae771711c38ed1dc38ad", "title": "Long-Term Multi-Cue Tracking of Hands in Vehicles", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Rangesh_T_ITS_2016.pdf", "http://cvrr.ucsd.edu/publications/2016/Rangesh_HandTrack.pdf", "https://eshed1.github.io/papers/Rangesh_T_ITS_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7416648", "http://doi.org/10.1109/TITS.2015.2508722"]}, {"id": "dcaceb925cc523b33c32f92255094f70150e92d3", "title": "Robust tracking of dynamic objects in LIDAR point clouds", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dcac/eb925cc523b33c32f92255094f70150e92d3.pdf"], "doi": []}, {"id": "eebe513912302604fe0601b7e4e85203f69f3b1c", "title": "Online multi-object tracking by detection based on generative appearance models", "year": "2016", "pdf": ["http://www.polymtl.ca/litiv/doc/RiahiCVIU2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.07.012"]}, {"id": "6d0767ce00979afc26940456994970bb488d4b46", "title": "Online pedestrian tracking with multi-stage re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078505", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078505", "http://doi.org/10.1109/AVSS.2017.8078505"]}, {"id": "8db43d306a70e23e2a0e6eb2fda60f14b73f65d0", "title": "Multi-Commodity Network Flow for Tracking Multiple People", "year": "2013", "pdf": ["https://infoscience.epfl.ch/record/181551/files/top_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636296", "https://www.ncbi.nlm.nih.gov/pubmed/24144976"]}, {"id": "0f29710e54f714eeea5233628afc68c680d881bb", "title": "Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning", "year": "2014", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/fiaschi_14_tracking.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Fiaschi_Tracking_Indistinguishable_Translucent_2014_CVPR_paper.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/219478572/fiaschi_14_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909746", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.356", "http://doi.org/10.1109/CVPR.2014.356"]}, {"id": "9b9f921646571ede31671ccfb6763d96c22642c2", "title": "A taxonomy of situated language in natural contexts", "year": "2011", "pdf": [], "doi": []}, {"id": "b183914d0b16647a41f0bfd4af64bf94a83a2b14", "title": "Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis", "year": "2014", "pdf": ["http://iwinlab.eng.usf.edu/papers/Extensible%20video%20surveillance%20software%20with%20simultaneous%20event%20detection%20for%20low%20and%20high%20density%20crowd%20analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069590"]}, {"id": "b3e6e4bed1b5f73aa114d19dcab214661a1d0cd6", "title": "Cooperative passers-by tracking with a mobile robot and external cameras", "year": "2013", "pdf": ["http://homepages.laas.fr/lerasle/pdf/cviu13.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.12.004"]}, {"id": "ad8e7c9bf20a0507acb90b17574da631b3d8b7cd", "title": "Temporal Dynamic Appearance Modeling for Online Multi-Person Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.02906.pdf"], "doi": []}, {"id": "3481a544e28cfc14108b0785eef7c12747e622ee", "title": "Online Multi-object Tracking via Structural Constraint Event Aggregation", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr16_mot.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201703210652/Online%20Multi-Object%20Tracking%20via%20Structural%20Constraint%20Event%20Aggregation.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yoon_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780524", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.155", "http://doi.org/10.1109/CVPR.2016.155"]}, {"id": "d04d53038d4267cf25badc5d6acccd2fc910a8a7", "title": "Online Multi-Object Tracking with Structural Invariance Constraint", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d04d/53038d4267cf25badc5d6acccd2fc910a8a7.pdf"], "doi": []}, {"id": "76056730a78d286d1d636f7d6239ec510a1a346f", "title": "Tracking via Blocking in Millimeter Wave Communication Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8422674", "http://doi.org/10.1109/ICC.2018.8422674"]}, {"id": "016860404c0926dda53b9bf4745f3eb9708fa1d2", "title": "Iterative hypothesis testing for multi-object tracking in presence of features with variable reliability", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.00313.pdf"], "doi": []}, {"id": "27b2f28fca10afaa046ae3821685d05a267287cf", "title": "Recurrent Metric Networks and Batch Multiple Hypothesis for Multi-Object Tracking", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8584998"]}, {"id": "0aaf9868487c1d2ca4c73aaa5f3530df6ee431d3", "title": "Tracking the 3D position and orientation of flying swarms with learned kinematic pattern using LSTM network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019406", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019406", "http://doi.org/10.1109/ICME.2017.8019406"]}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"], "doi": []}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "5d8ab5c473eb9e083ceb35ebeb00a062114ee6ac", "title": "A Reinforcement Learning Approach to Target Tracking in a Camera Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10336.pdf"], "doi": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "e278218ba1ff1b85d06680e99b08e817d0962dab", "title": "Tracking Persons-of-Interest via Unsupervised Representation Adaptation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02139.pdf"], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "36bccfb2ad847096bc76777e544f305813cd8f5b", "title": "WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1562-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Chavdarova_WILDTRACK_A_Multi-Camera_CVPR_2018_paper.pdf", "http://www.idiap.ch/~fleuret/papers/chavdarova-et-al-cvpr2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578626", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00528", "http://doi.org/10.1109/CVPR.2018.00528"]}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "e746447afc4898713a0bcf2bb560286eb4d20019", "title": "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02074.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "317f5a56519df95884cce81cfba180ee3adaf5a5", "title": "Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07295.pdf"], "doi": []}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "e42e7735f94a8f498ef0bf790ab43a668f904848", "title": "Low-Latency Detec on and Tracking of Aircra in Very High-Resolu on Video Feeds", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e42e/7735f94a8f498ef0bf790ab43a668f904848.pdf"], "doi": []}, {"id": "9812542cae5a470ea601e7c3a871331694105093", "title": "Person Re-identification by Deep Learning Attribute-Complementary Information", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014920", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.186", "http://doi.org/10.1109/CVPRW.2017.186"]}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"id": "b90b462619ba03fd3de0fd01b6c293185f4ba71d", "title": "Learning from Demonstration in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03516.pdf"], "doi": []}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "title": "Human tracking over camera networks: a review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/39df/6ca15f41e5a674ed8cd1654e699dbc8b8c11.pdf"], "doi": []}, {"id": "834ff8e06ed3f01c10958a276f1526fce7ffd387", "title": "Automatic Adaptation of Person Association for Multiview Tracking in Group Activities", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08717.pdf"], "doi": []}, {"id": "6cde93a5288e84671a7bee98cf6c94037f42da42", "title": "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578208"]}, {"id": "6438a73bade949bd2858ec0e25de52b59be1fdb9", "title": "Re-identification for Online Person Tracking by Modeling Space-Time Continuum", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w29/Narayan_Re-Identification_for_Online_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00193", "http://doi.org/10.1109/CVPRW.2018.00193"]}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "fde900199b2aa6d8a5364342885bdb2f5f7073c2", "title": "Deep Structured Prediction: A New Formulation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396970", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00014", "http://doi.org/10.1109/MIPR.2018.00014"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "96330777eb14dd6bc31d61b0d7f276083a04e34f", "title": "Real-time Implementation of YOLO+JPDA for Small Scale UAV Multiple Object Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8453398"]}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "5645f567d83bacf318c9b8c4adb5e508b713e466", "title": "Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": [], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "cb68c60ac046a0ec1c7f67487f14b999037313e1", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "4e12080616da4b540c8f79db2dd1b654cd8345ce", "title": "Pose-Driven Deep Models for Person Re-Identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "d2b86b6dc93631990e21a12278e77f002fb4b116", "title": "Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b8/6b6dc93631990e21a12278e77f002fb4b116.pdf"], "doi": []}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "title": "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11334.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "8abe89ab85250fd7a8117da32bc339a71c67dc21", "title": "Multi-camera Multi-Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07065.pdf"], "doi": []}, {"id": "d23d747e9936299b177b0358ff0502a884276aa2", "title": "Wide Area Tracking in Single and Multiple Views", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/4ceb/1a82fdf5739671c96be34458f51aad52ee17.pdf"], "doi": []}, {"id": "49b30c39730aeaff5904f89ab5a020086e990e2d", "title": "Multi-object detection and tracking by stereo vision", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Ling_Cai6/publication/223411112_Multi-object_detection_and_tracking_by_stereo_vision/links/54c4acef0cf219bbe4ef4054.pdf", "https://pdfs.semanticscholar.org/49b3/0c39730aeaff5904f89ab5a020086e990e2d.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2010.06.012"]}, {"id": "3c68834951564fdc2ace1dcd5bf7d1317a22a176", "title": "Multi-target tracking by on-line learned discriminative appearance models", "year": "2010", "pdf": ["http://iris.usc.edu/Outlines/papers/2010/kuo-huang-nevatia-cvpr10.pdf", "http://iris.usc.edu/people/chenghak/download/Kuo_Huang_Nevatia_CVPR2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540148", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2010.5540148", "http://doi.org/10.1109/CVPR.2010.5540148"]}, {"id": "a71a19903cd3e7c4c7bd9ad4e4586bf8ae9cbc4e", "title": "Distributed system for multiple camera tracking", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6012114", "http://doi.ieeecomputersociety.org/10.1109/ICME.2011.6012114", "http://doi.org/10.1109/ICME.2011.6012114"]}, {"id": "2c29b082d8e6b90be8cad73a7514ad6e2897923e", "title": "Robust multi-human tracking by detection update using reliable temporal information", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/47332/47332.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295108", "http://doi.org/10.5220/0004733203870396"]}, {"id": "80d9d4b5d7af67721212c0e9a89efb7f69671a5c", "title": "People detection and tracking using a network of low-cost depth cameras", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/80d9/d4b5d7af67721212c0e9a89efb7f69671a5c.pdf"], "doi": []}, {"id": "d83c5c0fa648de9ea0f8f6f92ce2096d5fa04808", "title": "Multi-appearance segmentation and extended 0-1 programming for dense small object tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.05116.pdf"], "doi": []}, {"id": "5a8a1c7bd50778bd7844704a6fe50d75186f1122", "title": "Efficient Training of Multiple Ant Tracking", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045877", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.23", "http://doi.org/10.1109/WACV.2015.23"]}, {"id": "4f2ffeb4bac11b7df692f08002f207993f479c51", "title": "Multiple Target Tracking by Learning-Based Hierarchical Association of Detection Responses", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6256670", "http://doi.org/10.1109/TPAMI.2012.159", "https://www.ncbi.nlm.nih.gov/pubmed/23428432", "https://www.wikidata.org/entity/Q48736153"]}, {"id": "b03343b99d15e752e7c46eef04308ba496555c89", "title": "Expert video-surveillance system for real-time detection of suspicious behaviors in shopping malls", "year": "2015", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/42602.pdf", "http://www.robesafe.com/personal/roberto.arroyo/docs/Arroyo15eswa.pdf", "https://www.researchgate.net/profile/Roberto_Arroyo2/publication/279057771_Expert_Video-Surveillance_System_for_Real-Time_Detection_of_Suspicious_Behaviors_in_Shopping_Malls/links/56e6aa0908ae98445c224cd3.pdf?origin=publication_list"], "doi": ["http://doi.org/10.1016/j.eswa.2015.06.016"]}, {"id": "1f614a97e16671c091b1bcd1a33e1280822b53db", "title": "Tracking People's Hands and Feet Using Mixed Network AND/OR Search", "year": "2013", "pdf": ["http://www.umiacs.umd.edu/~morariu/publications/MorariuHandfootPAMI12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6291723", "http://doi.org/10.1109/TPAMI.2012.187", "https://www.ncbi.nlm.nih.gov/pubmed/23520262", "https://www.wikidata.org/entity/Q43446401"]}, {"id": "21f59ece2dfe0181a3c4763318fcae254e80b7db", "title": "Human Object Tracking in Video Sequences", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/21f5/9ece2dfe0181a3c4763318fcae254e80b7db.pdf"], "doi": []}, {"id": "0bbd0060e79c5370c6d07bef7b5830e8732e7c1b", "title": "Automatic tracker selection w.r.t object detection performance", "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.2005.pdf"], "doi": []}, {"id": "066000d44d6691d27202896691f08b27117918b9", "title": "Vision-Based Analysis of Small Groups in Pedestrian Crowds", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989835"]}, {"id": "8b4b0734555e446888f05c25ea330c6c53ddf307", "title": "An Online LC-KSVD Based Dictionary Learning for Multi-target Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7816792"]}, {"id": "c4530262874ee564932ddadf9e5208e66b6efa29", "title": "Tracking undulatory body motion of multiple fish based on midline dynamics modeling", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7553004", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7553004", "http://doi.org/10.1109/ICME.2016.7553004"]}, {"id": "133900a0e7450979c9491951a5f1c2a403a180f0", "title": "Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video", "year": "2016", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/socgroup.pdf", "https://cloudfront.escholarship.org/dist/prd/content/qt7wb390mc/qt7wb390mc.pdf?t=p7p846"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346504", "http://doi.org/10.1109/TPAMI.2015.2505292", "https://www.ncbi.nlm.nih.gov/pubmed/26660698", "https://www.wikidata.org/entity/Q48638370"]}, {"id": "2390f14bf3b52418953ac0d334047e92b5157c1d", "title": "Data association based ant tracking with interactive error correction", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836003", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836003", "http://doi.org/10.1109/WACV.2014.6836003"]}, {"id": "dc94db59fddedb3fc6ae5317ad719808bb5482f2", "title": "Humanitarian Logistics and Cultural Diversity within Crowd Simulation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dc94/db59fddedb3fc6ae5317ad719808bb5482f2.pdf"], "doi": []}, {"id": "23a6b0edc8e6ad88a3d68419880665c193893e3c", "title": "Computer Vision in Sports", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-09396-3"]}, {"id": "1927d86d26a1afdd4bb988b26ba89a8589675473", "title": "Traffic analysis using discrete wavelet transform and Bayesian regression", "year": "2013", "pdf": ["http://iosrjournals.org/iosr-jece/papers/wicomet-volume1/G.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6726633"]}, {"id": "760acfa418e26c5fc03471899040404773e38799", "title": "Multi-person tracking-by-detection with local particle filtering and global occlusion handling", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890149", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890149", "http://doi.org/10.1109/ICME.2014.6890149"]}, {"id": "00c86c21c2a842233b381d141cdaff12ef3590fd", "title": "Content-Based Retrieval of Functional Objects in Video Using Scene Context", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/ea9a/d5d028873533d3cfb7fa9e40a6e39e0fa803.pdf"], "doi": []}, {"id": "8e64f7f38db57ddc197cc7a9c51b914920ee99cc", "title": "AN OPTIMIZED FRAMEWORK FOR DETECTION AND TRACKING", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e64/f7f38db57ddc197cc7a9c51b914920ee99cc.pdf"], "doi": []}, {"id": "7d8b467a524bfd4d65d6e9481dd56a1fb381723a", "title": "Research on Robust Local Feature Extraction Method for Human Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/7d8b/467a524bfd4d65d6e9481dd56a1fb381723a.pdf"], "doi": []}, {"id": "d008e8662b7e482b88e6dee7c50bd939d28e7628", "title": "People detection, tracking and re-identification through a video camera network. (D\u00e9tection, suivi et r\u00e9-identification de personnes \u00e0 travers un r\u00e9seau de cam\u00e9ra vid\u00e9o)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d008/e8662b7e482b88e6dee7c50bd939d28e7628.pdf"], "doi": []}, {"id": "0bd7a9de611ff444be27a3a174364a5146161af0", "title": "Individual 3d face modeling and recognition in a video network", "year": "2012", "pdf": [], "doi": []}, {"id": "64c78c8bf779a27e819fd9d5dba91247ab5a902b", "title": "Tracking with multi-level features.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07304.pdf"], "doi": []}, {"id": "95704293fcaa01473e5c0b389d8afdcc0178d8c7", "title": "Accurate Human Detection by Appearance and Motion", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/cb19/8e43fdaaf1df73a6af120f246f746019967a.pdf"], "doi": []}, {"id": "86e040f940f4b6399aaf41eb3f86b3cb948ee7dc", "title": "Tracklet association based multi-target tracking", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3238-5"]}, {"id": "4fe32724ef0dc683078099199fb7c2bbf1a24b38", "title": "Video Monitoring System: Counting People by Tracking", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6169871", "http://doi.org/10.1109/rivf.2012.6169871"]}, {"id": "18e7d5fe57fd0f660abad7c68bf6b366a975652a", "title": "Multiple Insect Tracking with Occlusion Sub-tunnels", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045944", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.90", "http://doi.org/10.1109/WACV.2015.90"]}, {"id": "16fdc3829dc8322a26eac46e93703000005f3d6d", "title": "An occlusion reasoning scheme for monocular pedestrian tracking in dynamic scenes", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.06129.pdf"], "doi": []}, {"id": "3fd5a28ea052ad176f32464e594f49c6a387e984", "title": "Counting Vehicles in Highway Surveillance Videos", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597904", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.886", "http://doi.org/10.1109/ICPR.2010.886"]}, {"id": "6506e45c15cf24d9cbf3d694994195ef56063a80", "title": "Dynamic and Robust Object Tracking for Activity Recognition. (Suivi dynamique et robuste d'objets pour la reconnaissance d'activit\u00e9s)", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/6506/e45c15cf24d9cbf3d694994195ef56063a80.pdf"], "doi": []}, {"id": "5fea385735997c7e826c7a389084cdba5d6e0928", "title": "An online learned CRF model for multi-target tracking", "year": "2012", "pdf": ["http://home.iitk.ac.in/~rishabh/cs676/pres1.pdf", "http://iris.usc.edu/Outlines/papers/2012/yang-nevatia-cvpr-2-2012.pdf", "http://iris.usc.edu/people/yangbo/papers/CVPR12_2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247907", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247907", "http://doi.org/10.1109/CVPR.2012.6247907"]}, {"id": "d0369a51eaae3723cfe290fd666f2d6be97fd7c7", "title": "Action recognition via bio-inspired features: The richness of center-surround interaction", "year": "2012", "pdf": ["http://www-sop.inria.fr/members/Pierre.Kornprobst/journal/2012-escobar-cviu.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.01.002"]}, {"id": "c32f798663bd00268e3ceb8a855222dae877a58a", "title": "Anomaly detection from videos under sparse data and partial observations \u2217", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c32f/798663bd00268e3ceb8a855222dae877a58a.pdf"], "doi": []}, {"id": "7fb143927b616726f065a55b4455b822b4cc8d86", "title": "Structured Learning for Cell Tracking", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9423/feb0375f9ae19f8796718ec117e9b4afaf1a.pdf"], "doi": []}, {"id": "65a641203ebbed46a3db1993bd360713c51d9156", "title": "Semisupervised Pedestrian Counting With Temporal and Spatial Consistencies", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7000571", "http://doi.org/10.1109/TITS.2014.2371333"]}, {"id": "09cf3d036f84b6b3ac5244a2ecf8ac74f69de5d3", "title": "Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance", "year": "2012", "pdf": ["https://arxiv.org/pdf/1502.00377.pdf"], "doi": []}, {"id": "3db123d094c7ba33bbd3c4ccbea77e2093ad6174", "title": "Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06011.pdf"], "doi": []}, {"id": "b4ee2a6b5fdf66f57e94a998cff2acef4af7d256", "title": "Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes", "year": "2013", "pdf": ["https://www.d2.mpi-inf.mpg.de/sites/default/files/wojek2013pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6265058", "http://doi.org/10.1109/TPAMI.2012.174", "https://www.ncbi.nlm.nih.gov/pubmed/22889818", "https://www.wikidata.org/entity/Q45823527"]}, {"id": "2dc8364433bde6041f38792cd01a6e80a55b1471", "title": "Multi-target tracking by discriminative analysis on Riemannian manifold", "year": "2012", "pdf": ["http://www-sop.inria.fr/members/Duc-Phu.Chau/data_tmp/paperICIP2012.pdf", "http://www-sop.inria.fr/members/Francois.Bremond/Postscript/ICIP12-Slawek.pdf", "http://www.demcare.eu/downloads/Multi_target_tracking_by_discriminative_analysis_on_Riemannian_manifold.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6467182", "http://doi.org/10.1109/ICIP.2012.6467182"]}, {"id": "29ade322a7d4a88da0b451d8ff814193991fb4fc", "title": "Real-time reliability measure-driven multi-hypothesis tracking using 2D and 3D features", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/29ad/e322a7d4a88da0b451d8ff814193991fb4fc.pdf"], "doi": []}, {"id": "44e3d382ce8d765f705706d40716cb81575281e8", "title": "Automatic Parameter Adaptation for Multi-object Tracking", "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2687.pdf"], "doi": []}, {"id": "f75e27051d83775f51565b9f700eb03bc1960d42", "title": "Hierarchical framework for robust and fast multiple-target tracking in surveillance scenarios", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2012.08.025"]}, {"id": "0a5c6b73ff2a27ec7c3bddca757643fa11f035ee", "title": "Learning affinities and dependencies for multi-target tracking using a CRF model", "year": "2011", "pdf": ["http://iris.usc.edu/Outlines/papers/2011/yang-huang-nevatia-cvpr11.pdf", "http://iris.usc.edu/people/yangbo/papers/CVPR11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995587", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995587", "http://doi.org/10.1109/CVPR.2011.5995587"]}, {"id": "af6a160f6e2568cb7dc9c72c1b4af1e5656bf557", "title": "A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14363/1/Wu17.pdf", "https://repository.kaust.edu.sa/bitstream/handle/10754/621254/10.1016-j.patcog.2016.10.022.pdf?isAllowed=y&sequence=1", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2016b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.022"]}, {"id": "3099615de73bb1d6442ce29dc9959ddb91cfc282", "title": "Detecting and Tracking Sports Players with Random Forests and Context-Conditioned Motion Models", "year": "2014", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150330043529/Detecting-and-Tracking-Sports-Players-with-Random-Forests-and-Context-Conditioned-Motion-Models-Paper.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-09396-3_6"]}, {"id": "88b57bdbab36d4912212a9b93299427defda8400", "title": "Optimal feature points for tracking multiple moving objects in active camera model", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2823-y"]}, {"id": "a1edc13e5c2517b57d432f4a6c6b693152e8c4bb", "title": "Context tracker: Exploring supporters and distracters in unconstrained environments", "year": "2011", "pdf": ["http://iris.usc.edu/Outlines/papers/2011/dinh-vo-medioni-cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995733", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995733", "http://doi.org/10.1109/CVPR.2011.5995733"]}, {"id": "c31f7fa9d050c8a7181fc3407313f1fddd06de8c", "title": "Multiple-Human Tracking by Iterative Data Association and Detection Update", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6750747", "http://doi.org/10.1109/TITS.2014.2303196"]}, {"id": "d9433ba8bc58a94dffbfebe85e1aca1b6229d6c4", "title": "Audio\u2010Visual Speaker Tracking", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d943/3ba8bc58a94dffbfebe85e1aca1b6229d6c4.pdf"], "doi": []}, {"id": "e8d000296ef76d8477b3f2c9a61d08aab6247487", "title": "Learning to Track Multi-target Online by Boosting and Scene Layout", "year": "2013", "pdf": ["http://www6.in.tum.de/Main/Publications/guangICMLA2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6784611", "http://doi.org/10.1109/ICMLA.2013.41"]}, {"id": "e53d4731b7c55dac6d70df4e068b79216bf1614d", "title": "Ant tracking with occlusion tunnels", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836002", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836002", "http://doi.org/10.1109/WACV.2014.6836002"]}, {"id": "15686988df40f5ec8475471ca14a6406aec4c85b", "title": "High-order framewise smoothness-constrained globally-optimal tracking", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2016.05.012"]}, {"id": "66f533bc88329decafc5ff171db0db2beca3446e", "title": "Tracklet association for object tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7530963"]}, {"id": "0cca85ee872ae6f6a4d305880b4461f152b1d808", "title": "Automatic framework for tracking honeybee's antennae and mouthparts from low framerate video", "year": "2013", "pdf": ["http://kops.uni-konstanz.de/bitstream/handle/123456789/26119/Shen_261195.pdf?isAllowed=y&sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738847", "http://doi.org/10.1109/ICIP.2013.6738847"]}, {"id": "066454772e51df9142e99bfed1d83eae1c755ed1", "title": "Multi-Target Tracking by Online Learning a CRF Model of Appearance and Motion Patterns", "year": "2013", "pdf": ["http://iris.usc.edu/people/yangbo/papers/IJCV14.pdf", "http://www.tpbin.com/Uploads/Subjects/eb7f030c-5f7c-48f4-8a32-70ed9951bfe3.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0666-4"]}, {"id": "2049ca79ce94ddfe0cc3d39bf770f580a740f3ac", "title": "Activity analysis : finding explanations for sets of events", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/2049/ca79ce94ddfe0cc3d39bf770f580a740f3ac.pdf"], "doi": []}, {"id": "4ebe60a33905a1e8c3e8b961ecbf2a5ddac0bc18", "title": "Learning Discriminative Appearance Models for Online Multi-Object Tracking With Appearance Discriminability Measures", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8528315", "http://doi.org/10.1109/ACCESS.2018.2879535"]}, {"id": "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "title": "Transductive People Tracking in Unconstrained Surveillance", "year": "2016", "pdf": ["http://imagelab.ing.unimore.it/Pubblicazioni/pubblicazioni/2015TCSVT.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7067436", "http://doi.org/10.1109/TCSVT.2015.2416555"]}, {"id": "3d3fb9e6e591a39a74665ae6e4d5ed842596d3f2", "title": "Detection Based Low Frame Rate Human Tracking", "year": "2010", "pdf": ["http://hub.hku.hk/bitstream/10722/137721/1/Content.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597432", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.861", "http://doi.org/10.1109/ICPR.2010.861"]}, {"id": "bf9f26780d7207c8845d7787b6003a8df161afb8", "title": "Counting People With Low-Level Features and Bayesian Regression", "year": "2012", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/journal/tip12-pedcount.pdf", "http://www.cse.psu.edu/~rtc12/CSE586/papers/regr_ChanTIPjournal.pdf", "http://www.svcl.ucsd.edu/publications/journal/2011/peoplecount/tip_achan.pdf", "http://www.svcl.ucsd.edu/publications/journal/2012/peoplecount/TIP-2012.pdf", "http://www.svcl.ucsd.edu/publications/journal/2012/peoplecount/tip_achan.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6054049", "http://doi.org/10.1109/TIP.2011.2172800", "https://www.ncbi.nlm.nih.gov/pubmed/22020684", "https://www.wikidata.org/entity/Q50670897"]}, {"id": "46888c67aa5351730ce5022cc800239f6557f254", "title": "Online Multi-target Visual Tracking using a HISP Filter", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4688/8c67aa5351730ce5022cc800239f6557f254.pdf"], "doi": []}, {"id": "5e91464e4d9f61c0c6038447d76e14eed6758a6e", "title": "Thermal Sensor-Based Multiple Object Tracking for Intelligent Livestock Breeding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8114167", "http://doi.org/10.1109/ACCESS.2017.2775040"]}, {"id": "fa43899928dc3ea398fb8542917c04abc5158724", "title": "Detection and Association Based Multi-target Tracking in Surveillance Video", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153918", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2015.19", "http://doi.org/10.1109/BigMM.2015.19"]}, {"id": "0a20e2fbe52efdb794b7566ce5233c41f4c5efc9", "title": "Monocular Visual Scene Understanding from Mobile Platforms", "year": "2010", "pdf": ["http://tuprints.ulb.tu-darmstadt.de/2237/1/Christian_Wojek_PhD_Thesis.pdf"], "doi": ["http://d-nb.info/1006538224"]}, {"id": "7b607888d3a9952e0553874ea77fa1ad4f6ba2ad", "title": "Online multiple object tracking by hierarchical association of detection responses", "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2095729"]}, {"id": "7e53ab07d0ce28484830329036a1fc018b9644dd", "title": "Online multiple people tracking-by-detection in crowded scenes", "year": "2014", "pdf": ["http://jacet.srbiau.ac.ir/pdf_6708_d824303654a6fd0f7d67304a2e93c7b3.html"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7000725", "http://doi.org/10.1109/ISTEL.2014.7000725"]}, {"id": "434627a03d4433b0df03058724524c3ac1c07478", "title": "Online Multi-Target Tracking With Unified Handling of Complex Scenarios", "year": "2015", "pdf": ["http://jianghz.com/pubs/mtt_tip_final.pdf", "http://people.cs.umass.edu/~hzjiang/pubs/mtt_tip_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7124485", "http://doi.org/10.1109/TIP.2015.2446331", "https://www.ncbi.nlm.nih.gov/pubmed/26087489", "https://www.wikidata.org/entity/Q40823197"]}, {"id": "98220d35ae6a3ba745f7dea1434f000ca60c62c0", "title": "Multi-object Tracking using Particle Swarm Optimization on Target Interactions", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9822/0d35ae6a3ba745f7dea1434f000ca60c62c0.pdf"], "doi": []}, {"id": "1a2b5b52e4b378a4b8b6f5adfc4a8d5d161ab012", "title": "A Prior-Less Method for Multi-face Tracking in Unconstrained Videos", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/3502-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_A_Prior-Less_Method_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578161", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00063", "http://doi.org/10.1109/CVPR.2018.00063"]}, {"id": "7c65bbde13b4dfb8381ff72f7734c9196ba5d721", "title": "A blob representation for tracking robust to merging and fragmentation", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6163020", "http://doi.ieeecomputersociety.org/10.1109/WACV.2012.6163020", "http://doi.org/10.1109/WACV.2012.6163020"]}, {"id": "537639f670c675d625783ca08fe997449cbb4f9c", "title": "Multi-target tracking using long-term stochastic associations", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/a18d/bc1b840cea869e9570bc7c16e8ac10897e24.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5651303", "http://doi.org/10.1109/ICIP.2010.5651303"]}, {"id": "f0cc615b14c97482faa9c47eb855303c71ff03a7", "title": "Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0cc/615b14c97482faa9c47eb855303c71ff03a7.pdf"], "doi": []}, {"id": "e2efecac66fec3890b7ffeaa54ee1c6400f9029e", "title": "Pattern Recognition", "year": "2014", "pdf": ["http://www.fil.ion.ucl.ac.uk/~john/misc/ISBI2015/ISBI_I.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-11752-2"]}, {"id": "05d5fa704527ee6f0a9eef2b9a03276b83378ca7", "title": "Pairwise Threshold for Gaussian Mixture Classification and Its Application on Human Tracking Enhancement", "year": "2012", "pdf": ["http://iris.usc.edu/Outlines/papers/2012/kim_lee_avss12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328043", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.53", "http://doi.org/10.1109/AVSS.2012.53"]}, {"id": "b58e71a3336193bed5785b2818a4fec85dd5f5ff", "title": "Object Detection and Tracking for Autonomous Navigation in Dynamic Environments", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/b58e/71a3336193bed5785b2818a4fec85dd5f5ff.pdf"], "doi": []}, {"id": "407e4b401395682b15c431347ec9b0f88ceec04b", "title": "Multi-target tracking by learning local-to-global trajectory models", "year": "2015", "pdf": ["http://www.researchgate.net/profile/Shun_Zhang5/publication/265295656_Multi-Target_Tracking_by_Learning_Local-to-Global_Trajectory_Models/links/5434b49d0cf294006f736811.pdf", "https://pdfs.semanticscholar.org/407e/4b401395682b15c431347ec9b0f88ceec04b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.08.013"]}, {"id": "ac611487ad19e0ff182890ed567c449bfaabd0f4", "title": "Beyond Pedestrians: A Hybrid Approach of Tracking Multiple Articulating Humans", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045879", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.25", "http://doi.org/10.1109/WACV.2015.25"]}, {"id": "457d3ca924afc21719d19175caf285aa575d1c90", "title": "Analyzing Structured Scenarios by Tracking People and Their Limbs", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/457d/3ca924afc21719d19175caf285aa575d1c90.pdf"], "doi": []}, {"id": "152bac3db84632dcf3d8d9d49fb11d7df9f040bf", "title": "Tracking by Planning", "year": "2011", "pdf": [], "doi": []}, {"id": "241709c37d2a91b79352f1e77f0881f5de709795", "title": "Multi-gait identification based on multilinear analysis and multi-target tracking", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2585-6"]}, {"id": "a921dbe7659e4a75c1ac53f5bdc1fcdc6caa5933", "title": "Title Detection based low frame rate human tracking", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/a921/dbe7659e4a75c1ac53f5bdc1fcdc6caa5933.pdf"], "doi": []}, {"id": "6581c5b17db7006f4cc3575d04bfc6546854a785", "title": "Contextual Person Identification in Multimedia Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6581/c5b17db7006f4cc3575d04bfc6546854a785.pdf"], "doi": []}, {"id": "69c5fbc040f3ad70f396ec468bf1d725bb13531d", "title": "Online parameter tuning for object tracking algorithms", "year": "2014", "pdf": ["http://www-sop.inria.fr/members/Duc-Phu.Chau/data_tmp/phu_imavis12.pdf", "http://www-sop.inria.fr/members/Francois.Bremond/Postscript/phu_imavis12.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.003"]}, {"id": "47119c99f5aa1e47bbeb86de0f955e7c500e6a93", "title": "On pairwise costs for network flow multi-object tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1408.3304.pdf"], "doi": []}, {"id": "05a76887cc3f3dfad7f391bfeecc613d6c611b17", "title": "Robust Human Tracking to Occlusion in Crowded Scenes", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371302", "http://doi.org/10.1109/DICTA.2015.7371302"]}]}
\ No newline at end of file +{"id": "2258e01865367018ed6f4262c880df85b94959f8", "citations": [{"id": "22909dd19a0ec3b6065334cb5be5392cb24d839d", "title": "PETS 2017: Dataset and Challenge", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014998"]}, {"id": "147307c7e67e1c3e5ceca68644f365d6f44472fb", "title": "Detecting and Tracking Moving Objects from a Small Unmanned Air Vehicle", "year": "2015", "pdf": [], "doi": []}, {"id": "940002939d519227427619ec437e04676235d558", "title": "Backtracking: Retrospective multi-target tracking", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2012.04.004"]}, {"id": "1bb73d8f1224a846473d0a2ddc4289ae3e21b61c", "title": "A joint particle filter to track the position and head orientation of people using audio visual cues", "year": "2010", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2010/Contents/papers/1569296251.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7096747", "http://ieeexplore.ieee.org/document/7096747/"]}, {"id": "bf4e6ec60e5603324f6a40d2a060420322dbdd62", "title": "Kinects and Human Kinetics: A New Approach for Studying Crowd Behavior", "year": "2012", "pdf": ["https://arxiv.org/pdf/1210.2838.pdf"], "doi": []}, {"id": "37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e", "title": "Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach", "year": "2015", "pdf": ["http://www.cse.iitm.ac.in/~amittal/wacv2015_review.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045875", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.21", "http://doi.org/10.1109/WACV.2015.21"]}, {"id": "517cc1084952133b6d2ecd0a535cdc3ddf8955d7", "title": "A Graphical Social Topology Model for Multi-Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04040.pdf"], "doi": []}, {"id": "664ccdcc614a8ecfbfedadc7b42b9537fe43d3f1", "title": "Probabilistic integration of sparse audio-visual cues for identity tracking", "year": "2008", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1459380"]}, {"id": "8dc2b137b2a1a3713f6ce5e78f621a9f0f036bf8", "title": "Non-myopic information theoretic sensor management of a single pan-tilt-zoom camera for multiple object detection and tracking", "year": "2015", "pdf": ["http://www.micc.unifi.it/wp-content/uploads/2015/12/2015_non_myopic_sensor.pdf", "https://iris.univr.it/retrieve/handle/11562/932909/26906/manuscriptAccepted.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.12.001"]}, {"id": "5fb635801e65a12b5c52085da78152d2df6c2ff2", "title": "ICDAR2017 Robust Reading Challenge on Omnidirectional Video", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270167", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.236", "http://doi.org/10.1109/ICDAR.2017.236"]}, {"id": "53079196041fedeb5f1e236b1c76c7108fd8346e", "title": "Multiple Object Detection, Tracking and Long-Term Dynamics Learning in Large 3D Maps", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09292.pdf"], "doi": []}, {"id": "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "title": "Features for Multi-target Multi-camera Tracking and Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578730"]}, {"id": "aab5d43cbd215099cb7a947665072f8d6d5fe2c2", "title": "Motion Vector Based Data Association for On-Line Multi-object Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575812", "http://doi.org/10.1109/ACPR.2017.54"]}, {"id": "1183ef7de3083c57ca9152aabd905814bb486a08", "title": "A GAUSSIAN PROCESS BASED MULTI-PERSON INTERACTION MODEL", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1183/ef7de3083c57ca9152aabd905814bb486a08.pdf"], "doi": []}, {"id": "e3255ab54d4ae6cfbdb7bf103108663bf4c6e0fc", "title": "Dynamic Task Decomposition for Probabilistic Tracking in Complex Scenes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977421", "http://doi.org/10.1109/ICPR.2014.708"]}, {"id": "18ab703c9959fbea7ad253a4062eb705b245552c", "title": "Efficient trajectory extraction and parameter learning for data-driven crowd simulation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/92cd/9f7d580c9c10695f05d3c1fe6625c550293f.pdf"], "doi": []}, {"id": "54f0fa07dee7bd270d3bd8da9011ca90df78af59", "title": "Comparison of Laser-Based Person Tracking at Feet and Upper-Body Height", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/54f0/fa07dee7bd270d3bd8da9011ca90df78af59.pdf"], "doi": []}, {"id": "efe208a03e2f75ddcebf8bb0f10b1c0bea4824be", "title": "A data set for evaluating the performance of multi-class multi-object video tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06378.pdf"], "doi": []}, {"id": "f627f2ed56f42dbc3ba127f2a820630dd0e03c52", "title": "Automated traffic monitoring for complex road conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f627/f2ed56f42dbc3ba127f2a820630dd0e03c52.pdf"], "doi": []}, {"id": "8e0b92b7ccf6a2d110011b79637d257805d8c96e", "title": "Visual Tracking: An Experimental Survey", "year": "2013", "pdf": ["http://crcv.ucf.edu/papers/Tracking_Survey.pdf", "http://crcv.ucf.edu/papers/trackerSurvey.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2014/SmeuldersTPAMI2014/SmeuldersTPAMI2014.pdf", "https://pure.uva.nl/ws/files/2110600/156976_SmeuldersTPAMI2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6671560", "http://doi.org/10.1109/TPAMI.2013.230", "https://www.ncbi.nlm.nih.gov/pubmed/24277945", "https://www.ncbi.nlm.nih.gov/pubmed/26353314", "https://www.wikidata.org/entity/Q40558209"]}, {"id": "1120e88663a38ed05120af378f57ecf557660160", "title": "Generic Object Crowd Tracking by Multi-Task Learning", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/722e/ae6cdf3ec2a55f06ea0f8c0aa4d7d57dc6a0.pdf"], "doi": []}, {"id": "8e0cc47c194ef7daf15aaef14d61e493879ae137", "title": "Deep Network Flow for Multi-object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08482.pdf"], "doi": []}, {"id": "b674bacb45c1c96e9c93792019478a7760fbe7a6", "title": "Tracking multiple pedestrians through detection failures in videos", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7338705", "http://doi.org/10.1109/ICCAIS.2015.7338705"]}, {"id": "ba1cf2d0493f25da61bd816f92712291999c0ef6", "title": "Simple online and realtime tracking with a deep association metric", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07402.pdf"], "doi": []}, {"id": "f3b56b873c48929361c1cada7b18177e3f4d2727", "title": "Development of a N-type GM-PHD Filter for Multiple Target, Multiple Type Visual Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00672.pdf"], "doi": []}, {"id": "507bc8ab4a598fb2f4108713e8c1e55c180c007e", "title": "Multiple Objects Tracking With Improved Sparse Representation and Rank Based Dynamic Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411122", "http://doi.org/10.1109/ACCESS.2018.2855703"]}, {"id": "c0d21722d83c126af4175add38ffc893a33ee01e", "title": "Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.02340.pdf"], "doi": []}, {"id": "9dc263210770e7e836040c8e9d0edff40814254b", "title": "A track before detect approach for sequential Bayesian tracking of multiple speech sources", "year": "2010", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202010/pdfs/0004974.pdf", "http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202010/pdfs/0004974.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5495092", "http://doi.org/10.1109/ICASSP.2010.5495092"]}, {"id": "5f0e9cc18374a670dfea4698424c9d48494f3093", "title": "Online Domain Adaptation for Multi-Object Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.00776.pdf"], "doi": []}, {"id": "b6fd381fa41a2d03e170ca686f191ab1e4b69615", "title": "Continuous, Full-scope, Spatio-temporal Tracking Metric based on KL-divergence", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638328"]}, {"id": "53f981cb6f1cf19b08255c571d62cc1073fd792b", "title": "Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios", "year": "2017", "pdf": ["https://arxiv.org/pdf/1808.07935.pdf"], "doi": []}, {"id": "d01e65591745fc46a3f69a6c9387be17caf55c16", "title": "State-Driven Particle Filter for Multi-person Tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d01e/65591745fc46a3f69a6c9387be17caf55c16.pdf"], "doi": []}, {"id": "4469ff0b698d4752504b4b900b0cbef38ded59e4", "title": "Data association for multi-object Tracking-by-Detection in multi-camera networks", "year": "2012", "pdf": ["http://herakles.inf-cv.uni-jena.de/biborb/bibs/cv/papers/Bredereck12:DAM.pdf", "https://pdfs.semanticscholar.org/4469/ff0b698d4752504b4b900b0cbef38ded59e4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6470139", "http://ieeexplore.ieee.org/document/6470139/"]}, {"id": "a8420e7fa53b81b8069ced8d9c743c141e2fc432", "title": "Real-Time Multiple Object Tracking - A Study on the Importance of Speed", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03572.pdf"], "doi": []}, {"id": "01d785bb989850019001a418a16202fd7502ac14", "title": "Hierarchical object detection and tracking with an Implicit Shape Model", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/01d7/85bb989850019001a418a16202fd7502ac14.pdf"], "doi": []}, {"id": "6f79c4b82f9ccdee918659a8f7091b8ab99fe889", "title": "Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09975.pdf"], "doi": []}, {"id": "ceb9a051f1273c7159aca80891f21ca3357b68ab", "title": "DIET: Dynamic Integration of Extended Tracklets for Tracking Multiple Persons", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976927", "http://doi.org/10.1109/ICPR.2014.217"]}, {"id": "a744c82e10ccd67e4e6ba73ff4411bd45d95d533", "title": "Maritime Vessels Real-time Tracking-by-detection in UAV Videos", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a744/c82e10ccd67e4e6ba73ff4411bd45d95d533.pdf"], "doi": []}, {"id": "4e3625382a60672c09c6614214f2b3c1de61898e", "title": "Hierarchical Task Network planning with common-sense reasoning for multiple-people behaviour analysis", "year": "2017", "pdf": ["https://lra.le.ac.uk/bitstream/2381/41197/2/ESWA-2016.pdf", "https://pure.qub.ac.uk/portal/files/101605639/main.pdf"], "doi": ["https://doi.org/10.1016/j.eswa.2016.09.038"]}, {"id": "b8a4e7c21c3163b7595dac0cb00cf518e2dd82b5", "title": "Coupling Fall Detection and Tracking in Omnidirectional Cameras", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b8a4/e7c21c3163b7595dac0cb00cf518e2dd82b5.pdf"], "doi": []}, {"id": "79e39f3d0577b9c5a47b93eb6d75bec04d14c07a", "title": "Person tracking and following with 2D laser scanners", "year": "2015", "pdf": ["http://cs.mcgill.ca/~jpineau/files/leigh-icra15.pdf", "http://www.cs.mcgill.ca/~aleigh1/ICRA_2015.pdf", "http://www.cs.mcgill.ca/~jpineau/files/leigh-icra15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139259", "http://doi.org/10.1109/ICRA.2015.7139259"]}, {"id": "9cabbb686883635d8755706ee4f1349d812d7ccb", "title": "Detection and Tracking of General Movable Objects in Large 3D Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08409.pdf"], "doi": []}, {"id": "8ec3325c12340d1b8b746b7e9b40616ace1f4d0b", "title": "InLiDa: A 3D Lidar Dataset for People Detection and Tracking in Indoor Environments", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8ec3/325c12340d1b8b746b7e9b40616ace1f4d0b.pdf"], "doi": []}, {"id": "c2d35b387518496d8100f70e82597b002eba600e", "title": "Online Multi-player Tracking in Monocular Soccer Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c2d3/5b387518496d8100f70e82597b002eba600e.pdf"], "doi": []}, {"id": "e27301701e4d2d7da4171e6c560c4fb3f974bf2d", "title": "Comparative Evaluations of Selected Tracking-by-Detection Approaches", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96a6/087fd0c96342fae897e1e8e822906bf73819.pdf"], "doi": []}, {"id": "ac0d88ca5f75a4a80da90365c28fa26f1a26d4c4", "title": "MOT16: A Benchmark for Multi-Object Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00831.pdf"], "doi": []}, {"id": "fc5561d95b63f05a2f88e66291dbd269e4141a00", "title": "A Pedestrian Multiple Hypothesis Tracker Fusing Head and Body Detections", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6691474", "http://doi.org/10.1109/DICTA.2013.6691474"]}, {"id": "b13254c2c9ca90f57e385d34abc7fe78d74e5222", "title": "Real-Time Multi-object Tracking with Occlusion and Stationary Objects Handling for Conveying Systems", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4f5e/47562c40e1caed7f10095b6959afc7e1bd89.pdf"], "doi": []}, {"id": "343192938edf3e650169f1650349206f2b02e00c", "title": "A Lightweight Online Multiple Object Vehicle Tracking Method", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500386", "http://doi.org/10.1109/IVS.2018.8500386"]}, {"id": "2b9659169951d968e437345df0d4d784f6843734", "title": "Classification Assisted Tracking for Autonomous Driving Domain", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547138"]}, {"id": "2c5bfdf6b4f9c06a42280e99d101e628a1dc597f", "title": "Multiple Target, Multiple Type Visual Tracking using a Tri-GM-PHD Filter", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2c5b/fdf6b4f9c06a42280e99d101e628a1dc597f.pdf"], "doi": []}, {"id": "f6d35f4884d0834f2a2b29fd6341f3b4afefb119", "title": "Collaborative Detector Fusion of Data-Driven PHD Filter for Online Multiple Human Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455432", "http://doi.org/10.23919/ICIF.2018.8455432"]}, {"id": "b7b5fd3e2cfc39967e389b974c1cb418b2bf1b8f", "title": "Heuristic Search for Structural Constraints in Data Association", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.02823.pdf"], "doi": []}, {"id": "2b8c1daa238f042612260f0c3f8ff36e27c434db", "title": "Online Tracker Optimization for Multi-Pedestrian Tracking Using a Moving Vehicle Camera", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8449934", "http://doi.org/10.1109/ACCESS.2018.2867621"]}, {"id": "22d5719a95be420e0d1817799498e987eaf6676b", "title": "Novelty detection in human tracking based on spatiotemporal oriented energies", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.07.004", "https://doc-00-70-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/cj6kfl46pid2e3kamqpahch4tfuju2pc/1532808000000/15994626111015157098/*/0B9_PW9TCpxT0VWlIa0pBeFFuZ0U?e=download"]}, {"id": "356ec17af375b63a015d590562381a62f352f7d5", "title": "Occlusion Geodesics for Online Multi-object Tracking", "year": "2014", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr14.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr14_draft.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Possegger_Occlusion_Geodesics_for_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909566", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.170", "http://doi.org/10.1109/CVPR.2014.170"]}, {"id": "5c24758a6deec8fd726b25aaf1df69fdbc47072d", "title": "Fully Automatic, Real-Time Vehicle Tracking for Surveillance Video", "year": "2017", "pdf": ["https://www.cs.uic.edu/pub/Bits/YanziJin/tracker_CRV17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8287687", "http://doi.ieeecomputersociety.org/10.1109/CRV.2017.43", "http://doi.org/10.1109/CRV.2017.43"]}, {"id": "9a57f0233a616bab84fc35101637765510b1ed83", "title": "How good is my prediction? Finding a similarity measure for trajectory prediction evaluation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8317825", "http://doi.org/10.1109/ITSC.2017.8317825"]}, {"id": "e87b1ae1d9af4182e7c5b62c9bd01b15979dd59d", "title": "Addressing ambiguity in multi-target tracking by hierarchical strategy", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10716.pdf"], "doi": []}, {"id": "5db25e8c1e45bcdb64b743f81dbdc69f32c70004", "title": "Shadow Detection: A Survey and Comparative Evaluation of Recent Methods", "year": "2012", "pdf": ["https://arxiv.org/pdf/1304.1233.pdf"], "doi": []}, {"id": "37c4541037b67e8f4c538b285efe80aa251a49b9", "title": "Tracking as a Whole: Multi-Target Tracking by Modeling Group Behavior With Sequential Detection", "year": "2017", "pdf": ["http://crabwq.github.io/pdf/2017%20Tracking%20as%20A%20Whole%20Multi-Target%20Tracking%20by%20Modeling%20Group%20Behavior%20with%20Sequential%20Detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7896601", "http://doi.org/10.1109/TITS.2017.2686871"]}, {"id": "e0659abe7b377b146bcd8ac5040e620bd7f4ede4", "title": "Generative object detection and tracking in 3D range data", "year": "2012", "pdf": ["http://europa.informatik.uni-freiburg.de/files/kaestner12generative.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224585", "http://doi.org/10.1109/ICRA.2012.6224585"]}, {"id": "f0325a190d5d3e265d21e6a11342583e52b338f6", "title": "ESTHER: Joint Camera Self-Calibration and Automatic Radial Distortion Correction From Tracking of Walking Humans", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8605504"]}, {"id": "5da14895692fad7d1f403279faa743a657fa7ac4", "title": "Enhanced GM-PHD Filter Using CNN-Based Weight Penalization for Multi-Target Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8233230"]}, {"id": "ef61e43a1cce95afdc0696879085e834b981d5de", "title": "Real time multi-object tracking using multiple cameras Semester Project", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ef61/e43a1cce95afdc0696879085e834b981d5de.pdf"], "doi": []}, {"id": "2ec56b437ad9391ce5ed85b68561a4e58f21d976", "title": "Multi-target tracking on confidence maps: An application to people tracking", "year": "2013", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2013_CVIU_MultiTargetTracking_Poiesi_Mazzon_Cavallaro.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.08.008"]}, {"id": "b15e703ce4f01f4f0d52e835e2c907d5e8361bba", "title": "Online blind speech separation using multiple acoustic speaker tracking and time-frequency masking", "year": "2013", "pdf": ["http://www.cs.tut.fi/~pertila/Pertila-2013-CSL.pdf"], "doi": ["http://doi.org/10.1016/j.csl.2012.08.003"]}, {"id": "839a028f5928adca3b59c8bd1397d31a88ec285c", "title": "Automatic multiple zebrafish larvae tracking in unconstrained microscopic video conditions", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/s41598-017-17894-x", "https://www.ncbi.nlm.nih.gov/pubmed/29242568"]}, {"id": "bd4e64b1af4feff3e1e641523d99a642de23dda2", "title": "Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01366.pdf"], "doi": []}, {"id": "c9168495c99b37ce601bc778419c2667f34cb29b", "title": "Image Matching: An Application-oriented Benchmark", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03917.pdf"], "doi": []}, {"id": "c81430d4a9171d52920e36cc85bbfdea8457487b", "title": "3D tracking targets via kinematic model weighted particle filter", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552992", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552992", "http://doi.org/10.1109/ICME.2016.7552992"]}, {"id": "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "title": "Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.06654.pdf"], "doi": []}, {"id": "4d90d7834ae25ee6176c096d5d6608555766c0b1", "title": "Face and Body Association for Video-Based Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354115", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00011", "http://doi.org/10.1109/WACV.2018.00011"]}, {"id": "574476d73737fc8cdf2fde04a9750d1c3d83934c", "title": "Tracking All Road Users at Multimodal Urban Traffic Intersections", "year": "2016", "pdf": ["http://n.saunier.free.fr/saunier/stock/jodoin16tracking.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/hcding/201612011010/Tracking%20All%20Road%20Users%20at%20Multimodal.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7457695", "http://doi.org/10.1109/TITS.2016.2545245"]}, {"id": "1ea2a53a6cb9c08312276a2f0646935d5fab5ed3", "title": "Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.4481.pdf"], "doi": []}, {"id": "c4ec7ba2541258913425bacf925927becad83033", "title": "Improvement of Person Tracking Accuracy in Camera Network by Fusing WiFi and Visual Information", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1660", "http://www.informatica.si/index.php/informatica/article/download/1660/1022"]}, {"id": "5b74a57508069c719cff3c5410984be76f6b7785", "title": "Monotonicity and error type differentiability in performance measures for target detection and tracking in video", "year": "2012", "pdf": ["http://research.microsoft.com/pubs/160662/MSR-TR-2012-23.pdf", "http://www.researchgate.net/profile/Ido_Leichter/publication/256084992_Monotonicity_and_error_type_differentiability_in_performance_measures_for_target_detection_and_tracking_in_video/links/54e07f410cf2953c22b4d5f3.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MSR-TR-2012-23.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6494576", "http://doi.org/10.1109/TPAMI.2013.70", "https://www.ncbi.nlm.nih.gov/pubmed/23568961", "https://www.wikidata.org/entity/Q45802783"]}, {"id": "6512f42fd70b42300ea3f318e860d270cd6d3b0a", "title": "Joint multi-person detection and tracking from overlapping cameras", "year": "2014", "pdf": ["http://gavrila.net/cviu14.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.06.003"]}, {"id": "14261ffecd904d9aff97d98c70e49ec1d870112f", "title": "Online learning based multiple pedestrians tracking in thermal imagery for safe driving at night", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535367", "http://doi.org/10.1109/IVS.2016.7535367"]}, {"id": "14f0283c703e450e5f17cbe94878896de865ce30", "title": "Robust Visual Tracking for Multiple Targets with Data Association and Track Management", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/14f0/283c703e450e5f17cbe94878896de865ce30.pdf"], "doi": []}, {"id": "3e7b5b07da3465103929b4347852d456c0f0ed58", "title": "Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05842.pdf"], "doi": []}, {"id": "8d9f793bbf6a36285308fdaf2886c9c377f40413", "title": "Optimizing process for tracking people in video-camera network. (Optimisation du suivi de personnes dans un r\u00e9seau de cam\u00e9ras)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8d9f/793bbf6a36285308fdaf2886c9c377f40413.pdf"], "doi": []}, {"id": "cbae3eaf926aede9bec7ce2e28c35c1c50b1b43f", "title": "Fast RGB-D people tracking for service robots", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbae/3eaf926aede9bec7ce2e28c35c1c50b1b43f.pdf"], "doi": []}, {"id": "2e713b922c760b7cc8d3e7d12088e9806f2e9a8d", "title": "Exploring structure for long-term tracking of multiple objects in sports videos", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06454.pdf"], "doi": []}, {"id": "391ad25a3c5c7c504d46bbd21cb13464dfe052e6", "title": "Deep Multi-View Correspondence for Identity-Aware Multi-Target Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227423", "http://doi.org/10.1109/DICTA.2017.8227423"]}, {"id": "f61416e740ab891824c27ebde50cd7c78002001c", "title": "Deceived bilateral filter for improving the automatic cell segmentation and tracking in the NF-kB pathway without nuclear staining", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f614/16e740ab891824c27ebde50cd7c78002001c.pdf"], "doi": []}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "82ff25b6e7749e0210b2f8d5a0666f3499745154", "title": "Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/82ff/25b6e7749e0210b2f8d5a0666f3499745154.pdf"], "doi": []}, {"id": "7730fd15ff14dd84d71f965bfeab8e4d790d91d8", "title": "SpaRTA - Tracking across occlusions via global partitioning of 3D clouds of points", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05878.pdf"], "doi": []}, {"id": "f869693e44828d09bffd1d79f872071aa09ffd57", "title": "Mean-Field methods for Structured Deep-Learning in Computer Vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f869/693e44828d09bffd1d79f872071aa09ffd57.pdf"], "doi": []}, {"id": "65341edca2f74ffad7d0aa56f20558f5305b307e", "title": "Co-design of architectures and algorithms for mobile robot localization and model-based detection of obstacles. (Co-conception d'architectures et d'algorithmes pour la localisation de robots mobiles et la d\u00e9tection d'obstacles bas\u00e9e sur des mod\u00e8les)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae2a/b8c61522e2ea48b2ae4695901e39b1bc93bb.pdf"], "doi": []}, {"id": "c1f2887cf7ceb5c34138cec1ee6a7fa4869e58aa", "title": "Multiple human tracking using 3D ellipsoidal model and SIR-Particle Filter technique", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996140"]}, {"id": "32c16cbe2e6dd90de95150051114124177725be3", "title": "Joint Detection and Online Multi-object Tracking", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w29/Kieritz_Joint_Detection_and_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575355", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00195", "http://doi.org/10.1109/CVPRW.2018.00195"]}, {"id": "18babfe4c7230522527a068654eeea10b1a827fd", "title": "Discriminative Label Propagation for Multi-object Tracking with Sporadic Appearance Features", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Kumar_Discriminative_Label_Propagation_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751359", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.250", "http://doi.org/10.1109/ICCV.2013.250"]}, {"id": "ef8da5d714c269f9573dabb2da5ef5b33c13a0b0", "title": "Interactive Crowd Content Generation and Analysis Using Trajectory-Level Behavior Learning", "year": "2015", "pdf": ["http://gamma.cs.unc.edu/PDL/file/main.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7442270", "http://doi.ieeecomputersociety.org/10.1109/ISM.2015.89", "http://doi.org/10.1109/ISM.2015.89"]}, {"id": "dc7f3eb7d93676cc989d3ef8339804ade9d0c53e", "title": "Target Tracking with Kalman Filtering", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac7f/898ff5789914d423526c392ee61b979fdd8e.pdf"], "doi": []}, {"id": "8ec7194952ee9e7cf383b1a1b0aeccaed5b7daaa", "title": "Constrained multi-target tracking for team sports activities", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0038-z?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0038-z"]}, {"id": "57165586f65f25edd9d14f0173c4c35dab8c2e66", "title": "Aligning plot synopses to videos for story-based retrieval", "year": "2014", "pdf": ["http://www.cs.toronto.edu/~makarand/papers/IJMIR_plot-retrieval.pdf", "https://cvhci.anthropomatik.kit.edu/~mtapaswi/papers/IJMIR_plot-retrieval.pdf"], "doi": ["http://doi.org/10.1007/s13735-014-0065-9"]}, {"id": "e3cc912b9ca074e3d419c1dd289fd1b067fb61d5", "title": "Identifying multiple objects from their appearance in inaccurate detections", "year": "2015", "pdf": ["http://gavrila.net/cviu15_lda.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.012"]}, {"id": "a110602d15b1c98459071501483366a56cfb59d5", "title": "Online Video Text Detection with Markov Decision Process", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395179", "http://doi.ieeecomputersociety.org/10.1109/DAS.2018.20", "http://doi.org/10.1109/DAS.2018.20"]}, {"id": "4b7302e805eb079ccf2b9b6bf99c09479d4190e2", "title": "Multi-sensor identity tracking with event graphs", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631252", "http://doi.org/10.1109/ICRA.2013.6631252"]}, {"id": "e989286d575431d0c21d4e28a87c4d75ef99cb7a", "title": "Behavioral Pedestrian Tracking Using a Camera and LiDAR Sensors on a Moving Vehicle", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/e989/286d575431d0c21d4e28a87c4d75ef99cb7a.pdf"], "doi": []}, {"id": "aa5ed6ee0b2fd53df5cab952aa368f8c4908ffeb", "title": "REACH - Realtime crowd tracking using a hybrid motion model", "year": "2015", "pdf": ["http://gamma.cs.unc.edu/REACH/ICRA15Bera.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139261", "http://doi.org/10.1109/ICRA.2015.7139261"]}, {"id": "f9c580a24bd3f73190ccdd255208478e999d632d", "title": "DeWAFF: A novel image abstraction approach to improve the performance of a cell tracking system", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7160148"]}, {"id": "3e08d000ba3dd382c16e4295435ef8264235ccbc", "title": "Multiple People Tracking in Smart Camera Networks by Greedy Joint-Likelihood Maximization", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e08/d000ba3dd382c16e4295435ef8264235ccbc.pdf"], "doi": []}, {"id": "fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f", "title": "Multiple Object Tracking by Efficient Graph Partitioning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc30/d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f.pdf"], "doi": []}, {"id": "b98aec5bbe7116fa3ae5f9b4d77cb1f1141eaabd", "title": "Appearance-Based 3D Upper-Body Pose Estimation and Person Re-identification on Mobile Robots", "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Weinrich-SMC-2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6722501", "http://doi.org/10.1109/SMC.2013.748"]}, {"id": "25a5f7179b794ab2bb7283c8337480fccee51944", "title": "Two novel motion-based algorithms for surveillance video analysis on embedded platforms", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/25a5/f7179b794ab2bb7283c8337480fccee51944.pdf"], "doi": []}, {"id": "a9fcc7552ab942c0b54d05488da2310127fda764", "title": "Boosting Multi-hypothesis Tracking by Means of Instance-Specific Models", "year": "2012", "pdf": ["http://elvera.nue.tu-berlin.de/typo3/files/1368Paetzold2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328050", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.18", "http://doi.org/10.1109/AVSS.2012.18"]}, {"id": "b12c9773c6d948d36698666ec351a78c449c0d06", "title": "Figure-Aware Tracking under Occlusion from Monocular Videos", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281053"]}, {"id": "9ec2fc7df2db247a55a1af4fcb85710b25402ec1", "title": "Data fusion of radar and stereo vision for detection and tracking of moving objects", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813156"]}, {"id": "9fed3f4967bcdaebd1c321fee18fed865020a641", "title": "Objektsensitive Verfolgung und Klassifikation von Fu\u00dfg\u00e4ngern mit verteilten Multi-Sensor-Tr\u00e4gern", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9fed/3f4967bcdaebd1c321fee18fed865020a641.pdf"], "doi": []}, {"id": "3d21b7b4f48e614bc2f2b87eb110aa329b7d66d8", "title": "Recognizing Human Actions by Using Effective Codebooks and Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3d21/b7b4f48e614bc2f2b87eb110aa329b7d66d8.pdf"], "doi": []}, {"id": "3d2758e39308a64d2163cb638e684f58f868dbbc", "title": "Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities", "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr13.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr_2013_draft.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c395.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Possegger_Robust_Real-Time_Tracking_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619154", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.310", "http://doi.org/10.1109/CVPR.2013.310"]}, {"id": "92a93693f43a49a7b320d5771c6afaff98b27864", "title": "Audio-visual signal processing in a multimodal assisted living environment", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/92a9/3693f43a49a7b320d5771c6afaff98b27864.pdf"], "doi": []}, {"id": "40fc2803d3df9759a3853b040588a7d9be9542d2", "title": "Perception-prediction-control architecture for IP Pan-Tilt-Zoom camera through Interacting Multiple Models", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/46741/46741.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295100", "http://doi.org/10.5220/0004674103140324"]}, {"id": "aaaefba1bd0a9a9ec6c66a822d11fb907a05625c", "title": "On Detection, Data Association and Segmentation for Multi-target Tracking.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/aaae/fba1bd0a9a9ec6c66a822d11fb907a05625c.pdf"], "doi": []}, {"id": "bab47c7bf80c9310f947cbdaf71b3c983c497b68", "title": "Systematic Parameter Optimization and Application of Automated Tracking in Pedestrian Dominant Situations Date of submission : 2014-0801", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bab4/7c7bf80c9310f947cbdaf71b3c983c497b68.pdf"], "doi": []}, {"id": "5bae9822d703c585a61575dced83fa2f4dea1c6d", "title": "MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01942.pdf"], "doi": []}, {"id": "3da12b99cd8040bb374eed160f8016b3fe492967", "title": "Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context", "year": "2016", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2015/Multi-person%20tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7362180", "http://doi.org/10.1109/TCSVT.2015.2511480"]}, {"id": "1d4f56a9bb093c52569917537a93c7671db28e6f", "title": "Real-time Tracking of Player Identities in Team Sports", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1d4f/56a9bb093c52569917537a93c7671db28e6f.pdf"], "doi": []}, {"id": "280eea0fa86c811b5422012788853514876854aa", "title": "Multiple Feature Fusion in the Dempster-Shafer Framework for Multi-object Tracking", "year": "2014", "pdf": ["http://www.polymtl.ca/litiv/doc/RiahietAlCRV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6816859", "http://doi.ieeecomputersociety.org/10.1109/CRV.2014.49", "http://doi.org/10.1109/CRV.2014.49"]}, {"id": "0fcda01765c5a0b4cff99b5ed5139a6e1eddb689", "title": "Exploiting Long-Term Connectivity and Visual Motion in CRF-Based Multi-Person Tracking", "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/200304/files/Heili_TIP_2014.pdf", "http://publications.idiap.ch/downloads/reports/2013/Heili_Idiap-RR-06-2014.pdf", "http://publications.idiap.ch/downloads/reports/2014/Heili_Idiap-RR-05-2014.pdf", "http://www.idiap.ch/~odobez/publications/HeiliLopezOdobez-CRF-Tracking-TIP-2014.pdf", "https://infoscience.epfl.ch/record/198851/files/Heili_Idiap-RR-05-2014.pdf", "https://infoscience.epfl.ch/record/198852/files/Heili_Idiap-RR-06-2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6815670", "http://doi.org/10.1109/TIP.2014.2324292", "https://www.ncbi.nlm.nih.gov/pubmed/24835228", "https://www.wikidata.org/entity/Q50617362"]}, {"id": "788a4db5d51b26880ea1d092c121804592b0ef5e", "title": "Track-to-track fusion for multi-target tracking using asynchronous and delayed data", "year": "2017", "pdf": [], "doi": []}, {"id": "128ea529f079431220ea63229c934f36287910f9", "title": "Robust Vehicle Surveillance in Night Traffic Videos Using an Azimuthally Blur Technique", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957584", "http://doi.org/10.1109/TVT.2014.2371067"]}, {"id": "baa6be848d52268b71c2486e43940dc64412543c", "title": "Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227468", "http://doi.org/10.1109/DICTA.2017.8227468"]}, {"id": "4163947e9f6538df8e4171b1e5f378d2728099df", "title": "Microscopic crowd simulation : evaluation and development of algorithms. (Simulation microscopique de foules : \u00e9valuation et d\u00e9veloppement d'algorithmes)", "year": "2016", "pdf": ["https://tel.archives-ouvertes.fr/tel-01420105/file/WOLINSKI_David.pdf"], "doi": ["https://tel.archives-ouvertes.fr/tel-01420105"]}, {"id": "a6e7513371a49cd7b8b30bb444e8fc448c5326cb", "title": "Simple online and realtime tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00763.pdf"], "doi": []}, {"id": "4b0893bf71e4e13529cefb286c78b166a9491552", "title": "Estimating orientation in tracking individuals of flying swarms", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001496.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471926", "http://doi.org/10.1109/ICASSP.2016.7471926"]}, {"id": "ccde43d13203bf29ccf351e8c9a79ee4b0b36142", "title": "Combining patch matching and detection for robust pedestrian tracking in monocular calibrated cameras", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Claudio_Jung/publication/260042947_Combining_patch_matching_and_detection_for_robust_pedestrian_tracking_in_monocular_calibrated_cameras/links/0deec53345668eb9ff000000.pdf", "https://pdfs.semanticscholar.org/ccde/43d13203bf29ccf351e8c9a79ee4b0b36142.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2013.08.031"]}, {"id": "48c494a8f1fdda835417ccc395a42fe210efec2c", "title": "Efficient Spatio-Temporal Data Association Using Multidimensional Assignment in Multi-Camera Multi-Target Tracking", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db3d/dc4b57a231ce18ba24731e8427ede7cbab1c.pdf"], "doi": []}, {"id": "baf3b3abb3b449a8c1c7850c3ba0ae813aa6d2ad", "title": "A variational approach to simultaneous multi-object tracking and classification", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1177/0278364915583881"]}, {"id": "687ec23addf5a1279e49cc46b78e3245af94ac7b", "title": "UvA-DARE ( Digital Academic Repository ) Visual Tracking : An Experimental Survey Smeulders", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/687e/c23addf5a1279e49cc46b78e3245af94ac7b.pdf"], "doi": []}, {"id": "0816cbac9ea8f4425d9b57fd46174cb35cd5d7cc", "title": "People tracking in RGB-D data with on-line boosted target models", "year": "2011", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/luberIROS11.pdf", "http://www2.informatik.uni-freiburg.de/~arras/papers/luberIROS11.pdf", "http://www2.informatik.uni-freiburg.de/~luber/iros11/luberIROS11.pdf", "http://www2.informatik.uni-freiburg.de/~spinello/luberIROS11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6095075", "http://doi.org/10.1109/IROS.2011.6095075"]}, {"id": "159b87e6e68b18f4daa3505bfc415be9b21a7db6", "title": "Tracking The Invisible Man - Hidden-object Detection for Complex Visual Scene Understanding", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/159b/87e6e68b18f4daa3505bfc415be9b21a7db6.pdf"], "doi": []}, {"id": "45ca696076e9c073e6cf699766f808899589bc88", "title": "Aalborg Universitet Thermal Tracking of Sports Players", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1be2/ea37f0632fe1df4181f8931b69b8528cdd66.pdf"], "doi": []}, {"id": "e10a257f1daf279e55f17f273a1b557141953ce2", "title": "A survey of approaches and trends in person re-identification", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-9.pdf", "http://romisatriawahono.net/lecture/rm/survey/computer%20vision/Gala%20-%20Person%20Reidentification%20-%202014.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.001"]}, {"id": "bfe69413c439327680cba369c155f1d0fffb401d", "title": "A Sampling Algorithm for Occlusion Robust Multi Target Detection", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5279719", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2009.79", "http://doi.org/10.1109/AVSS.2009.79"]}, {"id": "3039a08c66d45168ab871303407d7e3047529bf6", "title": "Audio-visual tracking of multiple moving speakers.", "year": "2016", "pdf": [], "doi": []}, {"id": "65237b5e96c7492a0e5d01ddea5b1d381da408cd", "title": "A human-machine collaborative approach to tracking human movement in multi-camera video", "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1646436"]}, {"id": "9fd7d9e982fc2c0710a25f4df568d35262deda8c", "title": "A Unified Video Text Detection Method with Network Flow", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269993", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.62", "http://doi.org/10.1109/ICDAR.2017.62"]}, {"id": "6475c1e95da0a3bd36786a32d00a893d85460e9e", "title": "Combined image- and world-space tracking in traffic scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.07357.pdf"], "doi": []}, {"id": "486a0044b9c86c6f648f153f3d3f2e534342b754", "title": "Trajectories and Maneuvers of Surrounding Vehicles With Panoramic Camera Arrays", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/Trajectories-LISA-tiv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725511", "http://doi.org/10.1109/TIV.2016.2622921"]}, {"id": "ae872749c88331a93f8078aebf3a8d7f6d9c48fa", "title": "Modeling local behavior for predicting social interactions towards human tracking", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-10.pdf", "http://www2.cs.uh.edu/~xuyan/docs/pr2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.10.019"]}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "1ff89bd94d8a21b7ca4bf844e2d366f854822918", "title": "Robust Online Multi-object Tracking by Maximum a Posteriori Estimation with Sequential Trajectory Prior", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1ff8/9bd94d8a21b7ca4bf844e2d366f854822918.pdf"], "doi": []}, {"id": "3d3f9c4e14f5a1cbac756045dd22d2fcd3056169", "title": "A Novel Multi-Detector Fusion Framework for Multi-Object Tracking", "year": "2017", "pdf": [], "doi": []}, {"id": "aa01a6124ca44e88b1e6819ec434d7a26efd956a", "title": "Combined segmentation, reconstruction, and tracking of multiple targets in multi-view video sequences", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2016.08.006"]}, {"id": "e9c000b765ba5519050a61726e007c430cd5bfcb", "title": "Computer Vision \u2013 ECCV 2016 Workshops", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08434.pdf"], "doi": []}, {"id": "869df5e8221129850e81e77d4dc36e6c0f854fe6", "title": "A metric for sets of trajectories that is practical and mathematically consistent", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03094.pdf"], "doi": []}, {"id": "f668ada16a00836498445bd29037e4af21f75d7a", "title": "People Tracking on a Mobile Companion Robot", "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Volkhardt-SMC-2013b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6722496", "http://doi.org/10.1109/SMC.2013.743"]}, {"id": "4938651efabea4c55acb9485bdb0858a82e9013f", "title": "Labeled multi-Bernoulli tracking for industrial mobile platform safety", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.05966.pdf"], "doi": []}, {"id": "f59ac278349083a50871822ea08172258030265a", "title": "Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials", "year": "2016", "pdf": ["https://cse.sc.edu/~songwang/document/tip16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7536127", "http://doi.org/10.1109/TIP.2016.2598640"]}, {"id": "b040302c9e6dfc1501a70bed4636fe83730a26db", "title": "Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking", "year": "2016", "pdf": ["http://homepages.laas.fr/lerasle/pdf/eccv2016.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-46484-8_47", "https://hal.laas.fr/hal-01763166/document"]}, {"id": "7a329ed2735f5401d6f978036fb859b10a4fb96a", "title": "Fast Metric Multi-Object Vehicle Tracking for Dynamical Environment Comprehension", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7402161"]}, {"id": "ce12bbb8ce974df4b64f18e478d7fa99b722de03", "title": "A Hybrid Data Association Framework for Robust Online Multi-Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10764.pdf"], "doi": []}, {"id": "03306aa44c4073c14fd798229ef5c81c6ae50314", "title": "Automated Detection of Handwritten Whiteboard Content in Lecture Videos for Summarization", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8563220"]}, {"id": "cad7845e9668884caf4842b14983ec0e45bbbc75", "title": "Urban Tracker: Multiple object tracking in urban mixed traffic", "year": "2014", "pdf": ["http://www.jpjodoin.com/urbantracker/download/JodoinetAlWACV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836010", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836010", "http://doi.org/10.1109/WACV.2014.6836010"]}, {"id": "5e56c8776b5aa6edce068255134ea31670755b0c", "title": "Robust indoor speaker recognition in a network of audio and video sensors", "year": "2016", "pdf": ["http://www.research.ed.ac.uk/portal/files/28459152/1_s2.0_S0165168416300603_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/10652580/1_s2.0_S0165168416300603_main.pdf"], "doi": ["http://doi.org/10.1016/j.sigpro.2016.04.014"]}, {"id": "e5f39fee9b241b83f27ff9fce0fd027268c6d030", "title": "Multi-object tracking using dominant sets", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0297"]}, {"id": "e5a67c425ef3947f2294964692c9c3efc8d0ccab", "title": "Robust online multiple object tracking based on the confidence-based relative motion network and correlation filter", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533007", "http://doi.org/10.1109/ICIP.2016.7533007"]}, {"id": "795dec6a13b47655145e635a0e7b1ec04021ad7c", "title": "Multi-target Tracking in Crowded Scenes", "year": "2011", "pdf": ["https://www.dirk-farin.net/publications/data/Farin2011a.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-23123-0_41"]}, {"id": "e48dea5a5c4d74ec12b6817997bbef7975bde526", "title": "Planetary Monocular Simultaneous Localization and Mapping", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1002/rob.21608"]}, {"id": "44880df54e6caa3e7263db7a4d5cb77838f4698f", "title": "Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01394.pdf"], "doi": []}, {"id": "866dd3a16e035a7c724f8ec02d26e45655f7a002", "title": "Human tracking using TLD with Automatic Initiation", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3242855"]}, {"id": "0b5decf8a99c49a64dfed76d4d31b0b71c293767", "title": "Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04091.pdf"], "doi": []}, {"id": "f86792e5f5214a7a79b80d90ab1957a9050100ea", "title": "Advances of Scene Text Datasets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05219.pdf"], "doi": []}, {"id": "c610db0ee2d111452f70ce4854e48ab9d5c2b1ab", "title": "Fast and Robust Multi-people Tracking from RGB-D Data for a Mobile Robot", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2bb4/5b2d3205e4631ccde488f1a8619c9625f481.pdf"], "doi": []}, {"id": "40d4fab85e2e1557e61d03b92429d64c6efba101", "title": "Detection-based multi-human tracking using a CRF model", "year": "2011", "pdf": ["http://publications.idiap.ch/downloads/papers/2011/Heili_ICCV-VS_2011.pdf", "http://publications.idiap.ch/downloads/papers/2011/Heili_VS2011_2011.pdf", "http://www.idiap.ch/~odobez/publications/HeiliChenOdobez-ICCV-VS-2011.pdf", "https://infoscience.epfl.ch/record/192447/files/Heili_ICCV-VS_2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130451", "http://doi.org/10.1109/ICCVW.2011.6130451"]}, {"id": "291be6e3027575287c24f4363e4bf7a8b415d4c1", "title": "MSER-Based Real-Time Text Detection and Tracking", "year": "2014", "pdf": ["http://refbase.cvc.uab.es/files/GoK2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977248", "http://doi.org/10.1109/ICPR.2014.536"]}, {"id": "6b78f2ece211c2d1eb6699e1e057b7beb3e0b4a7", "title": "GM-PHD-Based Multi-Target Visual Tracking Using Entropy Distribution and Game Theory", "year": "2014", "pdf": ["http://personal.cityu.edu.hk/~meyfli/Publication/file/ZXL_TII14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678810", "http://doi.org/10.1109/TII.2013.2294156"]}, {"id": "d7f7eb0fbe3339d13f5a6a23df0fd27fdb357d48", "title": "Intention-Aware Multi-Human Tracking for Human-Robot Interaction via Particle Filtering over Sets", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d7f7/eb0fbe3339d13f5a6a23df0fd27fdb357d48.pdf"], "doi": []}, {"id": "cef092bf9beed65e379ab48ef2b43498d4aaea92", "title": "Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cef0/92bf9beed65e379ab48ef2b43498d4aaea92.pdf"], "doi": []}, {"id": "4443ee5eaa56e41acddb62cacbc2f6d8c84ccd59", "title": "Multiple Objects Fusion Tracker Using a Matching Network for Adaptively Represented Instance Pairs", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4443/ee5eaa56e41acddb62cacbc2f6d8c84ccd59.pdf"], "doi": []}, {"id": "c9df1be91e16b3fb566e54fb0bc4ae58cce9935e", "title": "Multiple pedestrians tracking algorithm by incorporating histogram of oriented gradient detections", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2012.0500"]}, {"id": "300b819bbbe857f5fe89d0895f907073fc288719", "title": "Towards a Robust People Tracking Framework for Service Robots in Crowded , Dynamic Environments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/300b/819bbbe857f5fe89d0895f907073fc288719.pdf"], "doi": []}, {"id": "2efc4eee3953f6b52e23989bbcc2598a91e18ba0", "title": "External Cameras and a Mobile Robot for Enhanced Multi-person Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2efc/4eee3953f6b52e23989bbcc2598a91e18ba0.pdf"], "doi": []}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "8aa5f1b2639da73c2579ea9037a4ebf4579fdc4f", "title": "A Steerable multitouch Display for Surface Computing and its Evaluation", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8aa5/f1b2639da73c2579ea9037a4ebf4579fdc4f.pdf"], "doi": []}, {"id": "094aaeac2712700e340827e2ed2b6d6e4c556ded", "title": "A single performance characteristic for the evaluation of seeker tracking algorithms", "year": "2014", "pdf": ["http://www.scitepress.org/papers/2013/43911/43911.pdf"], "doi": ["https://doi.org/10.1134/S1054661814020047"]}, {"id": "af8cd04bbe4902123d7042985159a6a5da9d9fb9", "title": "Repr\u00e9senter pour suivre : Exploitation de repr\u00e9sentations parcimonieuses pour le suivi multi-objets. (Representing to follow: Exploitation of parsimonious representations for multi-object tracking)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/af8c/d04bbe4902123d7042985159a6a5da9d9fb9.pdf"], "doi": []}, {"id": "5d15b9a200f1eea522846cfeacbec77a7b59a8b7", "title": "Scene Aware Detection and Block Assignment Tracking in crowded scenes", "year": "2012", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/%5B2012%5D%5BIVC%5DScene%20Aware%20Detection%20and%20Block%20Assignment%20Tracking%20in%20crowded%20scenes_FinalPublishCopy.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.02.008"]}, {"id": "2965d092ed72822432c547830fa557794ae7e27b", "title": "Improving representation and classification of image and video data for surveillance applications", "year": "2012", "pdf": [], "doi": []}, {"id": "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "title": "Online multi-object tracking via robust collaborative model and sample selection", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu16_MOT.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cviu17_MOT.pdf", "https://users.encs.concordia.ca/~rcmss/include/Papers/CVIU2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.07.003"]}, {"id": "6b55153f8d87bfd0dfb2f24eb2aa61d40e314cae", "title": "Track, Then Decide: Category-Agnostic Vision-Based Multi-Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07920.pdf"], "doi": []}, {"id": "2a8812f286669c4bc0eca462c6cbd90a4a9fb5a8", "title": "Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios", "year": "2010", "pdf": ["http://conradsanderson.id.au/pdfs/sanin_shadow_removal_icpr_2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597618", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.43", "http://doi.org/10.1109/ICPR.2010.43"]}, {"id": "35e730f7967155b9394f9e5d3cadf2b955ce9a7b", "title": "Deep Affinity Network for Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11780.pdf"], "doi": []}, {"id": "3dffacda086689c1bcb01a8dad4557a4e92b8205", "title": "Multiple Object Tracking: A Literature Review", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7618.pdf"], "doi": []}, {"id": "29a46aed79df53a1984ee755bed4c8ba2ae94040", "title": "Multiple Object Tracking Using K-Shortest Paths Optimization", "year": "2011", "pdf": ["http://cmp.felk.cvut.cz/~navara/RG/berclaz-et-al-tpami2011.pdf", "http://cvlab.epfl.ch/files/content/sites/cvlab2/files/publications/publications/2011/BerclazFTF11.pdf", "https://infoscience.epfl.ch/record/164041/files/top.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5708151", "http://doi.org/10.1109/TPAMI.2011.21", "https://www.ncbi.nlm.nih.gov/pubmed/21282851", "https://www.wikidata.org/entity/Q50688623"]}, {"id": "b35464a8609a257b0b43b1a0faee0402a054f1be", "title": "Towards the evaluation of reproducible robustness in tracking-by-detection", "year": "2015", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/avss_2015_calderara.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301755", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301755", "http://doi.org/10.1109/AVSS.2015.7301755"]}, {"id": "235f4fad10a5d9e043759354a7cb94122a8f10fc", "title": "Multi-perspective vehicle detection and tracking: Challenges, dataset, and metrics", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0575.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795671", "http://doi.org/10.1109/ITSC.2016.7795671"]}, {"id": "92980965514210b4f6dd074d122078d54684f724", "title": "Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06415.pdf"], "doi": []}, {"id": "5014f5dd9d3586dae0572325085647ddc187fa3f", "title": "Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Kuk-Jin_Yoon/publication/262109502_Robust_Online_Multiobject_Tracking_With_Data_Association_and_Track_Management/links/547682310cf2778985b08003.pdf", "https://cvl.gist.ac.kr/wp-content/uploads/2014/04/CVPR_2014_Online_MTT_Confidence_Rd.pdf", "https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Bae_Robust_Online_Multi-Object_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909555", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.159", "http://doi.org/10.1109/CVPR.2014.159"]}, {"id": "d7f22666206258c206c4634ad9b22f95e44504f5", "title": "Iterative refinement of multiple targets tracking of solar events", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7004402", "http://doi.org/10.1109/BigData.2014.7004402"]}, {"id": "e0f3b8cbf90096bb0d4b36324c6fe7db89f580b9", "title": "R\u00e9-identification de personnes : Application aux r\u00e9seaux de cam\u00e9ras \u00e0 champs disjoints", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e0f3/b8cbf90096bb0d4b36324c6fe7db89f580b9.pdf"], "doi": []}, {"id": "c74a42afeae520ff6ab280d17bccf0d082ba8de5", "title": "The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c74a/42afeae520ff6ab280d17bccf0d082ba8de5.pdf"], "doi": []}, {"id": "35af45f799c65d21bbb3cd24f666de861bad33b0", "title": "Multi-Target Tracking by Discrete-Continuous Energy Minimization", "year": "2016", "pdf": ["http://www.milanton.de/files/pami2016/pami2016-anton.pdf", "http://www.visinf.tu-darmstadt.de/media/visinf/vi_papers/2015/milan-pami-preprint.pdf", "https://download.visinf.tu-darmstadt.de/papers/2016-pami-milan-multi_target_tracking_dc-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346505", "http://doi.org/10.1109/TPAMI.2015.2505309", "https://www.ncbi.nlm.nih.gov/pubmed/26660703", "https://www.wikidata.org/entity/Q40218457"]}, {"id": "2323cb559c9e18673db836ffc283c27e4a002ed9", "title": "Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association", "year": "2016", "pdf": ["http://arxiv.org/pdf/1605.04502v1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w12/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.55", "http://doi.org/10.1109/CVPRW.2016.55"]}, {"id": "9662acb7fa75691ff0e7d1be87763af469419b8b", "title": "Multi Object Tracking Algorithm use in Video Surveillance Systems", "year": "2015", "pdf": [], "doi": []}, {"id": "08030f9d34cc96384f672d9f9f296914d594335b", "title": "Multiple Object Tracking: A Review", "year": "2014", "pdf": [], "doi": []}, {"id": "29d291e71334392f6a04c53a4194d4ff29a460bf", "title": "Multiple human tracking in RGB-depth data: a survey", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/29d2/91e71334392f6a04c53a4194d4ff29a460bf.pdf"], "doi": []}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"], "doi": []}, {"id": "fca56ec29f1d567f829be5f8477a81f1ce732f86", "title": "Social Force Model-Based MCMC-OCSVM Particle PHD Filter for Multiple Human Tracking", "year": "2017", "pdf": ["http://epubs.surrey.ac.uk/813052/13/FengWDNC_TMM_2016_postprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779037", "http://doi.org/10.1109/TMM.2016.2638206"]}, {"id": "71599901b889e24372012ac405d5cfaef79f94b8", "title": "Better models for people tracking", "year": "2011", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/luberICRA11.pdf", "http://www2.informatik.uni-freiburg.de/~luber/icra11/luberICRA11.pdf", "http://www2.informatik.uni-freiburg.de/~tipaldi/sites/default/files/luberICRA11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5980296", "http://doi.org/10.1109/ICRA.2011.5980296"]}, {"id": "9a40afeb829b7f7f7696c9c0767a5da8cc5eed5a", "title": "Active colloids segmentation and tracking", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.04.022"]}, {"id": "1bea531e8271202462c7907f60a8458fa5aec00d", "title": "Ein generisches System zur automatischen Detektion, Verfolgung und Wiedererkennung von Personen in Videodaten", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1bea/531e8271202462c7907f60a8458fa5aec00d.pdf"], "doi": []}, {"id": "e90816e1a0e14ea1e7039e0b2782260999aef786", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"], "doi": []}, {"id": "d8671247f6188620c6e382ffcd15d3e909647c63", "title": "Multicamera human detection and tracking supporting natural interaction with large-scale displays", "year": "2012", "pdf": ["http://users.ics.forth.gr/~argyros/mypapers/2012_XX_journal_mva_macrografia.pdf", "http://users.ics.forth.gr/~zabulis/macrographia.pdf"], "doi": ["http://doi.org/10.1007/s00138-012-0408-6", "https://www.wikidata.org/entity/Q57736337"]}, {"id": "0c25a4636ebde18e229f7e459f1adaab1e9a2db9", "title": "Multi-class Classification and Clustering based Multi-object Tracking", "year": "", "pdf": ["https://pdfs.semanticscholar.org/0c25/a4636ebde18e229f7e459f1adaab1e9a2db9.pdf"], "doi": []}, {"id": "0f94f4934d0a26dfd243852036468ecc9bf8d22c", "title": "Low Resolution Lidar-Based Multi-Object Tracking for Driving Applications", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f94/f4934d0a26dfd243852036468ecc9bf8d22c.pdf"], "doi": []}, {"id": "ab98cb28dc85f85da8b7b3acb090008bab26dd54", "title": "Qualitative Evaluation of Tracking Systems: A Model based approach", "year": "2012", "pdf": [], "doi": []}, {"id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "title": "Stable multi-target tracking in real-time surveillance video", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995667"]}, {"id": "13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d", "title": "Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.04502.pdf"], "doi": []}, {"id": "213255dca20f9a62d5121bb3c875d99c57913a25", "title": "Local cellular neighborhood controls proliferation in cell competition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2132/55dca20f9a62d5121bb3c875d99c57913a25.pdf"], "doi": []}, {"id": "1454b646866052ef61a838737bd74ae191210cf0", "title": "Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01909.pdf"], "doi": []}, {"id": "eb8ee9e0672241ab3acf7ded2d22d97861da65fe", "title": "Towards Quality Aware Collaborative Video Analytic Cloud", "year": "2012", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-37.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6253500", "http://doi.ieeecomputersociety.org/10.1109/CLOUD.2012.141", "http://doi.org/10.1109/CLOUD.2012.141"]}, {"id": "48705017d91a157949cfaaeb19b826014899a36b", "title": "PROBABILISTIC MULTI-PERSON TRACKING USING DYNAMIC BAYES NETWORKS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4870/5017d91a157949cfaaeb19b826014899a36b.pdf"], "doi": []}, {"id": "becb704450c6b2f7f57f03955036a5b66380b816", "title": "A Software Architecture for RGB-D People Tracking Based on ROS Framework for a Mobile Robot", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/becb/704450c6b2f7f57f03955036a5b66380b816.pdf"], "doi": []}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "42c40c668b5c0c28f63915b069641100f4f0e39e", "title": "Tracking-by-reidentification in a Non-overlapping Fields of View Cameras Network", "year": "2012", "pdf": [], "doi": []}, {"id": "5cdb9ef5ad646a6bdcc7c1fc33eab24e0a4a6bc1", "title": "Tracking When the Camera Looks Away", "year": "2015", "pdf": ["http://crcv.ucf.edu/papers/Soomro_ICCVW15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w21/papers/Soomro_Tracking_When_the_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406450", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.101", "http://doi.org/10.1109/ICCVW.2015.101"]}, {"id": "6008ac8efbea0f9cfddfabbfa02f62f742685028", "title": "An equalised global graphical model-based approach for multi-camera object tracking", "year": "2015", "pdf": [], "doi": []}, {"id": "367b5b814aa991329c2ae7f8793909ad8c0a56f1", "title": "Performance evaluation of random set based pedestrian tracking algorithms", "year": "2013", "pdf": ["https://arxiv.org/pdf/1211.0191.pdf"], "doi": []}, {"id": "05036f4b48857275f50a191f83f7ac1ff0bfc5b1", "title": "Trade-off Between GPGPU based Implementations of Multi Object Tracking Particle Filter.", "year": "2017", "pdf": ["http://www.scitepress.org/Papers/2017/60923/60923.pdf"], "doi": ["http://doi.org/10.5220/0006092301230131", "https://hal.laas.fr/hal-01763095/document"]}, {"id": "da523ee3b7e8077713ebb7d903c3dc3bcb78921a", "title": "Multi-person tracking-by-detection based on calibrated multi-camera systems", "year": "2012", "pdf": ["http://hera.inf-cv.uni-jena.de:6680/pdf/Jiang12:MTB.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33564-8_89"]}, {"id": "e66925e6aad8d89b8a140b70e495bcbde72c8011", "title": "DEVELOPMENT OF A VISUAL OBJECT TRACKING SYSTEM USING COMPRESSIVE SENSIG FRAMEWORK FOR MODELLING THE APPEARANCE DESARROLLO DE UN SISTEMA DE SEGUIMIENTO DE OBJETOS USANDO LA TEORI\u0301A DE \u201cCOMPRESSIVE SENSING\u201d PARA MODELAR LA APARIENCIA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e669/25e6aad8d89b8a140b70e495bcbde72c8011.pdf"], "doi": []}, {"id": "169ae32829821d5e22c4744a42223f78a88de3b9", "title": "Joint Monocular 3D Vehicle Detection and Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10742.pdf"], "doi": []}, {"id": "55e28e4c174bb7ad2fd80be3c13a033bbd91ac7a", "title": "Detection and Tracking of General Movable Objects in Large 3 D Maps", "year": "2017", "pdf": [], "doi": []}, {"id": "632c114e12a6b88bd488ddfb1960d669f101ca3f", "title": "Multi-face tracking by extended bag-of-tracklets in egocentric photo-streams", "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.04576.pdf"], "doi": []}, {"id": "c8e32484bbbc63908080284790edafc4b66008d2", "title": "Suivi par r\u00e9-identification dans un r\u00e9seau de cam\u00e9ras \u00e0 champs disjoints", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c8e3/2484bbbc63908080284790edafc4b66008d2.pdf"], "doi": []}, {"id": "3504852a821693857b30c47e08374b479d29ff8f", "title": "Multiple Target Tracking with Recursive-RANSAC and Machine Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3504/852a821693857b30c47e08374b479d29ff8f.pdf"], "doi": []}, {"id": "a3650762391efbaa743b8212ee408b09f66f0604", "title": "Vision Based Multiple Target Tracking Using Recursive RANSAC", "year": "2015", "pdf": [], "doi": []}, {"id": "89e324b9c64a800e57ad82eddecc03f2cc0b7cc5", "title": "Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07468.pdf"], "doi": []}, {"id": "3b2f78a4edf5da876e52513d0e3960da7d3a253f", "title": "Qualitative Evaluation of Detection and Tracking Performance", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328006", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.57", "http://doi.org/10.1109/AVSS.2012.57"]}, {"id": "02e97e65fd0ec9a6d98a255d0396eb796a5e444a", "title": "Online Multiple View Tracking: Targets Association Across Cameras", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/02e9/7e65fd0ec9a6d98a255d0396eb796a5e444a.pdf"], "doi": []}, {"id": "1bf01e83fba634bab085ec5f0ab86a1a67da8577", "title": "An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1502.03532.pdf"], "doi": []}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"], "doi": []}, {"id": "7b78af7951708f6059d374e2385a69ea367f62d2", "title": "The positioning accuracy based on the UWB technology for an object on circular trajectory", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7b78/af7951708f6059d374e2385a69ea367f62d2.pdf"], "doi": []}, {"id": "e527cd5b8a74cb47b291ff5b3b793840e5fa5b11", "title": "Automatic trajectory measurement of large numbers of crowded objects", "year": "2013", "pdf": ["https://arxiv.org/pdf/1902.00835.pdf"], "doi": []}, {"id": "489ef25ef51b2a2e660f8085d482fa5801d59058", "title": "Interpolation-Based Object Detection Using Motion Vectors for Embedded Real-time Tracking Systems", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575254"]}, {"id": "500eeaffef9b28d9253d5ac3fd0bb3a9317e482a", "title": "HoG based real-time multi-target tracking in Bayesian framework", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738080", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738080", "http://doi.org/10.1109/AVSS.2016.7738080"]}, {"id": "1d08754a95715d1058772b48ecfb082bddfb16d8", "title": "Discriminative and Efficient Label Propagation on Complementary Graphs for Multi-Object Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.01124.pdf"], "doi": []}, {"id": "d4d3e579a2a8e3ca44d42e3bcc31c3f36b3e46a5", "title": "Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307067", "http://doi.org/10.1109/ACCESS.2018.2812794"]}, {"id": "c2f2c89d7615df07b540748d6c53485c4cbfa9c0", "title": "An Experience Report on Requirements-Driven Model-Based Synthetic Vision Testing", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c2f2/c89d7615df07b540748d6c53485c4cbfa9c0.pdf"], "doi": []}, {"id": "60978f66eac568ae65d3acdc6559273fc30bc8c4", "title": "GReTA-A Novel Global and Recursive Tracking Algorithm in Three Dimensions", "year": "2015", "pdf": ["https://arxiv.org/pdf/1305.1495.pdf"], "doi": []}, {"id": "72a79f351d4ae03ff940ff920898e41ce960f58e", "title": "Author's Personal Copy Backtracking: Retrospective Multi-target Tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/72a7/9f351d4ae03ff940ff920898e41ce960f58e.pdf"], "doi": []}, {"id": "6527cf0b9dbddbd0c6429a35a3cbded3ca336583", "title": "MCMC Supervision for People Re-identification in Nonoverlapping Cameras", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a997/1dbf42b913503198e63286b7656a6b62b1f5.pdf"], "doi": []}, {"id": "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "title": "Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10984.pdf"], "doi": []}, {"id": "9f182f2f1ed71e57cf56ef161e05ca3e8816fecc", "title": "Online Multi-Object Tracking via Combining Discriminative Correlation Filters With Making Decision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418354", "http://doi.org/10.1109/ACCESS.2018.2858853"]}, {"id": "22ee43dbd2bdefbc8945d453c6cd453f49ab5eb7", "title": "Urban Traffic Surveillance in Smart Cities Using Radar Images", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/22ee/43dbd2bdefbc8945d453c6cd453f49ab5eb7.pdf"], "doi": []}, {"id": "0b8c9acb478c856eb157c648b25b3d60117392fd", "title": "Learning to Divide and Conquer for Online Multi-target Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03956.pdf"], "doi": []}, {"id": "d120b3c3ea620cbc6400f0e31d584fd2f2e8c8b7", "title": "Realtime Pedestrian Tracking and Prediction in Dense Crowds", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/B978-0-12-809276-7.00020-5"]}, {"id": "f9296decd223b13fca96836caf42aa037cd5055e", "title": "Efficient Resource Allocation for Sparse Multiple Object Tracking", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f929/6decd223b13fca96836caf42aa037cd5055e.pdf"], "doi": []}, {"id": "2f04c7aaac3a884088be550d1be51b4a0b585a2e", "title": "Robust, Real-Time 3D Tracking of Multiple Objects with Similar Appearances", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Sekii_Robust_Real-Time_3D_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Sekii_Robust_Real-Time_3D_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780832", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.463", "http://doi.org/10.1109/CVPR.2016.463"]}, {"id": "6388c3f3559b61632942856bbede67b724542c9e", "title": "Multi-Target Tracking Using Hierarchical Convolutional Features and Motion Cues", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6388/c3f3559b61632942856bbede67b724542c9e.pdf"], "doi": []}, {"id": "21262e01039e5994114b4c102fc80e9afa3f1bde", "title": "Pedestrian Detection and Tracking in Thermal Images from Aerial MPEG Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2126/2e01039e5994114b4c102fc80e9afa3f1bde.pdf"], "doi": []}, {"id": "2bdc0c79b26fed51bc2af1af16117879ee3f571e", "title": "Augmented Multitouch Interaction upon a 2-DOF Rotating Disk", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2bdc/0c79b26fed51bc2af1af16117879ee3f571e.pdf"], "doi": []}, {"id": "2cc17e1ccb5f1f67f8ce882e683d8c66475330be", "title": "Multitarget tracking with the von Mises-Fisher filter and probabilistic data association", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2cc1/7e1ccb5f1f67f8ce882e683d8c66475330be.pdf"], "doi": []}, {"id": "7e703d57e9eea387f4d01e47f4990fbe403e4a8e", "title": "ICDAR 2013 Robust Reading Competition", "year": "2013", "pdf": ["http://dagdata.cvc.uab.es/icdar2013competition/files/icdar2013_competition_report.pdf", "http://refbase.cvc.uab.es/files/KSU2013.pdf", "http://vijaychan.github.io/Publications/2015%20ICDAR%20-%202015%20ICDAR%20Robust%20Reading%20Competition.pdf", "http://www.csse.uwa.edu.au/~shafait/papers/Dimos-Robust-Reading-Contest-ICDAR13.pdf", "http://www.cvc.uab.es/icdar2011competition/images/Robust_Reading_Challenge_1_v04_Print.pdf", "http://www.m.cs.osakafu-u.ac.jp/publication_data/1352/icdar_competition_report.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6628859", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2013.221", "http://doi.org/10.1109/ICDAR.2013.221"]}, {"id": "b8b202fa955801da840afc9f523d439d14d87cc1", "title": "A Novel Approach for Monocular 3 D Object Tracking in Cluttered Environment 853 Monocular Video Sequences", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b8b2/02fa955801da840afc9f523d439d14d87cc1.pdf"], "doi": []}, {"id": "0cb54b1d796bd24694b7a4fa1a35088d5c6bc313", "title": "An Online and Flexible Multi-object Tracking Framework Using Long Short-Term Memory", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w21/Wan_An_Online_and_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575325", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00169", "http://doi.org/10.1109/CVPRW.2018.00169"]}, {"id": "e38c0c03f272270aed6a39fbc6275b132dfb498d", "title": "Scene Video Text Tracking With Graph Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8283802", "http://doi.org/10.1109/ACCESS.2018.2797181"]}, {"id": "a67a84115304d3e55e00607d0dfbd3b20c8b8672", "title": "Particle filter based Conjoint Individual-Group Tracker (CIGT)", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301737", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301737", "http://doi.org/10.1109/AVSS.2015.7301737"]}, {"id": "c8633d0eff70feb0a378337237d4a03fec582290", "title": "Adaptive Patch-Based Background Modelling for Improved Foreground Object Segmentation and Tracking", "year": "2010", "pdf": ["http://conradsanderson.id.au/pdfs/reddy_adaptive_avss_2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597143", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2010.84", "http://doi.org/10.1109/AVSS.2010.84"]}, {"id": "b7e4f5531485b21c9ff6b0a3f93c15fb7a25ae81", "title": "Multiple Object Tracking Based on Robust Network Flow Model", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820465", "http://doi.ieeecomputersociety.org/10.1109/CIS.2016.0074", "http://doi.org/10.1109/CIS.2016.0074"]}, {"id": "62f5a4424ee0f383f3477cbd9d9e7b2e9c6adb14", "title": "Automatic generation of scene-specific person trackers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738079", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738079", "http://doi.org/10.1109/AVSS.2016.7738079"]}, {"id": "c1a35c25139e4eb94c34cbcca4eabe574c4466e8", "title": "3D Robotic Sensing of People: Human Perception, Representation and Activity Recognition", "year": "2014", "pdf": [], "doi": []}, {"id": "98a8ce914de8846105ee1ee56c0b201d0b0357ac", "title": "End-to-End Scene Text Recognition in Videos Based on Multi Frame Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270138", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.207", "http://doi.org/10.1109/ICDAR.2017.207"]}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "ce6d4264e63b195563f8b958c129b03cb2c989f5", "title": "MOTS: Multi-Object Tracking and Segmentation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03604.pdf"], "doi": []}, {"id": "76a8d37bab548faef5e7ee1653be8985ed0713ad", "title": "No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08755.pdf"], "doi": []}, {"id": "1e335a6d3cdfe8f53540766b1495c45f72d8fb2f", "title": "Multi-Target Tracking and Occlusion Handling With Learned Variational Bayesian Clusters and a Social Force Model", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01726.pdf"], "doi": []}, {"id": "1be32039596ff52fa09772f4606b65845d1c5853", "title": "Analysis-by-synthesis: Pedestrian tracking with crowd simulation models in a multi-camera video network", "year": "2015", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/78411.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/pedestriantrackingwithcrowdsim14.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.10.001"]}, {"id": "1d81293bc17a135cfd35912146c538cd81830381", "title": "Single camera multi-person tracking based on crowd simulation", "year": "2012", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2012/Single%20Camera%20Multi-person%20Tracking12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460958", "http://ieeexplore.ieee.org/document/6460958/"]}, {"id": "1e82a8965f08e8d38b16f39412e6e3c456f6f22e", "title": "Social force model aided robust particle PHD filter for multiple human tracking", "year": "2016", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0004398.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472508", "http://doi.org/10.1109/ICASSP.2016.7472508"]}, {"id": "2fa16dc0ee50550c1bf58c410912d48cddbc3554", "title": "Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.01890.pdf"], "doi": []}, {"id": "e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5", "title": "Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6d4/8d23308a9e0a215f7b5ba6ae30ee5d2f0ef5.pdf"], "doi": []}, {"id": "fcf0963095ff472132fe46d0cc543aff2735a0bb", "title": "A Framework to Combine Multi-Object Video Segmentation and Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227387", "http://doi.org/10.1109/DICTA.2017.8227387"]}, {"id": "95296302a7fc82edf782cece082d7319cfa584b7", "title": "Detection-free Bayesian Multi-object Tracking via Spatio-Temporal Video Bundles Grouping", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9529/6302a7fc82edf782cece082d7319cfa584b7.pdf"], "doi": []}, {"id": "296cacad71b4181eca4a571cf080d2baee229dcc", "title": "Towards Multi-Object Detection and Tracking in Urban Scenario under Uncertainties", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.02686.pdf"], "doi": []}, {"id": "10c077bf2dd1bed928926feb37837862ab786808", "title": "Multiple Target Tracking and Identity Linking under Split, Merge and Occlusion of Targets and Observations", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/10c0/77bf2dd1bed928926feb37837862ab786808.pdf"], "doi": []}, {"id": "a8d5f1416760dbd8d2993358938f85c7ab04e85a", "title": "Robust Multi-person Tracking for Real-Time Intelligent Video Surveillance", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a8d5/f1416760dbd8d2993358938f85c7ab04e85a.pdf"], "doi": []}, {"id": "42f643a184183d639e976daa756c277779c066f8", "title": "Convolutional Recurrent Predictor: Implicit Representation for Multi-target Filtering and Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00313.pdf"], "doi": []}, {"id": "5084ca7e4db3168e674414ae55cb6f4e682214e1", "title": "Detect-and-Track: Efficient Pose Estimation in Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578142"]}, {"id": "6eeb16c858a53d48b7d669d1feada739c80c8563", "title": "AFL Player Detection and Tracking", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371226", "http://doi.org/10.1109/DICTA.2015.7371226"]}, {"id": "76c327cce83905bda72944407fce7746ed0cb6fc", "title": "Dynamic task decomposition for decentralized object tracking in complex scenes", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.02.007"]}, {"id": "7766ab86a7bea8809129e4af769b4595578e63fc", "title": "Improvements to Tracking Pedestrians in Video Streams Using a Pre-trained Convolutional Neural Network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7766/ab86a7bea8809129e4af769b4595578e63fc.pdf"], "doi": []}, {"id": "8877c5afa16b025452e444e0798292fe7ee4dca6", "title": "Occlusion Robust Symbol Level Fusion for Multiple People Tracking", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8877/c5afa16b025452e444e0798292fe7ee4dca6.pdf"], "doi": []}, {"id": "afeac9270149b927b592e2299d11095fbdf8d308", "title": "Accurate 3D Multi-marker Tracking in X-ray Cardiac Sequences Using a Two-Stage Graph Modeling Approach", "year": "2013", "pdf": ["http://hera.inf-cv.uni-jena.de:6680/pdf/Jiang13:AMM.pdf", "http://herakles.inf-cv.uni-jena.de/biborb/bibs/cv/papers/Jiang13:AMM.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-40246-3_15"]}, {"id": "da628bf4add6e2a4631be1267033143e5f716ebe", "title": "The acquisition of coarse gaze estimates in visual surveillance", "year": "2011", "pdf": [], "doi": []}, {"id": "60fb007eef153fdf9c3d6620c419bef1c657c555", "title": "A soft-biometrics dataset for person tracking and re-identification", "year": "2014", "pdf": ["https://cvhci.anthropomatik.kit.edu/~aschuman/sobisdata/files/avss2014.pdf", "https://cvhci.anthropomatik.kit.edu/~aschuman/sobisdata/files/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918667", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918667", "http://doi.org/10.1109/AVSS.2014.6918667"]}, {"id": "24f367315bdb96ac001d568b8e2c0ff022845ca5", "title": "MAP-Based Online Data Association for Multiple People Tracking in Crowded Scenes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976928", "http://doi.org/10.1109/ICPR.2014.218"]}, {"id": "1a20c1d04b93d91cf2fd0b4e3c7bf1153a93942c", "title": "Re-identification for Improved People Tracking", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1a20/c1d04b93d91cf2fd0b4e3c7bf1153a93942c.pdf"], "doi": []}, {"id": "ad88fcfd12b62d607259db8d98e2a1a0a9642ca0", "title": "Real-time tracking-with-detection for coping with viewpoint change", "year": "2015", "pdf": ["http://www.eng.tau.ac.il/~oron/TWD/RT_TWD_MVAP_2015.pdf"], "doi": ["http://doi.org/10.1007/s00138-015-0676-z"]}, {"id": "4c39000bbd6761dd9e5609fe310af51facb835a9", "title": "Kinects and human kinetics : A new approach for studying pedestrian behavior", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c39/000bbd6761dd9e5609fe310af51facb835a9.pdf"], "doi": []}, {"id": "092a4a0f16287c26dcc833958b87b32346546c8b", "title": "Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed Traffic", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02364.pdf"], "doi": []}, {"id": "1f55079a33023518748d66869e7c539994c61c86", "title": "Object tracking techniques and performance measures \u2014 A conceptual survey", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8392127"]}, {"id": "344f647463ef160956143ebc8ce370cca144961a", "title": "Confidence-Aware Probability Hypothesis Density Filter for Visual Multi-Object Tracking", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/344f/647463ef160956143ebc8ce370cca144961a.pdf"], "doi": []}, {"id": "bd8ff0bf1c6ae27789cefebe2f55dac25ce6f1c8", "title": "Online multi-person tracking using Integral Channel Features", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738059", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738059", "http://doi.org/10.1109/AVSS.2016.7738059"]}, {"id": "9edd7c738171b0f36b65ae771711c38ed1dc38ad", "title": "Long-Term Multi-Cue Tracking of Hands in Vehicles", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Rangesh_T_ITS_2016.pdf", "http://cvrr.ucsd.edu/publications/2016/Rangesh_HandTrack.pdf", "https://eshed1.github.io/papers/Rangesh_T_ITS_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7416648", "http://doi.org/10.1109/TITS.2015.2508722"]}, {"id": "dcaceb925cc523b33c32f92255094f70150e92d3", "title": "Robust tracking of dynamic objects in LIDAR point clouds", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dcac/eb925cc523b33c32f92255094f70150e92d3.pdf"], "doi": []}, {"id": "eebe513912302604fe0601b7e4e85203f69f3b1c", "title": "Online multi-object tracking by detection based on generative appearance models", "year": "2016", "pdf": ["http://www.polymtl.ca/litiv/doc/RiahiCVIU2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.07.012"]}, {"id": "6d0767ce00979afc26940456994970bb488d4b46", "title": "Online pedestrian tracking with multi-stage re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078505", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078505", "http://doi.org/10.1109/AVSS.2017.8078505"]}, {"id": "8db43d306a70e23e2a0e6eb2fda60f14b73f65d0", "title": "Multi-Commodity Network Flow for Tracking Multiple People", "year": "2013", "pdf": ["https://infoscience.epfl.ch/record/181551/files/top_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636296", "https://www.ncbi.nlm.nih.gov/pubmed/24144976"]}, {"id": "0f29710e54f714eeea5233628afc68c680d881bb", "title": "Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning", "year": "2014", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/fiaschi_14_tracking.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Fiaschi_Tracking_Indistinguishable_Translucent_2014_CVPR_paper.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/219478572/fiaschi_14_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909746", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.356", "http://doi.org/10.1109/CVPR.2014.356"]}, {"id": "9b9f921646571ede31671ccfb6763d96c22642c2", "title": "A taxonomy of situated language in natural contexts", "year": "2011", "pdf": [], "doi": []}, {"id": "b183914d0b16647a41f0bfd4af64bf94a83a2b14", "title": "Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis", "year": "2014", "pdf": ["http://iwinlab.eng.usf.edu/papers/Extensible%20video%20surveillance%20software%20with%20simultaneous%20event%20detection%20for%20low%20and%20high%20density%20crowd%20analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069590"]}, {"id": "b3e6e4bed1b5f73aa114d19dcab214661a1d0cd6", "title": "Cooperative passers-by tracking with a mobile robot and external cameras", "year": "2013", "pdf": ["http://homepages.laas.fr/lerasle/pdf/cviu13.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.12.004"]}, {"id": "ad8e7c9bf20a0507acb90b17574da631b3d8b7cd", "title": "Temporal Dynamic Appearance Modeling for Online Multi-Person Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.02906.pdf"], "doi": []}, {"id": "3481a544e28cfc14108b0785eef7c12747e622ee", "title": "Online Multi-object Tracking via Structural Constraint Event Aggregation", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr16_mot.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201703210652/Online%20Multi-Object%20Tracking%20via%20Structural%20Constraint%20Event%20Aggregation.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yoon_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780524", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.155", "http://doi.org/10.1109/CVPR.2016.155"]}, {"id": "d04d53038d4267cf25badc5d6acccd2fc910a8a7", "title": "Online Multi-Object Tracking with Structural Invariance Constraint", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d04d/53038d4267cf25badc5d6acccd2fc910a8a7.pdf"], "doi": []}, {"id": "76056730a78d286d1d636f7d6239ec510a1a346f", "title": "Tracking via Blocking in Millimeter Wave Communication Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8422674", "http://doi.org/10.1109/ICC.2018.8422674"]}, {"id": "016860404c0926dda53b9bf4745f3eb9708fa1d2", "title": "Iterative hypothesis testing for multi-object tracking in presence of features with variable reliability", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.00313.pdf"], "doi": []}, {"id": "27b2f28fca10afaa046ae3821685d05a267287cf", "title": "Recurrent Metric Networks and Batch Multiple Hypothesis for Multi-Object Tracking", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8584998"]}, {"id": "0aaf9868487c1d2ca4c73aaa5f3530df6ee431d3", "title": "Tracking the 3D position and orientation of flying swarms with learned kinematic pattern using LSTM network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019406", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019406", "http://doi.org/10.1109/ICME.2017.8019406"]}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"], "doi": []}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "5d8ab5c473eb9e083ceb35ebeb00a062114ee6ac", "title": "A Reinforcement Learning Approach to Target Tracking in a Camera Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10336.pdf"], "doi": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "e278218ba1ff1b85d06680e99b08e817d0962dab", "title": "Tracking Persons-of-Interest via Unsupervised Representation Adaptation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02139.pdf"], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "36bccfb2ad847096bc76777e544f305813cd8f5b", "title": "WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1562-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Chavdarova_WILDTRACK_A_Multi-Camera_CVPR_2018_paper.pdf", "http://www.idiap.ch/~fleuret/papers/chavdarova-et-al-cvpr2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578626", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00528", "http://doi.org/10.1109/CVPR.2018.00528"]}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "e746447afc4898713a0bcf2bb560286eb4d20019", "title": "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02074.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "317f5a56519df95884cce81cfba180ee3adaf5a5", "title": "Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07295.pdf"], "doi": []}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "e42e7735f94a8f498ef0bf790ab43a668f904848", "title": "Low-Latency Detec on and Tracking of Aircra in Very High-Resolu on Video Feeds", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e42e/7735f94a8f498ef0bf790ab43a668f904848.pdf"], "doi": []}, {"id": "9812542cae5a470ea601e7c3a871331694105093", "title": "Person Re-identification by Deep Learning Attribute-Complementary Information", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014920", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.186", "http://doi.org/10.1109/CVPRW.2017.186"]}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"id": "b90b462619ba03fd3de0fd01b6c293185f4ba71d", "title": "Learning from Demonstration in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03516.pdf"], "doi": []}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "title": "Human tracking over camera networks: a review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/39df/6ca15f41e5a674ed8cd1654e699dbc8b8c11.pdf"], "doi": []}, {"id": "834ff8e06ed3f01c10958a276f1526fce7ffd387", "title": "Automatic Adaptation of Person Association for Multiview Tracking in Group Activities", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08717.pdf"], "doi": []}, {"id": "6cde93a5288e84671a7bee98cf6c94037f42da42", "title": "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578208"]}, {"id": "6438a73bade949bd2858ec0e25de52b59be1fdb9", "title": "Re-identification for Online Person Tracking by Modeling Space-Time Continuum", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w29/Narayan_Re-Identification_for_Online_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00193", "http://doi.org/10.1109/CVPRW.2018.00193"]}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "fde900199b2aa6d8a5364342885bdb2f5f7073c2", "title": "Deep Structured Prediction: A New Formulation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396970", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00014", "http://doi.org/10.1109/MIPR.2018.00014"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "96330777eb14dd6bc31d61b0d7f276083a04e34f", "title": "Real-time Implementation of YOLO+JPDA for Small Scale UAV Multiple Object Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8453398"]}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "5645f567d83bacf318c9b8c4adb5e508b713e466", "title": "Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": [], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "cb68c60ac046a0ec1c7f67487f14b999037313e1", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "4e12080616da4b540c8f79db2dd1b654cd8345ce", "title": "Pose-Driven Deep Models for Person Re-Identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "d2b86b6dc93631990e21a12278e77f002fb4b116", "title": "Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b8/6b6dc93631990e21a12278e77f002fb4b116.pdf"], "doi": []}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "title": "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11334.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "8abe89ab85250fd7a8117da32bc339a71c67dc21", "title": "Multi-camera Multi-Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07065.pdf"], "doi": []}, {"id": "d23d747e9936299b177b0358ff0502a884276aa2", "title": "Wide Area Tracking in Single and Multiple Views", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/4ceb/1a82fdf5739671c96be34458f51aad52ee17.pdf"], "doi": []}, {"id": "49b30c39730aeaff5904f89ab5a020086e990e2d", "title": "Multi-object detection and tracking by stereo vision", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Ling_Cai6/publication/223411112_Multi-object_detection_and_tracking_by_stereo_vision/links/54c4acef0cf219bbe4ef4054.pdf", "https://pdfs.semanticscholar.org/49b3/0c39730aeaff5904f89ab5a020086e990e2d.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2010.06.012"]}, {"id": "3c68834951564fdc2ace1dcd5bf7d1317a22a176", "title": "Multi-target tracking by on-line learned discriminative appearance models", "year": "2010", "pdf": ["http://iris.usc.edu/Outlines/papers/2010/kuo-huang-nevatia-cvpr10.pdf", "http://iris.usc.edu/people/chenghak/download/Kuo_Huang_Nevatia_CVPR2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540148", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2010.5540148", "http://doi.org/10.1109/CVPR.2010.5540148"]}, {"id": "a71a19903cd3e7c4c7bd9ad4e4586bf8ae9cbc4e", "title": "Distributed system for multiple camera tracking", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6012114", "http://doi.ieeecomputersociety.org/10.1109/ICME.2011.6012114", "http://doi.org/10.1109/ICME.2011.6012114"]}, {"id": "2c29b082d8e6b90be8cad73a7514ad6e2897923e", "title": "Robust multi-human tracking by detection update using reliable temporal information", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/47332/47332.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295108", "http://doi.org/10.5220/0004733203870396"]}, {"id": "80d9d4b5d7af67721212c0e9a89efb7f69671a5c", "title": "People detection and tracking using a network of low-cost depth cameras", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/80d9/d4b5d7af67721212c0e9a89efb7f69671a5c.pdf"], "doi": []}, {"id": "d83c5c0fa648de9ea0f8f6f92ce2096d5fa04808", "title": "Multi-appearance segmentation and extended 0-1 programming for dense small object tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.05116.pdf"], "doi": []}, {"id": "5a8a1c7bd50778bd7844704a6fe50d75186f1122", "title": "Efficient Training of Multiple Ant Tracking", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045877", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.23", "http://doi.org/10.1109/WACV.2015.23"]}, {"id": "4f2ffeb4bac11b7df692f08002f207993f479c51", "title": "Multiple Target Tracking by Learning-Based Hierarchical Association of Detection Responses", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6256670", "http://doi.org/10.1109/TPAMI.2012.159", "https://www.ncbi.nlm.nih.gov/pubmed/23428432", "https://www.wikidata.org/entity/Q48736153"]}, {"id": "b03343b99d15e752e7c46eef04308ba496555c89", "title": "Expert video-surveillance system for real-time detection of suspicious behaviors in shopping malls", "year": "2015", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/42602.pdf", "http://www.robesafe.com/personal/roberto.arroyo/docs/Arroyo15eswa.pdf", "https://www.researchgate.net/profile/Roberto_Arroyo2/publication/279057771_Expert_Video-Surveillance_System_for_Real-Time_Detection_of_Suspicious_Behaviors_in_Shopping_Malls/links/56e6aa0908ae98445c224cd3.pdf?origin=publication_list"], "doi": ["http://doi.org/10.1016/j.eswa.2015.06.016"]}, {"id": "1f614a97e16671c091b1bcd1a33e1280822b53db", "title": "Tracking People's Hands and Feet Using Mixed Network AND/OR Search", "year": "2013", "pdf": ["http://www.umiacs.umd.edu/~morariu/publications/MorariuHandfootPAMI12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6291723", "http://doi.org/10.1109/TPAMI.2012.187", "https://www.ncbi.nlm.nih.gov/pubmed/23520262", "https://www.wikidata.org/entity/Q43446401"]}, {"id": "21f59ece2dfe0181a3c4763318fcae254e80b7db", "title": "Human Object Tracking in Video Sequences", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/21f5/9ece2dfe0181a3c4763318fcae254e80b7db.pdf"], "doi": []}, {"id": "0bbd0060e79c5370c6d07bef7b5830e8732e7c1b", "title": "Automatic tracker selection w.r.t object detection performance", "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.2005.pdf"], "doi": []}, {"id": "066000d44d6691d27202896691f08b27117918b9", "title": "Vision-Based Analysis of Small Groups in Pedestrian Crowds", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989835"]}, {"id": "8b4b0734555e446888f05c25ea330c6c53ddf307", "title": "An Online LC-KSVD Based Dictionary Learning for Multi-target Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7816792"]}, {"id": "c4530262874ee564932ddadf9e5208e66b6efa29", "title": "Tracking undulatory body motion of multiple fish based on midline dynamics modeling", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7553004", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7553004", "http://doi.org/10.1109/ICME.2016.7553004"]}, {"id": "133900a0e7450979c9491951a5f1c2a403a180f0", "title": "Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video", "year": "2016", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/socgroup.pdf", "https://cloudfront.escholarship.org/dist/prd/content/qt7wb390mc/qt7wb390mc.pdf?t=p7p846"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346504", "http://doi.org/10.1109/TPAMI.2015.2505292", "https://www.ncbi.nlm.nih.gov/pubmed/26660698", "https://www.wikidata.org/entity/Q48638370"]}, {"id": "2390f14bf3b52418953ac0d334047e92b5157c1d", "title": "Data association based ant tracking with interactive error correction", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836003", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836003", "http://doi.org/10.1109/WACV.2014.6836003"]}, {"id": "dc94db59fddedb3fc6ae5317ad719808bb5482f2", "title": "Humanitarian Logistics and Cultural Diversity within Crowd Simulation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dc94/db59fddedb3fc6ae5317ad719808bb5482f2.pdf"], "doi": []}, {"id": "23a6b0edc8e6ad88a3d68419880665c193893e3c", "title": "Computer Vision in Sports", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-09396-3"]}, {"id": "1927d86d26a1afdd4bb988b26ba89a8589675473", "title": "Traffic analysis using discrete wavelet transform and Bayesian regression", "year": "2013", "pdf": ["http://iosrjournals.org/iosr-jece/papers/wicomet-volume1/G.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6726633"]}, {"id": "760acfa418e26c5fc03471899040404773e38799", "title": "Multi-person tracking-by-detection with local particle filtering and global occlusion handling", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890149", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890149", "http://doi.org/10.1109/ICME.2014.6890149"]}, {"id": "00c86c21c2a842233b381d141cdaff12ef3590fd", "title": "Content-Based Retrieval of Functional Objects in Video Using Scene Context", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/ea9a/d5d028873533d3cfb7fa9e40a6e39e0fa803.pdf"], "doi": []}, {"id": "8e64f7f38db57ddc197cc7a9c51b914920ee99cc", "title": "AN OPTIMIZED FRAMEWORK FOR DETECTION AND TRACKING", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e64/f7f38db57ddc197cc7a9c51b914920ee99cc.pdf"], "doi": []}, {"id": "7d8b467a524bfd4d65d6e9481dd56a1fb381723a", "title": "Research on Robust Local Feature Extraction Method for Human Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/7d8b/467a524bfd4d65d6e9481dd56a1fb381723a.pdf"], "doi": []}, {"id": "d008e8662b7e482b88e6dee7c50bd939d28e7628", "title": "People detection, tracking and re-identification through a video camera network. (D\u00e9tection, suivi et r\u00e9-identification de personnes \u00e0 travers un r\u00e9seau de cam\u00e9ra vid\u00e9o)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d008/e8662b7e482b88e6dee7c50bd939d28e7628.pdf"], "doi": []}, {"id": "0bd7a9de611ff444be27a3a174364a5146161af0", "title": "Individual 3d face modeling and recognition in a video network", "year": "2012", "pdf": [], "doi": []}, {"id": "64c78c8bf779a27e819fd9d5dba91247ab5a902b", "title": "Tracking with multi-level features.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07304.pdf"], "doi": []}, {"id": "95704293fcaa01473e5c0b389d8afdcc0178d8c7", "title": "Accurate Human Detection by Appearance and Motion", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/cb19/8e43fdaaf1df73a6af120f246f746019967a.pdf"], "doi": []}, {"id": "86e040f940f4b6399aaf41eb3f86b3cb948ee7dc", "title": "Tracklet association based multi-target tracking", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3238-5"]}, {"id": "4fe32724ef0dc683078099199fb7c2bbf1a24b38", "title": "Video Monitoring System: Counting People by Tracking", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6169871", "http://doi.org/10.1109/rivf.2012.6169871"]}, {"id": "18e7d5fe57fd0f660abad7c68bf6b366a975652a", "title": "Multiple Insect Tracking with Occlusion Sub-tunnels", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045944", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.90", "http://doi.org/10.1109/WACV.2015.90"]}, {"id": "16fdc3829dc8322a26eac46e93703000005f3d6d", "title": "An occlusion reasoning scheme for monocular pedestrian tracking in dynamic scenes", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.06129.pdf"], "doi": []}, {"id": "3fd5a28ea052ad176f32464e594f49c6a387e984", "title": "Counting Vehicles in Highway Surveillance Videos", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597904", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.886", "http://doi.org/10.1109/ICPR.2010.886"]}, {"id": "6506e45c15cf24d9cbf3d694994195ef56063a80", "title": "Dynamic and Robust Object Tracking for Activity Recognition. (Suivi dynamique et robuste d'objets pour la reconnaissance d'activit\u00e9s)", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/6506/e45c15cf24d9cbf3d694994195ef56063a80.pdf"], "doi": []}, {"id": "5fea385735997c7e826c7a389084cdba5d6e0928", "title": "An online learned CRF model for multi-target tracking", "year": "2012", "pdf": ["http://home.iitk.ac.in/~rishabh/cs676/pres1.pdf", "http://iris.usc.edu/Outlines/papers/2012/yang-nevatia-cvpr-2-2012.pdf", "http://iris.usc.edu/people/yangbo/papers/CVPR12_2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247907", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247907", "http://doi.org/10.1109/CVPR.2012.6247907"]}, {"id": "d0369a51eaae3723cfe290fd666f2d6be97fd7c7", "title": "Action recognition via bio-inspired features: The richness of center-surround interaction", "year": "2012", "pdf": ["http://www-sop.inria.fr/members/Pierre.Kornprobst/journal/2012-escobar-cviu.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.01.002"]}, {"id": "c32f798663bd00268e3ceb8a855222dae877a58a", "title": "Anomaly detection from videos under sparse data and partial observations \u2217", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c32f/798663bd00268e3ceb8a855222dae877a58a.pdf"], "doi": []}, {"id": "7fb143927b616726f065a55b4455b822b4cc8d86", "title": "Structured Learning for Cell Tracking", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9423/feb0375f9ae19f8796718ec117e9b4afaf1a.pdf"], "doi": []}, {"id": "65a641203ebbed46a3db1993bd360713c51d9156", "title": "Semisupervised Pedestrian Counting With Temporal and Spatial Consistencies", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7000571", "http://doi.org/10.1109/TITS.2014.2371333"]}, {"id": "09cf3d036f84b6b3ac5244a2ecf8ac74f69de5d3", "title": "Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance", "year": "2012", "pdf": ["https://arxiv.org/pdf/1502.00377.pdf"], "doi": []}, {"id": "3db123d094c7ba33bbd3c4ccbea77e2093ad6174", "title": "Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06011.pdf"], "doi": []}, {"id": "b4ee2a6b5fdf66f57e94a998cff2acef4af7d256", "title": "Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes", "year": "2013", "pdf": ["https://www.d2.mpi-inf.mpg.de/sites/default/files/wojek2013pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6265058", "http://doi.org/10.1109/TPAMI.2012.174", "https://www.ncbi.nlm.nih.gov/pubmed/22889818", "https://www.wikidata.org/entity/Q45823527"]}, {"id": "2dc8364433bde6041f38792cd01a6e80a55b1471", "title": "Multi-target tracking by discriminative analysis on Riemannian manifold", "year": "2012", "pdf": ["http://www-sop.inria.fr/members/Duc-Phu.Chau/data_tmp/paperICIP2012.pdf", "http://www-sop.inria.fr/members/Francois.Bremond/Postscript/ICIP12-Slawek.pdf", "http://www.demcare.eu/downloads/Multi_target_tracking_by_discriminative_analysis_on_Riemannian_manifold.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6467182", "http://doi.org/10.1109/ICIP.2012.6467182"]}, {"id": "29ade322a7d4a88da0b451d8ff814193991fb4fc", "title": "Real-time reliability measure-driven multi-hypothesis tracking using 2D and 3D features", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/29ad/e322a7d4a88da0b451d8ff814193991fb4fc.pdf"], "doi": []}, {"id": "44e3d382ce8d765f705706d40716cb81575281e8", "title": "Automatic Parameter Adaptation for Multi-object Tracking", "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2687.pdf"], "doi": []}, {"id": "f75e27051d83775f51565b9f700eb03bc1960d42", "title": "Hierarchical framework for robust and fast multiple-target tracking in surveillance scenarios", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2012.08.025"]}, {"id": "0a5c6b73ff2a27ec7c3bddca757643fa11f035ee", "title": "Learning affinities and dependencies for multi-target tracking using a CRF model", "year": "2011", "pdf": ["http://iris.usc.edu/Outlines/papers/2011/yang-huang-nevatia-cvpr11.pdf", "http://iris.usc.edu/people/yangbo/papers/CVPR11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995587", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995587", "http://doi.org/10.1109/CVPR.2011.5995587"]}, {"id": "af6a160f6e2568cb7dc9c72c1b4af1e5656bf557", "title": "A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14363/1/Wu17.pdf", "https://repository.kaust.edu.sa/bitstream/handle/10754/621254/10.1016-j.patcog.2016.10.022.pdf?isAllowed=y&sequence=1", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2016b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.022"]}, {"id": "3099615de73bb1d6442ce29dc9959ddb91cfc282", "title": "Detecting and Tracking Sports Players with Random Forests and Context-Conditioned Motion Models", "year": "2014", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150330043529/Detecting-and-Tracking-Sports-Players-with-Random-Forests-and-Context-Conditioned-Motion-Models-Paper.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-09396-3_6"]}, {"id": "88b57bdbab36d4912212a9b93299427defda8400", "title": "Optimal feature points for tracking multiple moving objects in active camera model", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2823-y"]}, {"id": "a1edc13e5c2517b57d432f4a6c6b693152e8c4bb", "title": "Context tracker: Exploring supporters and distracters in unconstrained environments", "year": "2011", "pdf": ["http://iris.usc.edu/Outlines/papers/2011/dinh-vo-medioni-cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995733", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995733", "http://doi.org/10.1109/CVPR.2011.5995733"]}, {"id": "c31f7fa9d050c8a7181fc3407313f1fddd06de8c", "title": "Multiple-Human Tracking by Iterative Data Association and Detection Update", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6750747", "http://doi.org/10.1109/TITS.2014.2303196"]}, {"id": "d9433ba8bc58a94dffbfebe85e1aca1b6229d6c4", "title": "Audio\u2010Visual Speaker Tracking", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d943/3ba8bc58a94dffbfebe85e1aca1b6229d6c4.pdf"], "doi": []}, {"id": "e8d000296ef76d8477b3f2c9a61d08aab6247487", "title": "Learning to Track Multi-target Online by Boosting and Scene Layout", "year": "2013", "pdf": ["http://www6.in.tum.de/Main/Publications/guangICMLA2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6784611", "http://doi.org/10.1109/ICMLA.2013.41"]}, {"id": "e53d4731b7c55dac6d70df4e068b79216bf1614d", "title": "Ant tracking with occlusion tunnels", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836002", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836002", "http://doi.org/10.1109/WACV.2014.6836002"]}, {"id": "15686988df40f5ec8475471ca14a6406aec4c85b", "title": "High-order framewise smoothness-constrained globally-optimal tracking", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2016.05.012"]}, {"id": "66f533bc88329decafc5ff171db0db2beca3446e", "title": "Tracklet association for object tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7530963"]}, {"id": "0cca85ee872ae6f6a4d305880b4461f152b1d808", "title": "Automatic framework for tracking honeybee's antennae and mouthparts from low framerate video", "year": "2013", "pdf": ["http://kops.uni-konstanz.de/bitstream/handle/123456789/26119/Shen_261195.pdf?isAllowed=y&sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738847", "http://doi.org/10.1109/ICIP.2013.6738847"]}, {"id": "066454772e51df9142e99bfed1d83eae1c755ed1", "title": "Multi-Target Tracking by Online Learning a CRF Model of Appearance and Motion Patterns", "year": "2013", "pdf": ["http://iris.usc.edu/people/yangbo/papers/IJCV14.pdf", "http://www.tpbin.com/Uploads/Subjects/eb7f030c-5f7c-48f4-8a32-70ed9951bfe3.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0666-4"]}, {"id": "2049ca79ce94ddfe0cc3d39bf770f580a740f3ac", "title": "Activity analysis : finding explanations for sets of events", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/2049/ca79ce94ddfe0cc3d39bf770f580a740f3ac.pdf"], "doi": []}, {"id": "4ebe60a33905a1e8c3e8b961ecbf2a5ddac0bc18", "title": "Learning Discriminative Appearance Models for Online Multi-Object Tracking With Appearance Discriminability Measures", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8528315", "http://doi.org/10.1109/ACCESS.2018.2879535"]}, {"id": "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "title": "Transductive People Tracking in Unconstrained Surveillance", "year": "2016", "pdf": ["http://imagelab.ing.unimore.it/Pubblicazioni/pubblicazioni/2015TCSVT.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7067436", "http://doi.org/10.1109/TCSVT.2015.2416555"]}, {"id": "3d3fb9e6e591a39a74665ae6e4d5ed842596d3f2", "title": "Detection Based Low Frame Rate Human Tracking", "year": "2010", "pdf": ["http://hub.hku.hk/bitstream/10722/137721/1/Content.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597432", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.861", "http://doi.org/10.1109/ICPR.2010.861"]}, {"id": "bf9f26780d7207c8845d7787b6003a8df161afb8", "title": "Counting People With Low-Level Features and Bayesian Regression", "year": "2012", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/journal/tip12-pedcount.pdf", "http://www.cse.psu.edu/~rtc12/CSE586/papers/regr_ChanTIPjournal.pdf", "http://www.svcl.ucsd.edu/publications/journal/2011/peoplecount/tip_achan.pdf", "http://www.svcl.ucsd.edu/publications/journal/2012/peoplecount/TIP-2012.pdf", "http://www.svcl.ucsd.edu/publications/journal/2012/peoplecount/tip_achan.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6054049", "http://doi.org/10.1109/TIP.2011.2172800", "https://www.ncbi.nlm.nih.gov/pubmed/22020684", "https://www.wikidata.org/entity/Q50670897"]}, {"id": "46888c67aa5351730ce5022cc800239f6557f254", "title": "Online Multi-target Visual Tracking using a HISP Filter", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4688/8c67aa5351730ce5022cc800239f6557f254.pdf"], "doi": []}, {"id": "5e91464e4d9f61c0c6038447d76e14eed6758a6e", "title": "Thermal Sensor-Based Multiple Object Tracking for Intelligent Livestock Breeding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8114167", "http://doi.org/10.1109/ACCESS.2017.2775040"]}, {"id": "fa43899928dc3ea398fb8542917c04abc5158724", "title": "Detection and Association Based Multi-target Tracking in Surveillance Video", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153918", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2015.19", "http://doi.org/10.1109/BigMM.2015.19"]}, {"id": "0a20e2fbe52efdb794b7566ce5233c41f4c5efc9", "title": "Monocular Visual Scene Understanding from Mobile Platforms", "year": "2010", "pdf": ["http://tuprints.ulb.tu-darmstadt.de/2237/1/Christian_Wojek_PhD_Thesis.pdf"], "doi": ["http://d-nb.info/1006538224"]}, {"id": "7b607888d3a9952e0553874ea77fa1ad4f6ba2ad", "title": "Online multiple object tracking by hierarchical association of detection responses", "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2095729"]}, {"id": "7e53ab07d0ce28484830329036a1fc018b9644dd", "title": "Online multiple people tracking-by-detection in crowded scenes", "year": "2014", "pdf": ["http://jacet.srbiau.ac.ir/pdf_6708_d824303654a6fd0f7d67304a2e93c7b3.html"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7000725", "http://doi.org/10.1109/ISTEL.2014.7000725"]}, {"id": "434627a03d4433b0df03058724524c3ac1c07478", "title": "Online Multi-Target Tracking With Unified Handling of Complex Scenarios", "year": "2015", "pdf": ["http://jianghz.com/pubs/mtt_tip_final.pdf", "http://people.cs.umass.edu/~hzjiang/pubs/mtt_tip_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7124485", "http://doi.org/10.1109/TIP.2015.2446331", "https://www.ncbi.nlm.nih.gov/pubmed/26087489", "https://www.wikidata.org/entity/Q40823197"]}, {"id": "98220d35ae6a3ba745f7dea1434f000ca60c62c0", "title": "Multi-object Tracking using Particle Swarm Optimization on Target Interactions", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9822/0d35ae6a3ba745f7dea1434f000ca60c62c0.pdf"], "doi": []}, {"id": "1a2b5b52e4b378a4b8b6f5adfc4a8d5d161ab012", "title": "A Prior-Less Method for Multi-face Tracking in Unconstrained Videos", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/3502-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_A_Prior-Less_Method_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578161", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00063", "http://doi.org/10.1109/CVPR.2018.00063"]}, {"id": "7c65bbde13b4dfb8381ff72f7734c9196ba5d721", "title": "A blob representation for tracking robust to merging and fragmentation", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6163020", "http://doi.ieeecomputersociety.org/10.1109/WACV.2012.6163020", "http://doi.org/10.1109/WACV.2012.6163020"]}, {"id": "537639f670c675d625783ca08fe997449cbb4f9c", "title": "Multi-target tracking using long-term stochastic associations", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/a18d/bc1b840cea869e9570bc7c16e8ac10897e24.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5651303", "http://doi.org/10.1109/ICIP.2010.5651303"]}, {"id": "f0cc615b14c97482faa9c47eb855303c71ff03a7", "title": "Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0cc/615b14c97482faa9c47eb855303c71ff03a7.pdf"], "doi": []}, {"id": "e2efecac66fec3890b7ffeaa54ee1c6400f9029e", "title": "Pattern Recognition", "year": "2014", "pdf": ["http://www.fil.ion.ucl.ac.uk/~john/misc/ISBI2015/ISBI_I.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-11752-2"]}, {"id": "05d5fa704527ee6f0a9eef2b9a03276b83378ca7", "title": "Pairwise Threshold for Gaussian Mixture Classification and Its Application on Human Tracking Enhancement", "year": "2012", "pdf": ["http://iris.usc.edu/Outlines/papers/2012/kim_lee_avss12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328043", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.53", "http://doi.org/10.1109/AVSS.2012.53"]}, {"id": "b58e71a3336193bed5785b2818a4fec85dd5f5ff", "title": "Object Detection and Tracking for Autonomous Navigation in Dynamic Environments", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/b58e/71a3336193bed5785b2818a4fec85dd5f5ff.pdf"], "doi": []}, {"id": "407e4b401395682b15c431347ec9b0f88ceec04b", "title": "Multi-target tracking by learning local-to-global trajectory models", "year": "2015", "pdf": ["http://www.researchgate.net/profile/Shun_Zhang5/publication/265295656_Multi-Target_Tracking_by_Learning_Local-to-Global_Trajectory_Models/links/5434b49d0cf294006f736811.pdf", "https://pdfs.semanticscholar.org/407e/4b401395682b15c431347ec9b0f88ceec04b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.08.013"]}, {"id": "ac611487ad19e0ff182890ed567c449bfaabd0f4", "title": "Beyond Pedestrians: A Hybrid Approach of Tracking Multiple Articulating Humans", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045879", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.25", "http://doi.org/10.1109/WACV.2015.25"]}, {"id": "457d3ca924afc21719d19175caf285aa575d1c90", "title": "Analyzing Structured Scenarios by Tracking People and Their Limbs", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/457d/3ca924afc21719d19175caf285aa575d1c90.pdf"], "doi": []}, {"id": "152bac3db84632dcf3d8d9d49fb11d7df9f040bf", "title": "Tracking by Planning", "year": "2011", "pdf": [], "doi": []}, {"id": "241709c37d2a91b79352f1e77f0881f5de709795", "title": "Multi-gait identification based on multilinear analysis and multi-target tracking", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2585-6"]}, {"id": "a921dbe7659e4a75c1ac53f5bdc1fcdc6caa5933", "title": "Title Detection based low frame rate human tracking", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/a921/dbe7659e4a75c1ac53f5bdc1fcdc6caa5933.pdf"], "doi": []}, {"id": "6581c5b17db7006f4cc3575d04bfc6546854a785", "title": "Contextual Person Identification in Multimedia Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6581/c5b17db7006f4cc3575d04bfc6546854a785.pdf"], "doi": []}, {"id": "69c5fbc040f3ad70f396ec468bf1d725bb13531d", "title": "Online parameter tuning for object tracking algorithms", "year": "2014", "pdf": ["http://www-sop.inria.fr/members/Duc-Phu.Chau/data_tmp/phu_imavis12.pdf", "http://www-sop.inria.fr/members/Francois.Bremond/Postscript/phu_imavis12.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.003"]}, {"id": "47119c99f5aa1e47bbeb86de0f955e7c500e6a93", "title": "On pairwise costs for network flow multi-object tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1408.3304.pdf"], "doi": []}, {"id": "05a76887cc3f3dfad7f391bfeecc613d6c611b17", "title": "Robust Human Tracking to Occlusion in Crowded Scenes", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371302", "http://doi.org/10.1109/DICTA.2015.7371302"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/pa_100k.json b/site/datasets/unknown/pa_100k.json index c8971902..f33c70f8 100644 --- a/site/datasets/unknown/pa_100k.json +++ b/site/datasets/unknown/pa_100k.json @@ -1 +1 @@ -{"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "citations": [{"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "3985dbf7616c7d2c6178eaa262389815f95290e6", "title": "Cross-View Learning", "year": "2018", "pdf": [], "doi": []}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.pdf"], "doi": []}, {"id": "449df573e41217c584e55e602428c2e3849b82e0", "title": "\u00dcretilmesi Generating Person Images Based on Attributes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/449d/f573e41217c584e55e602428c2e3849b82e0.pdf"], "doi": []}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "4a91be40e6b382c3ddf3385ac44062b2399336a8", "title": "Random Occlusion-recovery for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "7c25f32e78d0a9ae75825445daf51b064c3f58e9", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578144"]}, {"id": "a0cc5f73a37723a6dd465924143f1cb4976d0169", "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578114"]}, {"id": "c83a0e82240c87a5357ae1683fee96237cc16693", "title": "Binary Artificial Immune Algorithm for Adaptive Visual Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8464667"]}, {"id": "65da5a05fa6b49e8aa11b4acce965a0f439c1716", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "b2c52de097b4e903a1ed487ac8476971f3d52a34", "title": "3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.10222.pdf"], "doi": []}, {"id": "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "title": "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08115.pdf"], "doi": []}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468189", "http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "bce963c494ccce1c66757e69993f578c37564f6d", "title": "Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect?", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08097.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "54a0f303fba2b79868bfbf2941b23d970ab5ce0a", "title": "Generating person images based on attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404426"]}, {"id": "e8dc52f700f7aed02440b4b1441ff62213eff107", "title": "Scalable and Effective Deep CCA via Soft Decorrelation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578259"]}, {"id": "e82bb86cf6d128b3ed0edf8ceddf025964e419c2", "title": "Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e82b/b86cf6d128b3ed0edf8ceddf025964e419c2.pdf"], "doi": []}, {"id": "7a14a1d2a034bed7d3e8cb87eab2c92098ed1cb6", "title": "Implementing a Robust Explanatory Bias in a Person Re-identification Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575462"]}]}
\ No newline at end of file +{"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "citations": [{"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "3985dbf7616c7d2c6178eaa262389815f95290e6", "title": "Cross-View Learning", "year": "2018", "pdf": [], "doi": []}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.pdf"], "doi": []}, {"id": "449df573e41217c584e55e602428c2e3849b82e0", "title": "\u00dcretilmesi Generating Person Images Based on Attributes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/449d/f573e41217c584e55e602428c2e3849b82e0.pdf"], "doi": []}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "4a91be40e6b382c3ddf3385ac44062b2399336a8", "title": "Random Occlusion-recovery for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "7c25f32e78d0a9ae75825445daf51b064c3f58e9", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578144"]}, {"id": "a0cc5f73a37723a6dd465924143f1cb4976d0169", "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578114"]}, {"id": "c83a0e82240c87a5357ae1683fee96237cc16693", "title": "Binary Artificial Immune Algorithm for Adaptive Visual Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8464667"]}, {"id": "65da5a05fa6b49e8aa11b4acce965a0f439c1716", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "b2c52de097b4e903a1ed487ac8476971f3d52a34", "title": "3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.10222.pdf"], "doi": []}, {"id": "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "title": "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08115.pdf"], "doi": []}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468189", "http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "bce963c494ccce1c66757e69993f578c37564f6d", "title": "Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect?", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08097.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "54a0f303fba2b79868bfbf2941b23d970ab5ce0a", "title": "Generating person images based on attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404426"]}, {"id": "e8dc52f700f7aed02440b4b1441ff62213eff107", "title": "Scalable and Effective Deep CCA via Soft Decorrelation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578259"]}, {"id": "e82bb86cf6d128b3ed0edf8ceddf025964e419c2", "title": "Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e82b/b86cf6d128b3ed0edf8ceddf025964e419c2.pdf"], "doi": []}, {"id": "7a14a1d2a034bed7d3e8cb87eab2c92098ed1cb6", "title": "Implementing a Robust Explanatory Bias in a Person Re-identification Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575462"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/prid.json b/site/datasets/unknown/prid.json index 4406e8fc..7ee7c721 100644 --- a/site/datasets/unknown/prid.json +++ b/site/datasets/unknown/prid.json @@ -1 +1 @@ -{"id": "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "citations": [{"id": "5bb14bba7510c590164007d7e3aa1bf88cb3faec", "title": "Learning to Match Appearances by Correlations in a Covariance Metric Space", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fa15/ccb62519750289706fee4eaaa13cad88aa28.pdf"], "doi": []}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "61470aaccabd195a361112d38d80d3779498f784", "title": "Stepwise Metric Promotion for Unsupervised Video Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Stepwise_Metric_Promotion_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237528", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.266", "http://doi.org/10.1109/ICCV.2017.266"]}, {"id": "ae299fad29ba650fbf1e14c7c95ba8ae32e095f0", "title": "Person Re-Identification by Robust Canonical Correlation Analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006657", "http://doi.org/10.1109/LSP.2015.2390222"]}, {"id": "bb3d634c5c021de7c2ba10b073c63171f7610c6c", "title": "Multi-shot Pedestrian Re-identification via Sequential Decision Making", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578807"]}, {"id": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"], "doi": []}, {"id": "9a9af8a5b6939a1da9936608fbf071f852eca7e1", "title": "Deep Part Features Learning by a Normalised Double-Margin-Based Contrastive Loss Function for Person Re-Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9a9a/f8a5b6939a1da9936608fbf071f852eca7e1.pdf"], "doi": []}, {"id": "88b02b654a0206e47979618ff95697f4cab7f6a1", "title": "Target re-identification based on adaptive incremental KISS measure learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s12293-016-0196-z"]}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "6ce6da7a6b2d55fac604d986595ba6979580393b", "title": "Cross Domain Knowledge Transfer for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06026.pdf"], "doi": []}, {"id": "afd29ac2de84c8a6d48232477be018ec57d6f564", "title": "Deep Metric Learning for Practical Person Re-Identification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4979.pdf"], "doi": []}, {"id": "5f1019f26479545a6f2f9c364b995579e283d2ce", "title": "Multi-shot Person Re-Identification Using Part Appearance Mixture", "year": "2017", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/furqanWACV17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926656", "http://doi.org/10.1109/WACV.2017.73"]}, {"id": "1a3bd11734742234ed8b12bf6221f2569b2a59db", "title": "Bagging based metric learning for person re-identification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890259", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890259", "http://doi.org/10.1109/ICME.2014.6890259"]}, {"id": "fef7fb6f3e239c346cd144960e27875889fdd650", "title": "One-Shot Metric Learning for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Bak_One-Shot_Metric_Learning_CVPR_2017_paper.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170713092653/One-Shot-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099654", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.171", "http://doi.org/10.1109/CVPR.2017.171"]}, {"id": "16e577820999e584c787ec611f55746cf9147518", "title": "Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs", "year": "2015", "pdf": ["http://www.cs.jhu.edu/~andyjhma/DAPRIDfinal.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7018030", "http://doi.org/10.1109/TIP.2015.2395715", "https://www.ncbi.nlm.nih.gov/pubmed/25622315", "https://www.wikidata.org/entity/Q41524881"]}, {"id": "c8654556a010a86b8eec681b290a1d06597c6202", "title": "Person re-identification based on multi-instance multi-label learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.04.060"]}, {"id": "a0cc5f73a37723a6dd465924143f1cb4976d0169", "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578114"]}, {"id": "101c5b39f4fc4dda1f39bf0c00e196f0a4720af2", "title": "Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features", "year": "2015", "pdf": ["http://vc.cs.nthu.edu.tw/home/paper/codfiles/yjchen/201410171439/06910272.pdf", "http://www.ecse.rpi.edu/~rjradke/papers/wu-pami14.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/wu-pami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910272", "http://doi.org/10.1109/TPAMI.2014.2360373", "https://www.ncbi.nlm.nih.gov/pubmed/26353331", "https://www.wikidata.org/entity/Q40558158"]}, {"id": "2f529605ed776d4fbeac2d73054247b495504ac7", "title": "Person Re-identification for Real-world Surveillance Systems", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05975.pdf"], "doi": []}, {"id": "71529e3e51f2967e338124652e93a3d34eb6c5e1", "title": "Deep triplet-group network by exploiting symmetric and asymmetric information for person reidentification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7152/9e3e51f2967e338124652e93a3d34eb6c5e1.pdf"], "doi": []}, {"id": "a0303a4d37e8264028808661050c4443b6b880de", "title": "Robust Video Object Tracking in Distributed Camera Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a030/3a4d37e8264028808661050c4443b6b880de.pdf"], "doi": []}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "356965584382b789e17d073edbfc096aed74d05b", "title": "Video-Based Person Re-Identification via Self Paced Weighting", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/aeb0/f4ffb57e40c93606458707622c0b37ea3790.pdf"], "doi": []}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468189", "http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "2f910e4a72a2fea67ea6c83f36c7017fe26ca9a8", "title": "On-the-fly feature importance mining for person re-identification", "year": "2014", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/pr_2014.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/LiuGongLoy_PR2013.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/6523/Gong%20On-the-fly%202014%20Accepted.pdf?sequence=2", "https://www.researchgate.net/profile/Chen_Change_Loy/publication/259507456_On-the-fly_feature_importance_mining_for_person_re-identification/links/02e7e52c8c8de43a49000000.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.11.001"]}, {"id": "069cadd9d8e52ad2715a3551012a06e506191626", "title": "Person re-identification using semantic color names and RankBoost", "year": "2013", "pdf": ["http://www.samehkhamis.com/kuo-wacv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475030", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475030", "http://doi.org/10.1109/WACV.2013.6475030"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "57c270a9f468f7129643852945cf3562cbb76e07", "title": "Multi-label convolutional neural network based pedestrian attribute classification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2016.07.004"]}, {"id": "5bb24d1250df62a56cab1445f1d8c5c61269b785", "title": "Measuring the Temporal Behavior of Real-World Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05499.pdf"], "doi": []}, {"id": "2603d8578a6c95a9b9d4cb8a73bc66f18d523f37", "title": "Deep Parts Similarity Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2603/d8578a6c95a9b9d4cb8a73bc66f18d523f37.pdf"], "doi": []}, {"id": "bf4780c028ba42bceb222bde11450672138602f5", "title": "Person re-identification based on CCN feature representations learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107776", "http://doi.org/10.1109/ICMLC.2017.8107776"]}, {"id": "1c0319d67707dd7dde76e47668e852e74692df30", "title": "Human Re-identification Through a Video Camera Network. (R\u00e9-identification de personne dans un r\u00e9seau de cameras vid\u00e9o)", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1c03/19d67707dd7dde76e47668e852e74692df30.pdf"], "doi": []}, {"id": "e989a827fa3b00941410364cd3507e4779bffb69", "title": "Person re-identification by the asymmetric triplet and identification loss function", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5182-z"]}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "e0027a30bef2d84d33eb3d0d62d9ca4806a53230", "title": "A Two Stream Siamese Convolutional Neural Network for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Chung_A_Two_Stream_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.218", "http://doi.org/10.1109/ICCV.2017.218"]}, {"id": "35e15c8aa2a3f017462a64b5ef940baf5993480f", "title": "Top-Push Video-Based Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.08683.pdf"], "doi": []}, {"id": "1f6dd0ff2e8493b81e3699b520193198d4eed4e6", "title": "Shaogang Gong Part I Features and Representations 1 Discriminative Image Descriptors for Person Re-identification . . . . . 25 7 One-shot Person Re-identification with a Consumer Depth Camera . 163 List of Contributors the Re-identification Challenge", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f6d/d0ff2e8493b81e3699b520193198d4eed4e6.pdf"], "doi": []}, {"id": "01381e2faeb26489ae9c24c84c42df33901cfe61", "title": "Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05165.pdf"], "doi": []}, {"id": "83c19722450e8f7dcb89dabb38265f19efafba27", "title": "A framework with updateable joint images re-ranking for Person Re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02983.pdf"], "doi": []}, {"id": "830fb48d04609bef50ae7f8f3513ce1b160894c9", "title": "Multi-Shot Human Re-Identification for the Security in Video Surveillance Systems", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8495936", "http://doi.ieeecomputersociety.org/10.1109/WETICE.2018.00046", "http://doi.org/10.1109/WETICE.2018.00046"]}, {"id": "ef7191fd43d120b77d3d367f8a6e11ae38ca5212", "title": "Person reidentification by semisupervised dictionary rectification learning with retraining module", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/60d7/5d32d345c519fa5c0d8d6b6eb62e633a8d13.pdf"], "doi": []}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "7c37f8213a33a07076ece47660ad681cb1b58d08", "title": "Adaptive Metric Learning for People Re-Identification", "year": "2014", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E97.D/11/E97.D_2013EDP7451/_pdf/-char/en"], "doi": ["https://doi.org/10.1587/transinf.2013EDP7451", "http://search.ieice.org/bin/summary.php?id=e97-d_11_2888"]}, {"id": "cd7c007f5831b294160eaf1cc6270af4a0ca9bf4", "title": "Person re-identification with block sparse recovery", "year": "2017", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-ivc16.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.11.015"]}, {"id": "31ab7bb7a1f84553f3a9bc975131f4ec95caaf61", "title": "Closed and Open-World Person Re-Identification and Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227416", "http://doi.org/10.1109/DICTA.2017.8227416"]}, {"id": "15cd9d3d455cb77948ec498bfa112bef7363c2e4", "title": "Transfer Learning of Spatio-Temporal Information Using 3D-CNN for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8616160"]}, {"id": "2594bf77a1fef68d86be74a2cb79c55499cb2bec", "title": "Learning Invariant Color Features for Person Reidentification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1410.1035.pdf"], "doi": []}, {"id": "9035dc898c10b203589699063908073b2f1d2e2a", "title": "POP: Person Re-identification Post-rank Optimisation", "year": "2013", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/iccv_2013_reid.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Liu_POP_Person_Re-identification_2013_ICCV_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/LiuEtAl_ICCV2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751164", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.62", "http://doi.org/10.1109/ICCV.2013.62"]}, {"id": "d75640108db01f7e0706780e6356a0c82c7eaf29", "title": "Multiple-Shot People Re-Identification by Patch-Wise Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d756/40108db01f7e0706780e6356a0c82c7eaf29.pdf"], "doi": []}, {"id": "a6f477f3c1cb2ab230fe8d89c31ae6af0b9c2346", "title": "Relevance Subject Machine: A Novel Person Re-identification Framework", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10645.pdf"], "doi": []}, {"id": "e10a257f1daf279e55f17f273a1b557141953ce2", "title": "A survey of approaches and trends in person re-identification", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-9.pdf", "http://romisatriawahono.net/lecture/rm/survey/computer%20vision/Gala%20-%20Person%20Reidentification%20-%202014.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.001"]}, {"id": "10114df7ddbb221337cc1e99e1de0eab8e47c95d", "title": "Evaluating Feature Importance for Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1011/4df7ddbb221337cc1e99e1de0eab8e47c95d.pdf"], "doi": []}, {"id": "616d3adb73ac0d8ba83d9ae4ed74c48e38e0f4e2", "title": "Unsupervised Surveillance Video Retrieval Based on Human Action and Appearance", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977505"]}, {"id": "60e065dbb795cc0d76ec187116eb87d1f42b5485", "title": "A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00637.pdf"], "doi": []}, {"id": "cb8567f074573a0d66d50e75b5a91df283ccd503", "title": "Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.05512.pdf"], "doi": []}, {"id": "b2efa9a9d996b396317e94d26add673bbf804bca", "title": "RGB-Infrared Cross-Modality Person Re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237837"]}, {"id": "b4a3f480e2004bdc8106de2f772283101bb290d0", "title": "Multi-stage ranking approach for fast person re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4a3/f480e2004bdc8106de2f772283101bb290d0.pdf"], "doi": []}, {"id": "a04caf5898d01972e28a38faed9a2eeae78cf21e", "title": "Dana36: A Multi-camera Image Dataset for Object Identification in Surveillance Scenarios", "year": "2012", "pdf": ["https://vision.fe.uni-lj.si/docs/danas/merged_avss.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6327986", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.33", "http://doi.org/10.1109/AVSS.2012.33"]}, {"id": "0a058caa89d195930224148d3d2897c0c08fc668", "title": "Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10591.pdf"], "doi": []}, {"id": "44fe6787f864812e666fbed8c18e18ad0eff190f", "title": "Long-Term Person Re-identification Using True Motion from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354164", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00060", "http://doi.org/10.1109/WACV.2018.00060"]}, {"id": "a23f55dacd3b2f3e61d6a30da49c307ed0102807", "title": "Unsupervised person re-identification via re-ranking enhanced sample-specific metric learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296914", "http://doi.org/10.1109/ICIP.2017.8296914"]}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "4f7821d28033be3757ad567e0c4e79a43e1b4a72", "title": "People re-identification across non-overlapping cameras using group features", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.06.011"]}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "2d6130f043e69849fc0443bb489c5d21f933eddd", "title": "Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01609.pdf"], "doi": []}, {"id": "e255ca660def135eb6ac99127d08df032876d8ab", "title": "Bidirectional ranking for person re-identification", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607577", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607577", "http://doi.org/10.1109/ICME.2013.6607577"]}, {"id": "734516f9eec8ec70ef924806fbc6f8093e94a0e8", "title": "Recurrent Convolutional Network for Video-Based Person Re-identification", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "http://pure.qub.ac.uk/portal/files/27151912/PID4180443.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734119,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780517", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.148", "http://doi.org/10.1109/CVPR.2016.148"]}, {"id": "36cbcd70af6f2fd3e700e0a710acd5f1f6abebcf", "title": "Matching People across Camera Views using Kernel Canonical Correlation Analysis", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659036"]}, {"id": "b38b621bd21813b33abb11ef2ffb51af3791b73a", "title": "Multi-Level Metric Learning via Smoothed Wasserstein Distance", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0405.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F405", "https://doi.org/10.24963/ijcai.2018/405"]}, {"id": "54c5e9cded7da1f9dc695f5397d9d1a5ac5350af", "title": "Person Re-identification Based on Color Histogram and Spatial Configuration of Dominant Color Regions", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.3410.pdf"], "doi": []}, {"id": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"], "doi": []}, {"id": "b5790f1bc586a77ff2cbea002b7ad2646e32af6b", "title": "Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Garcia_Person_Re-Identification_Ranking_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Garcia_Person_Re-Identification_Ranking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410511", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.154", "http://doi.org/10.1109/ICCV.2015.154"]}, {"id": "9ff961417d02f94d3e8a2accc591edd6f79cc21c", "title": "Asymmetric Projection and Dictionary Learning With Listwise and Identity Consistency Constraints for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8410867", "http://doi.org/10.1109/ACCESS.2018.2853259"]}, {"id": "dbec415ba09ab66ea5855aaa1267796b75ef7e7b", "title": "Person Re-identification in Appearance Impaired Scenarios", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00367.pdf"], "doi": []}, {"id": "6a90a2bf7f275b81596e0dacc78ad2991eac0311", "title": "Multiple View Oriented Matching Algorithm for People Reidentification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6834787", "http://doi.org/10.1109/TII.2014.2330976"]}, {"id": "bad7254ae08f8bf1305e70c7de28374f67f151fd", "title": "R\u00e9-identification de personnes \u00e0 partir des s\u00e9quences vid\u00e9o. (Person re-identification from video sequence)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bad7/254ae08f8bf1305e70c7de28374f67f151fd.pdf"], "doi": []}, {"id": "fcb64ef4421cebb80eb33f62c7726f339eb2bb62", "title": "Deep View-Aware Metric Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fcb6/4ef4421cebb80eb33f62c7726f339eb2bb62.pdf"], "doi": []}, {"id": "46638b810bf69023bca41db664b49bc935bcba3c", "title": "Unsupervised Salience Learning for Person Re-identification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d586.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhao_Unsupervised_Salience_Learning_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~rzhao/project/salience_cvpr13/zhaoOWcvpr13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619304", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.460", "http://doi.org/10.1109/CVPR.2013.460"]}, {"id": "32dc3e04dea2306ec34ca3f39db27a2b0a49e0a1", "title": "moM: Mean of Moments Feature for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w21/Gou_moM_Mean_of_ICCV_2017_paper.pdf", "http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/MengranGou_ICCVW17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265364", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.154", "http://doi.org/10.1109/ICCVW.2017.154"]}, {"id": "cf682939be6828d1a70161618024e02af660d1bb", "title": "Structured learning of metric ensembles with application to person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.08531.pdf"], "doi": []}, {"id": "f10f6c294130c76981f0e584af5811c44636eda5", "title": "The Re-identification Challenge", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/109c/7a377a1160ff36874829e3d0a47e08d7ea5e.pdf"], "doi": []}, {"id": "f31c9328b5b4678388c19a39064a8056313f7cf4", "title": "Two-Stream Multi-Rate Recurrent Neural Network for Video-Based Pedestrian Re-Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f31c/9328b5b4678388c19a39064a8056313f7cf4.pdf"], "doi": []}, {"id": "684c8acd49148020e9bf9c4f4aefc03708a6dac0", "title": "Video-Based Person Re-Identification With Accumulative Motion Context", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.00193.pdf"], "doi": []}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "441e7df66fe6052a6b770c3aeca4acd8dea98643", "title": "PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.06011.pdf"], "doi": []}, {"id": "6562c40932ea734f46e5068555fbf3a185a345de", "title": "Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.00409.pdf"], "doi": []}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "25f1a5121cb7fb67749a6f6dbc27fd48f177d5fb", "title": "Context-Aware Hypergraph Modeling for Re-identification and Summarization", "year": "2016", "pdf": ["http://vision.ece.ucsb.edu/sites/vision.ece.ucsb.edu/files/publications/07312467_0.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7312467", "http://doi.org/10.1109/TMM.2015.2496139"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "9b976f7bfa636d89510fe5ad7fb7a8057b86a57f", "title": "Feature encoding in band-limited distributed surveillance systems", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06423.pdf"], "doi": []}, {"id": "ee62cff7f027a31c3bd7f313bfdc04e7d79eb04a", "title": "Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhao_Spindle_Net_Person_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099586", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.103", "http://doi.org/10.1109/CVPR.2017.103"]}, {"id": "16f1a35d0149482d6b2b67df58b21b68622e6b9c", "title": "Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics", "year": "2016", "pdf": ["http://ijcai.org/Proceedings/16/Papers/501.pdf", "https://www.ijcai.org/Proceedings/16/Papers/501.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424182", "http://doi.org/10.1109/TIP.2018.2861366", "http://www.ijcai.org/Abstract/16/501", "https://www.ncbi.nlm.nih.gov/pubmed/30072322"]}, {"id": "b2c52de097b4e903a1ed487ac8476971f3d52a34", "title": "3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.10222.pdf"], "doi": []}, {"id": "7f8d4494aba2a2b11a88bf7de4b8879b047dd69b", "title": "Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578661", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00563", "http://doi.org/10.1109/CVPR.2018.00563"]}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "50f3209d022d1ac185237425a3ad682d2234c1ca", "title": "Boosting Fisher vector based scoring functions for person re-identification", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.008"]}, {"id": "51b1d708bdb758de8ce217c51992f794c70abe95", "title": "People silhouette extraction from people detection bounding boxes in images", "year": "2017", "pdf": ["http://www.christopheconiglio.com/RESSOURCES-CC-SITE/PDF/CONIGLIO_V4.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2016.12.014"]}, {"id": "862f19f8317971fabc46cf0f994f4a8616f17b78", "title": "Human Re-identification through Distance Metric Learning based on Jensen-Shannon Kernel", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/862f/19f8317971fabc46cf0f994f4a8616f17b78.pdf"], "doi": []}, {"id": "f8ebba8188c9f6b1688ba7ba76f297215e6cc7c7", "title": "Triplet-Based Deep Similarity Learning for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.03254.pdf"], "doi": []}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"id": "b0623c1d8493d273d704ba1d0413db0de579ae77", "title": "Attributes-Based Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b062/3c1d8493d273d704ba1d0413db0de579ae77.pdf"], "doi": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "4953dc81247efe5a1c28c79fd1d4ab69bbb9f21c", "title": "Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04179.pdf"], "doi": []}, {"id": "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "title": "Multi-type attributes driven multi-camera person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.005"]}, {"id": "6a4dbd2db0e09a4f3aab3d2602db3176f825d8f9", "title": "Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6a4d/bd2db0e09a4f3aab3d2602db3176f825d8f9.pdf"], "doi": []}, {"id": "226ecde126cbcefcab78d551be1bbd814738397f", "title": "People re-identification using deep convolutional neural network", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/47403/47403.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295083", "http://doi.org/10.5220/0004740302160223"]}, {"id": "463a1ca5f819af35e71ae47ea0e57293691507d3", "title": "Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/463a/1ca5f819af35e71ae47ea0e57293691507d3.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "c91406fea53e869e431dc9a799b989321a66c9da", "title": "Point to Set Similarity Based Deep Feature Learning for Person Re-Identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Point_to_Set_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100017", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.534", "http://doi.org/10.1109/CVPR.2017.534"]}, {"id": "16a2f42edb98495bb9b766c56a05edcd2ca4ef03", "title": "Multi-shot SURF-based person re-identification via sparse representation", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636633.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636633", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636633", "http://doi.org/10.1109/AVSS.2013.6636633"]}, {"id": "6c518aabdbba2c073eab6a3bb4120023851e524c", "title": "Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c51/8aabdbba2c073eab6a3bb4120023851e524c.pdf"], "doi": []}, {"id": "58888b30e9123c1b1709be1efa92898e090d7bd2", "title": "Person Re-Identification by Discriminative Selection in Video Ranking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06260.pdf"], "doi": []}, {"id": "60fb007eef153fdf9c3d6620c419bef1c657c555", "title": "A soft-biometrics dataset for person tracking and re-identification", "year": "2014", "pdf": ["https://cvhci.anthropomatik.kit.edu/~aschuman/sobisdata/files/avss2014.pdf", "https://cvhci.anthropomatik.kit.edu/~aschuman/sobisdata/files/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918667", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918667", "http://doi.org/10.1109/AVSS.2014.6918667"]}, {"id": "4d48f40d4599dcebd3b31667cc113e140f95607d", "title": "Enhancing Person Re-Identification Based on Recurrent Feature Aggregation Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337516"]}, {"id": "d6e8930b3758e415a09238aae4a129bbf2d5468b", "title": "A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600306", "http://doi.org/10.1109/ACCESS.2019.2890836"]}, {"id": "140a587914d1e60f636c1a479c4673631ad78d04", "title": "Convolutional covariance features: Conception, integration and performance in person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.013"]}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "25b83cffddff334d78c55db4d67c65b1d8999b2f", "title": "Optimization of Person Re-Identification through Visual Descriptors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/25b8/3cffddff334d78c55db4d67c65b1d8999b2f.pdf"], "doi": []}, {"id": "51319bb12c67fb5b11cbf2012a7e2059718b52eb", "title": "Local Fisher Discriminant Analysis for Pedestrian Re-identification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d318.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Pedagadi_Local_Fisher_Discriminant_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619270", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.426", "http://doi.org/10.1109/CVPR.2013.426"]}, {"id": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.pdf"], "doi": []}, {"id": "13e3a68dd49b2098c2cad2acc799953abdcaa3ee", "title": "Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1135-x"]}, {"id": "451d777ee33833a3b5eb6ba5292fae162c6d265f", "title": "Exploiting Feature Correlations by Brownian Statistics for People Detection and Recognition", "year": "2017", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/slawekSMCBrownian2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7445882", "http://doi.org/10.1109/TSMC.2016.2531658"]}, {"id": "31c0968fb5f587918f1c49bf7fa51453b3e89cf7", "title": "Deep Transfer Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05244.pdf"], "doi": []}, {"id": "36358eff7c34de64c0ce8aa42cf7c4da24bf8e93", "title": "Deep Metric Learning for Person Re-identification", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Yi-ICPR-14.pdf", "https://pdfs.semanticscholar.org/3635/8eff7c34de64c0ce8aa42cf7c4da24bf8e93.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976727", "http://doi.org/10.1109/ICPR.2014.16"]}, {"id": "b76d6f49f97bfff0f49efbd3b50115ee4ff249d2", "title": "Co-Metric Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b76d/6f49f97bfff0f49efbd3b50115ee4ff249d2.pdf"], "doi": []}, {"id": "6b21214562e3cdb3b7b9027f0f88918f6ee24c52", "title": "GDMN: Group Decision-Making Network for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8506353"]}, {"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "2880826d86a57cd15a73872ad6339baf5b100a9e", "title": "On deeply learning features for automatic person image re-identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2880/826d86a57cd15a73872ad6339baf5b100a9e.pdf"], "doi": []}, {"id": "6752b59da83c03e64c73f9248a67304713b6efa9", "title": "Chapter 3 Re-identification by Covariance Descriptors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6752/b59da83c03e64c73f9248a67304713b6efa9.pdf"], "doi": []}, {"id": "73a1c6815c0ef4d62cbdb7a73e84d7dcd370b50b", "title": "Fusion of appearance and motion-based sparse representations for multi-shot person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.11.073"]}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "eca9b9dd665556423278b85f79e1d589009a7ea7", "title": "Person Re-Identi fi cation by Robust Canonical Correlation Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/eca9/b9dd665556423278b85f79e1d589009a7ea7.pdf"], "doi": []}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "107010b7f2abe3c0c9df62bcef35eb77f6fc76df", "title": "Domain-adversarial training of neural networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.07818.pdf"], "doi": []}, {"id": "2eb14814511d93fcd01e81f4f838647eb10af3be", "title": "Dense appearance modeling and efficient learning of camera transitions for person re-identification", "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/hirzer_icip_2012.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/hirzer_icip_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6467185", "http://doi.org/10.1109/ICIP.2012.6467185"]}, {"id": "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "title": "Human-In-The-Loop Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01345.pdf"], "doi": []}, {"id": "35184b2891ca17a8b1e5fe45b319336d00a2a4c9", "title": "Video Person Re-Identification by Temporal Residual Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07918.pdf"], "doi": []}, {"id": "f1df5f74477658df45814743f2e605656e8ac16e", "title": "See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14514/1/%E8%AE%BA%E6%96%87%20See%20the%20Forest%20for%20the%20Trees%20Joint%20Spatial%20and%20Temporal%20Recurrent%20Neural%20Networks%20for%20Video-based%20Person%20Re-identfication.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_See_the_Forest_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100200", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.717", "http://doi.org/10.1109/CVPR.2017.717"]}, {"id": "9c2039d036c01e421176d33c1436633d03be4678", "title": "Review of Person Re-identification Techniques", "year": "2014", "pdf": ["https://arxiv.org/pdf/1511.02319.pdf"], "doi": []}, {"id": "64f6f1cd23bbac1983ad4115475e4ef26ab86ba4", "title": "Person re-identification by unsupervised video matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08512.pdf"], "doi": []}, {"id": "230527d37421c28b7387c54e203deda64564e1b7", "title": "Person Re-identification: System Design and Evaluation Overview", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2305/27d37421c28b7387c54e203deda64564e1b7.pdf"], "doi": []}, {"id": "e0cac58f3855cd84b9d28f508b2f7711e0d7e44a", "title": "3 A : A PERSON RE-IDENTIFICATION SYSTEM VIA ATTRIBUTE AUGMENTATION AND AGGREGATION", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e0ca/c58f3855cd84b9d28f508b2f7711e0d7e44a.pdf"], "doi": []}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17325", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17325/16308"]}, {"id": "b1ffa7a926e129f8dccdd6f258fea034cbee9160", "title": "Minimizing hallucination in histogram of Oriented Gradients", "year": "2015", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/javierAVSS2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301764", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301764", "http://doi.org/10.1109/AVSS.2015.7301764"]}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "0a2aca07c9e15de3d5924e156af9a8e1a67b4cab", "title": "Person Reidentification With Reference Descriptor", "year": "2016", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tcsvt2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7067434", "http://doi.org/10.1109/TCSVT.2015.2416561"]}, {"id": "6f0417ed89e3750a3b39d0bd7de2b4d12879c2a4", "title": "Retrieval system for person re-identification", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/48718/48718.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295006", "http://doi.org/10.5220/0004871807320738"]}, {"id": "d8949f4f4085b15978e20ed7c5c34a080dd637f2", "title": "Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Chen_Deep_Spatial-Temporal_Fusion_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014925", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.191", "http://doi.org/10.1109/CVPRW.2017.191"]}, {"id": "160ab0e879f4451fa4df88cd567508150894ba9d", "title": "Cross Dataset Person Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/160a/b0e879f4451fa4df88cd567508150894ba9d.pdf"], "doi": []}, {"id": "1cbad37f54bb3d55c621c31e741472e15f832809", "title": "Integration of deep features and hand-crafted features for person re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026267", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026267", "http://doi.org/10.1109/ICMEW.2017.8026267"]}, {"id": "149d0f12530a874093a478551e7f04c6641099d8", "title": "Person re-identification via hypergraph-based matching", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2015.12.029"]}, {"id": "7bb929b8ff2f83de91318865232819be8b13fbe5", "title": "Discriminant Context Information Analysis for Post-Ranking Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815412", "http://doi.org/10.1109/TIP.2017.2652725", "https://www.ncbi.nlm.nih.gov/pubmed/28092558", "https://www.wikidata.org/entity/Q39018259"]}, {"id": "2fdb3576715829aa9bbaf74825236bbb71d06f1a", "title": "Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01911.pdf"], "doi": []}, {"id": "3529310a5b3a8b5a576651dcc994ff1755e8560c", "title": "Video-Based Person Re-identification by Deep Feature Guided Pooling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014922"]}, {"id": "0195bf2b913dbc527fb081674f480ecd8a799c34", "title": "Parametric Local Multi-modal Metric Learning for Person Re-identification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977158", "http://doi.org/10.1109/ICPR.2014.445"]}, {"id": "008d536060dfb10782e889f133551c9b87b2cfa2", "title": "Covariance descriptor based on bio-inspired features for person re-identification and face verification", "year": "2014", "pdf": ["https://hal.archives-ouvertes.fr/file/index/docid/1009958/filename/14_IMAVIS_REID.pdf", "https://jurie.users.greyc.fr/papers/14_IMAVIS_REID.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2014.04.002", "https://hal.archives-ouvertes.fr/hal-01009958/document"]}, {"id": "2d919473cf43e2522b2366271b778ce6ce7dc75c", "title": "Appearance-Based Re-identification of Humans in Low-Resolution Videos Using Means of Covariance Descriptors", "year": "2012", "pdf": ["http://akme-a2.iosb.fraunhofer.de/EatThisGoogleScholar/d/2012_Appearance-based%20re-identification%20of%20humans%20in%20low-resolution%20videos%20using%20means%20of%20covariance%20descriptors.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328015", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.12", "http://doi.org/10.1109/AVSS.2012.12"]}, {"id": "7c1f47ca50a8a55f93bf69791d9df2f994019758", "title": "Re-identification and semantic retrieval of pedestrians in video surveillance scenarios", "year": "2016", "pdf": ["http://veprints.unica.it/1295/1/PhD_ThesisPalaF.pdf"], "doi": ["https://www.base-search.net/Record/ccb1ca569ce2ea9f085d6b881e6460aba3aa6f76044859d2948b4eb9f7dda817"]}, {"id": "cfffe8b338cded442280c6435a9eb5f349f0a77c", "title": "A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354250"]}, {"id": "93498110032a458fddebfae80d7a93991e11673d", "title": "Brownian descriptor: A rich meta-feature for appearance matching", "year": "2014", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/slawek-wacv2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836077", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836077", "http://doi.org/10.1109/WACV.2014.6836077"]}, {"id": "2170636d5d31eb461618b5da10f4473c67e74e73", "title": "Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780518", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.149", "http://doi.org/10.1109/CVPR.2016.149"]}, {"id": "e216e7755e1c6850a3e64d1e6402aaf5a36e2188", "title": "From Groups to Co-Traveler Sets: Pair Matching Based Person Re-identification Framework", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Cao_From_Groups_to_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265513", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.302", "http://doi.org/10.1109/ICCVW.2017.302"]}]}
\ No newline at end of file +{"id": "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "citations": [{"id": "5bb14bba7510c590164007d7e3aa1bf88cb3faec", "title": "Learning to Match Appearances by Correlations in a Covariance Metric Space", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fa15/ccb62519750289706fee4eaaa13cad88aa28.pdf"], "doi": []}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "61470aaccabd195a361112d38d80d3779498f784", "title": "Stepwise Metric Promotion for Unsupervised Video Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Stepwise_Metric_Promotion_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237528", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.266", "http://doi.org/10.1109/ICCV.2017.266"]}, {"id": "ae299fad29ba650fbf1e14c7c95ba8ae32e095f0", "title": "Person Re-Identification by Robust Canonical Correlation Analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006657", "http://doi.org/10.1109/LSP.2015.2390222"]}, {"id": "bb3d634c5c021de7c2ba10b073c63171f7610c6c", "title": "Multi-shot Pedestrian Re-identification via Sequential Decision Making", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578807"]}, {"id": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"], "doi": []}, {"id": "9a9af8a5b6939a1da9936608fbf071f852eca7e1", "title": "Deep Part Features Learning by a Normalised Double-Margin-Based Contrastive Loss Function for Person Re-Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9a9a/f8a5b6939a1da9936608fbf071f852eca7e1.pdf"], "doi": []}, {"id": "88b02b654a0206e47979618ff95697f4cab7f6a1", "title": "Target re-identification based on adaptive incremental KISS measure learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s12293-016-0196-z"]}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "6ce6da7a6b2d55fac604d986595ba6979580393b", "title": "Cross Domain Knowledge Transfer for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06026.pdf"], "doi": []}, {"id": "afd29ac2de84c8a6d48232477be018ec57d6f564", "title": "Deep Metric Learning for Practical Person Re-Identification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4979.pdf"], "doi": []}, {"id": "5f1019f26479545a6f2f9c364b995579e283d2ce", "title": "Multi-shot Person Re-Identification Using Part Appearance Mixture", "year": "2017", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/furqanWACV17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926656", "http://doi.org/10.1109/WACV.2017.73"]}, {"id": "1a3bd11734742234ed8b12bf6221f2569b2a59db", "title": "Bagging based metric learning for person re-identification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890259", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890259", "http://doi.org/10.1109/ICME.2014.6890259"]}, {"id": "fef7fb6f3e239c346cd144960e27875889fdd650", "title": "One-Shot Metric Learning for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Bak_One-Shot_Metric_Learning_CVPR_2017_paper.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20170713092653/One-Shot-Metric-Learning-for-Person-Re-identification-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099654", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.171", "http://doi.org/10.1109/CVPR.2017.171"]}, {"id": "16e577820999e584c787ec611f55746cf9147518", "title": "Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs", "year": "2015", "pdf": ["http://www.cs.jhu.edu/~andyjhma/DAPRIDfinal.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7018030", "http://doi.org/10.1109/TIP.2015.2395715", "https://www.ncbi.nlm.nih.gov/pubmed/25622315", "https://www.wikidata.org/entity/Q41524881"]}, {"id": "c8654556a010a86b8eec681b290a1d06597c6202", "title": "Person re-identification based on multi-instance multi-label learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.04.060"]}, {"id": "a0cc5f73a37723a6dd465924143f1cb4976d0169", "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578114"]}, {"id": "101c5b39f4fc4dda1f39bf0c00e196f0a4720af2", "title": "Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features", "year": "2015", "pdf": ["http://vc.cs.nthu.edu.tw/home/paper/codfiles/yjchen/201410171439/06910272.pdf", "http://www.ecse.rpi.edu/~rjradke/papers/wu-pami14.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/wu-pami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910272", "http://doi.org/10.1109/TPAMI.2014.2360373", "https://www.ncbi.nlm.nih.gov/pubmed/26353331", "https://www.wikidata.org/entity/Q40558158"]}, {"id": "2f529605ed776d4fbeac2d73054247b495504ac7", "title": "Person Re-identification for Real-world Surveillance Systems", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05975.pdf"], "doi": []}, {"id": "71529e3e51f2967e338124652e93a3d34eb6c5e1", "title": "Deep triplet-group network by exploiting symmetric and asymmetric information for person reidentification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7152/9e3e51f2967e338124652e93a3d34eb6c5e1.pdf"], "doi": []}, {"id": "a0303a4d37e8264028808661050c4443b6b880de", "title": "Robust Video Object Tracking in Distributed Camera Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a030/3a4d37e8264028808661050c4443b6b880de.pdf"], "doi": []}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "356965584382b789e17d073edbfc096aed74d05b", "title": "Video-Based Person Re-Identification via Self Paced Weighting", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/aeb0/f4ffb57e40c93606458707622c0b37ea3790.pdf"], "doi": []}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468189", "http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "2f910e4a72a2fea67ea6c83f36c7017fe26ca9a8", "title": "On-the-fly feature importance mining for person re-identification", "year": "2014", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/pr_2014.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/LiuGongLoy_PR2013.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/6523/Gong%20On-the-fly%202014%20Accepted.pdf?sequence=2", "https://www.researchgate.net/profile/Chen_Change_Loy/publication/259507456_On-the-fly_feature_importance_mining_for_person_re-identification/links/02e7e52c8c8de43a49000000.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.11.001"]}, {"id": "069cadd9d8e52ad2715a3551012a06e506191626", "title": "Person re-identification using semantic color names and RankBoost", "year": "2013", "pdf": ["http://www.samehkhamis.com/kuo-wacv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475030", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475030", "http://doi.org/10.1109/WACV.2013.6475030"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "57c270a9f468f7129643852945cf3562cbb76e07", "title": "Multi-label convolutional neural network based pedestrian attribute classification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2016.07.004"]}, {"id": "5bb24d1250df62a56cab1445f1d8c5c61269b785", "title": "Measuring the Temporal Behavior of Real-World Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05499.pdf"], "doi": []}, {"id": "2603d8578a6c95a9b9d4cb8a73bc66f18d523f37", "title": "Deep Parts Similarity Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2603/d8578a6c95a9b9d4cb8a73bc66f18d523f37.pdf"], "doi": []}, {"id": "bf4780c028ba42bceb222bde11450672138602f5", "title": "Person re-identification based on CCN feature representations learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107776", "http://doi.org/10.1109/ICMLC.2017.8107776"]}, {"id": "1c0319d67707dd7dde76e47668e852e74692df30", "title": "Human Re-identification Through a Video Camera Network. (R\u00e9-identification de personne dans un r\u00e9seau de cameras vid\u00e9o)", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1c03/19d67707dd7dde76e47668e852e74692df30.pdf"], "doi": []}, {"id": "e989a827fa3b00941410364cd3507e4779bffb69", "title": "Person re-identification by the asymmetric triplet and identification loss function", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5182-z"]}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "e0027a30bef2d84d33eb3d0d62d9ca4806a53230", "title": "A Two Stream Siamese Convolutional Neural Network for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Chung_A_Two_Stream_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.218", "http://doi.org/10.1109/ICCV.2017.218"]}, {"id": "35e15c8aa2a3f017462a64b5ef940baf5993480f", "title": "Top-Push Video-Based Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.08683.pdf"], "doi": []}, {"id": "1f6dd0ff2e8493b81e3699b520193198d4eed4e6", "title": "Shaogang Gong Part I Features and Representations 1 Discriminative Image Descriptors for Person Re-identification . . . . . 25 7 One-shot Person Re-identification with a Consumer Depth Camera . 163 List of Contributors the Re-identification Challenge", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f6d/d0ff2e8493b81e3699b520193198d4eed4e6.pdf"], "doi": []}, {"id": "01381e2faeb26489ae9c24c84c42df33901cfe61", "title": "Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05165.pdf"], "doi": []}, {"id": "83c19722450e8f7dcb89dabb38265f19efafba27", "title": "A framework with updateable joint images re-ranking for Person Re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02983.pdf"], "doi": []}, {"id": "830fb48d04609bef50ae7f8f3513ce1b160894c9", "title": "Multi-Shot Human Re-Identification for the Security in Video Surveillance Systems", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8495936", "http://doi.ieeecomputersociety.org/10.1109/WETICE.2018.00046", "http://doi.org/10.1109/WETICE.2018.00046"]}, {"id": "ef7191fd43d120b77d3d367f8a6e11ae38ca5212", "title": "Person reidentification by semisupervised dictionary rectification learning with retraining module", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/60d7/5d32d345c519fa5c0d8d6b6eb62e633a8d13.pdf"], "doi": []}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "7c37f8213a33a07076ece47660ad681cb1b58d08", "title": "Adaptive Metric Learning for People Re-Identification", "year": "2014", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E97.D/11/E97.D_2013EDP7451/_pdf/-char/en"], "doi": ["https://doi.org/10.1587/transinf.2013EDP7451", "http://search.ieice.org/bin/summary.php?id=e97-d_11_2888"]}, {"id": "cd7c007f5831b294160eaf1cc6270af4a0ca9bf4", "title": "Person re-identification with block sparse recovery", "year": "2017", "pdf": ["https://www.ecse.rpi.edu/Homepages/rjradke/papers/karanam-ivc16.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.11.015"]}, {"id": "31ab7bb7a1f84553f3a9bc975131f4ec95caaf61", "title": "Closed and Open-World Person Re-Identification and Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227416", "http://doi.org/10.1109/DICTA.2017.8227416"]}, {"id": "15cd9d3d455cb77948ec498bfa112bef7363c2e4", "title": "Transfer Learning of Spatio-Temporal Information Using 3D-CNN for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8616160"]}, {"id": "2594bf77a1fef68d86be74a2cb79c55499cb2bec", "title": "Learning Invariant Color Features for Person Reidentification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1410.1035.pdf"], "doi": []}, {"id": "9035dc898c10b203589699063908073b2f1d2e2a", "title": "POP: Person Re-identification Post-rank Optimisation", "year": "2013", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/iccv_2013_reid.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Liu_POP_Person_Re-identification_2013_ICCV_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/LiuEtAl_ICCV2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751164", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.62", "http://doi.org/10.1109/ICCV.2013.62"]}, {"id": "d75640108db01f7e0706780e6356a0c82c7eaf29", "title": "Multiple-Shot People Re-Identification by Patch-Wise Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d756/40108db01f7e0706780e6356a0c82c7eaf29.pdf"], "doi": []}, {"id": "a6f477f3c1cb2ab230fe8d89c31ae6af0b9c2346", "title": "Relevance Subject Machine: A Novel Person Re-identification Framework", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10645.pdf"], "doi": []}, {"id": "e10a257f1daf279e55f17f273a1b557141953ce2", "title": "A survey of approaches and trends in person re-identification", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-9.pdf", "http://romisatriawahono.net/lecture/rm/survey/computer%20vision/Gala%20-%20Person%20Reidentification%20-%202014.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.001"]}, {"id": "10114df7ddbb221337cc1e99e1de0eab8e47c95d", "title": "Evaluating Feature Importance for Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1011/4df7ddbb221337cc1e99e1de0eab8e47c95d.pdf"], "doi": []}, {"id": "616d3adb73ac0d8ba83d9ae4ed74c48e38e0f4e2", "title": "Unsupervised Surveillance Video Retrieval Based on Human Action and Appearance", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977505"]}, {"id": "60e065dbb795cc0d76ec187116eb87d1f42b5485", "title": "A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00637.pdf"], "doi": []}, {"id": "cb8567f074573a0d66d50e75b5a91df283ccd503", "title": "Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.05512.pdf"], "doi": []}, {"id": "b2efa9a9d996b396317e94d26add673bbf804bca", "title": "RGB-Infrared Cross-Modality Person Re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237837"]}, {"id": "b4a3f480e2004bdc8106de2f772283101bb290d0", "title": "Multi-stage ranking approach for fast person re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4a3/f480e2004bdc8106de2f772283101bb290d0.pdf"], "doi": []}, {"id": "a04caf5898d01972e28a38faed9a2eeae78cf21e", "title": "Dana36: A Multi-camera Image Dataset for Object Identification in Surveillance Scenarios", "year": "2012", "pdf": ["https://vision.fe.uni-lj.si/docs/danas/merged_avss.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6327986", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.33", "http://doi.org/10.1109/AVSS.2012.33"]}, {"id": "0a058caa89d195930224148d3d2897c0c08fc668", "title": "Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10591.pdf"], "doi": []}, {"id": "44fe6787f864812e666fbed8c18e18ad0eff190f", "title": "Long-Term Person Re-identification Using True Motion from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354164", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00060", "http://doi.org/10.1109/WACV.2018.00060"]}, {"id": "a23f55dacd3b2f3e61d6a30da49c307ed0102807", "title": "Unsupervised person re-identification via re-ranking enhanced sample-specific metric learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296914", "http://doi.org/10.1109/ICIP.2017.8296914"]}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "4f7821d28033be3757ad567e0c4e79a43e1b4a72", "title": "People re-identification across non-overlapping cameras using group features", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.06.011"]}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "2d6130f043e69849fc0443bb489c5d21f933eddd", "title": "Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01609.pdf"], "doi": []}, {"id": "e255ca660def135eb6ac99127d08df032876d8ab", "title": "Bidirectional ranking for person re-identification", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607577", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607577", "http://doi.org/10.1109/ICME.2013.6607577"]}, {"id": "734516f9eec8ec70ef924806fbc6f8093e94a0e8", "title": "Recurrent Convolutional Network for Video-Based Person Re-identification", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "http://pure.qub.ac.uk/portal/files/27151912/PID4180443.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734119,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780517", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.148", "http://doi.org/10.1109/CVPR.2016.148"]}, {"id": "36cbcd70af6f2fd3e700e0a710acd5f1f6abebcf", "title": "Matching People across Camera Views using Kernel Canonical Correlation Analysis", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659036"]}, {"id": "b38b621bd21813b33abb11ef2ffb51af3791b73a", "title": "Multi-Level Metric Learning via Smoothed Wasserstein Distance", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0405.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F405", "https://doi.org/10.24963/ijcai.2018/405"]}, {"id": "54c5e9cded7da1f9dc695f5397d9d1a5ac5350af", "title": "Person Re-identification Based on Color Histogram and Spatial Configuration of Dominant Color Regions", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.3410.pdf"], "doi": []}, {"id": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"], "doi": []}, {"id": "b5790f1bc586a77ff2cbea002b7ad2646e32af6b", "title": "Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Garcia_Person_Re-Identification_Ranking_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Garcia_Person_Re-Identification_Ranking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410511", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.154", "http://doi.org/10.1109/ICCV.2015.154"]}, {"id": "9ff961417d02f94d3e8a2accc591edd6f79cc21c", "title": "Asymmetric Projection and Dictionary Learning With Listwise and Identity Consistency Constraints for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8410867", "http://doi.org/10.1109/ACCESS.2018.2853259"]}, {"id": "dbec415ba09ab66ea5855aaa1267796b75ef7e7b", "title": "Person Re-identification in Appearance Impaired Scenarios", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00367.pdf"], "doi": []}, {"id": "6a90a2bf7f275b81596e0dacc78ad2991eac0311", "title": "Multiple View Oriented Matching Algorithm for People Reidentification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6834787", "http://doi.org/10.1109/TII.2014.2330976"]}, {"id": "bad7254ae08f8bf1305e70c7de28374f67f151fd", "title": "R\u00e9-identification de personnes \u00e0 partir des s\u00e9quences vid\u00e9o. (Person re-identification from video sequence)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bad7/254ae08f8bf1305e70c7de28374f67f151fd.pdf"], "doi": []}, {"id": "fcb64ef4421cebb80eb33f62c7726f339eb2bb62", "title": "Deep View-Aware Metric Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fcb6/4ef4421cebb80eb33f62c7726f339eb2bb62.pdf"], "doi": []}, {"id": "46638b810bf69023bca41db664b49bc935bcba3c", "title": "Unsupervised Salience Learning for Person Re-identification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d586.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhao_Unsupervised_Salience_Learning_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~rzhao/project/salience_cvpr13/zhaoOWcvpr13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619304", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.460", "http://doi.org/10.1109/CVPR.2013.460"]}, {"id": "32dc3e04dea2306ec34ca3f39db27a2b0a49e0a1", "title": "moM: Mean of Moments Feature for Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w21/Gou_moM_Mean_of_ICCV_2017_paper.pdf", "http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/MengranGou_ICCVW17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265364", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.154", "http://doi.org/10.1109/ICCVW.2017.154"]}, {"id": "cf682939be6828d1a70161618024e02af660d1bb", "title": "Structured learning of metric ensembles with application to person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.08531.pdf"], "doi": []}, {"id": "f10f6c294130c76981f0e584af5811c44636eda5", "title": "The Re-identification Challenge", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/109c/7a377a1160ff36874829e3d0a47e08d7ea5e.pdf"], "doi": []}, {"id": "f31c9328b5b4678388c19a39064a8056313f7cf4", "title": "Two-Stream Multi-Rate Recurrent Neural Network for Video-Based Pedestrian Re-Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f31c/9328b5b4678388c19a39064a8056313f7cf4.pdf"], "doi": []}, {"id": "684c8acd49148020e9bf9c4f4aefc03708a6dac0", "title": "Video-Based Person Re-Identification With Accumulative Motion Context", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.00193.pdf"], "doi": []}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "441e7df66fe6052a6b770c3aeca4acd8dea98643", "title": "PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.06011.pdf"], "doi": []}, {"id": "6562c40932ea734f46e5068555fbf3a185a345de", "title": "Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.00409.pdf"], "doi": []}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "25f1a5121cb7fb67749a6f6dbc27fd48f177d5fb", "title": "Context-Aware Hypergraph Modeling for Re-identification and Summarization", "year": "2016", "pdf": ["http://vision.ece.ucsb.edu/sites/vision.ece.ucsb.edu/files/publications/07312467_0.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7312467", "http://doi.org/10.1109/TMM.2015.2496139"]}, {"id": "9b976f7bfa636d89510fe5ad7fb7a8057b86a57f", "title": "Feature encoding in band-limited distributed surveillance systems", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06423.pdf"], "doi": []}, {"id": "ee62cff7f027a31c3bd7f313bfdc04e7d79eb04a", "title": "Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhao_Spindle_Net_Person_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099586", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.103", "http://doi.org/10.1109/CVPR.2017.103"]}, {"id": "16f1a35d0149482d6b2b67df58b21b68622e6b9c", "title": "Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics", "year": "2016", "pdf": ["http://ijcai.org/Proceedings/16/Papers/501.pdf", "https://www.ijcai.org/Proceedings/16/Papers/501.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424182", "http://doi.org/10.1109/TIP.2018.2861366", "http://www.ijcai.org/Abstract/16/501", "https://www.ncbi.nlm.nih.gov/pubmed/30072322"]}, {"id": "b2c52de097b4e903a1ed487ac8476971f3d52a34", "title": "3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.10222.pdf"], "doi": []}, {"id": "7f8d4494aba2a2b11a88bf7de4b8879b047dd69b", "title": "Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578661", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00563", "http://doi.org/10.1109/CVPR.2018.00563"]}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "50f3209d022d1ac185237425a3ad682d2234c1ca", "title": "Boosting Fisher vector based scoring functions for person re-identification", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.008"]}, {"id": "51b1d708bdb758de8ce217c51992f794c70abe95", "title": "People silhouette extraction from people detection bounding boxes in images", "year": "2017", "pdf": ["http://www.christopheconiglio.com/RESSOURCES-CC-SITE/PDF/CONIGLIO_V4.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2016.12.014"]}, {"id": "862f19f8317971fabc46cf0f994f4a8616f17b78", "title": "Human Re-identification through Distance Metric Learning based on Jensen-Shannon Kernel", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/862f/19f8317971fabc46cf0f994f4a8616f17b78.pdf"], "doi": []}, {"id": "f8ebba8188c9f6b1688ba7ba76f297215e6cc7c7", "title": "Triplet-Based Deep Similarity Learning for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.03254.pdf"], "doi": []}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"id": "b0623c1d8493d273d704ba1d0413db0de579ae77", "title": "Attributes-Based Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b062/3c1d8493d273d704ba1d0413db0de579ae77.pdf"], "doi": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "4953dc81247efe5a1c28c79fd1d4ab69bbb9f21c", "title": "Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04179.pdf"], "doi": []}, {"id": "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "title": "Multi-type attributes driven multi-camera person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.005"]}, {"id": "6a4dbd2db0e09a4f3aab3d2602db3176f825d8f9", "title": "Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6a4d/bd2db0e09a4f3aab3d2602db3176f825d8f9.pdf"], "doi": []}, {"id": "226ecde126cbcefcab78d551be1bbd814738397f", "title": "People re-identification using deep convolutional neural network", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/47403/47403.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295083", "http://doi.org/10.5220/0004740302160223"]}, {"id": "463a1ca5f819af35e71ae47ea0e57293691507d3", "title": "Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/463a/1ca5f819af35e71ae47ea0e57293691507d3.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "c91406fea53e869e431dc9a799b989321a66c9da", "title": "Point to Set Similarity Based Deep Feature Learning for Person Re-Identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Point_to_Set_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100017", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.534", "http://doi.org/10.1109/CVPR.2017.534"]}, {"id": "16a2f42edb98495bb9b766c56a05edcd2ca4ef03", "title": "Multi-shot SURF-based person re-identification via sparse representation", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636633.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636633", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636633", "http://doi.org/10.1109/AVSS.2013.6636633"]}, {"id": "6c518aabdbba2c073eab6a3bb4120023851e524c", "title": "Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c51/8aabdbba2c073eab6a3bb4120023851e524c.pdf"], "doi": []}, {"id": "58888b30e9123c1b1709be1efa92898e090d7bd2", "title": "Person Re-Identification by Discriminative Selection in Video Ranking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06260.pdf"], "doi": []}, {"id": "60fb007eef153fdf9c3d6620c419bef1c657c555", "title": "A soft-biometrics dataset for person tracking and re-identification", "year": "2014", "pdf": ["https://cvhci.anthropomatik.kit.edu/~aschuman/sobisdata/files/avss2014.pdf", "https://cvhci.anthropomatik.kit.edu/~aschuman/sobisdata/files/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918667", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918667", "http://doi.org/10.1109/AVSS.2014.6918667"]}, {"id": "4d48f40d4599dcebd3b31667cc113e140f95607d", "title": "Enhancing Person Re-Identification Based on Recurrent Feature Aggregation Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337516"]}, {"id": "d6e8930b3758e415a09238aae4a129bbf2d5468b", "title": "A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600306", "http://doi.org/10.1109/ACCESS.2019.2890836"]}, {"id": "140a587914d1e60f636c1a479c4673631ad78d04", "title": "Convolutional covariance features: Conception, integration and performance in person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.013"]}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "25b83cffddff334d78c55db4d67c65b1d8999b2f", "title": "Optimization of Person Re-Identification through Visual Descriptors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/25b8/3cffddff334d78c55db4d67c65b1d8999b2f.pdf"], "doi": []}, {"id": "51319bb12c67fb5b11cbf2012a7e2059718b52eb", "title": "Local Fisher Discriminant Analysis for Pedestrian Re-identification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d318.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Pedagadi_Local_Fisher_Discriminant_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619270", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.426", "http://doi.org/10.1109/CVPR.2013.426"]}, {"id": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.pdf"], "doi": []}, {"id": "13e3a68dd49b2098c2cad2acc799953abdcaa3ee", "title": "Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1135-x"]}, {"id": "451d777ee33833a3b5eb6ba5292fae162c6d265f", "title": "Exploiting Feature Correlations by Brownian Statistics for People Detection and Recognition", "year": "2017", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/slawekSMCBrownian2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7445882", "http://doi.org/10.1109/TSMC.2016.2531658"]}, {"id": "31c0968fb5f587918f1c49bf7fa51453b3e89cf7", "title": "Deep Transfer Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05244.pdf"], "doi": []}, {"id": "36358eff7c34de64c0ce8aa42cf7c4da24bf8e93", "title": "Deep Metric Learning for Person Re-identification", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Yi-ICPR-14.pdf", "https://pdfs.semanticscholar.org/3635/8eff7c34de64c0ce8aa42cf7c4da24bf8e93.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976727", "http://doi.org/10.1109/ICPR.2014.16"]}, {"id": "b76d6f49f97bfff0f49efbd3b50115ee4ff249d2", "title": "Co-Metric Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b76d/6f49f97bfff0f49efbd3b50115ee4ff249d2.pdf"], "doi": []}, {"id": "6b21214562e3cdb3b7b9027f0f88918f6ee24c52", "title": "GDMN: Group Decision-Making Network for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8506353"]}, {"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "2880826d86a57cd15a73872ad6339baf5b100a9e", "title": "On deeply learning features for automatic person image re-identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2880/826d86a57cd15a73872ad6339baf5b100a9e.pdf"], "doi": []}, {"id": "6752b59da83c03e64c73f9248a67304713b6efa9", "title": "Chapter 3 Re-identification by Covariance Descriptors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6752/b59da83c03e64c73f9248a67304713b6efa9.pdf"], "doi": []}, {"id": "73a1c6815c0ef4d62cbdb7a73e84d7dcd370b50b", "title": "Fusion of appearance and motion-based sparse representations for multi-shot person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.11.073"]}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "eca9b9dd665556423278b85f79e1d589009a7ea7", "title": "Person Re-Identi fi cation by Robust Canonical Correlation Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/eca9/b9dd665556423278b85f79e1d589009a7ea7.pdf"], "doi": []}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "107010b7f2abe3c0c9df62bcef35eb77f6fc76df", "title": "Domain-adversarial training of neural networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.07818.pdf"], "doi": []}, {"id": "2eb14814511d93fcd01e81f4f838647eb10af3be", "title": "Dense appearance modeling and efficient learning of camera transitions for person re-identification", "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/hirzer_icip_2012.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/hirzer_icip_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6467185", "http://doi.org/10.1109/ICIP.2012.6467185"]}, {"id": "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "title": "Human-In-The-Loop Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01345.pdf"], "doi": []}, {"id": "35184b2891ca17a8b1e5fe45b319336d00a2a4c9", "title": "Video Person Re-Identification by Temporal Residual Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07918.pdf"], "doi": []}, {"id": "f1df5f74477658df45814743f2e605656e8ac16e", "title": "See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14514/1/%E8%AE%BA%E6%96%87%20See%20the%20Forest%20for%20the%20Trees%20Joint%20Spatial%20and%20Temporal%20Recurrent%20Neural%20Networks%20for%20Video-based%20Person%20Re-identfication.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_See_the_Forest_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100200", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.717", "http://doi.org/10.1109/CVPR.2017.717"]}, {"id": "9c2039d036c01e421176d33c1436633d03be4678", "title": "Review of Person Re-identification Techniques", "year": "2014", "pdf": ["https://arxiv.org/pdf/1511.02319.pdf"], "doi": []}, {"id": "64f6f1cd23bbac1983ad4115475e4ef26ab86ba4", "title": "Person re-identification by unsupervised video matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08512.pdf"], "doi": []}, {"id": "230527d37421c28b7387c54e203deda64564e1b7", "title": "Person Re-identification: System Design and Evaluation Overview", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2305/27d37421c28b7387c54e203deda64564e1b7.pdf"], "doi": []}, {"id": "e0cac58f3855cd84b9d28f508b2f7711e0d7e44a", "title": "3 A : A PERSON RE-IDENTIFICATION SYSTEM VIA ATTRIBUTE AUGMENTATION AND AGGREGATION", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e0ca/c58f3855cd84b9d28f508b2f7711e0d7e44a.pdf"], "doi": []}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17325", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17325/16308"]}, {"id": "b1ffa7a926e129f8dccdd6f258fea034cbee9160", "title": "Minimizing hallucination in histogram of Oriented Gradients", "year": "2015", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/javierAVSS2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301764", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301764", "http://doi.org/10.1109/AVSS.2015.7301764"]}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "0a2aca07c9e15de3d5924e156af9a8e1a67b4cab", "title": "Person Reidentification With Reference Descriptor", "year": "2016", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tcsvt2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7067434", "http://doi.org/10.1109/TCSVT.2015.2416561"]}, {"id": "6f0417ed89e3750a3b39d0bd7de2b4d12879c2a4", "title": "Retrieval system for person re-identification", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/48718/48718.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295006", "http://doi.org/10.5220/0004871807320738"]}, {"id": "d8949f4f4085b15978e20ed7c5c34a080dd637f2", "title": "Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Chen_Deep_Spatial-Temporal_Fusion_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014925", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.191", "http://doi.org/10.1109/CVPRW.2017.191"]}, {"id": "160ab0e879f4451fa4df88cd567508150894ba9d", "title": "Cross Dataset Person Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/160a/b0e879f4451fa4df88cd567508150894ba9d.pdf"], "doi": []}, {"id": "1cbad37f54bb3d55c621c31e741472e15f832809", "title": "Integration of deep features and hand-crafted features for person re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026267", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026267", "http://doi.org/10.1109/ICMEW.2017.8026267"]}, {"id": "149d0f12530a874093a478551e7f04c6641099d8", "title": "Person re-identification via hypergraph-based matching", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2015.12.029"]}, {"id": "7bb929b8ff2f83de91318865232819be8b13fbe5", "title": "Discriminant Context Information Analysis for Post-Ranking Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815412", "http://doi.org/10.1109/TIP.2017.2652725", "https://www.ncbi.nlm.nih.gov/pubmed/28092558", "https://www.wikidata.org/entity/Q39018259"]}, {"id": "2fdb3576715829aa9bbaf74825236bbb71d06f1a", "title": "Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01911.pdf"], "doi": []}, {"id": "3529310a5b3a8b5a576651dcc994ff1755e8560c", "title": "Video-Based Person Re-identification by Deep Feature Guided Pooling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014922"]}, {"id": "0195bf2b913dbc527fb081674f480ecd8a799c34", "title": "Parametric Local Multi-modal Metric Learning for Person Re-identification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977158", "http://doi.org/10.1109/ICPR.2014.445"]}, {"id": "008d536060dfb10782e889f133551c9b87b2cfa2", "title": "Covariance descriptor based on bio-inspired features for person re-identification and face verification", "year": "2014", "pdf": ["https://hal.archives-ouvertes.fr/file/index/docid/1009958/filename/14_IMAVIS_REID.pdf", "https://jurie.users.greyc.fr/papers/14_IMAVIS_REID.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2014.04.002", "https://hal.archives-ouvertes.fr/hal-01009958/document"]}, {"id": "2d919473cf43e2522b2366271b778ce6ce7dc75c", "title": "Appearance-Based Re-identification of Humans in Low-Resolution Videos Using Means of Covariance Descriptors", "year": "2012", "pdf": ["http://akme-a2.iosb.fraunhofer.de/EatThisGoogleScholar/d/2012_Appearance-based%20re-identification%20of%20humans%20in%20low-resolution%20videos%20using%20means%20of%20covariance%20descriptors.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328015", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.12", "http://doi.org/10.1109/AVSS.2012.12"]}, {"id": "7c1f47ca50a8a55f93bf69791d9df2f994019758", "title": "Re-identification and semantic retrieval of pedestrians in video surveillance scenarios", "year": "2016", "pdf": ["http://veprints.unica.it/1295/1/PhD_ThesisPalaF.pdf"], "doi": ["https://www.base-search.net/Record/ccb1ca569ce2ea9f085d6b881e6460aba3aa6f76044859d2948b4eb9f7dda817"]}, {"id": "cfffe8b338cded442280c6435a9eb5f349f0a77c", "title": "A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354250"]}, {"id": "93498110032a458fddebfae80d7a93991e11673d", "title": "Brownian descriptor: A rich meta-feature for appearance matching", "year": "2014", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/slawek-wacv2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836077", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836077", "http://doi.org/10.1109/WACV.2014.6836077"]}, {"id": "2170636d5d31eb461618b5da10f4473c67e74e73", "title": "Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780518", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.149", "http://doi.org/10.1109/CVPR.2016.149"]}, {"id": "e216e7755e1c6850a3e64d1e6402aaf5a36e2188", "title": "From Groups to Co-Traveler Sets: Pair Matching Based Person Re-identification Framework", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Cao_From_Groups_to_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265513", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.302", "http://doi.org/10.1109/ICCVW.2017.302"]}]}
\ No newline at end of file diff --git a/site/datasets/verified/duke_mtmc.json b/site/datasets/verified/duke_mtmc.json index 7b726673..cf00f9a4 100644 --- a/site/datasets/verified/duke_mtmc.json +++ b/site/datasets/verified/duke_mtmc.json @@ -1 +1 @@ -{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "paper": {"key": "duke_mtmc", "name": "Duke MTMC", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016"}, "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "citations": [{"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "paper": {"key": "duke_mtmc", "name": "Duke MTMC", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016"}, "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "citations": [{"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}]}
\ No newline at end of file |